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中国药学(英文版) ›› 2024, Vol. 33 ›› Issue (11): 1058-1067.DOI: 10.5246/jcps.2024.11.076

• 【研究论文】 • 上一篇    下一篇

通过文献计量学方法分析痛风和高尿酸血症动物模型的研究现状

彭紫凝1,2,#, 邓茜2,#, 孟凡雨1,2,#, 王兴强3, 刘念2,*(), 晏蔚田3,*(), 彭江云3,*()   

  1. 1. 广州医科大学附属第一医院药学部, 广东 广州 510120
    2. 广州医科大学附属第一医院老年科, 广东 广州 510120
    3. 广州医科大学附属第一医院老年科, 广东 广州 510120
  • 收稿日期:2024-04-21 修回日期:2024-05-11 接受日期:2024-06-21 出版日期:2024-12-10 发布日期:2024-12-10
  • 通讯作者: 刘念, 晏蔚田, 彭江云

Exploring the evolution of animal models for gout and hyperuricemia: A bibliometric analysis

Zining Peng1,2,#, Qian Deng2,#, Fanyu Meng1,2,#, Xingqiang Wang3, Nian Liu2,*(), Weitian Yan3,*(), Jiangyun Peng3,*()   

  1. 1 Department of Pharmacy, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou 510120, Guandong, China
    2 Department of Geriatrics, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou 510120, Guandong, China
    3 Department of Geriatrics, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou 510120, Guandong, China
  • Received:2024-04-21 Revised:2024-05-11 Accepted:2024-06-21 Online:2024-12-10 Published:2024-12-10
  • Contact: Nian Liu, Weitian Yan, Jiangyun Peng
  • About author:

    # Zining Peng, Qian Deng and Fanyu Meng contributed equally to this work.

  • Supported by:
    The National Natural Science Foundation of China (Grant No. 82160901), Special Project for Social Development under the Key Research and Development Plan of the Yunnan Provincial Science and Technology Department (Grant No. 202403AC100019) and supported by Yunnan Key Laboratory of Dai and Yi Medicines (Yunnan University of Chinese Medicine) (Grant No. 2024SS24032).

摘要:

本研究旨在通过文献计量学方法分析痛风和高尿酸血症 (Hyperuricemia, HUA)动物模型的研究现状和趋势。检索Web of Science (WOS)数据库中关于痛风和高尿酸血症动物模型的相关文献, 采用Citespace和VOSviewer分析软件, 系统分析年度发表趋势、发文国家、机构和作者。分析显示, 该领域的发文量呈稳步增长趋势, 中国发文量最多(113篇)。此外, 刘振是该研究领域最有影响力的作者, 南京大学是该研究领域最有影响力的机构。关键词分析不仅强调当前的研究热点, 而且强调研究格局的演变模式和新兴热点, 目前的研究重点是了解痛风和HUA的发病机制, 探索新的治疗模式。本研究有助于了解痛风和HUA动物模型的研究趋势和热点, 使研究者能够及时了解该领域的最新进展。

关键词: 动物模型, 痛风, 高尿酸血症, 文献计量分析

Abstract:

This study aimed to systematically analyze the research status and trends in animal models for gout and hyperuricemia (HUA) through a bibliometric approach. We retrieved relevant literature on animal models of gout and HUA from the Web of Science (WOS) database. Utilizing analysis software such as Citespace and VOSviewer, we conducted a comprehensive examination of annual publication trends, contributing countries, institutions, and authors. Our analysis revealed a steady increase in the number of publications in this field. China emerged as the leading country, with 113 publications. Zhen Liu was identified as the most influential author, while Nanjing University stood out as the most influential institution. Keyword analysis elucidated current focal points, uncovering evolving patterns and emerging hotspots within the research landscape. Current research predominantly centered on understanding the pathogenesis and exploring new treatment modalities for gout and HUA. This study offered valuable insights into research trends and hotspots related to animal models for gout and HUA, enabling researchers to stay informed about the latest developments in this field.

Key words: Animal model, Gout, Hyperuricemia, Bibliometric analysis

Supporting: