Taito Matsuda

46 total papers · 1.1k total citations
26 papers, 814 citations indexed

About

Taito Matsuda is a scholar working on Molecular Biology, Developmental Neuroscience and Neurology. According to data from OpenAlex, Taito Matsuda has authored 26 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Developmental Neuroscience and 8 papers in Neurology. Recurrent topics in Taito Matsuda's work include Neurogenesis and neuroplasticity mechanisms (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Pluripotent Stem Cells Research (5 papers). Taito Matsuda is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Pluripotent Stem Cells Research (5 papers). Taito Matsuda collaborates with scholars based in Japan, United States and Germany. Taito Matsuda's co-authors include Kinichi Nakashima, Naoya Murao, M Kuwano, Shuzo Matsubara, Taro Kawai, Jun Kohyama, Atsuhiko Sakai, Berry Juliandi, Shizuo Akira and Takashi Irie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Taito Matsuda

25 papers receiving 804 citations

Author Peers

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

Author Last Decade Papers Cites
Taito Matsuda 466 255 188 152 101 26 814
Martin Hadman 402 0.9× 281 1.1× 258 1.4× 195 1.3× 55 0.5× 15 962
Arifumi Kosakai 423 0.9× 186 0.7× 329 1.8× 258 1.7× 76 0.8× 25 1.0k
Seung‐Wan Yoo 371 0.8× 140 0.5× 101 0.5× 145 1.0× 75 0.7× 21 761
Turhan Coksaygan 270 0.6× 267 1.0× 186 1.0× 120 0.8× 78 0.8× 27 879
Jayshree Samanta 541 1.2× 498 2.0× 170 0.9× 220 1.4× 159 1.6× 15 951
F. Besnard 502 1.1× 213 0.8× 282 1.5× 145 1.0× 66 0.7× 22 894
Sugirthan Sivalingam 244 0.5× 406 1.6× 229 1.2× 152 1.0× 49 0.5× 19 842
Katrina L. Adams 412 0.9× 161 0.6× 256 1.4× 157 1.0× 63 0.6× 14 873
Ilias Kazanis 458 1.0× 416 1.6× 290 1.5× 127 0.8× 101 1.0× 36 991
Wei‐Ming Duan 422 0.9× 192 0.8× 276 1.5× 154 1.0× 39 0.4× 32 870

Countries citing papers authored by Taito Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Taito Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taito Matsuda

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