Masataka Suwa

47 total papers · 1.4k total citations
36 papers, 1.2k citations indexed

About

Masataka Suwa is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Masataka Suwa has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Physiology, 9 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Masataka Suwa's work include Adipose Tissue and Metabolism (16 papers), Muscle Physiology and Disorders (7 papers) and Nerve injury and regeneration (5 papers). Masataka Suwa is often cited by papers focused on Adipose Tissue and Metabolism (16 papers), Muscle Physiology and Disorders (7 papers) and Nerve injury and regeneration (5 papers). Masataka Suwa collaborates with scholars based in Japan, Hungary and United States. Masataka Suwa's co-authors include Shuzo Kumagai, Hiroshi Nakano, Zsolt Radák, Haruka Sasaki, Yu Nofuji, Toru Egashira, Hiro Kishimoto, A. Ichimiya, Shigeru Katsuta and T. Nakamura and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physiology.

In The Last Decade

Masataka Suwa

34 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
Masataka Suwa 649 470 185 184 167 36 1.2k
Hyo Youl Moon 512 0.8× 557 1.2× 143 0.8× 39 0.2× 115 0.7× 51 1.3k
Joon‐Yong Cho 490 0.8× 235 0.5× 189 1.0× 70 0.4× 174 1.0× 64 1.1k
Yanlei Hao 278 0.4× 602 1.3× 294 1.6× 48 0.3× 77 0.5× 43 1.3k
J.‐G. Chabot 352 0.5× 485 1.0× 375 2.0× 52 0.3× 54 0.3× 53 1.5k
Josef Brandauer 788 1.2× 526 1.1× 31 0.2× 163 0.9× 214 1.3× 24 1.3k
Mark E. Chachich 421 0.6× 290 0.6× 190 1.0× 73 0.4× 69 0.4× 24 1.4k
Thomas Brioche 513 0.8× 413 0.9× 36 0.2× 63 0.3× 38 0.2× 35 992
Irma M. Parhad 320 0.5× 282 0.6× 326 1.8× 78 0.4× 47 0.3× 25 1.4k
Eun‐Bum Kang 478 0.7× 197 0.4× 137 0.7× 49 0.3× 140 0.8× 24 922
Arshag D. Mooradian 411 0.6× 301 0.6× 112 0.6× 30 0.2× 73 0.4× 34 1.2k

Countries citing papers authored by Masataka Suwa

Since Specialization
Citations

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

Fields of papers citing papers by Masataka Suwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masataka Suwa

This figure shows the co-authorship network connecting the top 25 collaborators of Masataka Suwa. A scholar is included among the top collaborators of Masataka Suwa 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 Masataka Suwa. Masataka Suwa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026