Bibliometric analysis of myopia research from 2013 to 2022 based on Web of Science

Authors: Zhong Weiqi,  Gu Zhiming,  Lan Changjun,  Liao Xuan
DOI: 10.3760/cma.j.cn115989-20230213-00053
Published 2024-07-10
Cite as Chin J Exp Ophthalmol, 2024, 42(7): 647-655.

Abstract                           【Download PDF】【Read Full Text

Objective

To analyze the current status and hotspots of myopia research in the past 10 years and the future development direction based on the bibliometric method.

Methods

Relevant original research and reviews on myopia published from January 1, 2013 to December 31, 2022 were retrieved from the Web of Science core database.Co-occurrence analysis of countries, research organizations, and authors was performed using the VOSviewer software.Cluster analysis of keywords and co-cited references was performed using the CiteSpace software.

Results

A total of 9 745 articles were included, involving 123 countries/regions, 7 150 institutions, and 29 343 authors.The analysis revealed that the global publication in myopia has been increasing, with China having the highest publication, and research from the United States being the most cited.Keyword analysis showed that the early hotspots of myopia mainly focused on refractive surgery, diagnosis and treatment of complications, genetics, and epidemiological characteristics, while recent research has rapidly shifted towards myopia prevention and control.The results of the cluster analysis of the co-cited references showed that myopia research contained several clusters, such as #0 school-aged children, #1 small incision lenticule extraction, #2 myopia control, #3 refractive error, #4 contact lenses, etc.The current research frontier focuses on myopia management technology, myopia and retinal and choroidal vessels, and the application of artificial intelligence in myopia.

Conclusions

Myopia research in the past 10 years covers a wide range of disciplines, including ophthalmology, molecular biology, genetics, optometry and epidemiology.In the future, there is a need to further explore the etiology and pathogenesis of myopia, enhance early identification and screening methods, improve management techniques for myopia, advance artificial intelligence-assisted diagnosis of myopia to develop more effective and safe strategies for myopia prevention and control.

Key words:

Myopia; Bibliometrics; Data visualization; Refractive surgery; Myopia prevention and control; Web of Science; VOSviewer; CiteSpace

Contributor Information

Zhong Weiqi

Department of Ophthalmology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China

Zhong Weiqi now works at the Department of Ophthalmology, Chengdu First People’s Hospital, Chengdu 610095, China

Gu Zhiming

Department of Ophthalmology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China

Lan Changjun

Medical School of Ophthalmology &

Optometry, North Sichuan Medical College, Nanchong 637000, China

Liao Xuan

Department of Ophthalmology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China

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