• 1. Department of Scientific Research, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, P. R. China;
  • 2. Anhui Science & Technology Evaluation and Supervision Center, Hefei 230088, P. R. China;
CHEN Yin, Email: chenyin@ustc.edu.cn
Export PDF Favorites Scan Get Citation

Objective  To analyze the hot topics and trends of medical research integrity in China and to provide references for future studies. Methods  The CNKI, WanFang Data and VIP databases were searched from inception to December 2021. Data on the number of publications, journals, institutions, authors, keywords, and emergent themes were analyzed using bibliometric methods and CiteSpace software. Results  A total of 324 studies were included. The results showed that the number of publications increased annually, and "Chinese Journal of Medical Science Research Management" and Peking University were the journal and institution with the most publications, respectively. The three most prolific authors published five studies each, and the publications were mainly concerned with identifying and preventing issues, in addition to education regarding medical research integrity. Conclusion  Medical research integrity in China has attracted significant attention. Several leading journals in this research field have emerged; however, there is no clearly dominant research team. The depth and breadth of the research remain to be improved. It is suggested that researchers focus on the effectiveness of strategies for preventing issues, promoting the establishment of the lifelong education system and improving related rules and regulations to advance the development of medical research integrity in China.

Citation: WANG Yan, WANG Xiaofang, LU Hua, CHEN Yin, YIN Dalong. Bibliometric analysis of studies on medical research integrity in China. Chinese Journal of Evidence-Based Medicine, 2022, 22(7): 829-835. doi: 10.7507/1672-2531.202202082 Copy

  • Previous Article

    Association between insomnia and hypertension: a meta-analysis
  • Next Article

    How to integrate randomized and non-randomized studies of interventions