Takeo Tedoriya

117 total papers · 913 total citations
67 papers, 687 citations indexed

About

Takeo Tedoriya is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Takeo Tedoriya has authored 67 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Surgery, 35 papers in Cardiology and Cardiovascular Medicine and 22 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Takeo Tedoriya's work include Cardiac Valve Diseases and Treatments (24 papers), Cardiac and Coronary Surgery Techniques (17 papers) and Cardiac Structural Anomalies and Repair (13 papers). Takeo Tedoriya is often cited by papers focused on Cardiac Valve Diseases and Treatments (24 papers), Cardiac and Coronary Surgery Techniques (17 papers) and Cardiac Structural Anomalies and Repair (13 papers). Takeo Tedoriya collaborates with scholars based in Japan, Germany and United Kingdom. Takeo Tedoriya's co-authors include Michio Kawasuji, Yoh Watanabe, Naoki Sakakibara, Hirofumi Takemura, Yoshifumi Sano, Keiji Goto, Hiroshi Date, Nobuyoshi Shimizu, Motoi Aoe and Akio Andou and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Takeo Tedoriya

59 papers receiving 657 citations

Author Peers

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

Author Last Decade Papers Cites
Takeo Tedoriya 495 348 182 119 95 67 687
Jean‐Philippe Mazzucotelli 318 0.6× 319 0.9× 101 0.6× 157 1.3× 96 1.0× 52 713
Mark R. Bonnell 509 1.0× 424 1.2× 168 0.9× 150 1.3× 55 0.6× 48 790
Kamen Valchanov 439 0.9× 178 0.5× 143 0.8× 366 3.1× 56 0.6× 56 748
Griepp Rb 444 0.9× 241 0.7× 224 1.2× 97 0.8× 155 1.6× 45 673
David W. Barbara 275 0.6× 195 0.6× 128 0.7× 90 0.8× 128 1.3× 54 633
István Hartyánszky 223 0.5× 210 0.6× 107 0.6× 92 0.8× 169 1.8× 106 580
Carlo Marcucci 369 0.7× 358 1.0× 191 1.0× 134 1.1× 172 1.8× 57 783
Sangbin Han 434 0.9× 84 0.2× 76 0.4× 31 0.3× 161 1.7× 65 722
Brian L. Ganzel 404 0.8× 353 1.0× 281 1.5× 135 1.1× 134 1.4× 44 785
George R. Daicoff 422 0.9× 258 0.7× 283 1.6× 134 1.1× 318 3.3× 44 742

Countries citing papers authored by Takeo Tedoriya

Since Specialization
Citations

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

Fields of papers citing papers by Takeo Tedoriya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeo Tedoriya

This figure shows the co-authorship network connecting the top 25 collaborators of Takeo Tedoriya. A scholar is included among the top collaborators of Takeo Tedoriya 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 Takeo Tedoriya. Takeo Tedoriya 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