Ikuo Tooyama
- Neurology top 0.2%
- Neuroinflammation and Neurodegeneration Mechanisms 33
- Parkinson's Disease Mechanisms and Treatments 22
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms 15
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 43
- Neuropeptides and Animal Physiology 27
- Nerve injury and regeneration 15
- Biological Psychiatry top 2%
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms 33
- Parkinson's Disease Mechanisms and Treatments 22
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- Alzheimer's disease research and treatments 72
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- Fibroblast Growth Factor Research 24
- Co-authors
- Hiroshi KimuraPatrick L. McGeerHaruhiko AkiyamaEdith G. McGeerToshio KawamataDouglas G. WalkerDaijiro YanagisawaTōru Yamada
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Circulation (1 paper)Nature Communications (1 paper)
- Partner nations
- JapanCanadaUnited States
In The Last Decade
Ikuo Tooyama
294 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Neurology 1.8k
- Developmental Neuroscience 684
- Cellular and Molecular Neuroscience 2.2k
- Biological Psychiatry 253
- Neurology 1.4k
Countries citing papers authored by Ikuo Tooyama
This map shows the geographic impact of Ikuo Tooyama'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 Ikuo Tooyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ikuo Tooyama more than expected).
Fields of papers citing papers by Ikuo Tooyama
This network shows the impact of papers produced by Ikuo Tooyama. 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 Ikuo Tooyama. The network helps show where Ikuo Tooyama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ikuo Tooyama, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 2 | |
| 11 | 2017 | 28 | |
| 12 | 2017 | 16 | |
| 13 | 2014 | 26 | |
| 14 | 2011 | 9 | |
| 15 | 2011 | 48 | |
| 16 | 2011 | 29 | |
| 17 | 1998 | 8 | |
| 18 | 1996 | 16 | |
| 19 | 1992 | 61 | |
| 20 | 1991 | 41 |
About Ikuo Tooyama
Ikuo Tooyama is a scholar working on Neurology, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 300 papers that have together received 8.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (72 papers), Neuroscience and Neuropharmacology Research (43 papers), Neuroinflammation and Neurodegeneration Mechanisms (33 papers), Neuropeptides and Animal Physiology (27 papers), Fibroblast Growth Factor Research (24 papers), Parkinson's Disease Mechanisms and Treatments (22 papers), Nerve injury and regeneration (15 papers) and Neurogenesis and neuroplasticity mechanisms (15 papers). The work is most often cited by research in Neurology (1.8k citations), Developmental Neuroscience (684 citations) and Cellular and Molecular Neuroscience (2.2k citations). Ikuo Tooyama has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Hiroshi Kimura, Patrick L. McGeer, Haruhiko Akiyama, Edith G. McGeer, Toshio Kawamata, Douglas G. Walker, Daijiro Yanagisawa, Tōru Yamada, Essam M. Abdelalim and Osamu Yasuhara. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.
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.