Toshitaka Nabeshima
- Biological Psychiatry top 0.02%
- Tryptophan and brain disorders 83
- Behavioral Neuroscience top 0.1%
- Stress Responses and Cortisol 60
- Cellular and Molecular Neuroscience top 0.05%
- Neuroscience and Neuropharmacology Research 250
- Neurotransmitter Receptor Influence on Behavior 157
- Neuropeptides and Animal Physiology 90
- Developmental Neuroscience top 0.1%
- Neurology top 0.1%
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- Receptor Mechanisms and Signaling 147
- Pharmacological Receptor Mechanisms and Effects 68
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- Memory and Neural Mechanisms 85
Toshitaka Nabeshima
774 papers receiving 24.5k citations
Peers
Comparison fields: 5 of 170
- Biological Psychiatry 3.0k
- Behavioral Neuroscience 2.3k
- Cellular and Molecular Neuroscience 11.3k
- Developmental Neuroscience 1.6k
- Neurology 2.8k
Countries citing papers authored by Toshitaka Nabeshima
This map shows the geographic impact of Toshitaka Nabeshima'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 Toshitaka Nabeshima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshitaka Nabeshima more than expected).
Fields of papers citing papers by Toshitaka Nabeshima
This network shows the impact of papers produced by Toshitaka Nabeshima. 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 Toshitaka Nabeshima. The network helps show where Toshitaka Nabeshima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Toshitaka Nabeshima, 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 | 2024 | 4 | |
| 3 | 2021 | 8 | |
| 4 | 2021 | 21 | |
| 5 | 2019 | 10 | |
| 6 | 2018 | 17 | |
| 7 | 2018 | 11 | |
| 8 | 2018 | 11 | |
| 9 | 2017 | 82 | |
| 10 | 2017 | 23 | |
| 11 | 2017 | 83 | |
| 12 | 2017 | 10 | |
| 13 | 2013 | 227 | |
| 14 | 2005 | 0 | |
| 15 | 2003 | 15 | |
| 16 | 2003 | 47 | |
| 17 | 1998 | 39 | |
| 18 | 1998 | 2 | |
| 19 | Effect of tooth loss on spatial learning and memory abilities in adult rats: Implications for central acetylcholine | 1995 | 2 |
| 20 | Cross sensitization between phencyclidine and methamphetamine. II: Repeated administration of methamphetamine at a high dose | 1989 | 3 |
About Toshitaka Nabeshima
Toshitaka Nabeshima is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 790 papers that have together received 25.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (250 papers), Neurotransmitter Receptor Influence on Behavior (157 papers), Receptor Mechanisms and Signaling (147 papers), Neuropeptides and Animal Physiology (90 papers), Memory and Neural Mechanisms (85 papers), Tryptophan and brain disorders (83 papers), Pharmacological Receptor Mechanisms and Effects (68 papers) and Stress Responses and Cortisol (60 papers). The work is most often cited by research in Biological Psychiatry (3.0k citations), Behavioral Neuroscience (2.3k citations) and Cellular and Molecular Neuroscience (11.3k citations). Toshitaka Nabeshima has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Kiyofumi Yamada, Yukihiro Noda, Tsutomu Kameyama, Atsumi Nitta, Taku Nagai, Takaaki Hasegawa, Akihiro Mouri, Hiroyuki Mizoguchi, Takayoshi Mamiya and Hyoung‐Chun Kim.
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.