• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

风湿病学三十年合作:全面的共同作者网络分析(1994 - 2023年)

Three decades of collaboration in rheumatology: a comprehensive co-authorship network analysis (1994-2023).

作者信息

Ogasawara Naruaki

机构信息

The Japanese Society of Internal Medicine, Japan.

出版信息

Reumatologia. 2025 Apr 30;63(2):68-80. doi: 10.5114/reum/200529. eCollection 2025.

DOI:10.5114/reum/200529
PMID:40485949
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12138997/
Abstract

INTRODUCTION

This study investigated the evolution of collaborative research in rheumatology over 3 decades (1994-2023), utilizing co-authorship network analysis to uncover key contributors, structural trends, and global collaboration patterns. The analysis aimed to provide insights into the dynamics of research cooperation and the factors influencing its development.

MATERIAL AND METHODS

A total of 31,231 publications on rheumatology, indexed in the Web of Science (WoS) Core Collection, were analyzed. The co-authorship network was constructed using Python (Version 3.10.5) in the PyCharm environment (Version 2022.1.3). Macro-level metrics, including network density, clustering coefficient, components, and average path length, were evaluated alongside micro-level indicators such as degree centrality, closeness centrality, and betweenness centrality to characterize the network's structure and dynamics. Additionally, temporal trends were examined to assess changes in collaboration patterns over time.

RESULTS

The analysis revealed an expansion in publication volume and collaboration over the 3 decades, with persistent fragmentation evidenced by low network density (below 0.0005) and numerous disconnected components. The number of active researchers and institutions participating in collaborations increased significantly, contributing to enhanced regional cooperation. Key researchers, including Nicolino Ruperto, Josef S. Smolen, and Yoshiya Tanaka, emerged as central figures, consistently facilitating knowledge exchange and collaboration. Localized, tight-knit collaboration patterns, indicated by high clustering coefficients, persisted despite limited global integration. These findings suggest that while rheumatology research networks are becoming more inclusive, significant disparities in connectivity across regions remain.

CONCLUSIONS

This comprehensive analysis highlights the dual trends of growth and fragmentation in rheumatology research collaboration. While local collaborations thrive, broader integration remains a challenge, underscoring the need for initiatives fostering global connectivity in the research community. Enhancing international collaboration and reducing resource gaps between regions could accelerate advancements in rheumatology research, benefiting both the scientific community and patients worldwide.

摘要

引言

本研究调查了30年(1994 - 2023年)间风湿病领域合作研究的演变情况,利用共同作者网络分析来揭示关键贡献者、结构趋势和全球合作模式。该分析旨在深入了解研究合作的动态以及影响其发展的因素。

材料与方法

对Web of Science(WoS)核心合集中索引的31231篇风湿病相关出版物进行了分析。在PyCharm环境(版本2022.1.3)中使用Python(版本3.10.5)构建共同作者网络。评估了宏观层面的指标,包括网络密度、聚类系数、组件和平均路径长度,以及微观层面的指标,如度中心性、接近中心性和中介中心性,以描述网络的结构和动态。此外,还研究了时间趋势,以评估合作模式随时间的变化。

结果

分析显示,在这30年中出版物数量和合作有所增加,但网络密度较低(低于0.0005)且存在众多不相连的组件,表明持续存在分散现象。参与合作的活跃研究人员和机构数量显著增加,促进了区域合作的加强。包括尼科利诺·鲁佩托、约瑟夫·S·斯莫伦和田中义也在内的关键研究人员成为核心人物,持续推动知识交流与合作。尽管全球整合有限,但高聚类系数表明局部紧密的合作模式依然存在。这些发现表明,虽然风湿病研究网络变得更具包容性,但各地区之间在连通性方面仍存在显著差异。

结论

这项全面分析突出了风湿病研究合作中增长与分散并存的双重趋势。虽然局部合作蓬勃发展,但更广泛的整合仍然是一项挑战,这凸显了在研究界促进全球连通性的举措的必要性。加强国际合作并缩小地区间的资源差距可以加速风湿病研究的进展,使科学界和全球患者都受益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d74/12138997/927c8332a32f/RU-63-200529-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d74/12138997/9f71b7ced30a/RU-63-200529-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d74/12138997/ba6139e58ffd/RU-63-200529-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d74/12138997/8ab3d9af8263/RU-63-200529-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d74/12138997/660fd7ce50b9/RU-63-200529-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d74/12138997/927c8332a32f/RU-63-200529-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d74/12138997/9f71b7ced30a/RU-63-200529-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d74/12138997/ba6139e58ffd/RU-63-200529-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d74/12138997/8ab3d9af8263/RU-63-200529-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d74/12138997/660fd7ce50b9/RU-63-200529-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d74/12138997/927c8332a32f/RU-63-200529-g005.jpg

相似文献

1
Three decades of collaboration in rheumatology: a comprehensive co-authorship network analysis (1994-2023).风湿病学三十年合作:全面的共同作者网络分析(1994 - 2023年)
Reumatologia. 2025 Apr 30;63(2):68-80. doi: 10.5114/reum/200529. eCollection 2025.
2
A GLOBAL VIEW OF HEPATOLOGY COLLABORATION: INSIGHTS AND FUTURE DIRECTIONS FROM 30 YEARS OF NETWORK ANALYSIS (1994-2023).
Arq Gastroenterol. 2024 Dec 20;61:e24103. doi: 10.1590/S0004-2803.24612024-103. eCollection 2024.
3
COLLABORATIVE NETWORKS IN GASTROENTEROLOGY RESEARCH: A CO-AUTHORSHIP NETWORK ANALYSIS (2000-2023).胃肠病学研究中的合作网络:一项共同作者网络分析(2000 - 2023年)
Arq Gastroenterol. 2024 Dec 20;61:e24083. doi: 10.1590/S0004-2803.24612024-083. eCollection 2024.
4
Evolution of Cooperation Patterns in Psoriasis Research: Co-Authorship Network Analysis of Papers in Medline (1942-2013).银屑病研究中合作模式的演变:Medline数据库(1942 - 2013年)论文的共同作者网络分析
PLoS One. 2015 Dec 11;10(12):e0144837. doi: 10.1371/journal.pone.0144837. eCollection 2015.
5
Co-authorship network analysis in cardiovascular research utilizing machine learning (2009-2019).基于机器学习的心血管研究合著网络分析(2009-2019 年)。
Int J Med Inform. 2020 Nov;143:104274. doi: 10.1016/j.ijmedinf.2020.104274. Epub 2020 Sep 19.
6
Network effects on scientific collaborations.网络效应对科学合作的影响。
PLoS One. 2013;8(2):e57546. doi: 10.1371/journal.pone.0057546. Epub 2013 Feb 28.
7
Co-authorship network analysis of Iranian researchers on osteoporosis.伊朗骨质疏松症研究人员合著网络分析。
Arch Osteoporos. 2021 Apr 20;16(1):74. doi: 10.1007/s11657-021-00914-9.
8
Study of co-authorship network of papers in the Journal of Research in Medical Sciences using social network analysis.利用社会网络分析研究《医学科学研究杂志》论文的共同作者网络。
J Res Med Sci. 2014 Jan;19(1):41-6.
9
The published role of artificial intelligence in drug discovery and development: a bibliometric and social network analysis from 1990 to 2023.人工智能在药物发现与开发中的已发表作用:1990年至2023年的文献计量学与社会网络分析
J Cheminform. 2025 May 8;17(1):71. doi: 10.1186/s13321-025-00988-4.
10
Collaboration on evidence synthesis in Africa: a network study of growing research capacity.非洲证据综合合作:研究能力不断增强的网络研究。
Health Res Policy Syst. 2021 Sep 19;19(1):126. doi: 10.1186/s12961-021-00774-2.

本文引用的文献

1
Rheumatic Diseases: New Progress in Clinical Research and Pathogenesis.风湿性疾病:临床研究与发病机制的新进展。
Medicina (Kaunas). 2023 Aug 31;59(9):1581. doi: 10.3390/medicina59091581.
2
Internal Medicine Year in Review 2022.内科医学年度回顾 2022.
Intern Med. 2023 Dec 1;62(23):3431-3435. doi: 10.2169/internalmedicine.2266-23. Epub 2023 Jun 7.
3
Identifying access barriers faced by rural and dispersed communities to better address their needs: implications and lessons learned for rural proofing for health in the Americas and beyond.
识别农村和分散社区在获得服务方面面临的障碍,以便更好地满足其需求:对农村卫生规划在美洲及其他地区的意义和经验教训。
Rural Remote Health. 2023 Mar;23(1):7822. doi: 10.22605/RRH7822. Epub 2023 Mar 7.
4
The outlook of rheumatological care in Africa: Current state, challenges, and recommendation.非洲风湿病护理的前景:现状、挑战及建议。
Ann Med Surg (Lond). 2022 Sep 21;82:104689. doi: 10.1016/j.amsu.2022.104689. eCollection 2022 Oct.
5
Artificial Intelligence in Rheumatoid Arthritis: Current Status and Future Perspectives: A State-of-the-Art Review.类风湿关节炎中的人工智能:现状与未来展望:一篇最新综述
Rheumatol Ther. 2022 Oct;9(5):1249-1304. doi: 10.1007/s40744-022-00475-4. Epub 2022 Jul 18.
6
Implications of a diagnosis of rheumatoid arthritis in resource-poor countries.资源匮乏国家类风湿性关节炎诊断的意义。
Best Pract Res Clin Rheumatol. 2022 Mar;36(1):101725. doi: 10.1016/j.berh.2021.101725. Epub 2021 Dec 11.
7
Rheumatoid arthritis management in the APLAR region: Perspectives from an expert panel of rheumatologists, patients and community oriented program for control of rheumatic diseases.亚太地区类风湿关节炎管理:来自风湿学家、患者和面向社区的风湿性疾病控制项目的专家小组的观点。
Int J Rheum Dis. 2021 Sep;24(9):1106-1111. doi: 10.1111/1756-185X.14185. Epub 2021 Aug 10.
8
Quality of referrals to a rheumatology service before and after implementation of a triage system with telemedicine support.在实施配备远程医疗支持的分诊系统前后,向风湿病科转诊的质量。
Adv Rheumatol. 2021 Jul 20;61(1):47. doi: 10.1186/s42358-021-00203-6.
9
Biologic Drugs for Rheumatoid Arthritis in the Context of Biosimilars, Genetics, Epigenetics and COVID-19 Treatment.生物类似药背景下治疗类风湿关节炎的生物制剂、遗传学、表观遗传学与 COVID-19 治疗
Cells. 2021 Feb 4;10(2):323. doi: 10.3390/cells10020323.
10
Three decades of telemedicine in Brazil: Mapping the regulatory framework from 1990 to 2018.巴西三十年的远程医疗:1990 年至 2018 年的监管框架绘制。
PLoS One. 2020 Nov 25;15(11):e0242869. doi: 10.1371/journal.pone.0242869. eCollection 2020.