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Research Trends and Foci in Osteoarthritis Pain from 2012 to 2022: Bibliometric and Visualization Study
- Publication Year :
- 2023
-
Abstract
- Changtai Zhao,1,* Guang Yang,2,* Bingzhou Ji,2 Hongfu Jin,2 Shinen Naranmandakh,3 Yusheng Li2,4 1Xiangya School of Medicine, Central South University, Changsha, Hunan, 410008, Peopleâs Republic of China; 2Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, Peopleâs Republic of China; 3Department of Chemistry, School of Arts and Sciences, National University of Mongolia, Ulaanbaatar, 14201, Mongolia; 4National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, Peopleâs Republic of China*These authors contributed equally to this workCorrespondence: Yusheng Li; Shinen Naranmandakh, Email liyusheng@csu.edu.cn; smandakh@num.edu.mnBackground: Osteoarthritis (OA) is a painful and complex joint disease. The unique mechanisms and potential interventions of OA-induced pain have attracted researchersâ attention in recent years. Bibliometric and visualization analysis is a comprehensive scientific method that integrates mathematical and statistical approaches to explore research priorities in a specific field. However, there are few studies on OA pain using bibliometric analysis.Purpose: This study aimed to explore research trends and hotspots in OA pain research field, offer practical guidance to researchers looking for top-notch scholars/institutions/countries, and provide suggestions for journal submissions by analyzing the existing literature.Methods: Raw data were extracted from Web of Science Core Collection. Microsoft Excel, the R package âbibliometrixâ, VOSviewer and CiteSpace software were used to analyze data and visualize relevant results.Results: A total of 2493 articles were included for further bibliometric and visualization analysis. During the investigated period, 2021 with 343 publications was the most productive year. Fillingim, Roger B. and Bennell, Kim L. with 32 articles were the most productive authors. Most pu
Details
- Database :
- OAIster
- Notes :
- text/html, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1401083064
- Document Type :
- Electronic Resource