Daisuke Koketsu
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroscience and Neuropharmacology Research
- Nerve injury and regeneration
- Axon Guidance and Neuronal Signaling
Papers in
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- Neuroscience and Neuropharmacology Research 5
- Neuroscience and Neural Engineering 3
- Genetic Neurodegenerative Diseases 2
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- Neurological disorders and treatments 3
- Neuroinflammation and Neurodegeneration Mechanisms 1
- Co-authors
- Tatsuhiro Hisatsune (4 shared papers)Yusei Miyamoto (3 shared papers)Akichika Mikami (1 shared paper)Atsushi Nambu (6 shared papers)Kazukiyo Kobayashi (1 shared paper)Yoshiko Miura (1 shared paper)Masashi Maeda (1 shared paper)Yasuhisa Furuichi (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Experimental Neurology (1 paper)EXPERIMENTAL ANIMALS (1 paper)Nature Communications (1 paper)Neuroscience Research (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Daisuke Koketsu
11 papers receiving 330 citations
Peers
Comparison fields: 5 of 61
- Developmental Neuroscience 153
- Cellular and Molecular Neuroscience 162
- Neurology 51
- Cognitive Neuroscience 89
- Biophysics 14
Countries citing papers authored by Daisuke Koketsu
This map shows the geographic impact of Daisuke Koketsu'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 Koketsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Koketsu more than expected).
Fields of papers citing papers by Daisuke Koketsu
This network shows the impact of papers produced by Daisuke Koketsu. 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 Koketsu. The network helps show where Daisuke Koketsu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Koketsu, 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 | 2003 | 117 | |
| 2 | 2018 | 60 | |
| 3 | 2006 | 49 | |
| 4 | 2007 | 32 | |
| 5 | 2012 | 29 | |
| 6 | 2021 | 16 | |
| 7 | 2002 | 14 | |
| 8 | 2013 | 9 | |
| 9 | 2018 | 8 | |
| 10 | 2022 | 1 | |
| 11 | 2004 | 1 |
About Daisuke Koketsu
Daisuke Koketsu is a scholar working on Cellular and Molecular Neuroscience, Neurology, Cognitive Neuroscience, Developmental Neuroscience and Molecular Biology, having authored 11 papers that have together received 336 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Neural dynamics and brain function (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neuroscience and Neural Engineering (3 papers), Neurological disorders and treatments (3 papers), Genetic Neurodegenerative Diseases (2 papers), Glioma Diagnosis and Treatment (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (153 citations), Cellular and Molecular Neuroscience (162 citations), Neurology (51 citations), Cognitive Neuroscience (89 citations) and Biophysics (14 citations). Daisuke Koketsu has collaborated with scholars based in Japan and United States. Frequent co-authors include Tatsuhiro Hisatsune, Yusei Miyamoto, Akichika Mikami, Atsushi Nambu, Kazukiyo Kobayashi, Yoshiko Miura, Masashi Maeda, Yasuhisa Furuichi, Nobuya Matsuoka and Ken‐ichi Inoue. Their work appears in journals such as Journal of Neuroscience, Experimental Neurology, EXPERIMENTAL ANIMALS, Nature Communications and Neuroscience Research.
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.