Delving into the pinnacle: an in-depth analysis of the top 100 most cited articles on cardio-oncology

Figures

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  Fig. 1. Flow chart of searching and analyzing the top 100 most cited articles

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  Fig. 2. (A) the consist of the top 100 most cited articles. (B) Time distribution of clinical research articles and basic research articles. (C) Total citations of the 100 most cited articles per year (top), and total publications and average citations per year (bottle). (D) Main themes of clinical research (top) and basic research (bottle)

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  Fig. 3. (A) Total citations of the journals are more than 2 of T100, and (B) Total publications and average citations of the journals are more than 2 of T100 (bottle). (C) Visual network map of journals published T100, different color represents different clusters, bigger size of the dot stands for the more publications, lines mean the association between journals

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  Fig. 4. (A) total publications and citations of countries published T100, and (B) Radar chart of average citations of the countries published T100. (C) Visual network map of countries published T100, the wider the circle means the more publications and the thicker the line stands for the closer the cooperation between the countries/regions

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  Fig. 5. A. Total publications and citations of authors, and B. Radar chart of average citations of the authors published more than 2 of T100. C. Visual network map co-authorship authors with more than 2 of T100, the size of the circle represents the number of publications, and the line stands for the co-authorship between the authors

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  Fig. 6. (A) Total publications and citations of institutions, and (B) Radar chart of average citations of the institutions published more than 2 of T100. (C) Country distribution of institutions published more than 2 of T100

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  Fig. 7. (A) Visual network of 134 keywords with more than 3 occurrences formed by VOSviewer. The size of the node stands for the time of occurrence, and lines between dots mean the co-occurrence of keywords. (B) Visual network of 134 keywords with more than 3 occurrences over time conducted by VOSviewer. The size of the node stands for the time of occurrence, and lines between dots mean the co-occurrence of keywords. Purple stands for old keywords, and yellow means emerging keywords

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  Fig. 8. (A) Visual analysis of the clusters decided by the keywords of T100 performed by CiteSpace. (B) Timeline viewer of keywords from the clusters of keywords from T100 by CiteSpace. Note: In Panel A, nodes in the same color group belong to a thematic cluster, showing groups of closely related keywords. In Panel B, nodes represent keywords, and their size indicates the frequency of occurrence. Links represent co-occurrence or thematic connections over time

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  Fig. 9. Top 15 keywords with the strongest citation bursts formed by Citespace. Note: Burst intensity in CiteSpace quantifies the speed and magnitude of a node’s (e.g., keyword) rising occurrence over time. High burst marks sudden, sustained research foci (e.g., paradigm shifts), while low burst reflects modest growth, such as nascent trends or niche topics