| Literature DB >> 31205825 |
Ting Hong1, Xinzhe Feng2, Wenwen Tong2, Weidong Xu2.
Abstract
BACKGROUND: Autophagy is an important mechanism to maintain homeostasis in cells. It has been linked with ageing and many currently incurable diseases, including heart disease, cancer, myopathies, neurodegeneration, and diabetes. Autophagy research is very important for identifying better treatments. This study aimed to explore the hotspots of autophagy research published from different countries, organizations, and authors.Entities:
Keywords: Autophagy; Bibliometric; Citation; H-index; VOS viewer
Year: 2019 PMID: 31205825 PMCID: PMC6556104 DOI: 10.7717/peerj.7103
Source DB: PubMed Journal: PeerJ ISSN: 2167-8359 Impact factor: 2.984
Figure 1Flow diagram of identification of autophagy studies.
Figure 2Trend of changes in number of publications worldwide.
(A) The trend of changes from 1966 to 2018. (B) The trend of changes from 2003 to 2018.
Figure 3Contributing characteristics of autophagy research.
(A) Sum of autophagy research-related article fractions (% of research from all regions) from the top 10 countries or regions. (B) The number and proportion of articles and reviews on autophagy globally. (C) Number of publications from the top three countries and the research interests.
Top 10 journals that published articles on autophagy research.
| Rank | Journal title | Country | Count | Percent | IF 2017 |
|---|---|---|---|---|---|
| 1 | USA | 1,388 | 7.379 | 11.100 | |
| 2 | USA | 585 | 3.110 | 2.766 | |
| 3 | USA | 392 | 2.084 | ||
| 4 | USA | 390 | 2.073 | 4.01 | |
| 5 | USA | 385 | 2.047 | 2.559 | |
| 6 | UK | 372 | 1.978 | 4.122 | |
| 7 | UK | 344 | 1.829 | 5.638 | |
| 8 | Greece | 214 | 1.138 | 1.922 | |
| 9 | USA | 169 | 0.898 | 9.504 | |
| 10 | UK | 165 | 0.877 | 8.0 |
Top 10 authors with the most publications related to autophagy research.
| Author | Number of papers | Country | Affiliations |
|---|---|---|---|
| Klionsky Daniel J | 171 | USA | University of Michigan |
| Mizushima Noboru | 140 | Japan | The University of Tokyo |
| Ohsumi Yoshinori | 133 | Japan | Tokyo Institute of Technology |
| Yoshimori Tamotsu | 120 | Japan | Osaka University |
| Cuervo Ana Maria | 116 | USA | Albert Einstein College of Medicine |
| Levine Beth | 111 | USA | University of Texas Southwestern Medical Center |
| Kroemer Guido | 108 | France | Institut National de la Sante et de la Recherche Medicale (Inserm) |
| Codogno Patrice | 102 | France | Institut National de la Sante et de la Recherche Medicale (Inserm) |
| Rubinsztein David C | 102 | UK | University of Cambridge |
| Komatsu Masaaki | 98 | Japan | Juntendo University |
Figure 4Citation and H-index analysis of the top 10 countries or regions.
Top 10 studies with the most citation frequency related to autophagy research.
| Title | First author | Journal (IF2017) | Year | Citation frequency | Main conclusion |
|---|---|---|---|---|---|
| LC3, a mammalian homologue of yeast Apg8p, is localized in autophagosome membranes after processing | Kabeya, Yukiko | 2000 | 4,118 | The authors demonstrate that the rat microtubule-associated protein 1 light chain 3 (LC3), a homologue of Apg8p essential for autophagy in yeast, is associated with the autophagosome membranes after processing. | |
| Autophagy in the pathogenesis of disease | Levine, Beth | 2008 | 3,672 | This review summarizes recent advances in understanding the physiological functions of autophagy and its possible roles in the causation and prevention of human diseases. | |
| Autophagy fights disease through cellular self-digestion | Mizushima, Noboru | 2008 | 3,549 | This review describes the main mechanisms of autophagy and its role in disease. | |
| Development by self-digestion: Molecular mechanisms and biological functions of autophagy | Mizushima, Noboru | 2004 | 2,460 | In this review, the authors focus on macroautophagy, an evolutionarily served process that occurs in virtually all eukaryotic cells, ranging from yeast to mammals. | |
| Methods in Mammalian Autophagy Research | Mizushima, Noboru | 2010 | 2,287 | In this Primer, the authors discuss methods to monitor autophagy and to modulate autophagic activity, with a primary focus on mammalian macroautophagy. | |
| Autophagy as a regulated pathway of cellular degradation | Klionsky, Daniel J | 2000 | 2,230 | This review limits the discussion to macroautophagy, the major inducible pathway for general turnover of cytoplasmic components. | |
| Suppression of basal autophagy in neural cells causes neurodegenerative disease in mice | Hara, Taichi | 2006 | 2,220 | In this article, the authors report that loss of autophagy causes neurodegeneration even in the absence of any diseaseassociated mutant proteins. | |
| AMPK and mTOR regulate autophagy through direct phosphorylation of Ulk1 | Kim, Joungmok | 2011 | 2,212 | This article reveals a signalling mechanism for Ulk1 regulation and autophagy induction in response to nutrient signalling. | |
| Guidelines for the use and interpretation of assays for monitoring autophagy | Klionsky, Daniel J | 2012 | 2,177 | A set of guidelines are presented for the selection and interpretation of methods for use by investigators, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. | |
| Bcl-2 antiapoptotic proteins inhibit Beclin 1-dependent autophagy | Pattingre, Sophie | 2005 | 2,161 | This article shows that wild-type Bcl-2 antiapoptotic proteins, but not Beclin 1 binding defective mutants of Bcl-2, inhibit Beclin 1-dependent autophagy in yeast and mammalian cells and that cardiac Bcl-2 transgenic expression inhibits autophagy in mouse heart muscle. |
Figure 5The analysis of keywords.
(A) Mapping on keywords of autophagy. The keywords were divided into three clusters according to different colours generated by default: Treatment-related study (right in red), Cell-related study (left in green), Disease-related study (up in blue). A large circle indicates that the keyword appears at a high frequency. (B) Distribution of keywords according to when they appeared for the average number of times. Keywords in blue are presented earlier than those in yellow or red. Two terms are defined to co-occur if they both occur on the same line in the corpus file. In general, the smaller the distance between two terms, the larger the number of co-occurrences of the terms. (C) Mapping on keywords of autophagy. The words in central red area were used most frequently.