Makoto Tsuda

465 total papers · 20.3k total citations
279 papers, 15.7k citations indexed

About

Makoto Tsuda is a scholar working on Physiology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Makoto Tsuda has authored 279 papers receiving a total of 15.7k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Physiology, 100 papers in Cellular and Molecular Neuroscience and 72 papers in Physiology. Recurrent topics in Makoto Tsuda's work include Pain Mechanisms and Treatments (117 papers), Adenosine and Purinergic Signaling (72 papers) and Neuropeptides and Animal Physiology (46 papers). Makoto Tsuda is often cited by papers focused on Pain Mechanisms and Treatments (117 papers), Adenosine and Purinergic Signaling (72 papers) and Neuropeptides and Animal Physiology (46 papers). Makoto Tsuda collaborates with scholars based in Japan, United States and Canada. Makoto Tsuda's co-authors include Kazuhide Inoue, Hidetoshi Tozaki‐Saitoh, Michael W. Salter, Schuichi Koizumi, Yukari Shigemoto‐Mogami, Shinichi Kohsaka, Takahiro Masuda, Melvin T. Tyree, Simon Beggs and Claude Gravel and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Makoto Tsuda

270 papers receiving 15.4k citations

Hit Papers

BDNF from microglia cause... 2003 2026 2010 2018 2005 2003 2004 2007 2018 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Makoto Tsuda 8.0k 5.9k 4.0k 3.7k 3.5k 279 15.7k
Kazuhide Inoue 8.6k 1.1× 6.9k 1.2× 6.4k 1.6× 6.1k 1.6× 4.8k 1.4× 292 19.9k
Michael W. Salter 11.0k 1.4× 12.3k 2.1× 4.7k 1.2× 2.1k 0.6× 9.4k 2.7× 180 25.0k
Shinichi Kohsaka 4.3k 0.5× 6.0k 1.0× 9.8k 2.5× 2.8k 0.8× 5.8k 1.7× 251 20.1k
Schuichi Koizumi 2.9k 0.4× 3.0k 0.5× 3.4k 0.9× 2.5k 0.7× 2.6k 0.8× 179 9.5k
Long‐Jun Wu 3.8k 0.5× 4.9k 0.8× 4.9k 1.2× 765 0.2× 3.8k 1.1× 211 13.0k
John N. Wood 11.3k 1.4× 8.3k 1.4× 828 0.2× 1.3k 0.4× 12.1k 3.5× 252 22.6k
Stephen D. Skaper 2.5k 0.3× 6.2k 1.1× 2.2k 0.6× 901 0.2× 5.5k 1.6× 277 15.3k
Koichi Noguchi 7.4k 0.9× 5.7k 1.0× 821 0.2× 829 0.2× 2.9k 0.8× 196 12.4k
Marzia Malcangio 6.7k 0.8× 5.0k 0.8× 1.4k 0.3× 504 0.1× 2.5k 0.7× 150 11.4k
Carlos Matute 2.0k 0.2× 5.4k 0.9× 4.2k 1.1× 1.5k 0.4× 4.1k 1.2× 245 13.1k

Countries citing papers authored by Makoto Tsuda

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Tsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Tsuda

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