Keisuke Matsuda

48 total papers · 689 total citations
30 papers, 503 citations indexed

About

Keisuke Matsuda is a scholar working on Epidemiology, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Keisuke Matsuda has authored 30 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Keisuke Matsuda's work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Semiconductor materials and devices (5 papers) and Insect and Arachnid Ecology and Behavior (4 papers). Keisuke Matsuda is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (7 papers), Semiconductor materials and devices (5 papers) and Insect and Arachnid Ecology and Behavior (4 papers). Keisuke Matsuda collaborates with scholars based in Japan, United States and Costa Rica. Keisuke Matsuda's co-authors include Tohru Funahashi, Norikazu Maeda, Iichiro Shimomura, Hitoshi Nishizawa, Takuya Mori, Ryohei Sekimoto, Yuya Fujishima, Masaya Yamaoka, Yu Tsushima and Hiroki Gotoh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Development.

In The Last Decade

Keisuke Matsuda

26 papers receiving 491 citations

Author Peers

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

Author Last Decade Papers Cites
Keisuke Matsuda 186 159 112 82 59 30 503
Tong Jiao 117 0.6× 210 1.3× 123 1.1× 70 0.9× 55 0.9× 36 535
Małgorzata Wojtkowska 188 1.0× 271 1.7× 72 0.6× 63 0.8× 37 0.6× 42 539
Sebastian Brachs 102 0.5× 291 1.8× 146 1.3× 56 0.7× 108 1.8× 32 617
Julia Schipke 210 1.1× 159 1.0× 58 0.5× 133 1.6× 78 1.3× 42 586
Satoshi Kameshima 258 1.4× 159 1.0× 172 1.5× 173 2.1× 63 1.1× 32 567
In Sun Park 149 0.8× 170 1.1× 224 2.0× 48 0.6× 38 0.6× 24 516
Barbara J. Skelly 89 0.5× 107 0.7× 115 1.0× 31 0.4× 49 0.8× 31 515
Alexander Yang 138 0.7× 139 0.9× 107 1.0× 26 0.3× 51 0.9× 33 485
Tae‐Hoon Kim 101 0.5× 78 0.5× 53 0.5× 53 0.6× 35 0.6× 44 498
Н. Т. Райхлин 156 0.8× 157 1.0× 54 0.5× 164 2.0× 79 1.3× 26 596

Countries citing papers authored by Keisuke Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keisuke Matsuda

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