Takuma Arimitsu

71 total papers · 537 total citations
54 papers, 382 citations indexed

About

Takuma Arimitsu is a scholar working on Complementary and alternative medicine, Orthopedics and Sports Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Takuma Arimitsu has authored 54 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Complementary and alternative medicine, 24 papers in Orthopedics and Sports Medicine and 18 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Takuma Arimitsu's work include Cardiovascular and exercise physiology (31 papers), Sports Performance and Training (22 papers) and Heart Rate Variability and Autonomic Control (15 papers). Takuma Arimitsu is often cited by papers focused on Cardiovascular and exercise physiology (31 papers), Sports Performance and Training (22 papers) and Heart Rate Variability and Autonomic Control (15 papers). Takuma Arimitsu collaborates with scholars based in Japan, Cameroon and Denmark. Takuma Arimitsu's co-authors include Takahiro Yunoki, Satoshi Fujita, Jun Yasuda, T. Kimura, Hideyuki Takahashi, Naokazu Miyamoto, Yuta Otsuka, Takeshi Hashimoto, Yosuke Yamada and Masahiro Fukuda and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Nutrition.

In The Last Decade

Takuma Arimitsu

51 papers receiving 370 citations

Author Peers

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

Author Last Decade Papers Cites
Takuma Arimitsu 171 149 129 90 71 54 382
Yoshiharu Nabekura 193 1.1× 119 0.8× 125 1.0× 123 1.4× 34 0.5× 71 416
Borja Muñiz-Pardos 146 0.9× 200 1.3× 48 0.4× 104 1.2× 104 1.5× 36 439
Beth W. Glace 131 0.8× 121 0.8× 75 0.6× 136 1.5× 67 0.9× 22 346
Jaime Gallo‐Villegas 129 0.8× 65 0.4× 80 0.6× 48 0.5× 46 0.6× 74 427
W. D. Van Huss 144 0.8× 90 0.6× 58 0.4× 115 1.3× 70 1.0× 25 403
Darlan Lopes de Farias 187 1.1× 87 0.6× 127 1.0× 45 0.5× 31 0.4× 29 406
Daniel Muniz‐Pumares 80 0.5× 229 1.5× 218 1.7× 113 1.3× 72 1.0× 28 422
Edward C. Chaloupka 86 0.5× 226 1.5× 192 1.5× 44 0.5× 79 1.1× 27 421
Kaoru Kitagawa 97 0.6× 266 1.8× 158 1.2× 46 0.5× 100 1.4× 44 427
Myong-Won Seo 142 0.8× 147 1.0× 75 0.6× 46 0.5× 22 0.3× 40 402

Countries citing papers authored by Takuma Arimitsu

Since Specialization
Citations

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

Fields of papers citing papers by Takuma Arimitsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuma Arimitsu

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