Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Bibliometric Analysis on Genetic Factors of Osteoarthritis Pathogenesis: Characteristics and Trends from 2014 to 2023

Yangguang Lu
* ORCID logo ,
Feitian Ni
,
Yiran Bu
,
Jialing Lou
,
Bohuai Yu
,
Hongzhi Zhang
,
Haoyang Li
,
Yige Zhang
,
Hantao Hu
,
Di Lu
*
Version 1 : Received: 16 December 2023 / Approved: 18 December 2023 / Online: 18 December 2023 (13:42:11 CET)

How to cite: Lu, Y.; Ni, F.; Bu, Y.; Lou, J.; Yu, B.; Zhang, H.; Li, H.; Zhang, Y.; Hu, H.; Lu, D. Bibliometric Analysis on Genetic Factors of Osteoarthritis Pathogenesis: Characteristics and Trends from 2014 to 2023. Preprints 2023, 2023121346. https://doi.org/10.20944/preprints202312.1346.v1 Lu, Y.; Ni, F.; Bu, Y.; Lou, J.; Yu, B.; Zhang, H.; Li, H.; Zhang, Y.; Hu, H.; Lu, D. Bibliometric Analysis on Genetic Factors of Osteoarthritis Pathogenesis: Characteristics and Trends from 2014 to 2023. Preprints 2023, 2023121346. https://doi.org/10.20944/preprints202312.1346.v1

Abstract

Background: Genetic factors are considered important risk factors for the occurrence of osteoarthritis (OA), which has received extensive attention. This study examined the research on the relationship between genetic factors and the pathogenesis of OA from a bibliometric perspective. Methods: We searched Web of Science Core Collection for original and review articles on genetic factors and OA. We used R package “bibliometrix” to perform statistical and visualization analysis of countries, institutions, authors, journals, and keywords. Results: A total of 1,127 articles met the inclusion criteria, with an average citation of 20.41 per article. From 2012 to 2022, the average annual growth rate of research in this field was 7.83%. The corresponding authors of the published articles were mainly from China, the USA, and the UK. Boston University emerged as the most active and important institution, while the Osteoarthritis and Cartilage published the most articles in this field. The keywords “polymorphism”, “genetic” and “mendelian randomization” indicate the future research directions. Conclusion: This bibliometric study provides an overview of the key topics and trends in genetic factors and OA pathogenesis research. The high-frequency keywords suggest the current and potential future focus of this field, involving methods, mechanisms, and populations.

Keywords

bibliometrics; genetic factors; Osteoarthritis

Subject

Medicine and Pharmacology, Orthopedics and Sports Medicine

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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