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Global trends and collaboration networks in radiology: A bibliometric analysis of the 500 most-cited articles in web of science

Clin Imaging. 2025 Dec 17;130:110700. doi: 10.1016/j.clinimag.2025.110700. Online ahead of print.

ABSTRACT

OBJECTIVE: This study examined global research trends in Radiology, Nuclear Medicine, and Medical Imaging by analyzing the 500 most-cited articles in the Web of Science (WoS) Core Collection.

METHODS: A bibliometric search was conducted on June 15, 2025. Biblioshiny and VOSviewer 1.6.20 were used for network visualization, including institutional collaboration, co-authorship, keyword co-occurrence, and country-level contributions. Temporal patterns were analyzed with Python 3.13.3, and descriptive statistics summarized publication data.

RESULTS: Harvard University led institutional contributions with 54 publications, followed by Massachusetts General Hospital (n = 49), University of Oxford (n = 35), Washington University (n = 29), and University of Texas (n = 26). The United States accounted for 53.4 % of all outputs, followed by the United Kingdom (21.6 %), Germany (12 %), Canada (9 %), and France (8 %). Among authors, Stephen M. Smith contributed most (19 publications), followed by Jenkinson, M (n = 14), and Friston, KJ (n = 13). The most frequent keywords were “MRI” (n = 65), “Brain” (n = 43), “fMRI” (n = 37), “Segmentation” (n = 25), and “PET” (n = 24). In addition to leading all journals in citation impact (citations per article), Neuroimage was also identified as the most productive journal overall. Regarding the average citation impact, the top-performing entities in their respective categories were: the University of Oxford (among organizations), Germany (among countries), Smith Stephen M (among authors), and the journal Neuroimage (among journals). Emerging terms included “deep learning” and “artificial intelligence.” The most-cited article was Ronneberger et al.’s U-Net (2015), cited 63,448 times.

CONCLUSION: High-impact radiology research is concentrated in North America and Western Europe, with neuroimaging and artificial intelligence representing key emerging domains. These insights provide a roadmap for research prioritization and collaboration strategies.

PMID:41455150 | DOI:10.1016/j.clinimag.2025.110700

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