Masaki Tsuda

160 total papers · 779 total citations
81 papers, 304 citations indexed

About

Masaki Tsuda is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Masaki Tsuda has authored 81 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Cardiology and Cardiovascular Medicine, 15 papers in Surgery and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Masaki Tsuda's work include Atrial Fibrillation Management and Outcomes (35 papers), Cardiac Arrhythmias and Treatments (35 papers) and Cardiac electrophysiology and arrhythmias (20 papers). Masaki Tsuda is often cited by papers focused on Atrial Fibrillation Management and Outcomes (35 papers), Cardiac Arrhythmias and Treatments (35 papers) and Cardiac electrophysiology and arrhythmias (20 papers). Masaki Tsuda collaborates with scholars based in Japan, China and United States. Masaki Tsuda's co-authors include Masami Nishino, Masamichi Yano, Koji Yasumoto, Yasuyuki Egami, Jun Tanouchi, Yasuharu Matsunaga‐Lee, Hitoshi Nakamura, Masakado Kawata, Yutaka Matsuhiro and Naotaka Okamoto and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Cardiology and PLoS Computational Biology.

In The Last Decade

Masaki Tsuda

62 papers receiving 298 citations

Author Peers

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

Author Last Decade Papers Cites
Masaki Tsuda 206 47 27 26 24 81 304
R Hegglin 85 0.4× 42 0.9× 44 1.6× 18 0.7× 9 0.4× 57 248
Piotr Lodziński 283 1.4× 34 0.7× 15 0.6× 31 1.2× 11 0.5× 46 356
Zdravko Babić 136 0.7× 56 1.2× 21 0.8× 12 0.5× 10 0.4× 49 269
Akihiro Endo 194 0.9× 96 2.0× 53 2.0× 25 1.0× 10 0.4× 72 320
Farshad Shakerian 142 0.7× 91 1.9× 41 1.5× 33 1.3× 8 0.3× 55 303
Abe H 59 0.3× 70 1.5× 17 0.6× 41 1.6× 14 0.6× 66 314
Sara Ferreira 201 1.0× 86 1.8× 69 2.6× 23 0.9× 8 0.3× 42 344
Negar Omidi 96 0.5× 59 1.3× 21 0.8× 63 2.4× 9 0.4× 52 293
Yumi Ishii 158 0.8× 52 1.1× 35 1.3× 64 2.5× 9 0.4× 43 349
Ramazan Asoğlu 174 0.8× 34 0.7× 21 0.8× 25 1.0× 5 0.2× 42 325

Countries citing papers authored by Masaki Tsuda

Since Specialization
Citations

This map shows the geographic impact of Masaki Tsuda'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 Masaki Tsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaki Tsuda more than expected).

Fields of papers citing papers by Masaki Tsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Masaki Tsuda. 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 Masaki Tsuda. The network helps show where Masaki Tsuda may publish in the future.

Co-authorship network of co-authors of Masaki Tsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Tsuda. A scholar is included among the top collaborators of Masaki Tsuda 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 Masaki Tsuda. Masaki Tsuda 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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2026