T. Matsuda

37 total papers · 1.1k total citations
22 papers, 840 citations indexed

About

T. Matsuda is a scholar working on Cognitive Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, T. Matsuda has authored 22 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 7 papers in Neurology and 5 papers in Molecular Biology. Recurrent topics in T. Matsuda's work include Transcranial Magnetic Stimulation Studies (7 papers), EEG and Brain-Computer Interfaces (6 papers) and Neuroscience and Neural Engineering (5 papers). T. Matsuda is often cited by papers focused on Transcranial Magnetic Stimulation Studies (7 papers), EEG and Brain-Computer Interfaces (6 papers) and Neuroscience and Neural Engineering (5 papers). T. Matsuda collaborates with scholars based in Japan, United States and Indonesia. T. Matsuda's co-authors include Shoogo Ueno, T. Hori, Minoru Fujiki, Toshihiro Nakashima, Atsushi Muraguchi, Hideaki Ishikawa, Yuichi Fujii, Hirotsugu Yamada, T Hirayama and Masayuki Iwano and has published in prestigious journals such as The Journal of Immunology, Journal of Applied Physics and The Journal of Physiology.

In The Last Decade

T. Matsuda

19 papers receiving 820 citations

Author Peers

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

Author Last Decade Papers Cites
T. Matsuda 213 204 149 107 103 22 840
Chao Dai 268 1.3× 320 1.6× 70 0.5× 71 0.7× 42 0.4× 22 825
Amanda Turner 391 1.8× 174 0.9× 69 0.5× 25 0.2× 107 1.0× 16 827
Wensheng Wang 223 1.0× 206 1.0× 23 0.2× 60 0.6× 135 1.3× 53 855
Tal Yardeni 108 0.5× 501 2.5× 30 0.2× 44 0.4× 74 0.7× 24 943
Sarah Schock 94 0.4× 447 2.2× 39 0.3× 98 0.9× 47 0.5× 29 871
A. Wright 358 1.7× 206 1.0× 27 0.2× 37 0.3× 86 0.8× 31 907
Laura Edwards 126 0.6× 150 0.7× 15 0.1× 60 0.6× 119 1.2× 34 832
Jurjen M. Ruben 386 1.8× 150 0.7× 27 0.2× 58 0.5× 162 1.6× 35 895
Minako Sato 32 0.2× 178 0.9× 266 1.8× 40 0.4× 36 0.3× 39 789
Roobina Boghozian 217 1.0× 439 2.2× 60 0.4× 132 1.2× 39 0.4× 19 700

Countries citing papers authored by T. Matsuda

Since Specialization
Citations

This map shows the geographic impact of T. 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 T. Matsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Matsuda more than expected).

Fields of papers citing papers by T. Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Matsuda

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