放大和缩小骨关节炎中的程序性细胞死亡:科学计量学和可视化分析

Siyang Cao, Yihao Wei, Yaohang Yue, Ao Xiong, Hui Zeng
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引用次数: 0

摘要

:在过去十年中,越来越多的证据表明程序性细胞死亡(PCD)与骨关节炎(OA)的进展和发展有关。目前亟需对PCD与OA之间的关系进行全面的科学计量分析。本研究旨在通过科学网(Web of Science)收集2013年1月1日至2023年10月31日期间有关OA中PCD的文章和综述。研究使用了多种工具,包括VOSviewer、CiteSpace、Pajek、Scimago Graphica和R软件包,进行科学计量学和可视化分析。值得注意的是,中国、美国和韩国是论文的主要贡献者,共发表了 85% 以上的论文,对该领域的研究产生了重大影响。在不同院校中,上海交通大学、西安交通大学和浙江大学的论文产量最高。多产作者包括王伟、王静和张莉。骨关节炎与软骨》是该领域发表论文最多的期刊。与OA中的PCD相关的关键词主要集中在 "软骨细胞"、"炎症 "和 "氧化应激",它们被认为是导致OA中PCD的关键机制。本研究首次进行了全面的科学计量学分析,从广阔的视角探讨了过去十年中与 OA 相关的 PCD 知识框架和演变模式。这些见解有助于研究人员全面了解这一领域,并为未来的探索提供有价值的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Zooming in and Out of Programmed Cell Death in Osteoarthritis: A Scientometric and Visualized Analysis
: During the past decade, mounting evidence has increasingly linked programmed cell death (PCD) to the progression and development of osteoarthritis (OA). There is a significant need for a thorough scientometric analysis that recapitulates the relationship between PCD and OA. This study aimed to collect articles and reviews focusing on PCD in OA, extracting data from January 1st, 2013, to October 31st, 2023, using the Web of Science. Various tools, including VOSviewer, CiteSpace, Pajek, Scimago Graphica, and the R package, were employed for scientometric and visualization analyses. Notably, China, the USA, and South Korea emerged as major contributors, collectively responsible for more than 85% of published papers and significantly influencing research in this field. Among different institutions, Shanghai Jiao Tong University, Xi’an Jiao Tong University, and Zhejiang University exhibited the highest productivity. Prolific authors included Wang Wei, Wang Jing, and Zhang Li. Osteoarthritis and Cartilage had the most publications in this area. Keywords related to PCD in OA prominently highlighted ‘chondrocytes’, ‘inflammation’, and ‘oxidative stress’, recognized as pivotal mechanisms contributing to PCD within OA. This study presents the first comprehensive scientometric analysis, offering a broad perspective on the knowledge framework and evolving patterns concerning PCD in relation to OA over the last decade. Such insights can aid researchers in comprehensively understanding this field and provide valuable directions for future explorations.
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