Ryo Ito
Impact in
- Neurology top 10%
- Barrier Structure and Function Studies
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- Diabetes Treatment and Management
Papers in
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- Receptor Mechanisms and Signaling 3
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- Barrier Structure and Function Studies 4
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- Tomomi Furihata (7 shared papers)Kan Chiba (3 shared papers)Kosuke Saito (3 shared papers)Yoshiyuki Tsujihata (3 shared papers)Hidetaka Akita (4 shared papers)Shota Suzuki (3 shared papers)Yoshiyuki Yamaura (4 shared papers)Takafumi Komori (4 shared papers)
- Journals
- Neuro-Oncology (2 papers)Journal of Medicinal Chemistry (2 papers)Molecular Pharmaceutics (2 papers)PLoS ONE (1 paper)Fluids and Barriers of the CNS (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Ryo Ito
20 papers receiving 332 citations
Peers
Comparison fields: 5 of 76
- Neurology 104
- Endocrinology, Diabetes and Metabolism 65
- Developmental Neuroscience 12
- Cellular and Molecular Neuroscience 50
- Molecular Biology 139
Countries citing papers authored by Ryo Ito
This map shows the geographic impact of Ryo Ito'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 Ryo Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryo Ito more than expected).
Fields of papers citing papers by Ryo Ito
This network shows the impact of papers produced by Ryo Ito. 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 Ryo Ito. The network helps show where Ryo Ito may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryo Ito, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 59 | |
| 2 | 2012 | 47 | |
| 3 | 2019 | 44 | |
| 4 | 2015 | 41 | |
| 5 | 2015 | 36 | |
| 6 | 2021 | 21 | |
| 7 | 2019 | 19 | |
| 8 | 2018 | 13 | |
| 9 | 2013 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2020 | 4 | |
| 15 | 2014 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2008 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2014 | 1 | |
| 20 | 2006 | 1 |
About Ryo Ito
Ryo Ito is a scholar working on Molecular Biology, Neurology, Computational Mechanics, Cellular and Molecular Neuroscience and Materials Chemistry, having authored 21 papers that have together received 337 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Barrier Structure and Function Studies (4 papers), Fluid Dynamics Simulations and Interactions (3 papers), Receptor Mechanisms and Signaling (3 papers), Diabetes Treatment and Management (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and High-Velocity Impact and Material Behavior (2 papers). The work is most often cited by research in Neurology (104 citations), Endocrinology, Diabetes and Metabolism (65 citations), Developmental Neuroscience (12 citations), Cellular and Molecular Neuroscience (50 citations) and Molecular Biology (139 citations). Ryo Ito has collaborated with scholars based in Japan and United States. Frequent co-authors include Tomomi Furihata, Kan Chiba, Kosuke Saito, Yoshiyuki Tsujihata, Hidetaka Akita, Shota Suzuki, Yoshiyuki Yamaura, Takafumi Komori, Jun‐ichi Miyazaki and Nobuhiro Suzuki. Their work appears in journals such as Neuro-Oncology, Journal of Medicinal Chemistry, Molecular Pharmaceutics, PLoS ONE and Fluids and Barriers of the CNS.
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.