Taisuke Tomita
- Physiology top 0.05%
- Alzheimer's disease research and treatments 122
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms 18
- Parkinson's Disease Mechanisms and Treatments 16
- Cellular and Molecular Neuroscience top 0.5%
- Pharmacology top 0.2%
- Cholinesterase and Neurodegenerative Diseases 44
- Biological Psychiatry top 1%
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- Cellular transport and secretion 40
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- Chemical Synthesis and Analysis 17
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- Computational Drug Discovery Methods 16
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- Click Chemistry and Applications 12
- Co-authors
- Takeshi IwatsuboSangram S. SisodiaHelen HsiehRoberto MalinowChihiro SatoYuichi MorohashiDavid BorcheltNobumasa Takasugi
- Journals
- Nature (4 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of the American Chemical Society (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Taisuke Tomita
211 papers receiving 13.7k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Physiology 8.6k
- Neurology 1.5k
- Cellular and Molecular Neuroscience 3.3k
- Pharmacology 2.4k
- Biological Psychiatry 321
Countries citing papers authored by Taisuke Tomita
This map shows the geographic impact of Taisuke Tomita'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 Taisuke Tomita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taisuke Tomita more than expected).
Fields of papers citing papers by Taisuke Tomita
This network shows the impact of papers produced by Taisuke Tomita. 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 Taisuke Tomita. The network helps show where Taisuke Tomita may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Taisuke Tomita, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 32 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 13 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 6 | |
| 15 | 2020 | 22 | |
| 16 | 2019 | 29 | |
| 17 | 2019 | 33 | |
| 18 | 2010 | 52 | |
| 19 | 2004 | 43 | |
| 20 | 1991 | 73 |
About Taisuke Tomita
Taisuke Tomita is a scholar working on Physiology, Cell Biology and Neurology, having authored 218 papers that have together received 13.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (122 papers), Cholinesterase and Neurodegenerative Diseases (44 papers), Cellular transport and secretion (40 papers), Neuroinflammation and Neurodegeneration Mechanisms (18 papers), Chemical Synthesis and Analysis (17 papers), Computational Drug Discovery Methods (16 papers), Parkinson's Disease Mechanisms and Treatments (16 papers) and Click Chemistry and Applications (12 papers). The work is most often cited by research in Physiology (8.6k citations), Neurology (1.5k citations) and Cellular and Molecular Neuroscience (3.3k citations). Taisuke Tomita has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takeshi Iwatsubo, Sangram S. Sisodia, Helen Hsieh, Roberto Malinow, Chihiro Sato, Yuichi Morohashi, David Borchelt, Nobumasa Takasugi, Guy R. Seabrook and Gopal Thinakaran. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.