Kazuhiro Takuma
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 2%
- Cognitive Neuroscience top 2%
- Physiology top 2%
- Neurology top 0.5%
- Co-authors
- Toshio MatsudaYukio AgoAkemichi BabaKiyofumi YamadaHiroyuki MizoguchiTaku NagaiToshitaka NabeshimaDaisuke Ibi
- Topics
- Neuroscience and Neuropharmacology Research (49 papers)Receptor Mechanisms and Signaling (31 papers)Neurotransmitter Receptor Influence on Behavior (28 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Kazuhiro Takuma
155 papers receiving 6.6k citations
Peers
Comparison fields: 5 of 123
- Cellular and Molecular Neuroscience 2.8k
- Molecular Biology 2.7k
- Cognitive Neuroscience 1.2k
- Physiology 1.1k
- Neurology 877
Countries citing papers authored by Kazuhiro Takuma
This map shows the geographic impact of Kazuhiro Takuma'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 Kazuhiro Takuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhiro Takuma more than expected).
Fields of papers citing papers by Kazuhiro Takuma
This network shows the impact of papers produced by Kazuhiro Takuma. 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 Kazuhiro Takuma. The network helps show where Kazuhiro Takuma may publish in the future.
Co-authorship network of co-authors of Kazuhiro Takuma
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhiro Takuma. A scholar is included among the top collaborators of Kazuhiro Takuma 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 Kazuhiro Takuma. Kazuhiro Takuma 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 | 0 | |
| 3 | 3 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 72 | |
| 7 | 12 | |
| 8 | 15 | |
| 9 | 23 | |
| 10 | 16 | |
| 11 | 23 | |
| 12 | 82 | |
| 13 | 24 | |
| 14 | 38 | |
| 15 | 250 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 16 | |
| 19 | 1 | |
| 20 | 2 |
About Kazuhiro Takuma
Kazuhiro Takuma is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 159 papers that have together received 6.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (49 papers), Receptor Mechanisms and Signaling (31 papers) and Neurotransmitter Receptor Influence on Behavior (28 papers). The work is most often cited by research in Biological Psychiatry (649 citations), Behavioral Neuroscience (769 citations) and Cellular and Molecular Neuroscience (2.8k citations). Kazuhiro Takuma has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Toshio Matsuda, Yukio Ago, Akemichi Baba, Kiyofumi Yamada, Hiroyuki Mizoguchi, Taku Nagai, Toshitaka Nabeshima, Daisuke Ibi, Hitoshi Hashimoto and Hiroyuki Kamei. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.