Masayuki Kambe

80 total papers · 1.8k total citations
58 papers, 1.5k citations indexed

About

Masayuki Kambe is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Masayuki Kambe has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 15 papers in Molecular Biology and 12 papers in Nutrition and Dietetics. Recurrent topics in Masayuki Kambe's work include Renin-Angiotensin System Studies (9 papers), Magnesium in Health and Disease (7 papers) and Receptor Mechanisms and Signaling (5 papers). Masayuki Kambe is often cited by papers focused on Renin-Angiotensin System Studies (9 papers), Magnesium in Health and Disease (7 papers) and Receptor Mechanisms and Signaling (5 papers). Masayuki Kambe collaborates with scholars based in Japan and United States. Masayuki Kambe's co-authors include Tetsuya Oshima, Ryoji Ozono, Hideo Matsuura, Goro Kajiyama, Yukihito Higashi, Takafumi Ishida, Yoko Yano, Yoshihiko Oishi, Yukiko Nakano and Masao Yoshizumi and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Circulation Research.

In The Last Decade

Masayuki Kambe

57 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Masayuki Kambe 627 425 343 254 254 58 1.5k
Clarice Kazue Fujihara 521 0.8× 565 1.3× 321 0.9× 255 1.0× 376 1.5× 63 2.2k
Karla B Neves 570 0.9× 550 1.3× 300 0.9× 240 0.9× 426 1.7× 57 1.9k
Dulcenombre Gómez‐Garré 762 1.2× 507 1.2× 362 1.1× 286 1.1× 528 2.1× 65 2.1k
Paul Schiffers 409 0.7× 478 1.1× 174 0.5× 196 0.8× 415 1.6× 69 1.7k
Kum Hyun Han 333 0.5× 545 1.3× 375 1.1× 315 1.2× 246 1.0× 50 2.0k
Noritaka Kawada 640 1.0× 682 1.6× 410 1.2× 294 1.2× 234 0.9× 40 2.1k
Mary F. Walsh 447 0.7× 595 1.4× 394 1.1× 204 0.8× 389 1.5× 53 1.7k
G. Friedman 339 0.5× 475 1.1× 454 1.3× 361 1.4× 300 1.2× 74 2.0k
Marcus Baumann 691 1.1× 500 1.2× 225 0.7× 268 1.1× 304 1.2× 94 2.1k
Adam Harvey 686 1.1× 479 1.1× 187 0.5× 207 0.8× 407 1.6× 40 1.9k

Countries citing papers authored by Masayuki Kambe

Since Specialization
Citations

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

Fields of papers citing papers by Masayuki Kambe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayuki Kambe

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