Gen Watanabe
Impact in
- Reproductive Medicine top 0.2%
- Sperm and Testicular Function
- Hypothalamic control of reproductive hormones
- Equine top 0.2%
Papers in
-
- Reproductive Physiology in Livestock 158
- Genetics 140
- Genetic and phenotypic traits in livestock 65
- Estrogen and related hormone effects 50
- Co-authors
- Kazuyoshi Taya (251 shared papers)Kentaro Nagaoka (92 shared papers)S. Sasamoto (19 shared papers)Shuji Sasamoto (13 shared papers)Akira K. Suzuki (29 shared papers)Mohamed S. Medan (33 shared papers)Hiroyuki Kaneko (18 shared papers)Shinji Taneda (25 shared papers)
In The Last Decade
Gen Watanabe
507 papers receiving 9.4k citations
Peers
Comparison fields: 5 of 148
- Reproductive Medicine 2.1k
- Equine 412
- Agronomy and Crop Science 2.5k
- Behavioral Neuroscience 342
- Health, Toxicology and Mutagenesis 1.3k
Countries citing papers authored by Gen Watanabe
This map shows the geographic impact of Gen Watanabe'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 Gen Watanabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gen Watanabe more than expected).
Fields of papers citing papers by Gen Watanabe
This network shows the impact of papers produced by Gen Watanabe. 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 Gen Watanabe. The network helps show where Gen Watanabe may publish in the future.
Co-authors
The 25 scholars most cited alongside Gen Watanabe, 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 513 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 287 | |
| 2 | 1989 | 185 | |
| 3 | 1989 | 169 | |
| 4 | 2004 | 101 | |
| 5 | 2003 | 82 | |
| 6 | 1990 | 81 | |
| 7 | 2013 | 81 | |
| 8 | 1995 | 77 | |
| 9 | 2006 | 74 | |
| 10 | 2004 | 74 | |
| 11 | 2004 | 71 | |
| 12 | 2004 | 70 | |
| 13 | 1998 | 70 | |
| 14 | 2015 | 68 | |
| 15 | 2019 | 68 | |
| 16 | 1995 | 67 | |
| 17 | 2001 | 66 | |
| 18 | 1993 | 64 | |
| 19 | 2015 | 60 | |
| 20 | 1998 | 60 |
About Gen Watanabe
Gen Watanabe is a scholar working on Agronomy and Crop Science, Genetics, Molecular Biology, Reproductive Medicine and Public Health, Environmental and Occupational Health, having authored 513 papers that have together received 9.7k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (158 papers), Reproductive Biology and Fertility (77 papers), Genetic and phenotypic traits in livestock (65 papers), TGF-β signaling in diseases (60 papers), Sperm and Testicular Function (52 papers), Estrogen and related hormone effects (50 papers), Growth Hormone and Insulin-like Growth Factors (47 papers) and Hypothalamic control of reproductive hormones (46 papers). The work is most often cited by research in Reproductive Medicine (2.1k citations), Equine (412 citations), Agronomy and Crop Science (2.5k citations), Behavioral Neuroscience (342 citations) and Health, Toxicology and Mutagenesis (1.3k citations). Gen Watanabe has collaborated with scholars based in Japan, China and Egypt. Frequent co-authors include Kazuyoshi Taya, Kentaro Nagaoka, S. Sasamoto, Shuji Sasamoto, Akira K. Suzuki, Mohamed S. Medan, Hiroyuki Kaneko, Shinji Taneda, Koji Y. Arai and Ei Terasawa. Their work appears in journals such as Journal of Reproduction and Development, Biology of Reproduction, Journal of Endocrinology, Theriogenology and General and Comparative Endocrinology.
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.