| Literature DB >> 35865166 |
Liting Zhao1,2,3,4, Jinfei Li1,2, Lemeng Feng1,3,4, Cheng Zhang1,3,4, Wulong Zhang1,3,4, Chao Wang1,3,4, Ye He1,3,4, Dan Wen1,3,4, Weitao Song1,3,4.
Abstract
Objective: The prevalence of glaucoma is rising due to an increasing aging population. Because of its insidious and irreversible nature, glaucoma has gradually become the focus of attention. We assessed primary open angle glaucoma, the most common type of glaucoma, to study its present status, global trend, and state of clinical research.Entities:
Keywords: VOSviewer; bibliometrics analysis; citespace; intraocular pressure; primary open angle glaucoma
Year: 2022 PMID: 35865166 PMCID: PMC9294470 DOI: 10.3389/fmed.2022.922527
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Figure 1The methods of bibliometric analysis and the trends of POAG. (A) A flowchart representing retrieval strategies for POAG articles from the WOS SCI-Expanded database and the inclusion criteria for the study; (B) The whole flow chart of bibliometric analysis for POAG in this study; (C) Trends in the growth of publications and the number of cited articles worldwide from 2000 to 2021; (D) The distribution world map of POAG.
The top 10 authors in the study of POAG.
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| 1 | Weinreb RN | USA | University of California San Diego | 127 | 280 |
| 2 | Aung T | SINGAPORE | Singapore National Eye Center | 127 | 258 |
| 3 | Pasquale LR | USA | Icahn School of Medicine at Mount Sinai | 104 | 122 |
| 4 | Wiggs JL | USA | Harvard Medical School | 95 | 139 |
| 5 | Mackey DA | Australia | University of Western Australia | 75 | 173 |
| 6 | Ritch R | USA | New York Eye & Ear Infirmary of Mount Sinai | 73 | 65 |
| 7 | Allingham RR | USA | Duke University | 70 | 111 |
| 8 | Craig JE | Australia | Flinders University South Australia | 70 | 192 |
| 9 | Park KH | Korea | Seoul National University College of Medicine | 69 | 155 |
| 10 | Wang NL | China | Capital Medical University | 64 | 64 |
TLS, Total link strength.
The top 10 funding institutions and output institutions in the study of POAG.
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| 1 | United States Department of Health Human Services | USA | 939 | University of California System | USA | 324 | 486 |
| 2 | National Institutes of Health NIH USA | USA | 925 | University of London | UK | 267 | 359 |
| 3 | Nih National Eye Institute Nei | USA | 782 | University College London | UK | 223 | 347 |
| 4 | Research to Prevent Blindness Rpb | USA | 367 | Harvard University | USA | 212 | 317 |
| 5 | National Natural Science Foundation of China Nsfc | China | 248 | League of European Research Universities Leru | Europe | 206 | 528 |
| 6 | Ministry of Education Culture Sports Science and Technology Japan Mext | Japan | 153 | National University of Singapore | Singapore | 202 | 523 |
| 7 | European Commission | Europe | 125 | Singapore National Eye Center | Singapore | 194 | 550 |
| 8 | Pfizer | USA | 115 | Duke University | USA | 191 | 542 |
| 9 | Abbvie | USA | 107 | Moorfields Eye Hospital Nhs Foundation Trust | Germany | 183 | 116 |
| 10 | Allergan | USA | 103 | Massachusetts Eye Ear Infirmary | USA | 168 | 110 |
TLS, Total link strength.
Figure 2Cooperation map of countries in the studies of POAG. (A) Mapping of the co-authorship analysis amongst 69 identified countries. Each node represents an individual country, and the node size is proportional to the number of publications. Line thickness between nodes indicates link strength of a collaboration relationship (weighted by a quantitative evaluation indicator of TLS). (B) Country overlay. The color of each node represents the average year of POAG publications in a country. Blue represents the earlier published countries, while yellow represents the recently published countries.
Figure 3Cooperation map of authors in the studies of POAG. (A) Author network; (B) Author overlay. Explanatory figure legend is the same as for Figure 2.
Figure 4Cooperation map of output institution in the studies of POAG. (A) Institution network; (B) Institution overlay. Explanatory figure legend is the same as that of Figure 2.
The top 10 journals and research areas in the study of POAG.
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| 1 | Journal of glaucoma | USA | 644 | 2.503 | Ophthalmology | 4601 |
| 2 | Investigative ophthalmology visual science | USA | 483 | 4.799 | Biochemistry molecular biology | 399 |
| 3 | Ophthalmology | Netherlands | 281 | 12.079 | General internal medicine | 364 |
| 4 | American journal of ophthalmology | Netherlands | 237 | 5.258 | Science technology other topics | 331 |
| 5 | British journal of ophthalmology | UK | 227 | 4.638 | Pharmacology pharmacy | 290 |
| 6 | Molecular vision | USA | 205 | 2.367 | Research experimental medicine | 265 |
| 7 | Plos one | USA | 201 | 3.240 | Genetics heredity | 238 |
| 8 | Graefes archive for clinical and experimental ophthalmology | Germany | 178 | 3.117 | Neurosciences neurology | 131 |
| 9 | European journal of ophthalmology | Italy | 168 | 2.597 | Surgery | 83 |
| 10 | Eye | UK | 155 | 3.775 | Cell biology | 79 |
IF, Impact factor.
The top five countries with the largest citation and highest H-index.
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| 1 | USA (81339) | Iceland (51.27) | USA (116) |
| 2 | UK (20577) | Singapore (40.62) | Germany (66) |
| 3 | Germany (16392) | Portugal (36.78) | UK (64) |
| 4 | China (13397) | USA (35.19) | China (54) |
| 5 | Japan (13064) | France (34.35) | Italy (53) |
The top 10 most cited publications in the study of POAG.
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| 1 | The ocular hypertension treatment study - a randomized trial determines that topical ocular hypotensive medication delays or prevents the onset of primary open-angle glaucoma | 2,458 | Kass MA, HeuerDK, Higginbotham EJ et al. | Archives of ophthalmology | Jun 2002 |
| 2 | Global prevalence of glaucoma and projections of glaucoma burden through 2040 a systematic review and meta-analysis | 2,325 | Tham YC, Li X, Wong TY et al. | Ophthalmology | Nov 2014 |
| 3 | The Ocular Hypertension Treatment Study - Baseline factors that predict the onset of primary open-angle glaucoma | 1,791 | Gordon MO, Beiser JA, Brandt JD et al. | Archives of ophthalmology | Jun 2002 |
| 4 | The pathophysiology and treatment of glaucoma a review | 1,404 | Weinreb Robert N, Aung T, Medeiros FA et al. | Jama-journal of the american medical association | May 2014 |
| 5 | Development of the 25-item national eye institute visual function questionnaire | 1,371 | Mangione CM, Lee PP, Gutierrez PR et al. | Archives of ophthalmology | Jul 2001 |
| 6 | The ubiquitin kinase PINK1 recruits autophagy receptors to induce mitophagy | 1,292 | Lazarou M, Sliter DA, Kane LA et al. | Nature | Aug 2015 |
| 7 | Primary open-angle glaucoma | 1,238 | Weinreb RN, Khaw PT | Lancet | May 2004 |
| 8 | The impact of ocular blood flow in glaucoma | 1,127 | Flammer J, Orgul S, Costa VP et al. | Progress in retinal and eye research | JUL 2002 |
| 9 | Mutations of optineurin in amyotrophic lateral sclerosis | 861 | Maruyama H, Morino H, Ito H et al. | Nature | May 2010 |
| 10 | Adult-onset primary open-angle glaucoma caused by mutations in optineurin | 788 | Rezaie T, Child A, Hitchings R et al. | Science | Feb 2002 |
TC, Total citation.
Figure 5Co-occurrence analysis on POAG research. (A) Network visualization map of keyword co-occurrence analysis using VOS viewer. All keywords are labeled. The size of the node reflects the occurrence frequency of a certain keyword. The larger the size of the node is, the more frequently the keyword co-occurs. VOS viewer marks keywords with different colors, and the color of the nodes and labels indicates the cluster in which they belong to. Closely related keywords are grouped into one cluster with the same color. The higher the quantity of co-occurrences of two keywords, the closer will they be located in the network; (B) Overlay visualization map of keyword co-occurrence analysis. The meanings of the node and label in this map are the same as in Table 6. However, the color of each node in this map indicates the average year of the keyword in the article according to the color gradient in the lower right.
The top keywords with the strongest citation bursts.
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| Localization | 22.46 | 2000 | 2009 |
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| Timolol | 21.28 | 2000 | 2006 |
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| Region | 15.61 | 2000 | 2009 |
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| 14.44 | 2000 | 2004 |
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| Baltimore eye survey | 13.36 | 2000 | 2006 |
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| Mutation | 12.36 | 2000 | 2007 |
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| Prostaglandin analogs | 10.83 | 2000 | 2006 |
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| Locus | 17.81 | 2002 | 2010 |
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| Elevated intraocular pressure | 16.19 | 2002 | 2012 |
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| Fixed combination | 12.72 | 2005 | 2010 |
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| Genome wide scan | 10.75 | 2005 | 2011 |
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| Filtering surgery | 11.33 | 2006 | 2011 |
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| Optical coherence tomography | 20.9 | 2016 | 2018 |
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| Vessel density | 14.89 | 2017 | 2021 |
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| Coherence tomography angiography | 14.99 | 2018 | 2021 |
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Figure 6Evolutionary pathway in the study of POAG: The position of each node represents when it first appeared, and the lines between nodes represent relationships between keywords. The node colors represent different years, from cold to warm means period from 2000 to 2021. Bluish purple indicates the previous keyword, and red indicates the latest keyword. Longer colored segments indicate a larger reference time span. The flow of knowledge between clusters from cool to warm colors can also be observed over time.