Tsuyoshi Koide
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
- Developmental Biology top 5%
Papers in
-
- Epigenetics and DNA Methylation 6
- Receptor Mechanisms and Signaling 5
- Genetics 29
- Genetic Mapping and Diversity in Plants and Animals 14
- Co-authors
- Toshihiko Shiroishi (31 shared papers)Aki Takahashi (20 shared papers)Osamu Gotoh (2 shared papers)Kintomo Takakura (2 shared papers)Takao Asano (1 shared paper)Kazuo Moriwaki (8 shared papers)M. Azim Surani (2 shared papers)Justin Ainscough (2 shared papers)
- Journals
- Mammalian Genome (8 papers)Genomics (5 papers)Genes Brain & Behavior (4 papers)PLoS ONE (4 papers)Scientific Reports (3 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tsuyoshi Koide
92 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 120
- Behavioral Neuroscience 127
- Developmental Biology 70
- Genetics 706
- Cellular and Molecular Neuroscience 408
- Social Psychology 373
Countries citing papers authored by Tsuyoshi Koide
This map shows the geographic impact of Tsuyoshi Koide'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 Tsuyoshi Koide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsuyoshi Koide more than expected).
Fields of papers citing papers by Tsuyoshi Koide
This network shows the impact of papers produced by Tsuyoshi Koide. 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 Tsuyoshi Koide. The network helps show where Tsuyoshi Koide may publish in the future.
Co-authors
The 25 scholars most cited alongside Tsuyoshi Koide, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 265 | |
| 2 | 2005 | 204 | |
| 3 | 1998 | 144 | |
| 4 | 2011 | 118 | |
| 5 | 1998 | 100 | |
| 6 | 1997 | 99 | |
| 7 | 2014 | 91 | |
| 8 | 1999 | 83 | |
| 9 | 2000 | 81 | |
| 10 | 2002 | 61 | |
| 11 | 1998 | 54 | |
| 12 | 2017 | 53 | |
| 13 | 2012 | 51 | |
| 14 | 1994 | 48 | |
| 15 | 2017 | 47 | |
| 16 | 2015 | 46 | |
| 17 | 2006 | 45 | |
| 18 | 1990 | 44 | |
| 19 | 1982 | 41 | |
| 20 | 2008 | 40 |
About Tsuyoshi Koide
Tsuyoshi Koide is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Social Psychology and Cell Biology, having authored 95 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (14 papers), Neuroendocrine regulation and behavior (11 papers), Biochemical Analysis and Sensing Techniques (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Epigenetics and DNA Methylation (6 papers), Neurobiology and Insect Physiology Research (6 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Behavioral Neuroscience (127 citations), Developmental Biology (70 citations), Genetics (706 citations), Cellular and Molecular Neuroscience (408 citations) and Social Psychology (373 citations). Tsuyoshi Koide has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Toshihiko Shiroishi, Aki Takahashi, Osamu Gotoh, Kintomo Takakura, Takao Asano, Kazuo Moriwaki, M. Azim Surani, Justin Ainscough, Yusuke Taguchi and Takeshi Yagi. Their work appears in journals such as Mammalian Genome, Genomics, Genes Brain & Behavior, PLoS ONE and Scientific Reports.
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.