Masahiro Okamoto
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms 13
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol 8
- Biological Psychiatry top 5%
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- Neuroscience and Neuropharmacology Research 15
- Neurology top 5%
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- Rice Cultivation and Yield Improvement 10
- GABA and Rice Research 10
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- Rheumatoid Arthritis Research and Therapies 10
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- Neural dynamics and brain function 7
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- Adipose Tissue and Metabolism 7
Masahiro Okamoto
127 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 139
- Developmental Neuroscience 375
- Behavioral Neuroscience 241
- Biological Psychiatry 121
- Cellular and Molecular Neuroscience 766
- Neurology 237
Countries citing papers authored by Masahiro Okamoto
This map shows the geographic impact of Masahiro Okamoto'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 Masahiro Okamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiro Okamoto more than expected).
Fields of papers citing papers by Masahiro Okamoto
This network shows the impact of papers produced by Masahiro Okamoto. 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 Masahiro Okamoto. The network helps show where Masahiro Okamoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masahiro Okamoto, 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 | 2023 | 2 | |
| 3 | 2020 | 9 | |
| 4 | 2018 | 9 | |
| 5 | 2018 | 48 | |
| 6 | 2017 | 91 | |
| 7 | Invite Review : Brain Activation via Exercise: Exercise conditions Leading to neuronal activation & hippocampal neurogenesis | 2011 | 2 |
| 8 | 2007 | 14 | |
| 9 | 2003 | 67 | |
| 10 | The Effect of Steam Treatment and Ammonia Treatment of Rice Straw on Voluntary Intake and Digestibility in Sheep. | 1999 | 1 |
| 11 | Influence of Cultivation Regions on Chemical Contents of Rice Kernel and Stickiness of Cooked Rice | 1994 | 1 |
| 12 | Improvement of Nutritive Value of Cereal Straw by Solid State Fermentation Using Pleurotus Ostreatus | 1991 | 2 |
| 13 | 1991 | 0 | |
| 14 | 1991 | 8 | |
| 15 | A High Yielding Indica-Japonica-Hybrid Rice Variety "Hoshiyutaka" | 1989 | 3 |
| 16 | 1989 | 0 | |
| 17 | 1989 | 1 | |
| 18 | 1989 | 4 | |
| 19 | 1988 | 1 | |
| 20 | 1972 | 2 |
About Masahiro Okamoto
Masahiro Okamoto is a scholar working on Developmental Neuroscience, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 136 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Neurogenesis and neuroplasticity mechanisms (13 papers), Rice Cultivation and Yield Improvement (10 papers), Rheumatoid Arthritis Research and Therapies (10 papers), GABA and Rice Research (10 papers), Stress Responses and Cortisol (8 papers), Neural dynamics and brain function (7 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Developmental Neuroscience (375 citations), Behavioral Neuroscience (241 citations) and Biological Psychiatry (121 citations). Masahiro Okamoto has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Hideaki Soya, Takashi Matsui, Koshiro Inoue, Keiko Sato, Min Chul Lee, Bruce S. McEwen, Y Nimura, Hiroshi Sakakibara, Kunio Miyatake and Naokazu Kinoshita. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.
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.