Toshihide Kuroki
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Psychiatry and Mental health top 5%
- Cognitive Neuroscience top 5%
- Clinical Psychology top 10%
- Co-authors
- Junji IchikawaHerbert Y. MeltzerShigenobu KanbaHideyuki UchimuraTakeshi KawaharaTatsuo NakaharaNobutada TashiroJin Dai
- Topics
- Neurotransmitter Receptor Influence on Behavior (16 papers)Receptor Mechanisms and Signaling (10 papers)Neuroscience and Neuropharmacology Research (9 papers)
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Toshihide Kuroki
46 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 75
- Cellular and Molecular Neuroscience 762
- Molecular Biology 411
- Psychiatry and Mental health 333
- Cognitive Neuroscience 323
- Clinical Psychology 233
Countries citing papers authored by Toshihide Kuroki
This map shows the geographic impact of Toshihide Kuroki'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 Toshihide Kuroki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshihide Kuroki more than expected).
Fields of papers citing papers by Toshihide Kuroki
This network shows the impact of papers produced by Toshihide Kuroki. 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 Toshihide Kuroki. The network helps show where Toshihide Kuroki may publish in the future.
Co-authorship network of co-authors of Toshihide Kuroki
This figure shows the co-authorship network connecting the top 25 collaborators of Toshihide Kuroki. A scholar is included among the top collaborators of Toshihide Kuroki 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 Toshihide Kuroki. Toshihide Kuroki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 25 | |
| 3 | Pharmacological basis for the neurocognitive effect of atypical antipsychotic drugs | 1 |
| 4 | 3 | |
| 5 | 57 | |
| 6 | 112 | |
| 7 | 25 | |
| 8 | 14 | |
| 9 | 5 | |
| 10 | 26 | |
| 11 | 16 | |
| 12 | 106 | |
| 13 | 77 | |
| 14 | 25 | |
| 15 | 48 | |
| 16 | 67 | |
| 17 | 4 | |
| 18 | 10 | |
| 19 | 19 | |
| 20 | 21 |
About Toshihide Kuroki
Toshihide Kuroki is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Psychiatry and Mental health, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (16 papers), Receptor Mechanisms and Signaling (10 papers) and Neuroscience and Neuropharmacology Research (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (762 citations), Biological Psychiatry (84 citations) and Psychiatry and Mental health (333 citations). Toshihide Kuroki has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Junji Ichikawa, Herbert Y. Meltzer, Herbert Y. Meltzer, Shigenobu Kanba, Hideyuki Uchimura, Takeshi Kawahara, Tatsuo Nakahara, Nobutada Tashiro, Jin Dai and Makoto Hirano. Their work appears in journals such as Journal of Neuroscience, Brain Research and Journal of Neurochemistry.
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.