Takeshi Yabe
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Neurology top 5%
- Physiology top 10%
- Biological Psychiatry top 2%
- Co-authors
- Haruki YamadaJoan P. SchwartzTomomi SanagiTakayuki NagaiNaoki ItoRyota ArakiToshihiko HanawaKinzo Matsumoto
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (20 papers)Stress Responses and Cortisol (14 papers)Tryptophan and brain disorders (13 papers)
- Partner nations
- JapanUnited StatesNorway
In The Last Decade
Takeshi Yabe
77 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 625
- Cellular and Molecular Neuroscience 293
- Neurology 242
- Physiology 242
- Biological Psychiatry 176
Countries citing papers authored by Takeshi Yabe
This map shows the geographic impact of Takeshi Yabe'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 Takeshi Yabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Yabe more than expected).
Fields of papers citing papers by Takeshi Yabe
This network shows the impact of papers produced by Takeshi Yabe. 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 Takeshi Yabe. The network helps show where Takeshi Yabe may publish in the future.
Co-authorship network of co-authors of Takeshi Yabe
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Yabe. A scholar is included among the top collaborators of Takeshi Yabe 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 Takeshi Yabe. Takeshi Yabe 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 | 12 | |
| 3 | 29 | |
| 4 | 2 | |
| 5 | 13 | |
| 6 | 25 | |
| 7 | 98 | |
| 8 | 26 | |
| 9 | 17 | |
| 10 | 79 | |
| 11 | 45 | |
| 12 | 48 | |
| 13 | 56 | |
| 14 | Effects of Hokoei-to (Pu-gong-ying-tang), Kampo formula, on estradiol and progesterone contents in brain regions and serum in ovariectomized mice. | 0 |
| 15 | 24 | |
| 16 | 18 | |
| 17 | 10 | |
| 18 | Effects of Kampo medicines on choline acetyltransferase activity in rat embryo septal cultures | 19 |
| 19 | The toxicology of nebracetam in rats | 0 |
| 20 | 3 |
About Takeshi Yabe
Takeshi Yabe is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Developmental Neuroscience, having authored 79 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (20 papers), Stress Responses and Cortisol (14 papers) and Tryptophan and brain disorders (13 papers). The work is most often cited by research in Biological Psychiatry (176 citations), Behavioral Neuroscience (150 citations) and Developmental Neuroscience (164 citations). Takeshi Yabe has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Haruki Yamada, Joan P. Schwartz, Tomomi Sanagi, Takayuki Nagai, Naoki Ito, Ryota Araki, Toshihiko Hanawa, Kinzo Matsumoto, Tetsuro Oikawa and Hironori Fujiwara. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and 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.