Masamoto Kanno

128 total papers · 5.0k total citations
90 papers, 4.2k citations indexed

About

Masamoto Kanno is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Masamoto Kanno has authored 90 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 26 papers in Immunology and 17 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Masamoto Kanno's work include Epigenetics and DNA Methylation (15 papers), Cardiac electrophysiology and arrhythmias (13 papers) and Receptor Mechanisms and Signaling (12 papers). Masamoto Kanno is often cited by papers focused on Epigenetics and DNA Methylation (15 papers), Cardiac electrophysiology and arrhythmias (13 papers) and Receptor Mechanisms and Signaling (12 papers). Masamoto Kanno collaborates with scholars based in Japan, France and United States. Masamoto Kanno's co-authors include Haruhiko Koseki, Masaru Taniguchi, Isao Toura, Tetsu Kawano, Yoshikatsu Kaneko, Eisuke Kondo, Tahiro Shin, Hiroshi Sato, Junqing Cui and Yuichi Hattori and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Masamoto Kanno

89 papers receiving 4.1k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Masamoto Kanno 1.9k 1.8k 704 408 363 90 4.2k
Carlie J.M. de Vries 2.2k 1.2× 1.7k 1.0× 444 0.6× 284 0.7× 426 1.2× 103 4.8k
Mark L. Tykocinski 1.8k 1.0× 2.1k 1.2× 597 0.8× 357 0.9× 444 1.2× 90 4.4k
Satoshi Matsuda 2.4k 1.2× 1.7k 0.9× 643 0.9× 296 0.7× 179 0.5× 72 5.0k
Kirk M. Druey 2.8k 1.4× 767 0.4× 601 0.9× 553 1.4× 403 1.1× 98 5.2k
Federica M. Marelli‐Berg 1.4k 0.7× 2.9k 1.6× 897 1.3× 398 1.0× 366 1.0× 102 5.1k
Akira Niwa 1.9k 1.0× 1.9k 1.0× 607 0.9× 381 0.9× 324 0.9× 113 4.9k
Michel Simon 1.7k 0.9× 1.1k 0.6× 505 0.7× 432 1.1× 257 0.7× 142 5.9k
Pravin B. Sehgal 1.3k 0.7× 1.3k 0.7× 891 1.3× 317 0.8× 186 0.5× 79 3.5k
J. Yun Tso 2.1k 1.1× 1.3k 0.7× 616 0.9× 209 0.5× 548 1.5× 51 4.3k
Jonathan M.J. Derry 2.1k 1.1× 1.4k 0.8× 515 0.7× 332 0.8× 565 1.6× 44 4.4k

Countries citing papers authored by Masamoto Kanno

Since Specialization
Citations

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

Fields of papers citing papers by Masamoto Kanno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masamoto Kanno

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