Daisuke Ino
Impact in
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- Photoreceptor and optogenetics research
- Nerve injury and regeneration
- Neuroscience and Neural Engineering
Papers in
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- Mitochondrial Function and Pathology 2
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- Hearing, Cochlea, Tinnitus, Genetics 4
- Co-authors
- Masamitsu Iino (3 shared papers)K. Watanabe (6 shared papers)Yoshiyasu Matsumoto (6 shared papers)Masaaki Nishiyama (4 shared papers)N. Takagi (4 shared papers)Hiroshi Hibino (7 shared papers)Maki Kawai (2 shared papers)Taro Yamada (2 shared papers)
- Journals
- Cell Reports (2 papers)PLoS ONE (2 papers)Physical Review B (2 papers)Nature Communications (1 paper)Nature Methods (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Daisuke Ino
22 papers receiving 367 citations
Peers
Comparison fields: 5 of 83
- Cellular and Molecular Neuroscience 81
- Endocrine and Autonomic Systems 21
- Developmental Neuroscience 12
- Renewable Energy, Sustainability and the Environment 48
- Sensory Systems 12
Countries citing papers authored by Daisuke Ino
This map shows the geographic impact of Daisuke Ino'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 Ino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Ino more than expected).
Fields of papers citing papers by Daisuke Ino
This network shows the impact of papers produced by Daisuke Ino. 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 Ino. The network helps show where Daisuke Ino may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Ino, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 51 | |
| 2 | 2017 | 43 | |
| 3 | 2015 | 40 | |
| 4 | 2016 | 35 | |
| 5 | 2021 | 34 | |
| 6 | 2005 | 30 | |
| 7 | 2005 | 22 | |
| 8 | 2008 | 18 | |
| 9 | 2019 | 15 | |
| 10 | 2007 | 14 | |
| 11 | 2002 | 13 | |
| 12 | 2006 | 9 | |
| 13 | 2020 | 8 | |
| 14 | 2003 | 8 | |
| 15 | 2011 | 8 | |
| 16 | 2021 | 6 | |
| 17 | 2021 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2016 | 2 | |
| 20 | 2024 | 2 |
About Daisuke Ino
Daisuke Ino is a scholar working on Molecular Biology, Sensory Systems, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Social Psychology, having authored 24 papers that have together received 368 indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (4 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers), Molecular Junctions and Nanostructures (4 papers), Neuroscience and Neuropharmacology Research (2 papers), Graphene research and applications (2 papers), TiO2 Photocatalysis and Solar Cells (2 papers), Mitochondrial Function and Pathology (2 papers) and Photochemistry and Electron Transfer Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (81 citations), Endocrine and Autonomic Systems (21 citations), Developmental Neuroscience (12 citations), Renewable Energy, Sustainability and the Environment (48 citations) and Sensory Systems (12 citations). Daisuke Ino has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masamitsu Iino, K. Watanabe, Yoshiyasu Matsumoto, Masaaki Nishiyama, N. Takagi, Hiroshi Hibino, Maki Kawai, Taro Yamada, Yohei Okubo and Hiroshi Sagara. Their work appears in journals such as Cell Reports, PLoS ONE, Physical Review B, Nature Communications and Nature Methods.
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.