Ryuta Koyama
Impact in
- Neurology top 0.1%
- Neuroinflammation and Neurodegeneration Mechanisms
- Developmental Neuroscience top 0.2%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Neurogenesis and neuroplasticity mechanisms 35
- Neurology 39
- Neuroinflammation and Neurodegeneration Mechanisms 38
- Co-authors
- Yuji IkegayaEmily K. LehrmanRyo YamasakiRichard M. RansohoffMichael E. GreenbergDorothy P. SchaferBeth StevensAmanda G. Kautzman
- Journals
- Journal of Pharmacological Sciences (5 papers)Journal of Neuroscience (5 papers)Neuroscience Research (3 papers)Cell Reports (3 papers)Cells (3 papers)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Ryuta Koyama
73 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Neurology 3.0k
- Developmental Neuroscience 1.2k
- Biological Psychiatry 604
- Cellular and Molecular Neuroscience 2.0k
- Behavioral Neuroscience 315
Countries citing papers authored by Ryuta Koyama
This map shows the geographic impact of Ryuta Koyama'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 Ryuta Koyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryuta Koyama more than expected).
Fields of papers citing papers by Ryuta Koyama
This network shows the impact of papers produced by Ryuta Koyama. 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 Ryuta Koyama. The network helps show where Ryuta Koyama may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryuta Koyama, 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 | 11 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 119 | |
| 6 | 2021 | 14 | |
| 7 | 2020 | 4 | |
| 8 | 2020 | 131 | |
| 9 | 2020 | 23 | |
| 10 | 2020 | 36 | |
| 11 | 2019 | 11 | |
| 12 | 2019 | 17 | |
| 13 | 運動は母体炎症後の行動およびシナプス異常を逆転させる【JST・京大機械翻訳】 | 2019 | 9 |
| 14 | 2019 | 3 | |
| 15 | 2018 | 60 | |
| 16 | 2017 | 18 | |
| 17 | Microglia Sculpt Postnatal Neural Circuits in an Activity and Complement-Dependent Manner Hit paper breakdown → | 2012 | 2907 |
| 18 | 2008 | 19 | |
| 19 | 2006 | 15 | |
| 20 | 2003 | 16 |
About Ryuta Koyama
Ryuta Koyama is a scholar working on Developmental Neuroscience, Neurology, Cellular and Molecular Neuroscience, Behavioral Neuroscience and Cognitive Neuroscience, having authored 75 papers that have together received 5.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (38 papers), Neuroscience and Neuropharmacology Research (37 papers), Neurogenesis and neuroplasticity mechanisms (35 papers), Axon Guidance and Neuronal Signaling (11 papers), Nerve injury and regeneration (7 papers), Immune cells in cancer (7 papers), Neonatal and fetal brain pathology (6 papers) and Epilepsy research and treatment (6 papers). The work is most often cited by research in Neurology (3.0k citations), Developmental Neuroscience (1.2k citations), Biological Psychiatry (604 citations), Cellular and Molecular Neuroscience (2.0k citations) and Behavioral Neuroscience (315 citations). Ryuta Koyama has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Yuji Ikegaya, Emily K. Lehrman, Ryo Yamasaki, Richard M. Ransohoff, Michael E. Greenberg, Dorothy P. Schafer, Beth Stevens, Amanda G. Kautzman, Ben A. Barres and Alan R. Mardinly. Their work appears in journals such as Journal of Pharmacological Sciences, Journal of Neuroscience, Neuroscience Research, Cell Reports and Cells.
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.