• World Neurosurg · Feb 2023

    Review

    A Bibliometric Analysis of the Top 100 Most Influential Articles on Cerebral Cavernous Malformations.

    • Lane Fry, Cody Heskett, Frank A De Stefano, Catherine Lei, Aaron Brake, Kevin Chatley, Koji Ebersole, and Jeremy Peterson.
    • University of Kansas School of Medicine, Kansas City, KS, USA.
    • World Neurosurg. 2023 Feb 1; 170: 138148138-148.

    ObjectiveCerebral cavernous malformations (CCMs) or cavernomas, are low-flow sinusoidal vascular anomalies of the central nervous system comprised of capillary networks filled with blood in various stages of thrombosis. This bibliometric analysis summarizes the most-cited articles on CCM and highlights the contributing articles to today's evidence-based practice.MethodsIn the execution of this bibliometric-based review article, the Scopus database was used to perform a title-specific, keyword-based search for all publications until June 2022. The keyword "cerebral cavernous malformations" OR "cerebral cavernous hemangioma" OR "cerebral cavernous angioma" OR "cerebral cavernoma." was used. Our results were arranged in descending order based on the article's citation count. The 100 most-cited articles were selected for analysis. Parameters included the following: title, citation count, citations per year, authors, specialty of first author, institution, country of origin, publishing journal, Source Normalized Impact per Paper, and Hirsch index were collected.ResultsThe keyword-based search showed that 806 articles were published between 1974 and 2022 on CCMs. The top 100 articles were published between 1980 and 2018. The top 100 most cited articles collected a total of 12,928 citations with an average of 129.3 citations per paper. The rate of self-citations accounted for an average of 2.79% of the total number of citations.ConclusionsThe bibliometric analysis provides a quantitative overview of how medical topics and interventions are analyzed in academic medicine. In the present study, we evaluated the global trends in CCMs by analyzing the top 100 most cited papers.Copyright © 2022 Elsevier Inc. All rights reserved.

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