Evidence map›Paper›PMID 40598450›Full record

ReviewHereditas2025

Trends and hotspots in autoimmune hepatitis research: based on bibliometric analysis.

Ruisi Li, Yue Xu, XiaoYing Xu, YiHeng Xu, Haitang Huang, Xiaojuan Lv, Chu Liao, Junqiu Ye, Bo Liu, Hengfei Li

Abstract readReview
In one paragraph

Review in Hereditas, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Ruisi LiHubei University of Chinese Medicine, Hubei Province, Wuhan, 430065, China.
Yue XuHubei University of Chinese Medicine, Hubei Province, Wuhan, 430065, China.
XiaoYing XuHubei University of Chinese Medicine, Hubei Province, Wuhan, 430065, China.
YiHeng XuHubei University of Chinese Medicine, Hubei Province, Wuhan, 430065, China.
Haitang HuangDepartment of Hepatology, Hubei Key Laboratory of the Theory and Application Research of Liver and Kidney in Traditional Chinese Medicine, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, Hubei Province, 430061, China.
Xiaojuan LvDepartment of Hepatology, Hubei Key Laboratory of the Theory and Application Research of Liver and Kidney in Traditional Chinese Medicine, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, Hubei Province, 430061, China.
Chu LiaoDepartment of Hepatology, Hubei Key Laboratory of the Theory and Application Research of Liver and Kidney in Traditional Chinese Medicine, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, Hubei Province, 430061, China.
Junqiu YeDepartment of Hepatology, Hubei Key Laboratory of the Theory and Application Research of Liver and Kidney in Traditional Chinese Medicine, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, Hubei Province, 430061, China.
Bo LiuAffiliated Hospital of Hubei University of Chinese Medicine, Wuhan, Hubei Province, 430061, China.
Hengfei LiHubei University of Chinese Medicine, Hubei Province, Wuhan, 430065, China. 26877767@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutoimmune 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.

objectiveIn this study, we used bibliometric analysis to comprehensively analyze the literature on Autoimmune Hepatitis (AIH) published during the past two decades.

methodsLiterature 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.

resultsThe 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.

conclusionIn 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.

Indexed as

BibliometricsBiomedical ResearchHepatitis, AutoimmuneHumansAutoimmune HepatitisBibliometricsKnowledge Map

Identifiers

PMID40598450
PMCPMC12211198

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.