Kazuyoshi Taya
- Equine top 0.2%
- Agronomy and Crop Science top 0.05%
- Reproductive Physiology in Livestock 169
- Reproductive Medicine top 0.2%
- Sperm and Testicular Function 50
- Behavioral Neuroscience top 1%
- Health, Toxicology and Mutagenesis top 0.5%
- Effects and risks of endocrine disrupting chemicals 43
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- Reproductive Biology and Fertility 95
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- Growth Hormone and Insulin-like Growth Factors 69
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- TGF-β signaling in diseases 65
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- Genetic and phenotypic traits in livestock 57
- Estrogen and related hormone effects 55
Kazuyoshi Taya
496 papers receiving 9.7k citations
Peers
Comparison fields: 5 of 147
- Equine 528
- Agronomy and Crop Science 2.7k
- Reproductive Medicine 2.1k
- Behavioral Neuroscience 451
- Health, Toxicology and Mutagenesis 1.7k
Countries citing papers authored by Kazuyoshi Taya
This map shows the geographic impact of Kazuyoshi Taya'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 Kazuyoshi Taya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuyoshi Taya more than expected).
Fields of papers citing papers by Kazuyoshi Taya
This network shows the impact of papers produced by Kazuyoshi Taya. 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 Kazuyoshi Taya. The network helps show where Kazuyoshi Taya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kazuyoshi Taya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2013 | 11 | |
| 3 | Updated reproductive hormonal profiles in female elephants. | 2011 | 1 |
| 4 | 2011 | 3 | |
| 5 | 2011 | 4 | |
| 6 | 2008 | 23 | |
| 7 | 2006 | 40 | |
| 8 | 2005 | 23 | |
| 9 | 2004 | 66 | |
| 10 | 2003 | 30 | |
| 11 | 2003 | 21 | |
| 12 | 2003 | 46 | |
| 13 | 2002 | 25 | |
| 14 | 2001 | 25 | |
| 15 | 2001 | 6 | |
| 16 | 1999 | 40 | |
| 17 | Inhibin in the Regulation of FSH Secretion and Folliculogenesis in Rats and Hamsters (7th maff Homeostasis Workshop on current status and perspectives in reproduction and lactation in domestic animals) -- (Symposium Session 1:Inhibin and FSH Secretion) | 1996 | 3 |
| 18 | 1985 | 6 | |
| 19 | 1980 | 8 | |
| 20 | 1977 | 15 |
About Kazuyoshi Taya
Kazuyoshi Taya is a scholar working on Equine, Agronomy and Crop Science and Reproductive Medicine, having authored 499 papers that have together received 9.9k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (169 papers), Reproductive Biology and Fertility (95 papers), Growth Hormone and Insulin-like Growth Factors (69 papers), TGF-β signaling in diseases (65 papers), Genetic and phenotypic traits in livestock (57 papers), Estrogen and related hormone effects (55 papers), Sperm and Testicular Function (50 papers) and Effects and risks of endocrine disrupting chemicals (43 papers). The work is most often cited by research in Equine (528 citations), Agronomy and Crop Science (2.7k citations) and Reproductive Medicine (2.1k citations). Kazuyoshi Taya has collaborated with scholars based in Japan, China and Egypt. Frequent co-authors include Gen Watanabe, S. Sasamoto, Shuji Sasamoto, Gilbert S. Greenwald, Akira K. Suzuki, Mohamed S. Medan, Koji Y. Arai, Hiroyuki Kaneko, Kentaro Nagaoka and Shinji Taneda. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Brain Research.
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.