Katsuyoshi MAEDA

31 total papers · 553 total citations
21 papers, 423 citations indexed

About

Katsuyoshi MAEDA is a scholar working on Social Psychology, Pharmacology and Orthopedics and Sports Medicine. According to data from OpenAlex, Katsuyoshi MAEDA has authored 21 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Social Psychology, 8 papers in Pharmacology and 5 papers in Orthopedics and Sports Medicine. Recurrent topics in Katsuyoshi MAEDA's work include Ergonomics and Musculoskeletal Disorders (10 papers), Musculoskeletal pain and rehabilitation (8 papers) and Effects of Vibration on Health (5 papers). Katsuyoshi MAEDA is often cited by papers focused on Ergonomics and Musculoskeletal Disorders (10 papers), Musculoskeletal pain and rehabilitation (8 papers) and Effects of Vibration on Health (5 papers). Katsuyoshi MAEDA collaborates with scholars based in Japan, Switzerland and Germany. Katsuyoshi MAEDA's co-authors include E. Grandjean, W. Hün̈ting, Shun'ichi Horiguchi, Yoshito Inoue, Kazuharu Yoshizuka, Toshio Matsushita, Mariko Oki, Yasuhiro Takeuchi, Shinya Yamada and Tadao Matsumoto and has published in prestigious journals such as Environmental Health Perspectives, Applied Ergonomics and Journal of Occupational and Environmental Medicine.

In The Last Decade

Katsuyoshi MAEDA

21 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
Katsuyoshi MAEDA 259 227 98 62 53 21 423
E Overgaard 252 1.0× 195 0.9× 68 0.7× 98 1.6× 22 0.4× 11 494
Maria Beatriz G. VILLANUEVA 152 0.6× 258 1.1× 89 0.9× 95 1.5× 26 0.5× 19 437
Natacha Fouquet 307 1.2× 96 0.4× 48 0.5× 68 1.1× 36 0.7× 35 486
Shona Papalia 89 0.3× 94 0.4× 104 1.1× 39 0.6× 17 0.3× 13 478
Sasitorn Taptagaporn 84 0.3× 240 1.1× 29 0.3× 53 0.9× 26 0.5× 31 417
Maxwell Fogleman 241 0.9× 187 0.8× 63 0.6× 67 1.1× 45 0.8× 11 371
Nirjhar Dutta 54 0.2× 70 0.3× 18 0.2× 17 0.3× 15 0.3× 13 421
T. R. Waters 328 1.3× 238 1.0× 83 0.8× 46 0.7× 77 1.5× 16 413
Jennie A. Jackson 224 0.9× 171 0.8× 82 0.8× 52 0.8× 26 0.5× 30 378
U. S. von Euler 129 0.5× 43 0.2× 21 0.2× 36 0.6× 14 0.3× 24 462

Countries citing papers authored by Katsuyoshi MAEDA

Since Specialization
Citations

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

Fields of papers citing papers by Katsuyoshi MAEDA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsuyoshi MAEDA

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