Yuichi Ninomiya

181 total papers · 1.8k total citations
89 papers, 1.3k citations indexed

About

Yuichi Ninomiya is a scholar working on Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Yuichi Ninomiya has authored 89 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cardiology and Cardiovascular Medicine, 13 papers in Computer Vision and Pattern Recognition and 11 papers in Molecular Biology. Recurrent topics in Yuichi Ninomiya's work include Atrial Fibrillation Management and Outcomes (28 papers), Cardiac Arrhythmias and Treatments (24 papers) and Cardiac electrophysiology and arrhythmias (11 papers). Yuichi Ninomiya is often cited by papers focused on Atrial Fibrillation Management and Outcomes (28 papers), Cardiac Arrhythmias and Treatments (24 papers) and Cardiac electrophysiology and arrhythmias (11 papers). Yuichi Ninomiya collaborates with scholars based in Japan, United States and Greece. Yuichi Ninomiya's co-authors include Yasushi Okazaki, Chuwa Tei, Shuichi Hamasaki, Sanemasa Ishida, Hitoshi Ichiki, Hideki Okui, Yoshimi Tokuzawa, Naoya Oketani, Masamoto Kanno and Rieko Kanno and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Yuichi Ninomiya

77 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Yuichi Ninomiya 415 400 189 113 106 89 1.3k
Robert C. Molthen 245 0.6× 176 0.4× 52 0.3× 61 0.5× 28 0.3× 59 1.4k
Jason Haga 214 0.5× 580 1.4× 97 0.5× 42 0.4× 26 0.2× 52 1.6k
Jeffrey H. Price 126 0.3× 695 1.7× 96 0.5× 107 0.9× 26 0.2× 64 1.5k
James C. Lacefield 227 0.5× 466 1.2× 145 0.8× 20 0.2× 22 0.2× 80 1.2k
Cuiwei Liu 31 0.1× 260 0.7× 175 0.9× 169 1.5× 208 2.0× 57 1.1k
Satoshi Komatsu 287 0.7× 624 1.6× 45 0.2× 7 0.1× 107 1.0× 79 1.1k
Zhengyun Zhang 32 0.1× 288 0.7× 135 0.7× 72 0.6× 37 0.3× 79 1.1k
Xinjian Guo 21 0.1× 356 0.9× 83 0.4× 32 0.3× 230 2.2× 48 1.4k
José A. Seoane 39 0.1× 825 2.1× 365 1.9× 58 0.5× 37 0.3× 55 1.6k
Kirk Wallace 162 0.4× 176 0.4× 37 0.2× 16 0.1× 24 0.2× 97 1.5k

Countries citing papers authored by Yuichi Ninomiya

Since Specialization
Citations

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

Fields of papers citing papers by Yuichi Ninomiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuichi Ninomiya

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