Makoto Tsuda
- Physiology top 0.05%
- Cellular and Molecular Neuroscience top 0.1%
- Neurology top 0.05%
- Physiology top 0.01%
- Molecular Biology top 2%
- Co-authors
- Kazuhide InoueHidetoshi Tozaki‐SaitohMichael W. SalterSchuichi KoizumiYukari Shigemoto‐MogamiShinichi KohsakaTakahiro MasudaMelvin T. Tyree
- Topics
- Pain Mechanisms and Treatments (117 papers)Adenosine and Purinergic Signaling (72 papers)Neuroinflammation and Neurodegeneration Mechanisms (46 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Makoto Tsuda
270 papers receiving 15.5k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Physiology 8.0k
- Cellular and Molecular Neuroscience 5.9k
- Neurology 4.0k
- Physiology 3.7k
- Molecular Biology 3.5k
Countries citing papers authored by Makoto Tsuda
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 13 | |
| 9 | A spinal microglia population involved in remitting and relapsing neuropathic painbreakdown → | 147 |
| 10 | 35 | |
| 11 | 131 | |
| 12 | 21 | |
| 13 | [Mechanisms underlying the pathogenesis of neuropathic pain revealing by the role of glial cells]. | 7 |
| 14 | MgB 2 およびYBCO導体を用いたSMES磁石巻線の最適形態比較 | 1 |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 20 | |
| 18 | 20 | |
| 19 | Vessel Length Distribution in Crop Plants : Corn, Soybean and Tomato | 2 |
| 20 | 1 |
About Makoto Tsuda
Makoto Tsuda is a scholar working on Physiology, Neurology and Cellular and Molecular Neuroscience, having authored 281 papers that have together received 15.7k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (117 papers), Adenosine and Purinergic Signaling (72 papers) and Neuroinflammation and Neurodegeneration Mechanisms (46 papers). The work is most often cited by research in Physiology (3.7k citations), Neurology (4.0k citations) and Cellular and Molecular Neuroscience (5.9k citations). Makoto Tsuda has collaborated with scholars based in Japan, United States and Canada. Frequent 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. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.