ReviewAbdominal radiology (New York)2026
A bibliometric analysis of the 100 most cited radiology papers on pancreatic diseases (1990-Present).
Review in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo map the intellectual evolution of pancreatic radiology through a comprehensive bibliometric analysis of the 100 most-cited articles, identifying influential contributors and publications, geographical and institutional patterns, and delineating the thematic and technological trends shaping research from 1990 to the present.
methodsA systematic search of the Scopus database, conducted on May 11, 2025, identified the top 1,000 most-cited pancreatic radiology records between 1990 and 2025. Two reviewers independently screened articles for a primary focus on pancreatic imaging within core radiology journals. The final 100 articles were analyzed using the Bibliometrix R package to evaluate publication trends, contributor influence, and collaborative networks. The conceptual structure and thematic evolution of the field were mapped using VOSviewer (version 1.6.20).
resultsThe median citation count was 223 (IQR: 190.2-264.5). A significant temporal bias was evident: the most-cited article was Balthazar et al.'s 1990 study on CT in pancreatitis (1,424 citations), while a 2015 deep learning paper achieved the highest citation velocity (58.5 citations/year). Analysis of research topics revealed a strong oncologic focus, with pancreatic neoplasms accounting for 51% of all articles. CT was the predominant imaging modality (55%), followed by MRI (24%). The research ecosystem was concentrated, with the United States contributing 46 articles and Radiology publishing 44 of the top 100 papers. Leading institutions included Johns Hopkins University and the Mayo Clinic. Co-authorship network analysis identified Megibow AJ as the researcher with the highest network centrality, highlighting the importance of collaborative hubs.
conclusionThis bibliometric analysis charts the field's evolution from foundational CT/MRI applications to the current AI frontier. Our findings serve as a guide to the characteristics of high-impact research, highlighting a consistent focus on oncology, driven by key authors and US institutions. While historical benchmarks focused on morphological assessment, citation metrics confirm computational methods as the principal driver of future innovation.
Indexed as
Identifiers
41417080What Socratic holds
Registered trials
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.