Kenkichi Takase
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Behavioral Neuroscience top 2%
- Social Psychology top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Dai MitsushimaFukuko KimuraToshiya FunabashiHiromasa FunatoMasaru KurodaSatoko OdaYousuke TsuneokaTatsurou Yagami
- Topics
- Stress Responses and Cortisol (9 papers)Neuroscience and Neuropharmacology Research (8 papers)Neuroendocrine regulation and behavior (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationJournal of Neuroscience
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Kenkichi Takase
29 papers receiving 752 citations
Peers
Comparison fields: 5 of 90
- Cellular and Molecular Neuroscience 218
- Molecular Biology 208
- Behavioral Neuroscience 205
- Social Psychology 177
- Cognitive Neuroscience 160
Countries citing papers authored by Kenkichi Takase
This map shows the geographic impact of Kenkichi Takase'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 Kenkichi Takase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenkichi Takase more than expected).
Fields of papers citing papers by Kenkichi Takase
This network shows the impact of papers produced by Kenkichi Takase. 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 Kenkichi Takase. The network helps show where Kenkichi Takase may publish in the future.
Co-authorship network of co-authors of Kenkichi Takase
This figure shows the co-authorship network connecting the top 25 collaborators of Kenkichi Takase. A scholar is included among the top collaborators of Kenkichi Takase 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 Kenkichi Takase. Kenkichi Takase is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 12 | |
| 5 | 41 | |
| 6 | 33 | |
| 7 | 28 | |
| 8 | 26 | |
| 9 | 25 | |
| 10 | 19 | |
| 11 | 15 | |
| 12 | 41 | |
| 13 | 36 | |
| 14 | 32 | |
| 15 | 31 | |
| 16 | 46 | |
| 17 | 3 | |
| 18 | 26 | |
| 19 | 97 | |
| 20 | 1 |
About Kenkichi Takase
Kenkichi Takase is a scholar working on Behavioral Neuroscience, Developmental Neuroscience and Endocrine and Autonomic Systems, having authored 30 papers that have together received 762 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neuroendocrine regulation and behavior (8 papers). The work is most often cited by research in Behavioral Neuroscience (205 citations), Biological Psychiatry (61 citations) and Endocrine and Autonomic Systems (125 citations). Kenkichi Takase has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Dai Mitsushima, Fukuko Kimura, Toshiya Funabashi, Hiromasa Funato, Masaru Kuroda, Satoko Oda, Yousuke Tsuneoka, Tatsurou Yagami, Kaori Yamada and Yasuhiro Yamamoto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation 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.