Masaki Takeda

104 total papers · 713 total citations
45 papers, 525 citations indexed

About

Masaki Takeda is a scholar working on Complementary and alternative medicine, Orthopedics and Sports Medicine and Physiology. According to data from OpenAlex, Masaki Takeda has authored 45 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Complementary and alternative medicine, 16 papers in Orthopedics and Sports Medicine and 15 papers in Physiology. Recurrent topics in Masaki Takeda's work include Cardiovascular and exercise physiology (16 papers), Sports Performance and Training (14 papers) and Adipose Tissue and Metabolism (8 papers). Masaki Takeda is often cited by papers focused on Cardiovascular and exercise physiology (16 papers), Sports Performance and Training (14 papers) and Adipose Tissue and Metabolism (8 papers). Masaki Takeda collaborates with scholars based in Japan, Hungary and Austria. Masaki Takeda's co-authors include Zsolt Radák, Ferenc Torma, Zoltán Gombos, Tatsuya Mimura, Mátyás Jókai, Kiyoji Tanaka, Erika Koltai, Steven L. Britton, István Boldogh and Lauren G. Koch and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Medicine & Science in Sports & Exercise.

In The Last Decade

Masaki Takeda

39 papers receiving 510 citations

Author Peers

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

Author Last Decade Papers Cites
Masaki Takeda 195 143 134 113 105 45 525
Sadegh Amani-Shalamzari 202 1.0× 132 0.9× 148 1.1× 88 0.8× 115 1.1× 43 615
Camila S. Padilha 264 1.4× 69 0.5× 90 0.7× 130 1.2× 132 1.3× 36 595
Jadwiga Szymura 237 1.2× 188 1.3× 103 0.8× 202 1.8× 60 0.6× 47 611
Ivan Gustavo Masselli dos Reis 183 0.9× 171 1.2× 116 0.9× 96 0.8× 40 0.4× 46 470
Tomasz Grzywacz 217 1.1× 170 1.2× 95 0.7× 251 2.2× 40 0.4× 33 512
Timothy Law 189 1.0× 93 0.7× 65 0.5× 49 0.4× 76 0.7× 35 535
Sergio Perez 208 1.1× 162 1.1× 106 0.8× 147 1.3× 64 0.6× 31 568
Rodrigo Vanerson Passos Neves 213 1.1× 54 0.4× 99 0.7× 70 0.6× 59 0.6× 64 618
Magdalena Więcek 236 1.2× 192 1.3× 104 0.8× 196 1.7× 48 0.5× 47 569
Gunnar Treff 186 1.0× 213 1.5× 177 1.3× 81 0.7× 41 0.4× 57 588

Countries citing papers authored by Masaki Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Takeda

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