Daisuke Tsuboi
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
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- Neuroscience and Neuropharmacology Research
- Axon Guidance and Neuronal Signaling
Papers in
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
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- Neuroscience and Neuropharmacology Research 9
- Neurotransmitter Receptor Influence on Behavior 4
- Co-authors
- Kozo KaibuchiShinichiro TayaTakao HikitaKeisuke KurodaHiroshi QadotaTomoyasu ShinodaMutsuki AmanoAkihiro Iwamatsu
- Journals
- Journal of Neurochemistry (3 papers)Journal of Neuroscience (2 papers)Cell Reports (2 papers)Frontiers in Molecular Neuroscience (2 papers)Neuron (2 papers)
- Partner nations
- JapanUnited StatesCzechia
In The Last Decade
Daisuke Tsuboi
28 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 81
- Aging 177
- Cellular and Molecular Neuroscience 422
- Developmental Neuroscience 87
- Cell Biology 325
- Biological Psychiatry 42
Countries citing papers authored by Daisuke Tsuboi
This map shows the geographic impact of Daisuke Tsuboi'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 Tsuboi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Tsuboi more than expected).
Fields of papers citing papers by Daisuke Tsuboi
This network shows the impact of papers produced by Daisuke Tsuboi. 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 Tsuboi. The network helps show where Daisuke Tsuboi may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Tsuboi, 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 | 2024 | 12 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 14 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 8 | |
| 9 | 2019 | 45 | |
| 10 | 2016 | 75 | |
| 11 | 2015 | 53 | |
| 12 | 2013 | 49 | |
| 13 | 2009 | 138 | |
| 14 | 2009 | 24 | |
| 15 | 2007 | 183 | |
| 16 | 2007 | 91 | |
| 17 | 2005 | 28 | |
| 18 | 2005 | 36 | |
| 19 | 2002 | 29 | |
| 20 | 2002 | 104 |
About Daisuke Tsuboi
Daisuke Tsuboi is a scholar working on Aging, Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology and Neurology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Neuroscience and Neuropharmacology Research (9 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Phosphodiesterase function and regulation (6 papers), Ion channel regulation and function (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), 14-3-3 protein interactions (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Aging (177 citations), Cellular and Molecular Neuroscience (422 citations), Developmental Neuroscience (87 citations), Cell Biology (325 citations) and Biological Psychiatry (42 citations). Daisuke Tsuboi has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Kozo Kaibuchi, Shinichiro Taya, Takao Hikita, Keisuke Kuroda, Hiroshi Qadota, Tomoyasu Shinoda, Mutsuki Amano, Akihiro Iwamatsu, Tadaomi Takenawa and Yoji Kawano. Their work appears in journals such as Journal of Neurochemistry, Journal of Neuroscience, Cell Reports, Frontiers in Molecular Neuroscience and Neuron.
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.