The knowledge mapping of traditional Chinese medicine for hepatocellular carcinoma: A bibliometric study

Traditional Chinese medicine is widely used as adjuvant therapy for hepatocellular carcinoma (HCC), but no relevant bibliometric study has comprehensively analyzed the available data. To summarize the research landscape of traditional Chinese medicine (TCM) in relation to HCC over the past decade, publications on TCM and HCC from 2013 to 2023 were collected and analyzed using CiteSpace software. A total of 1,160 articles on TCM for HCC were included in the bibliometric analysis, with the most productive countries and institutions located in the Asia region. The analysis indicated that traditional Chinese medicine may enhance immunity and regulate the local tumor microenvironment through mechanisms involving DNA damage, cell cycle arrest, and apoptosis by signaling pathways. This study provides insights into the trends of traditional Chinese medicine for hepatocellular carcinoma, which may inform clinical practice and identify potential targets for further research. However, high-quality evidence-based research and rigorous mechanistic studies should be prioritized to explore new anticancer approaches.

Authors

Institutions

Publication Details

Journal
Pharmacological Research - Modern Chinese Medicine
Published
2025-02-03
DOI
https://doi.org/10.1016/j.prmcm.2025.100581
Primary Topic
Traditional Chinese Medicine Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The knowledge mapping of traditional Chinese medicine for hepatocellular carcinoma: A bibliometric study

Zexiong Chen, Boyu Jiao, Jingwen Ruan, Wenya Pei et al.
Pharmacological Research - Modern Chinese Medicine
Traditional Chinese Medicine Studies
article

The knowledge mapping of traditional Chinese medicine for hepatocellular carcinoma: A bibliometric study

Zexiong Chen, Boyu Jiao, Jingwen Ruan, Wenya Pei, Jingchun Zeng, Yancheng Fu, Baoguo Sun, Shijun Zhang, Zhen Liang
article en

Abstract

Traditional Chinese medicine is widely used as adjuvant therapy for hepatocellular carcinoma (HCC), but no relevant bibliometric study has comprehensively analyzed the available data. To summarize the research landscape of traditional Chinese medicine (TCM) in relation to HCC over the past decade, publications on TCM and HCC from 2013 to 2023 were collected and analyzed using CiteSpace software. A total of 1,160 articles on TCM for HCC were included in the bibliometric analysis, with the most productive countries and institutions located in the Asia region. The analysis indicated that traditional Chinese medicine may enhance immunity and regulate the local tumor microenvironment through mechanisms involving DNA damage, cell cycle arrest, and apoptosis by signaling pathways. This study provides insights into the trends of traditional Chinese medicine for hepatocellular carcinoma, which may inform clinical practice and identify potential targets for further research. However, high-quality evidence-based research and rigorous mechanistic studies should be prioritized to explore new anticancer approaches.

Pharmacological Research - Modern Chinese MedicineVol. 14
Sun Yat-sen University (CN), First Affiliated Hospital of Guangzhou University of Chinese Medicine (CN), The First Affiliated Hospital, Sun Yat-sen University (CN)
Guangdong Province Introduction of Innovative R&D Team, Natural Science Foundation of Guangdong Province for Distinguished Young Scholars, Science Fund for Distinguished Young Scholars of Gansu Province
Openalex Percentile: Top 97%
Traditional Chinese Medicine Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.