The 100 most-cited radiomics articles in cancer research: A bibliometric analysis
- PMID: 40086035
- DOI: 10.1016/j.clinimag.2025.110442
The 100 most-cited radiomics articles in cancer research: A bibliometric analysis
Abstract
Radiomics, an advanced medical imaging analysis technique introduced by Professor Lambin in 2012, has quickly become a key area of medical research. To explore emerging trends in cancer-related radiomics, we conducted a bibliometric analysis of the 100 most-cited articles (T100) in this field. Data were collected from the Web of Science Core Collection on October 7, 2023, and the articles were ranked by citation count. We extracted data such as authors, journals, citation counts, and publication years and analyzed it using Microsoft Excel 2019 and R 4.4.2. CiteSpace was used to create co-occurrence and citation burst maps to show the relationships between authors, countries, institutions, and keywords. The analysis revealed that the T100 came from 81 countries, with the U.S. contributing the most (56 articles). Harvard University was the leading institution, and the journal Radiology had the highest citation count. Aerts Hugo JWL was the most influential author. The study highlights that "lung cancer" and "artificial intelligence" are emerging as major research hotspots, shaping the future of cancer radiomics.
Keywords: Bibliometric analysis; Cancer; CiteSpace; Radiology; Radiomics.
Copyright © 2025 Elsevier Inc. All rights reserved.
Conflict of interest statement
Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Xiaoming Li reports financial support was provided by Anhui Provincial Natural Science Foundation. Xiaoming Li reports financial support was provided by Key Laboratory of Philosophy and Social of Anhui Province on Adolescent Mental Health and Intelligence Intervention. Xiaoming Li reports financial support was provided by Anhui Medical University. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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