Keisuke Noto
Impact in
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- Amino Acid Enzymes and Metabolism
Papers in
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- Electroconvulsive Therapy Studies 4
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- RNA and protein synthesis mechanisms 4
- Genomics and Phylogenetic Studies 4
- Co-authors
- Charles Elkan (1 shared paper)Milton H. Saier (1 shared paper)Ming Ren Yen (1 shared paper)Dorjee G. Tamang (1 shared paper)Toshio Shimizu (3 shared papers)Masafumi Arai (3 shared papers)Akihito Suzuki (17 shared papers)Koichi Otani (10 shared papers)
- Journals
- Proceedings Genome Informatics Workshop/Genome informatics (2 papers)Brain and Behavior (2 papers)Nucleic Acids Research (1 paper)Journal of Affective Disorders (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Keisuke Noto
22 papers receiving 439 citations
Peers
Comparison fields: 5 of 89
- Biochemistry 34
- Molecular Medicine 20
- Molecular Biology 228
- Genetics 52
- Clinical Biochemistry 12
Countries citing papers authored by Keisuke Noto
This map shows the geographic impact of Keisuke Noto'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 Keisuke Noto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Noto more than expected).
Fields of papers citing papers by Keisuke Noto
This network shows the impact of papers produced by Keisuke Noto. 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 Keisuke Noto. The network helps show where Keisuke Noto may publish in the future.
Co-authors
The 25 scholars most cited alongside Keisuke Noto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 331 | |
| 2 | 2004 | 34 | |
| 3 | 2019 | 17 | |
| 4 | 2022 | 8 | |
| 5 | 2021 | 6 | |
| 6 | 2019 | 6 | |
| 7 | 2018 | 5 | |
| 8 | 2018 | 5 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2020 | 3 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2003 | 1 | |
| 19 | 2001 | 1 | |
| 20 | 2025 | 1 |
About Keisuke Noto
Keisuke Noto is a scholar working on Psychiatry and Mental health, Molecular Biology, Clinical Psychology, Pharmacology and Neurology, having authored 26 papers that have together received 444 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Genomics and Phylogenetic Studies (4 papers), Electroconvulsive Therapy Studies (4 papers), Treatment of Major Depression (3 papers), Folate and B Vitamins Research (1 paper), Nausea and vomiting management (1 paper), Antifungal resistance and susceptibility (1 paper) and Neuroendocrine regulation and behavior (1 paper). The work is most often cited by research in Biochemistry (34 citations), Molecular Medicine (20 citations), Molecular Biology (228 citations), Genetics (52 citations) and Clinical Biochemistry (12 citations). Keisuke Noto has collaborated with scholars based in Japan and United States. Frequent co-authors include Charles Elkan, Milton H. Saier, Ming Ren Yen, Dorjee G. Tamang, Toshio Shimizu, Masafumi Arai, Akihito Suzuki, Koichi Otani, Yoshihiko Matsumoto and Atsushi Hirata. Their work appears in journals such as Proceedings Genome Informatics Workshop/Genome informatics, Brain and Behavior, Nucleic Acids Research, Journal of Affective Disorders and Journal of Molecular Biology.
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.