Yasuo Matsuda

180 total papers · 2.9k total citations
116 papers, 2.3k citations indexed

About

Yasuo Matsuda is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Yasuo Matsuda has authored 116 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Cardiology and Cardiovascular Medicine, 42 papers in Radiology, Nuclear Medicine and Imaging and 33 papers in Surgery. Recurrent topics in Yasuo Matsuda's work include Cardiac Imaging and Diagnostics (39 papers), Cardiovascular Function and Risk Factors (27 papers) and Cardiac electrophysiology and arrhythmias (13 papers). Yasuo Matsuda is often cited by papers focused on Cardiac Imaging and Diagnostics (39 papers), Cardiovascular Function and Risk Factors (27 papers) and Cardiac electrophysiology and arrhythmias (13 papers). Yasuo Matsuda collaborates with scholars based in Japan, United States and Germany. Yasuo Matsuda's co-authors include Iwao Yabuuchi, Hiroshi Ogawa, Reizo Kusukawa, Masako Matsuda, M Matsuzaki, Toshiaki Kumada, K Moritani, Y Toma, John R. Kramer and Fumio Yoshino and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Yasuo Matsuda

110 papers receiving 2.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yasuo Matsuda 1.1k 651 491 335 293 116 2.3k
Kazunobu Nishimura 1.1k 1.0× 383 0.6× 944 1.9× 20 0.1× 122 0.4× 128 2.4k
William F. Pritchard 213 0.2× 407 0.6× 369 0.8× 241 0.7× 29 0.1× 100 1.6k
Yuzo Yamasaki 413 0.4× 475 0.7× 247 0.5× 19 0.1× 62 0.2× 135 1.5k
Isamu Mizote 901 0.8× 288 0.4× 538 1.1× 41 0.1× 29 0.1× 72 2.6k
Christian F. Vahl 1.2k 1.1× 182 0.3× 943 1.9× 49 0.1× 28 0.1× 109 2.7k
Shunsuke Saito 573 0.5× 53 0.1× 1.0k 2.1× 52 0.2× 81 0.3× 180 1.8k
Ming‐Huei Chen 441 0.4× 43 0.1× 181 0.4× 126 0.4× 35 0.1× 73 1.8k
Vishal S. Chandan 105 0.1× 109 0.2× 634 1.3× 220 0.7× 34 0.1× 76 1.6k
Keith A. Horvath 693 0.6× 392 0.6× 1.6k 3.2× 66 0.2× 12 0.0× 90 2.7k
Hideshi Okada 1.1k 1.0× 87 0.1× 532 1.1× 45 0.1× 25 0.1× 120 2.7k

Countries citing papers authored by Yasuo Matsuda

Since Specialization
Citations

This map shows the geographic impact of Yasuo Matsuda's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yasuo Matsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuo Matsuda more than expected).

Fields of papers citing papers by Yasuo Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yasuo Matsuda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yasuo Matsuda. The network helps show where Yasuo Matsuda may publish in the future.

Co-authorship network of co-authors of Yasuo Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuo Matsuda. A scholar is included among the top collaborators of Yasuo Matsuda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yasuo Matsuda. Yasuo Matsuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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