Ruisi Li, Yue Xu, XiaoYing Xu, YiHeng Xu, Haitang Huang, Xiaojuan Lv, Chu Liao, Junqiu Ye, Bo Liu, Hengfei Li
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引用次数: 0
Abstract
Background: Autoimmune Hepatitis (AIH) is a chronic inflammatory liver disease characterized by a sustained inflammatory response in the liver, usually associated with abnormalities in the immune system.The purpose of this study was to utilize bibliometric analysis to assess the current state of research on AIH and to predict future research areas and emerging trends.
Objective: In this study, we used bibliometric analysis to comprehensively analyze the literature on Autoimmune Hepatitis (AIH) published during the past two decades.
Methods: Literature from 2003 to 2023 was retrieved from the Web of Science Core Collection, the world's leading citation indexing database. Visualization and analysis were performed using VOSviewer 1.6.18 and CiteSpace 6.2.R3 software.
Results: The study covered 6,390 papers by 28,037 authors from 291 institutions in 110 countries. AIH research output grew significantly, peaking in 2023. The US was the top contributor, followed by China and Japan. Notable institutions included the University of London, Mayo Clinic, and King's College Hospital NHS Foundation Trust. AIH research spans medicine, healthcare, clinical sciences, molecular biology, immunology, etc. CONCLUSION: In this paper, we have used bibliometric analysis to systematically review and analyze the research literature on autoimmune hepatitis (AIH) over the past two decades. This comprehensive overview aims to provide scholars dedicated to this field with a clear research lineage and future research directions.
HereditasBiochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.80
自引率
3.70%
发文量
0
期刊介绍:
For almost a century, Hereditas has published original cutting-edge research and reviews. As the Official journal of the Mendelian Society of Lund, the journal welcomes research from across all areas of genetics and genomics. Topics of interest include human and medical genetics, animal and plant genetics, microbial genetics, agriculture and bioinformatics.