Toshitaka Nabeshima
- Cellular and Molecular Neuroscience top 0.05%
- Molecular Biology top 0.5%
- Physiology top 0.2%
- Pharmacology top 0.1%
- Biological Psychiatry top 0.02%
- Co-authors
- Kiyofumi YamadaYukihiro NodaTsutomu KameyamaAtsumi NittaTaku NagaiTakaaki HasegawaAkihiro MouriHiroyuki Mizoguchi
- Topics
- Neuroscience and Neuropharmacology Research (250 papers)Neurotransmitter Receptor Influence on Behavior (157 papers)Receptor Mechanisms and Signaling (147 papers)
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Toshitaka Nabeshima
774 papers receiving 24.5k citations
Peers
Comparison fields: 5 of 170
- Cellular and Molecular Neuroscience 11.3k
- Molecular Biology 9.3k
- Physiology 5.2k
- Pharmacology 3.0k
- Biological Psychiatry 3.0k
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 of co-authors of Toshitaka Nabeshima
This figure shows the co-authorship network connecting the top 25 collaborators of Toshitaka Nabeshima. A scholar is included among the top collaborators of Toshitaka Nabeshima based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Toshitaka Nabeshima. Toshitaka Nabeshima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 21 | |
| 5 | 10 | |
| 6 | 17 | |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 82 | |
| 10 | 23 | |
| 11 | 83 | |
| 12 | 10 | |
| 13 | 227 | |
| 14 | 0 | |
| 15 | 15 | |
| 16 | 47 | |
| 17 | 39 | |
| 18 | 2 | |
| 19 | Effect of tooth loss on spatial learning and memory abilities in adult rats: Implications for central acetylcholine | 2 |
| 20 | Cross sensitization between phencyclidine and methamphetamine. II: Repeated administration of methamphetamine at a high dose | 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) and Receptor Mechanisms and Signaling (147 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. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.