Literature DB >> 35923662

Autism spectrum disorder in architecture perspective: a review of the literature and bibliometric assessment of research indexed in Web of Science.

Reham Moniem Ali1, Hala A El-Wakeel1, Deema Faisal Al-Saleh1, Mai Ibrahim Shukri1, Khadeeja M N Ansari1.   

Abstract

PURPOSE: An increasing number of scholarly publications on autism spectrum disorder (ASD) have urged researcher interest in this topic; however, there is still a lack of quantitative analysis. Therefore, this study aims to cover the knowledge gap between the amount of literature published on ASD research on architectural and designers' perspectives compared to the medical and psychological fields. The study has analyzed global research output on ASD from a designer's perspective to recognize this gap related to designing the physical environment.  Methodology: The bibliometric method was employed to analyze the published literature from 1992-to 2021. 812 papers were downloaded from the Web of Science for analysis based on annual growth of literature, prolific authors, authorship pattern, organizations, countries, international collaboration, and subject development by keywords and thematic map analyses. Various bibliometric and scientometric software was used to analyze the data, namely Bibexcel, Biblioshiny, and VOS viewer.
RESULTS: The812 research papers were published in 405 sources. 2019 appeared as a productive year (NP=101), and 2014 received the highest number of citations (TC=6634). Researchers preferred to publish as journal articles (NP=538; TC=24922). The University of Toronto, Canada, was identified as a productive institution with 42 publications and 5358 citations. The USA was the leading producing country with 433 publications, and most of the researchers published in the journal " Scientific Reports" (NP=16). The word autism (NP=257) and architecture (NP=165) were more frequently used keywords.
CONCLUSION: The study identified a massive gap in the development of literature in ASD for architecture design and built environment perspective, the most important and trending keywords are missing, and the analyses also showed a lack of subject development. The authors have suggested areas and keywords for further research to fulfill the gap in the future. Copyright:
© 2022 Moniem Ali R et al.

Entities:  

Keywords:  Autism; Autism Spectrum disorder; Bibliometrics; Scientometric; Architecture; Relevant source; Web of science.

Mesh:

Year:  2021        PMID: 35923662      PMCID: PMC9326241          DOI: 10.12688/f1000research.54437.2

Source DB:  PubMed          Journal:  F1000Res        ISSN: 2046-1402


Background study of ASD

ASD is a neurodevelopmental condition that affects children from a young age. It is marked by functional impairment in social communication, limited interests, selective attention, repetitive habits, as well as hypersensitivity to touch, vision, taste, or sound in certain people ( Remington ). Autistic disorder, high-functioning autism (HFA), Asperger syndrome (AS), pervasive developmental disorder-not otherwise specified (PDD-NOS), and atypical autism is all diagnostic terminology that has previously been employed. ASD is expected to affect one out of every 88 children in the United States, with one out of every 56 boys being affected. ( Taghizadeh ). The diagnosis rates for ASD have increased sharply worldwide in the last 40 years compared with other disabilities ( Centers for Disease Control and Prevention, 2022) Pallasmaa (2005), diagnosed with ASD, said: 'I confront the city with my body.' The interaction between a person and their environment produces many physical and mental challenges for ASD. Therefore, the built environment is an important factor that significantly influences individuals' behavior directly and indirectly. ASD children are a special case, which should be defined to help them access space and inhabit it. Two issues must be considered to understand the impact of the environment on the development of one's life ( Horne, 1997): The identification of the physical environment in its material and symbolic context. The impact of the environment on one's behavior and how people perceive themselves and their surroundings. Autistic people have difficulties in processing the information from the physical environment through their senses, especially the influence of environmental stressors like noise and clutter, and they are forced to exert more effort to understand it. The difficulty in understanding provokes frustration and erratic behavior.

Theoretical models of autism

Many human-environment interaction research conducted by environmental psychologists have focused on the environment's psychological factors rather than the physical setting. This section will clarify the relationship between autism and the environment. 1- Human ecosystem (HES) In 1992, Guerin defined the Human ecosystem (HES) theory model in a learning environment to understand autistic behavior. The variables in this progress are related to the specific model components: HO, human organism: gender, age, number of children, and the level of diagnosing DE, designed environment: control of entry and exit (safety/security); classroom configuration and adaptability to make changes; lighting (artificial light/daylight); acoustics/noise; thermal comfort (temperature, humidity, ventilation, i.e. indoor air quality); wayfinding; building; FF&E (furnishings, fixtures, and equipment) materials and finishes (color, pattern) ( Kopec, 2012; Martin & Guerin, 2010). NE, natural environment: access to daylight and natural ventilation, as well as green space and/or water ( i.e. landscape elements). SE, social environment: visual, auditory, and physical communication method, as well as communication and interaction among children and caregivers in the same physical area. Some researchers regarding the Nature of autism are convinced that autism is a pandemic of modern culture, with environmental factors at the roots such as pollution; researchers found early-life exposure to air pollution may be a risk factor for autism. ( Naviaux, 2012). 2- Performance prediction model (PPM) The performance prediction model (PPM) describes the transactions between the users and their physical environment through the behavior. Also, understand how the physical environment affects user variables by observing behavior. In addition, clarify the interaction between the three components to lead to universal design principles. Even though this model is not explicitly created for ASD children, the research can be applied to users with different personal characteristics or functional abilities. This model consists of three main components (user variables, behavior, and environment). The variables in this progress are related to these specific components: User abilities: individual characteristics and functional abilities. Task outcome: behavior and experiential. Physical environment: physical characteristics, organization, and ambiance. Universal design: equitable use, flexibility in use, simple and intuitive, perceptible information, tolerance for error, low physical effort, and size and space for approach and use. This model is used as a guide for the designer in designing different types of the physical environment for different users because it helps to categorize the users according to their characteristics, which are: Cognitive abilities: include all complex mental function proses to make an action, for example, decision-making and planning ( ICF illustration library, 2021) Social and communication: include all components of the communication process with others by using different devices and methods to deliver or perceive massages ( World Health Organization, 2017) Sensory functions: includes touch, smell, visual, and hearing systems ( ICF illustration library, 2021) Mobility: the ability to manage body movements such as changing body position or location, carrying objects, and performing physical activities ( ICF illustration library, 2021) The characteristics of autism are varied in intensity, degree, and amount and manifest differently from person to person and over time. The common characteristics associated with ASD are loosely based on the DSM-5, common features of ASD, and PMM on ASD. Cognitive abilities Social and communication interaction Sensory function Activity performance There is limited research on how environments may affect behavior and be designed to meet the needs of those with ASD. Also, there is a lack of information on the experience of spaces and perceptions by people with autism. Only two research have been found namely 'MEDIATE – a responsive environment designed for children with autism ( Gumtau ) and 'Could light colour and source change mood in children with autism? ( Hernandez Rivera, 2020). 3- Theoretical underpinnings of design Interior designers concentrate on the design of the interior environment with the requirements of the person who will inhabit the space as the driving force behind all design decisions. Human factors, lighting, occupant wellbeing and performance, post-occupancy evaluation, research, theories about the relationship between human behavior and the https://discovery.ucl.ac.uk/id/eprint/10108977/7/Hernandez%20Rivera_10108977_Thesis_redacted.pdf designed environment, and universal design are among the ten knowledge areas covered by the 'Human Environment Needs: Research and Application' (HEN) category. Experts on ASD consider the first six years of school, from preschool to sixth grade, important in reaching children and laying the groundwork for lifelong learning and general wellbeing. Even when daily activities are meticulously organized, classrooms attended by children with ASD or other children are highly dynamic, unpredictable environments. Because of this instability, examining the architecture of classroom space in schools where children with ASD attend from preschool to sixth grade is difficult. However, the framework identified by ( Guerin, 1992), which recognized the interaction of the human organism (HO), the BTE, the natural environment (NE), and the behavioral environment (BHE). Autism spectrum disorder (ASD) is a complicated neurological disorder that, until now, has been inscrutable. The population of individuals on the spectrum worldwide is increasing due to the increased awareness. As their numbers grow, professionals in many fields started studying their ASD cases to provide them with a better life ( Hauptman ). Individuals on the spectrum are part of a growing population usually ignored in design despite the current tendency to create designs that focus on persons with special needs. There are binding recommendations and laws on designing buildings that respect physical disabilities, and the field is rich in design applications for physical needs ( Sánchez ). By contrast, there is utter indifference toward the person with mental health disabilities, even with guidelines for inclusion of children with physical impairment are used and successful, the inclusion of children with mental disabilities lags much behind ( Bilbo ) in their research mentioned that "the environment plays a role in human behavior" that greatly influenced the practice of interior architects designing people centers design. ASD children have sensory processing difficulties, which create challenges in understanding the surrounding environment, thus affecting their behaviors negatively ( Sánchez ). The built environment can cause extra confusion, which negatively impacts children with ASD due to the challenging developmental disorder of the ASD. Architects and interior architects are responsible for providing an inclusive built environment to improve the quality of life, especially for people with special needs ( Kopec, 2012), yet it is still relatively unnoticed by architects and designers as it's still excluded from building codes or design guidelines. Environmental and behavioral research has profoundly influenced the practice of interior architecture as it's vital to explore the environmental design for autism. A vast amount of literature has been published on autism in medical and psychological journals over the years. However, few studies from an architectural perspective have been published even though the role of the sensory environment in autistic behavior has been an issue of debate since Leo Kanner first defined the disorder in 1943 ( Kanner, 1943). Recently, architects have become interested in finding out about the relationship between environment and autistic behavior to provide a suitable environment and support wellbeing. Few interior designers and architects have yet started to define codes and guidelines such as Autism Planning and Design Guidelines 1.0 by Knowlton School of Architecture (2018) as a design solution for ASD to build autism-friendly surroundings that support users with ASD and prepare them to face other environments. The designer's approach usually compares children with ASD and without through their behaviors to find the differences in their needs in the environment ( Delmolino & Harris, 2012). Environmental and behavioral research has profoundly influenced architecture, and there is a growing need and trend toward user-centered and evidence-based design research to create an environment where people with ASD can thrive. Few scientometric studies have been done to cover the knowledge gap in the ASD research, in that the authors considered examining the topic generally, such as Ozgur & Balci (2022). They found that 'studies on autism have increased significantly in recent years. While approximately 150 studies were published annually in the early 80s, around 6000 studies were published in 2020. In this study, 59653 publications were retrieved, 63.69% of which were journal articles. The remaining publications were reviews, meeting abstracts, editorial materials, proceedings papers, etc. The primary language was English (96.70%) for the retrieved articles. Other languages like Spanish, French, German, Portuguese, Russian, Turkish, etc., were also encountered. Sweileh studied growth of ASD research from 2005 to 2014 and found a total of 18,490 articles were retrieved. The Journal of Autism and Developmental Disorders, with 48,416 citations and an average of 23.59 citations per article, was identified as the most prolific journal. The United States (US) (n = 8594; 46.48 %), the United Kingdom (n = 2430; 13.14 %) and Canada (n = 1077; 5.8 %) have been most productive countries. King's College London (UK) was found on the top of the list for producing literature and receiving citations. 50% of the highly cited articles were in molecular genetics, and the papers with more than 50 citations were published mainly by authors from USA, UK, and Canada. The above general studies conclude that most literature is based on medical, biotechnology, and psychological perspectives. Most funding agencies are identified as medical institutions, and the US is the most contributing country to generating the literature. Most ASD research in article form and double and triple authorship has more consideration. The citation rate shows an increase in the trend, and the growth in ASD research literature in terms of medical and psychological are noted as a steady increase and are higher in this decade. However, the development of ASD literature in the architectural field has not been found. Therefore, based on the scientometric analysis, the present study considers estimating and identifying the gaps in the available literature on ASD from the architectural perspective compared to the literature available from the other perspectives, such as medical and psychological. What are the annual research trends and types of ASD research based on architectural design perspectives from 1992–to 2021? Which authors are the most prolific, and what is the authorship trend in autism research? What are the most relevant journals in journals in autism? What are the most important organizations and countries in autism? What are the most used keywords of autism in the field of architecture? What are the most global collaborative countries producing scientific literature on autism? What were the most cited documents and cited references in autism? What are the most influential funding agencies?

Research methodology

Statistical techniques are used to analyze different types of publications such as books, conferences, journal articles, etc., known as bibliometrics. Scientometrics is the sub-field of bibliometrics that studies quantitative means of investigation, scholarly publishing practices, publishing trends, trend topics, etc. This study, therefore, applies the scientometric method to ASD in the architecture field to estimate the literature gap. The required literature on autism was retrieved from the Web of Science (as of 4 th June 2021). The following search query involved in the Web of Science database ( Clarivate Analytics, 2020) TOPIC: "autism" Refined by: TOPIC: "architecture" Further refined by language: English Timespan: All years. Indexes: SCI-EXPANDED, SSCI, A&HCI, CPCI-S, CPCI-SSH, ESCI. 812 documents have been retrieved ( Figure 1) for final analysis during 1992–2021. All the research data was downloaded in BibTeX, Tab-Delimited (win), plain text, and analyzed with Microsoft Excel (RRID:SCR_016137; Google Sheets (RRID:SCR_017679) is an open access alternative) and Scientometric and bibliometrics tools, namely Bibexcel ( Persson ), Biblioshiny ( Aria & Cuccurullo, 2017), and VOSviewer ( van Eck & Waltman, 2010).
Figure 1.

Four phase flow chart of data extraction and filtration process.

Results and discussion

From 1992 to 2021, 405 sources were contributed by 5088 authors with 812 papers in autism. Single authored documents were 61 papers; hence authors in autism produce more research in collaboration. The average number of years of publications is 5.74, the average number of citations per document 43.21, and the average number of citations per year per document 5.711. 36,654 references have been consulted to produce 812 research papers. The number of documents per author is 0.16, authors per document are 6.27, Co-authors per document is 8.16, and the collaboration index is 6.71.

Annual research growth and citation's structure in autism spectrum disorder during 1992–2021

The first research paper on autism was recorded in 1992 with 382 citations (no publication indexed in 1993, 1995, 1996, 1997, and 2003), similar results reported by ( Kumar ). Though the research output gradually increases, but shallow up until 2012. The autism research increased markedly after 2013, noticeably more than 50 papers appeared every year after 2013. The year 2019 was the most successful in term of the number of the article (NP=101), followed by the year 2016 and 2017, in which the second highest number of research papers published, coincidently the year 2018 and 2020 have equal number published articles (NP=84) and the year 2021 have 35 papers with 19 citations. The highest number of citations received in 2014 (TC=6634) for 53 publications, followed by the year 2011 (TC=4078) for 31 papers and the year 2010 (TC=3108, TP=34) ( Table 1).
Table 1.

Annual research growth and citation's structure.

YearArchitectureTCArt/DesignNPTCCitation sum within h-coreh-index
1992 00013823821
1994 0001000
1998 000229292
1999 00142352353
2000 00031741743
2001 0001000
2002 00021261262
2004 10051361364
2005 00133303292
2006 00075575536
2007 000112196218810
2008 1011862861413
2009 2110221547152216
2010 000343108300026
2011 000314078400824
2012 000312360230124
2013 120512467223928
2014 000536634630530
2015 201582093181822
2016 3171852549197227
2017 1110851965139623
2018 121841726124021
2019 3401011451103516
2020 1008428813910
2021 0003519133

*NP=Number of Publications **TC=Total Number of Citations

*NP=Number of Publications **TC=Total Number of Citations The authors have scanned all these documents to pinpoint the exact number of research papers purely on architectural design perspective and found a quite low number also, some of it belongs to art and design, these numbers represent the actual gap in the literature, which authors intended to explore and found that gap is quite huge. See ( Table 1). The first paper on ASD research based on a purely architectural design perspective was published in 2004 and then in 2008. These papers remain unrecognized since they didn't receive a single citation. After a gap of 5 years, another research published under the title "Autism and Architecture" by Segado VF and Segado TA in 2013 received 2 citations; then, in 2015, two research papers were published, again without citations. In 2016 three research papers were published, namely "Interaction Design in the Built Environment: Designing for the Universal User" with 2 citations, "Designed by the pupils, for the pupils: An autism-friendly school" with 7 citations, and "Autism-Friendly Architecture from the outside in and the inside out An explorative study based on autobiographies of autistic people" with 8 citations. In 2017 only one research published under the name "Toward an autism-friendly home environment" by Nagib W and Williams A received 11 citations. A single research in 2018 as, "Sensory Spaces: Sensory Learning - An experimental approach to educating future designers to design autism schools," by Love JS, published in ARCHNET-IJAR, received only 2 citations. Three research papers were published in 2019 under the title Quality of the built environment from the point of view of people with autism spectrum disorder", "The impact of color and light on children with autism in interior spaces from an architectural point of view," and "Studio teaching experiments- spatial transitioning for autism schools" begged 0, 1,1 citations respectively. During pandemic 2020, only one research was published and didn't receive citations, and in 2021 (continuing years) didn't notice any research. Therefore, only 16 ASD research papers were purely related to architectural design from 812 documents noted from 1992 to 2021, with as many as 11 citations. These number of documents and citations reveal that these research areas are not very popular amongst the researchers. Please refer to the recent growth in general ASD research ( Ozgur & Balci, 2022), as mentioned in the literature review.

Type of research papers

The journal articles (NP=537) were the most preferred form, which agrees with ( Rahaman ). The review found a second preferred form (NP=142), followed by proceedings papers (NP=71) and then meeting abstract (NP=17). Other documents were minor in the list, published only three papers each. On the other hand, the articles also received the highest number of total cations (24922), followed by review (TC=8916) ( Table 2). The research was purely based on an architectural perspective, mostly published as journal articles (13) and then as proceeding papers (3) out of 16. Please refer to ( Table 1) for the total number of pure architectural design research.
Table 2.

Type of research.

RankDocument typeNPTCCitation sum within h-coreh-index
1 Article538249221672573
2 Review1428916708545
3 Proceeding’s paper71183927
4 Meeting abstract17000
5 Article Proceedings paper124364197
6 Review; book chapter83833815
7 Editorial material71621604
8 Article; early access71192
9 Review; early access4111
10 Book chapter355542
11 Letter321212

*NP=Number of Publication **TC=Total Number of Citations

*NP=Number of Publication **TC=Total Number of Citations

Productive organization

It is evident that the top ten organizational productivity ranges between 25 to 42 publications ( Table 3). The University of Toronto is the leading organization in autism research (NP=42), followed by Vanderbilt University (NP=37), University of California, Los Angeles (NP=35), Yale University (NP=33), and Massachusetts General Hospital (NP=30). Harvard Medical School (NP=25) identified as the minor producer of research in the top ten list. Interestingly, most of the listed organization are in the USA (9 organizations), and one organization from Canada. Stanford University was the most cited organization (TC=6686) for 28 publications, followed by Yale University (TC=6059) for 33 research in autism.
Table 3.

Top ten organization-wise research in autism.

RankAffiliationCountryNPTCCitation sum within h-coreh-index
1 Univ TorontoCanada425358516222
2 Vanderbilt UnivUSA375529540727
3 Univ Calif Los AngelesUSA355302518423
4 Yale UnivUSA336059598722
5 Massachusetts Gen HospUSA304707461120
6 Univ Calif San FranciscoUSA304499444917
7 Stanford UnivUSA286686664319
8 Univ Calif San DiegoUSA272541247617
9 Hosp Sick ChildrenCanada264201413218
10 Harvard Med SchUSA25101395014

Productive country

Moreover, it is found that the top eight countries produced over 50 research papers ( Table 4). Only two countries have over 100 articles on autism. The USA had outstanding research output in autism with 433 publications and 27124 citations, followed by the UK (118 publications, 7569 citations), Canada (79 publications, 6816 citations), China (72 publications, 3339 citations), and France (60 publications, 3304 citations). This result parallels the previous scientometric analyses on ASD research, which says that the USA is highly active in producing ASD literature.
Table 4.

Top ten country-wise research in autism.

RankCountryNPTCCitation sum within h-coreh-index
1 USA433271241940976
2 UK1187569661237
3 Canada796816628131
4 Peoples R China723339297020
5 France603304302722
6 Germany595706542424
7 Italy593263293821
8 Netherlands554490421326
9 Australia462048185620
10 Sweden364499436820
The analyses reveal that half of the research in autism contributed by the USA that received the highest number of citations (TC=27124) for 433 publications, followed by the UK with 7569 citations with 118 publications, and Canada with 6816 citations and 79 publications. Australia managed minimum citation (TC=2048) in the list with 46 publications.

The relevant sources in ASD

All the top ten sources have more than 12 publications; coincidentally, six sources ( American Journal of Human Genetics, American Journal of Medical Genetics Part B-Neuropsychiatric Genetics, Biological Psychiatry, Molecular Autism, Molecular Psychiatry, Neuron) produced 12 publications each. Scientific Reports (Nature Publishing Group) was considered the most relevant source with 14 publications and 203 citations, followed by Nature Neuroscience (Nature Publishing Group) with 14 publications and 1986 citations and Human Molecular Genetics and Plos One with 13 publications each and 1015 and 371 citations, respectively. The analysis reveals that most of the sources belongs to the Q1 category (eight sources), and two in Q2 category. The highest impact factor journal in the list was Nature Neuroscience (JIF=20.07), followed by Neuron (JIF=14.41) and Molecular Psychiatry (JIF=12.38) ( Table 5). These results also revealed the gap in the development of the ASD research literature in terms of architectural design perspective. The top ten journals are again from genetic, molecular biology, and biological psychiatry; this top ten listing lags the source in the areas of architecture or architectural design. Hence, the authors have further explored the sources in which the 16 research papers purely on architectural design have been published. They found very few but popular sources in the field, namely, Archnet-IJAR International Journal of Architectural Research, International Journal of Arts and Technology, Housing Studies, Journal of Housing and the Built Environment, Journal of Intellectual Disability Research, Journal of Policy and Practice in Intellectual Disabilities, Advances in Human Factors, Sustainable Urban Planning, and Infrastructure.
Table 5.

Top ten appropriate sources in autism.

RankSourceJIFQCountryPublisherNPTCh_indexg_indexm_index
1 Scientific Reports 3.99Q1UKNature162039141.29
2 Nature Neuroscience 20.07Q1USANature14198611141.00
3 Human Molecular Genetics 5.1Q1UKOxford University Press13101510130.83
4 Plos One 2.74Q2USAPublic Library of Science133719130.75
5 American Journal of Human Genetics 10.5Q1USACell Press12109310120.67
6 American Journal of Medical Genetics Part B-Neuropsychiatric Genetics 3.38Q2USAWiley-Liss122938120.67
7 Biological Psychiatry 12.09Q1USAElsevier1243910120.77
8 Molecular Autism 5.86Q1USABMC122269120.82
9 Molecular Psychiatry 12.38Q1USANature121290912
10 Neuron 14.41Q1USACell Press12161211120.73

*NP=Number of Publication **TC=Total Number of Citations ***JIF=Journal impact factor ****Q=Quartile

*NP=Number of Publication **TC=Total Number of Citations ***JIF=Journal impact factor ****Q=Quartile

Prolific authors

This analysis reveals that the article range of authors varied between nine and 12. Five authors (Devlin B, Geschwind DH, Scherer SW, State MW, and Wang Y) emerged as the most prolific authors with 13 publications each, 4383, 3409, 3338, 3662, and 333 citations, respectively. Buxbaum JD (Icahn School of Medicine at Mount Sinai) found as the second highest prolific author with 13 publications and 2970 citations, followed by Bourgeron T, Eichler EE, and Li Y with 11 publications and 2142, 1944, and 568 citations, respectively. Casanova MF (University of South Carolina School of Medicine) noted as the least contributed authors in the top ten list with nine publications and 361 citations. Devlin B (Mount Sinai School of Medicine) was the most cited author with 4383 citations for 13 publications, followed by Geschwind DH with 3409 citations for 13 publications, and Wang Y (Carnegie Mellon University) managed only 333 citations for 13 publications. The table also shows that the most prolific authors belong from the USA (7 authors), followed by Canada, France, and China. ( Table 6). It is also revealed that most of the authors belong to medicine and psychology; the authors from the field of architecture are missing from the top 10 list. There are 24 authors found contributing to ASD research in the field of architectural design, amongst them Tufvesson C; Tufvesson J, and Nagib W; Williams A contributing one paper and begged 11 citations, followed by Kinnaer M; Baumers S; Heylighen A (NP=1, TC=8), Mcallister K; Sloan S (NP=1, TC=7). The other authors with one paper received two citations are Segado Vazquez F; Segado Torres A; Dalton C; and Love JS. Shareef SS; Farivarsadri G received one citation for one paper, and the other nine authors didn't receive a citation.
Table 6.

Top ten most productive authors in autism research.

RankAuthorAffiliationCountryNPTCh_indexg_indexm_index
1 Devlin BMount Sinai School of MedicineUSA13438312130.80
2 Geschwind DHUniversity of CaliforniaUSA13340912130.80
3 Scherer SWUniversity of TorontoCanada13333812130.80
4 State MWMount Sinai School of MedicineUSA13366212130.86
5 Wang YCarnegie Mellon UniversityUSA133339131.00
6 Buxbaum JDIcahn School of Medicine at Mount SinaiUSA12297010120.63
7 Bourgeron TUniversité de ParisFrance1121429110.60
8 Eichler EEUniversity of Washington,USA1119449110.75
9 Li YPeking UniversityChina115687111.17
10 Casanova MFUniversity of South Carolina School of MedicineUSA9361990.45

*NP=Number of Publication **TC=Total Number of Citations

*NP=Number of Publication **TC=Total Number of Citations

The pattern of authorship

The Figure 2 illustrated the pattern of authorship in autism literature. It was clear from the figure that the authorship pattern ranged from single to two hundred and forty-seven. The analysis reveals that collaborative research is more prominent among the research of autism over the study period. The top six authorship patterns produced over 50 publications in the field. Three authorship patterns (NP=123) contributed a maximum article in autism, followed by two authorship (NP=120), four authorship (NP=93), five authorship (NP=79), single authorship (NP=61), and six authorship (NP=56). The authorship of 27, 36, 38, 39, 40, 42, 46, 56, 58, 65, 67, 73, 86, 88, 118, 125, 146, and 247 each contributed only single publications in autism. The results also showed that two authorship patterns received the highest number of citations (TC=4775), followed by five authorship (TC=3296) and Three authorship (TC=3071). Rahaman conducted a similar type of authorship pattern analysis ( Rahaman ).
Figure 2.

Pattern of authorship in autism.

Mapping co-occurrence of all keywords (author and indexed)

Figure 3 shows analysis of all keywords used in autism research from 1992–to 2021. The results showed that 3848 keywords appeared in autism research. To map the co-occurrence of all the keywords, minimum of 15 occurrences of keywords were considered for analysis. Out of 3848 keywords, only 79 keywords met the thresholds, and all 79 selected keywords are clustered in Figure 3 with 1737 links and total link strength (5557). The size of the ball indicates a strong network of keywords, with each color representing a distinct cluster.
Figure 3.

Keyword analysis using Vosviewer.

Cluster 1 comprises 31 keywords (abnormalities, activation, adolescents, adults, architecture Asperger-syndrome, autism, autism spectrum disorder, autism spectrum disorders, behavior, brain, childhood, children, classification, connectivity, cortex, diagnostic interview, fMRI, functional connectivity, high-functioning autism, human cerebral-cortex, meta-analysis, networks, organization, patterns, pervasive developmental disorders, sleep, spectrum disorder, spectrum disorders, white-matter, and young-children). Cluster 2 has 22 keywords (association, bipolar disorder, copy number variation, disorder, genes, genetic architecture, genetics, genome-wide association, heritability, identification, individuals, linkage, mutations, phenotype, prevalence, psychiatric-disorders, reveals, risk, schizophrenia, spectrum, susceptibility, and variants). Cluster 3 includes 19 keywords (brain-development, copy number variants, copy-number variation, de-novo mutations, disease, disorders, epilepsy, evolution, expression, gene, intellectual disability, mechanisms, mental-retardation, network, neurodevelopmental disorders, neurons, prefrontal cortex, protein, and structural variation). Cluster 4 has seven keywords (fragile x syndrome, fragile-x-syndrome, gene-expression, mental-retardation protein, mouse model, rett-syndrome, and synaptic plasticity). The top ten keywords were autism (frequency=257), architecture (165), autism spectrum disorder (127), children (123), schizophrenia (92), autism spectrum disorders (91), de-novo mutations (86), Risk (73), brain (59) and expression (freq.=55) had weighty number of occurrence with strong total link strength. Each cluster is based on the theme, which shows the various aspect of the subject and its development. The themes special for architecture or design or built environment are missing to track the development of the subject. The authors have found a few trendy keywords are missing here, such as acoustics, acoustical control, spatial sequencing, escape spaces, compartmentalization, natural light, fluorescent light, snoezelen, sensory environment, multisensory, neutral sensory, hypersensitive, hyposensitive, sensory trigger, sensory zoning, stimulus level, overstimulating, transition, transition spaces, safety, audio, auditory, auditory processing, distraction, interactive, tactile, tactile sense, altered senses.

Thematic map by title

Figure 4 shows four alternative typologies of themes that can be visualized using a thematic map. The thematic parameter is considered the title selected for the field, the minimum number of words selected is 80, and Unigram is selected for the graph.
Figure 4.

Thematic map by title analysis.

The basic theme: Autism spectrum which represented by cluster 1 (autism, spectrum, disorder, children, brain, network, functional, connectivity, based, analysis, sleep, neural, developmental, learning, networks, structural, reveals, system, approach, design, matter, review, robot, resting, control, developing and white). The motor theme: architecture human in cluster 2 (architecture, human, gene, syndrome, social, development, cortical, protein, autistic, model, synaptic, fragile, neuronal, cognitive, ASD, altered, behavior, mental, mice, role, cortex, expression, function, visual, cell, mouse, processing, and activity. Niche theme: genetic disorder placed in cluster 3 (disorders, genetic, variants, risk, schizophrenia, neurodevelopmental, genes, psychiatric, rare, common, de, genetics, novo, genomic, related, mutations, copy, disease, mechanisms, and sequencing). Emerging or declining theme: study genome represented by cluster 4 (study, genome, association, wide and evidence).

Most cited research papers in autism

The top ten papers ( Table 7) have more than 300 citations, published between 2007 and2015. "Large-scale brain networks and psychopathology: a unifying triple network model" (2011) by Menon V, published in Trends Cogn Sci was the topmost cited paper (1425 citations) ( Menon, 2011), followed by "Synaptic, transcriptional and chromatin genes disrupted in autism" (2014) by De Rubeis S, appeared in " Nature" (1220 citations) ( De Rubeis ), "The contribution of de novo coding mutations to autism spectrum disorder" (2014) by Iossifov I, published in Nature (1118 citations) ( Iossifov ), "Mapping autism risk loci using genetic linkage and chromosomal rearrangements" (2007) by Szatmari (999 citations) ( Szatmari ). "Dendritic spine pathology in neuropsychiatric disorders" (2011) by Penzes (838 citations) ( Penzes ), and "A genome-wide scan for common alleles affecting risk for autism" was the least cited paper among the top ten (393 citations) ( Anney ). It was noticeable that half of the top ten cited papers were published by Nature Publishing Group. The article entitled "Synaptic, transcriptional and chromatin genes disrupted in autism" ( De Rubeis ) has the highest total citations per year (152.50).
Table 7.

Top ten cited papers.

RankTitleAuthorYarSourceTCTC/YearN/TC
1 Large-scale brain networks and psychopathology: a unifying triple network model ( Menon, 2011)Menon V2011Trends Cogn Sci1425129.5510.83
2 Synaptic, transcriptional and chromatin genes disrupted in autism ( De Rubeis et al., 2014)De Rubeis S2014Nature1220152.509.75
3 The contribution of de novo coding mutations to autism spectrum disorder ( Iossifov et al., 2014)Iossifov I2014Nature1118139.758.93
4 Mapping autism risk loci using genetic linkage and chromosomal rearrangements ( Szatmari et al., 2007)Szatmari P2007Nature Genet99966.605.00
5 Dendritic spine pathology in neuropsychiatric disorders ( Penzes et al., 2011)Penzes2011Nat Neurosci83876.186.37
6 The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism ( Di Martino et al., 2014)Di Martino A2014Mol Psychiatr76996.136.14
7 Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci ( Sanders et al., 2015)Sanders Sj2015Neuron56380.4315.60
8 Most genetic risk for autism resides with common variation ( Gaugler et al., 2014)Gaugler T2014Nature Genet54267.754.33
9 Mapping Early Brain Development in Autism ( Courchesne et al., 2007)Courchesne E2007Neuron48532.332.43
10 A genome-wide scan for common alleles affecting risk for autism ( Anney et al., 2010)Anney R2010Hum Mol Genet39332.754.30

*N/TC=Normalized total citation

*N/TC=Normalized total citation The papers that are well received in architecture or architectural design are not listed here due to a lack of citations than the papers in the other fields; hence, the ASD research in the given fields is less prevalent. The most cited papers in the architectural field are: ' The building process as a tool towards an all-inclusive school. A Swedish example focusing on children with defined concentration difficulties such as ADHD, Autism, and Down's Syndrome (2009) and 'Toward an Autism-friendly home environment' (2017) received 11 citations each. ' Autism-friendly architecture from the outside in and the inside out: An explorative study based on autobiographies of Autistic people' (2016) received eight citations, and 'Designed by the pupils, for the pupils: An Autism-friendly school' (2016) got seven citations.

Most Cited references in autism research

Table 8 explained the most top ten cited references in autism research. It is clear from the table that all listed references received more than 50 citations. Article entitled "Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci" (2015) by Sanders SJ, appeared in 'Neuron' was the most cited (TC=92) reference in autism research ( Sanders ), followed by an article named 'Synaptic, transcriptional and chromatin genes disrupted in autism (2014) by De Rubeis S with 91 citations ( De Rubeis ), 'and 'The contribution of de novo coding mutations to autism spectrum disorder' (2014) by Lossifov I with 91 citations and appeared in the journal Nature ( Iossifov ). The cited references 'De novo gene disruptions in children on the autistic spectrum (2012) by Iossifov I published in 'NEURON' was the most diminutive receiver of citation with 61 TC ( Iossifov ). However, the top ten listed references belong to the biotechnology, genetic architecture, and medicinal aspects; the gap identified here is the lack of ASD study on architectural in terms of designer perspective.
Table 8.

top ten cited references.

RankTitleAuthorYearSourceTC
1 Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci ( Sanders et al., 2015)Sanders SJ2015NEURON92
2 Synaptic, transcriptional and chromatin genes disrupted in autism ( De Rubeis et al., 2014)De Rubeis S2014Nature91
3 The contribution of de novo coding mutations to autism spectrum disorder ( Iossifov et al., 2014)Iossifov I2014Nature91
4 Strong association of de novo copy number mutations with autism ( Sebat et al., 2007)Sebat J2007Science79
5 Functional impact of global rare copy number variation in autism spectrum disorders ( Pinto et al., 2010)Pinto D2010Nature77
6 De novo mutations revealed by whole-exome sequencing are strongly associated with autism ( Sanders et al., 2012)Sanders SJ2012Nature73
7 Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations ( O'Roak et al., 2012)O'roak BJ2012Nature70
8 Structural variation of chromosomes in autism spectrum disorder ( Marshall et al., 2008)Marshall CR2008AM J HUM GENET69
9 Patterns and rates of exonic de novo mutations in autism spectrum disorders ( Neale et al., 2012)Neale BM2012Nature68
10 De novo gene disruptions in children on the autistic spectrum ( Iossifov et al., 2012)Iossifov I2012NEURON61

Highly influential funding agencies

There are only four funding agencies from the top 10 list which funded more than 100 research papers ( Table 9). National Institutes of Health renowned as leading funding agency (313 publications, 23087 citations), followed by the United States Department of Human Health Services (313 publications, 22759 citations), the National Institute of Mental Health (182 publications, 16164 citations), European Commission (111 publications, 8476 citations), and National Institute of Child Health Human Development (66 publications, 7927 citations). The Wellcome Trust appeared as the least influential funding agency among the top ten (36 publications, 3959 citations). The USA was dominant in the top ten list (six funding agencies), followed by the UK (three funding agencies) and one agency from the EU.
Table 9.

Top ten funding agencies in autism.

RankFunding agenciesCountryNP% Of 812TC
1 National Institutes of HealthUSA31338.54723087
2 United States Department of Health Human ServicesUSA31338.54722759
3 National Institute of Mental HealthUSA18222.41416164
4 European CommissionEU11113.678476
5 National Institute of Child Health Human DevelopmentUSA668.1287927
6 National Institute of Neurological Disorders StrokeUSA627.6357101
7 National Institute of General Medical SciencesUSA506.1582827
8 UK Research InnovationUK506.1584947
9 Medical Research Council UKUK485.9115097
10 Wellcome TrustUK364.4333959
It is to be noted that all funding agencies belong to the health and medicine except one that is the 'UK Research Innovation,' which is a good sign for the researcher belonging to the field of innovation, architecture, design, and creativity to apply for a funded research/projects.

Country collaboration in autism

The most dominant country collaborations were the USA and United Kingdom (51 publications), followed by the USA and Canada (43 publications), the USA and China (38 publications), the USA and Italy (26 publications), and the USA and the Netherlands (26 publications). The USA with Sweden collaboration (19 publications) was listed at the bottom of the top ten list. It was interesting to show that the USA collaborated with nine countries (the UK, Canada, China, Italy, the Netherlands, Germany, France, Australia, and Sweden). The UK followed this with two countries (the USA and Canada). ( Figure 5).
Figure 5.

International collaboration map.

Conclusion

This bibliometric study has been proposed to cover the knowledge gap between the amount of literature that has been published on autism in medical and psychological journals over the years and the published research with the architectural and design approach. However, no other bibliometric analysis has been done from 1992 to 2021 that comprehensively evaluates and summarizes the literature, progress, and future directions of this key sub-area of ASD research. The results are eye-opening since only 16 out of 812 papers retrieved are purely relevant to the architectural and designers' perspective. The other papers are medicine, psychology, biotechnology, ICT, computer software design, etc. The keywords and thematic analyses identified the huge missing gap since all are too generic, therefore, the authors have identified a few missing keywords, which leads them to suggest that more ASD research needs to be done in terms of built environment characteristics, negative sensory experiences, and conducive design features. The literature review indicated that the performance prediction model (PPM) needs more research since, for over 2 decades, only 2 projects (cited in literature review) focused on describing the transactions between the users and their physical environment through the behavior. It also suggested that designers need to work more in defining codes and guideline to build autism-friendly environment to support people with ASD. The top ten analyses of the country, institution and funding agencies show that the USA is highly active in producing ASD research. Stanford University is noted as the most cited organization might be due to its own program for Autism research, extending a good platform for the researchers in this field. The 'UK Research Innovation' is the only funding agency to provide opportunities to researchers in design and innovation.This research also leads researchers to discover the most influential publications, authors, and journals in this field. Here are a few noteworthy emerging trends (the missing gap in this study) in ASD research where researchers in the field of architectural design and built environment can dwell in are; acoustical control, spatial sequencing, escape spaces, compartmentalization, snoezelen, sensory environment, sensory zoning, overstimulation, transition spaces, safety, auditory processing, tactile sense, altered senses.

Data availability

Underlying data

Zenodo: Underlying data for 'autism spectrum disorder in architecture perspective: A review of the literature and bibliometric assessment of research indexed in Web of Science'. https://doi.org/10.5281/zenodo.5080242 Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0). Authors answered to my comments, and I would like to approve the article. Is the work clearly and accurately presented and does it cite the current literature? Partly If applicable, is the statistical analysis and its interpretation appropriate? Not applicable Are all the source data underlying the results available to ensure full reproducibility? Yes Is the study design appropriate and is the work technically sound? Partly Are the conclusions drawn adequately supported by the results? Partly Are sufficient details of methods and analysis provided to allow replication by others? Partly Reviewer Expertise: NA I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. The authors have collected an exclusive dataset from Web of Science using quantitative methodology. The bibliometric method to map the global research publication on autism spectrum disorder in architecture perspective, definitely contributes to the field and other researchers. It can help them decide the most productive country, journals, organization, pattern of authorship, most important author keywords, research themes, and new international collaboration. The analyses, results, and interpretation display interesting and beneficial data. Moreover, quality of the text is good. There are a few unnecessary capitalizations in the sentences, but ignorable. Overall the paper represents valuable information regarding autism spectrum disorder in architecture research. Is the work clearly and accurately presented and does it cite the current literature? Yes If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Yes Is the study design appropriate and is the work technically sound? Yes Are the conclusions drawn adequately supported by the results? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes Reviewer Expertise: I have enough knowledge in the field of bibliometric and scientometric studies. I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. The authors performed an interesting bibliometric study. They focused mainly on quantitative aspects of the research on autism-related architectural design. However, the paper should be amended in some aspects to make it more informative for readers and to make the study repeatable. First, the introduction and the literature review should be extended with a description of bibliometrics, evidence of its successful use (and the reason why they selected bibliometrics as a knowledge synthesis method), the bibliometrics tools used should be shortly described and their use in the study stated more clearly. There are already some bibliometrics studies on autism and other disabilities already published, authors should point to them in the literature review and connect their research to already performed studies (they should also compare their results to results of similar studies in the discussion section). In the results section, they should point out which bibliometric tool was used to produce them. The results should also be extended with qualitative aspects, actually, the discussion is mostly missing. What is the meaning of the results, who can use them, and for what purpose. In the conclusion, authors mention that research gaps, research directions could be derived from their results, but the readers could benefit much more if the authors themselves will reveal hot topics, gaps, directions, etc. Authors should describe revealed clusters from keywords analysis in more detail. They should use thematic or content analysis to name and describe clusters, point to relevant literature, etc. Is the work clearly and accurately presented and does it cite the current literature? Partly If applicable, is the statistical analysis and its interpretation appropriate? Not applicable Are all the source data underlying the results available to ensure full reproducibility? Yes Is the study design appropriate and is the work technically sound? Partly Are the conclusions drawn adequately supported by the results? Partly Are sufficient details of methods and analysis provided to allow replication by others? Partly Reviewer Expertise: Computer science, bibliometrics, machine learning, health informatics I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above. Authors Response: Done, the authors have worked more on the dataset and amended the annual literature growth table 1 to compare the literature growth in general with literature growth from the architectural and designers' perspective. Authors Response: Done, the introduction and the literature review have been extended and previous bibliometric studies included and compared the results. Authors Response: Done, all the issues raised have been addressed. Comment of reviewer: The authors performed an interesting bibliometric study. They focused mainly on quantitative aspects of the research on autism-related architectural design. However, the paper should be amended in some aspects to make it more informative for readers and to make the study repeatable. Comment of reviewer: First, the introduction and the literature review should be extended with a description of bibliometrics, evidence of its successful use (and the reason why they selected bibliometrics as a knowledge synthesis method), the bibliometrics tools used should be shortly described and their use in the study stated more clearly. There are already some bibliometrics studies on autism and other disabilities already published, authors should point to them in the literature review and connect their research to already performed studies (they should also compare their results to results of similar studies in the discussion section). In the results section, they should point out which bibliometric tool was used to produce them. The results should also be extended with qualitative aspects, actually, the discussion is mostly missing. What is the meaning of the results, who can use them, and for what purpose. In the conclusion, authors mention that research gaps, research directions could be derived from their results, but the readers could benefit much more if the authors themselves will reveal hot topics, gaps, directions, etc. Authors should describe revealed clusters from keywords analysis in more detail. They should use thematic or content analysis to name and describe clusters, point to relevant literature, etc.
  24 in total

1.  Matching children on the autism spectrum to classrooms: a guide for parents and professionals.

Authors:  Lara Delmolino; Sandra L Harris
Journal:  J Autism Dev Disord       Date:  2012-06

2.  De novo gene disruptions in children on the autistic spectrum.

Authors:  Ivan Iossifov; Michael Ronemus; Dan Levy; Zihua Wang; Inessa Hakker; Julie Rosenbaum; Boris Yamrom; Yoon-Ha Lee; Giuseppe Narzisi; Anthony Leotta; Jude Kendall; Ewa Grabowska; Beicong Ma; Steven Marks; Linda Rodgers; Asya Stepansky; Jennifer Troge; Peter Andrews; Mitchell Bekritsky; Kith Pradhan; Elena Ghiban; Melissa Kramer; Jennifer Parla; Ryan Demeter; Lucinda L Fulton; Robert S Fulton; Vincent J Magrini; Kenny Ye; Jennifer C Darnell; Robert B Darnell; Elaine R Mardis; Richard K Wilson; Michael C Schatz; W Richard McCombie; Michael Wigler
Journal:  Neuron       Date:  2012-04-26       Impact factor: 17.173

Review 3.  Autism spectrum disorder (ASD) and its perioperative management.

Authors:  Neda Taghizadeh; Andrew Davidson; Katrina Williams; David Story
Journal:  Paediatr Anaesth       Date:  2015-08-06       Impact factor: 2.556

4.  Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations.

Authors:  Brian J O'Roak; Laura Vives; Santhosh Girirajan; Emre Karakoc; Niklas Krumm; Bradley P Coe; Roie Levy; Arthur Ko; Choli Lee; Joshua D Smith; Emily H Turner; Ian B Stanaway; Benjamin Vernot; Maika Malig; Carl Baker; Beau Reilly; Joshua M Akey; Elhanan Borenstein; Mark J Rieder; Deborah A Nickerson; Raphael Bernier; Jay Shendure; Evan E Eichler
Journal:  Nature       Date:  2012-04-04       Impact factor: 49.962

5.  A genome-wide scan for common alleles affecting risk for autism.

Authors:  Richard Anney; Lambertus Klei; Dalila Pinto; Regina Regan; Judith Conroy; Tiago R Magalhaes; Catarina Correia; Brett S Abrahams; Nuala Sykes; Alistair T Pagnamenta; Joana Almeida; Elena Bacchelli; Anthony J Bailey; Gillian Baird; Agatino Battaglia; Tom Berney; Nadia Bolshakova; Sven Bölte; Patrick F Bolton; Thomas Bourgeron; Sean Brennan; Jessica Brian; Andrew R Carson; Guillermo Casallo; Jillian Casey; Su H Chu; Lynne Cochrane; Christina Corsello; Emily L Crawford; Andrew Crossett; Geraldine Dawson; Maretha de Jonge; Richard Delorme; Irene Drmic; Eftichia Duketis; Frederico Duque; Annette Estes; Penny Farrar; Bridget A Fernandez; Susan E Folstein; Eric Fombonne; Christine M Freitag; John Gilbert; Christopher Gillberg; Joseph T Glessner; Jeremy Goldberg; Jonathan Green; Stephen J Guter; Hakon Hakonarson; Elizabeth A Heron; Matthew Hill; Richard Holt; Jennifer L Howe; Gillian Hughes; Vanessa Hus; Roberta Igliozzi; Cecilia Kim; Sabine M Klauck; Alexander Kolevzon; Olena Korvatska; Vlad Kustanovich; Clara M Lajonchere; Janine A Lamb; Magdalena Laskawiec; Marion Leboyer; Ann Le Couteur; Bennett L Leventhal; Anath C Lionel; Xiao-Qing Liu; Catherine Lord; Linda Lotspeich; Sabata C Lund; Elena Maestrini; William Mahoney; Carine Mantoulan; Christian R Marshall; Helen McConachie; Christopher J McDougle; Jane McGrath; William M McMahon; Nadine M Melhem; Alison Merikangas; Ohsuke Migita; Nancy J Minshew; Ghazala K Mirza; Jeff Munson; Stanley F Nelson; Carolyn Noakes; Abdul Noor; Gudrun Nygren; Guiomar Oliveira; Katerina Papanikolaou; Jeremy R Parr; Barbara Parrini; Tara Paton; Andrew Pickles; Joseph Piven; David J Posey; Annemarie Poustka; Fritz Poustka; Aparna Prasad; Jiannis Ragoussis; Katy Renshaw; Jessica Rickaby; Wendy Roberts; Kathryn Roeder; Bernadette Roge; Michael L Rutter; Laura J Bierut; John P Rice; Jeff Salt; Katherine Sansom; Daisuke Sato; Ricardo Segurado; Lili Senman; Naisha Shah; Val C Sheffield; Latha Soorya; Inês Sousa; Vera Stoppioni; Christina Strawbridge; Raffaella Tancredi; Katherine Tansey; Bhooma Thiruvahindrapduram; Ann P Thompson; Susanne Thomson; Ana Tryfon; John Tsiantis; Herman Van Engeland; John B Vincent; Fred Volkmar; Simon Wallace; Kai Wang; Zhouzhi Wang; Thomas H Wassink; Kirsty Wing; Kerstin Wittemeyer; Shawn Wood; Brian L Yaspan; Danielle Zurawiecki; Lonnie Zwaigenbaum; Catalina Betancur; Joseph D Buxbaum; Rita M Cantor; Edwin H Cook; Hilary Coon; Michael L Cuccaro; Louise Gallagher; Daniel H Geschwind; Michael Gill; Jonathan L Haines; Judith Miller; Anthony P Monaco; John I Nurnberger; Andrew D Paterson; Margaret A Pericak-Vance; Gerard D Schellenberg; Stephen W Scherer; James S Sutcliffe; Peter Szatmari; Astrid M Vicente; Veronica J Vieland; Ellen M Wijsman; Bernie Devlin; Sean Ennis; Joachim Hallmayer
Journal:  Hum Mol Genet       Date:  2010-07-27       Impact factor: 6.150

6.  The contribution of de novo coding mutations to autism spectrum disorder.

Authors:  Ivan Iossifov; Brian J O'Roak; Stephan J Sanders; Michael Ronemus; Niklas Krumm; Dan Levy; Holly A Stessman; Kali T Witherspoon; Laura Vives; Karynne E Patterson; Joshua D Smith; Bryan Paeper; Deborah A Nickerson; Jeanselle Dea; Shan Dong; Luis E Gonzalez; Jeffrey D Mandell; Shrikant M Mane; Michael T Murtha; Catherine A Sullivan; Michael F Walker; Zainulabedin Waqar; Liping Wei; A Jeremy Willsey; Boris Yamrom; Yoon-ha Lee; Ewa Grabowska; Ertugrul Dalkic; Zihua Wang; Steven Marks; Peter Andrews; Anthony Leotta; Jude Kendall; Inessa Hakker; Julie Rosenbaum; Beicong Ma; Linda Rodgers; Jennifer Troge; Giuseppe Narzisi; Seungtai Yoon; Michael C Schatz; Kenny Ye; W Richard McCombie; Jay Shendure; Evan E Eichler; Matthew W State; Michael Wigler
Journal:  Nature       Date:  2014-10-29       Impact factor: 69.504

7.  A model for the induction of autism in the ecosystem of the human body: the anatomy of a modern pandemic?

Authors:  Staci D Bilbo; Cynthia D Nevison; William Parker
Journal:  Microb Ecol Health Dis       Date:  2015-01-28

8.  Synaptic, transcriptional and chromatin genes disrupted in autism.

Authors:  Silvia De Rubeis; Xin He; Arthur P Goldberg; Christopher S Poultney; Kaitlin Samocha; A Erucment Cicek; Yan Kou; Li Liu; Menachem Fromer; Susan Walker; Tarinder Singh; Lambertus Klei; Jack Kosmicki; Fu Shih-Chen; Branko Aleksic; Monica Biscaldi; Patrick F Bolton; Jessica M Brownfeld; Jinlu Cai; Nicholas G Campbell; Angel Carracedo; Maria H Chahrour; Andreas G Chiocchetti; Hilary Coon; Emily L Crawford; Sarah R Curran; Geraldine Dawson; Eftichia Duketis; Bridget A Fernandez; Louise Gallagher; Evan Geller; Stephen J Guter; R Sean Hill; Juliana Ionita-Laza; Patricia Jimenz Gonzalez; Helena Kilpinen; Sabine M Klauck; Alexander Kolevzon; Irene Lee; Irene Lei; Jing Lei; Terho Lehtimäki; Chiao-Feng Lin; Avi Ma'ayan; Christian R Marshall; Alison L McInnes; Benjamin Neale; Michael J Owen; Noriio Ozaki; Mara Parellada; Jeremy R Parr; Shaun Purcell; Kaija Puura; Deepthi Rajagopalan; Karola Rehnström; Abraham Reichenberg; Aniko Sabo; Michael Sachse; Stephan J Sanders; Chad Schafer; Martin Schulte-Rüther; David Skuse; Christine Stevens; Peter Szatmari; Kristiina Tammimies; Otto Valladares; Annette Voran; Wang Li-San; Lauren A Weiss; A Jeremy Willsey; Timothy W Yu; Ryan K C Yuen; Edwin H Cook; Christine M Freitag; Michael Gill; Christina M Hultman; Thomas Lehner; Aaarno Palotie; Gerard D Schellenberg; Pamela Sklar; Matthew W State; James S Sutcliffe; Christiopher A Walsh; Stephen W Scherer; Michael E Zwick; Jeffrey C Barett; David J Cutler; Kathryn Roeder; Bernie Devlin; Mark J Daly; Joseph D Buxbaum
Journal:  Nature       Date:  2014-10-29       Impact factor: 49.962

9.  Most genetic risk for autism resides with common variation.

Authors:  Trent Gaugler; Lambertus Klei; Stephan J Sanders; Corneliu A Bodea; Arthur P Goldberg; Ann B Lee; Milind Mahajan; Dina Manaa; Yudi Pawitan; Jennifer Reichert; Stephan Ripke; Sven Sandin; Pamela Sklar; Oscar Svantesson; Abraham Reichenberg; Christina M Hultman; Bernie Devlin; Kathryn Roeder; Joseph D Buxbaum
Journal:  Nat Genet       Date:  2014-07-20       Impact factor: 38.330

10.  The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.

Authors:  A Di Martino; C-G Yan; Q Li; E Denio; F X Castellanos; K Alaerts; J S Anderson; M Assaf; S Y Bookheimer; M Dapretto; B Deen; S Delmonte; I Dinstein; B Ertl-Wagner; D A Fair; L Gallagher; D P Kennedy; C L Keown; C Keysers; J E Lainhart; C Lord; B Luna; V Menon; N J Minshew; C S Monk; S Mueller; R-A Müller; M B Nebel; J T Nigg; K O'Hearn; K A Pelphrey; S J Peltier; J D Rudie; S Sunaert; M Thioux; J M Tyszka; L Q Uddin; J S Verhoeven; N Wenderoth; J L Wiggins; S H Mostofsky; M P Milham
Journal:  Mol Psychiatry       Date:  2013-06-18       Impact factor: 15.992

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