Shinya Kanemoto

64 total papers · 476 total citations
32 papers, 358 citations indexed

About

Shinya Kanemoto is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Shinya Kanemoto has authored 32 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 11 papers in Cardiology and Cardiovascular Medicine and 11 papers in Epidemiology. Recurrent topics in Shinya Kanemoto's work include Congenital Heart Disease Studies (9 papers), Cardiac Ischemia and Reperfusion (8 papers) and Cardiac Valve Diseases and Treatments (5 papers). Shinya Kanemoto is often cited by papers focused on Congenital Heart Disease Studies (9 papers), Cardiac Ischemia and Reperfusion (8 papers) and Cardiac Valve Diseases and Treatments (5 papers). Shinya Kanemoto collaborates with scholars based in Japan and United States. Shinya Kanemoto's co-authors include Robert C. Gorman, Joseph H. Gorman, Bradley G. Leshnower, Robin Hinmon, Muneaki Matsubara, Landi M. Parish, Hiroaki Sakamoto, Hirotsugu Hamamoto, Theodore Plappert and Yuji Hiramatsu and has published in prestigious journals such as Circulation, American Journal of Physiology-Heart and Circulatory Physiology and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Shinya Kanemoto

28 papers receiving 350 citations

Author Peers

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

Author Last Decade Papers Cites
Shinya Kanemoto 99 95 91 84 72 32 358
Muneaki Matsubara 81 0.8× 74 0.8× 51 0.6× 68 0.8× 85 1.2× 42 320
Kanat Özışık 67 0.7× 109 1.1× 40 0.4× 77 0.9× 40 0.6× 58 338
Jan P. Roesner 54 0.5× 67 0.7× 49 0.5× 35 0.4× 78 1.1× 23 360
Maddalena Tessari 91 0.9× 104 1.1× 81 0.9× 84 1.0× 53 0.7× 25 318
Xiaoyong Xiang 52 0.5× 181 1.9× 39 0.4× 132 1.6× 57 0.8× 28 400
Qin Ling 43 0.4× 55 0.6× 69 0.8× 34 0.4× 118 1.6× 22 369
R Tabata 50 0.5× 129 1.4× 30 0.3× 70 0.8× 64 0.9× 26 306
Sandra Weber 30 0.3× 64 0.7× 49 0.5× 35 0.4× 73 1.0× 21 403
Thomas Waldow 66 0.7× 142 1.5× 27 0.3× 96 1.1× 54 0.8× 35 362
H. Maechler 31 0.3× 80 0.8× 69 0.8× 161 1.9× 62 0.9× 23 340

Countries citing papers authored by Shinya Kanemoto

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Kanemoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Kanemoto

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