Open access · Peer reviewed · No APCs
Research ArticleJournal of Scientometric ResearchVol. 14 | Issue 2 | 2026 | pp. 662–671Open access
Global Scientific in Hepatocellular Carcinoma: A Scientometric Analysis and Machine Learning
- 1,
- 2,
- 3,
- 4,
- 5,
- 6*
- 1 Traditional Medicine, School of Persian Medicine, Kerman University of Medical Sciences, Kerman, IRAN.
- 2 Department of Internal Medicine, Gastroenterology and Hepatology, School of Medicine, Gastroenterology and Hepatology Research Center, Afzalipour Hospital, Kerman University of Medical Sciences, Kerman, IRAN.
- 3 Gastroenterology and Hepatology Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, IRAN.
- 4 Physiology Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, IRAN
- 5 Gastroenterology and Hepatology Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, IRAN.
- 6 Knowledge and Information Sciences, Neurology Research Center, Kerman University of Medical Sciences, Kerman, IRAN.
Published in Journal of Scientometric Research
Correspondence: Mahdiyeh Khazaneha
Knowledge and Information Sciences, Neurology Research Center, Kerman University of Medical Sciences, Kerman, IRAN.
Email: khazaneha.m@gmail.com
Copyright: © 2026 Manuscript Technomedia. This is an open access article.
- Published:
- Jan 3, 2026
- Received:
- Mar 17, 2025
- Accepted:
- Jul 21, 2025
How to cite
Azimi, M., Zahedi, M. J., Nakhaie, M., Kiskani, A. K., Eslami, O., & Khazaneha, M. (2026). Global Scientific in Hepatocellular Carcinoma: A Scientometric Analysis and Machine Learning. Journal of Scientometric Research, 14(2), 662–671. https://doi.org/10.5530/jscires.20251168
Abstract
Background
Hepatocellular Carcinoma (HCC), the predominant primary histological subtype of liver malignancy, arises in the context of chronic liver disease. This study aims to construct a scientific map, conduct structural analysis, examine evolutionary trends, and identify emerging trends in the corpus of published research on HCC.
Materials and Methods
This descriptive survey employs scientometric analysis, using bibliographic records obtained from the Web of Science (WOS) to recognize the core documents central to research topics in the field.
Results
A total of 98,310 documents, all of which exclusively consist of journal articles, were extracted. Key words frequently associated with hepatocellular carcinoma include "hepatocellular carcinoma," "cirrhosis," "survival," and "management."
Conclusion
The results of the present study establish a framework delineating the evolution of key research themes in HCC over time, illustrating how researchers have responded to various milestones in its development. Identifying the most efficient methods, with the least prescribed dose yet the most therapeutic impact, remains of paramount importance.
Keywords
Subject
Article metadata
| Title | Global Scientific in Hepatocellular Carcinoma: A Scientometric Analysis and Machine Learning |
|---|---|
| Authors | Maryam Azimi; Mohammad Javad Zahedi; Mohsen Nakhaie; Amin Karimzadeh Kiskani; Omid Eslami; Mahdiyeh Khazaneha |
| Affiliations | Traditional Medicine, School of Persian Medicine, Kerman University of Medical Sciences, Kerman, IRAN.; Department of Internal Medicine, Gastroenterology and Hepatology, School of Medicine, Gastroenterology and Hepatology Research Center, Afzalipour Hospital, Kerman University of Medical Sciences, Kerman, IRAN.; Gastroenterology and Hepatology Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, IRAN.; Physiology Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, IRAN; Gastroenterology and Hepatology Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, IRAN.; Knowledge and Information Sciences, Neurology Research Center, Kerman University of Medical Sciences, Kerman, IRAN. |
| Corresponding author | khazaneha.m@gmail.com |
| Journal | Journal of Scientometric Research |
| Volume / Issue | Vol. 14, Issue 2 (2026) |
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