Daisuke Noto
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Immunology 10
- Immune Cell Function and Interaction 4
- Inflammation biomarkers and pathways 3
- T-cell and B-cell Immunology 3
- Immune cells in cancer 3
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- Systemic Lupus Erythematosus Research 5
- Co-authors
- Sachiko Miyake (15 shared papers)Miho Mizuno (4 shared papers)Asako Chiba (6 shared papers)Yasunobu Hoshino (3 shared papers)Naoko Kaga (1 shared paper)Tong Chen (1 shared paper)Goh Murayama (4 shared papers)Naoto Tamura (2 shared papers)
- Journals
- Journal of Neuroinflammation (3 papers)Frontiers in Immunology (2 papers)Scientific Reports (1 paper)European Journal of Neuroscience (1 paper)Journal of the American Heart Association (1 paper)
- Partner nations
- Japan
In The Last Decade
Daisuke Noto
20 papers receiving 633 citations
Peers
Comparison fields: 5 of 70
- Biological Psychiatry 109
- Neurology 108
- Gastroenterology 53
- Immunology 187
- Developmental Neuroscience 24
Countries citing papers authored by Daisuke Noto
This map shows the geographic impact of Daisuke 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 Daisuke Noto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Noto more than expected).
Fields of papers citing papers by Daisuke Noto
This network shows the impact of papers produced by Daisuke 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 Daisuke Noto. The network helps show where Daisuke Noto may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 174 | |
| 2 | 2019 | 162 | |
| 3 | 2019 | 69 | |
| 4 | 2020 | 48 | |
| 5 | 2017 | 31 | |
| 6 | 2009 | 21 | |
| 7 | 2019 | 20 | |
| 8 | 2022 | 20 | |
| 9 | 2021 | 17 | |
| 10 | 2013 | 16 | |
| 11 | 2022 | 14 | |
| 12 | 2010 | 14 | |
| 13 | 2023 | 10 | |
| 14 | 2009 | 7 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2016 | 2 | |
| 18 | 2012 | 2 | |
| 19 | 2021 | 1 | |
| 20 | 2020 | 1 |
About Daisuke Noto
Daisuke Noto is a scholar working on Immunology, Rheumatology, Neurology, Molecular Biology and Pathology and Forensic Medicine, having authored 20 papers that have together received 636 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Systemic Lupus Erythematosus Research (5 papers), Immune Cell Function and Interaction (4 papers), Multiple Sclerosis Research Studies (4 papers), Inflammation biomarkers and pathways (3 papers), T-cell and B-cell Immunology (3 papers), Gut microbiota and health (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Biological Psychiatry (109 citations), Neurology (108 citations), Gastroenterology (53 citations), Immunology (187 citations) and Developmental Neuroscience (24 citations). Daisuke Noto has collaborated with scholars based in Japan. Frequent co-authors include Sachiko Miyake, Miho Mizuno, Asako Chiba, Yasunobu Hoshino, Naoko Kaga, Tong Chen, Goh Murayama, Naoto Tamura, Ken Yamaji and Takashi Yamamura. Their work appears in journals such as Journal of Neuroinflammation, Frontiers in Immunology, Scientific Reports, European Journal of Neuroscience and Journal of the American Heart Association.
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.