Koichi Sohmiya

117 total papers · 1.8k total citations
66 papers, 1.3k citations indexed

About

Koichi Sohmiya is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Koichi Sohmiya has authored 66 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cardiology and Cardiovascular Medicine, 24 papers in Molecular Biology and 12 papers in Surgery. Recurrent topics in Koichi Sohmiya's work include Cardiovascular Function and Risk Factors (17 papers), Parathyroid Disorders and Treatments (9 papers) and Peroxisome Proliferator-Activated Receptors (9 papers). Koichi Sohmiya is often cited by papers focused on Cardiovascular Function and Risk Factors (17 papers), Parathyroid Disorders and Treatments (9 papers) and Peroxisome Proliferator-Activated Receptors (9 papers). Koichi Sohmiya collaborates with scholars based in Japan, Brazil and United States. Koichi Sohmiya's co-authors include Masaaki Hoshiga, Takao Tanaka, Nobukazu Ishizaka, F Okamoto, Shuichi Fujita, Hideaki Morita, Takahide Ito, Yasushi Kitaura, Keishiro Kawamura and Yumiko Kanzaki and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The American Journal of Cardiology.

In The Last Decade

Koichi Sohmiya

65 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Koichi Sohmiya 505 487 261 219 163 66 1.3k
Yusuke Nakagawa 567 1.1× 501 1.0× 326 1.2× 189 0.9× 260 1.6× 86 1.7k
Masayuki Hosoi 366 0.7× 472 1.0× 180 0.7× 239 1.1× 162 1.0× 42 1.4k
Evren Caglayan 506 1.0× 502 1.0× 333 1.3× 154 0.7× 154 0.9× 62 1.7k
Zhangwei Chen 443 0.9× 580 1.2× 260 1.0× 106 0.5× 95 0.6× 85 1.3k
Ken‐ichi Miyoshi 356 0.7× 412 0.8× 204 0.8× 262 1.2× 82 0.5× 63 1.3k
Masaaki Hoshiga 568 1.1× 336 0.7× 359 1.4× 226 1.0× 131 0.8× 103 1.4k
Jun–ei Obata 658 1.3× 282 0.6× 387 1.5× 146 0.7× 100 0.6× 69 1.3k
Mutsuharu Hayashi 632 1.3× 366 0.8× 462 1.8× 265 1.2× 123 0.8× 70 1.5k
Ben He 385 0.8× 414 0.9× 292 1.1× 303 1.4× 65 0.4× 79 1.4k
Sandrine Placier 396 0.8× 548 1.1× 222 0.9× 492 2.2× 178 1.1× 53 1.8k

Countries citing papers authored by Koichi Sohmiya

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Sohmiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Sohmiya

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