Keisuke Koyama
- Public Health, Environmental and Occupational Health top 10%
- Reproductive Medicine top 5%
- Agronomy and Crop Science top 10%
- Genetics
- Molecular Biology
- Co-authors
- Masashi NaganoYoshiyuki TakahashiYojiro YanagawaSung-Sik KangWeiping HuangHiroshi TakanoA. HasegawaMinoru Shigeta
- Topics
- Reproductive Biology and Fertility (15 papers)Reproductive Physiology in Livestock (9 papers)Sperm and Testicular Function (9 papers)
- Cited by
- Reproductive MedicineAgronomy and Crop SciencePublic Health, Environmental and Occupational Health
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Keisuke Koyama
33 papers receiving 337 citations
Peers
Comparison fields: 5 of 63
- Public Health, Environmental and Occupational Health 171
- Reproductive Medicine 128
- Agronomy and Crop Science 94
- Genetics 76
- Molecular Biology 60
Countries citing papers authored by Keisuke Koyama
This map shows the geographic impact of Keisuke Koyama'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 Keisuke Koyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Koyama more than expected).
Fields of papers citing papers by Keisuke Koyama
This network shows the impact of papers produced by Keisuke Koyama. 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 Keisuke Koyama. The network helps show where Keisuke Koyama may publish in the future.
Co-authorship network of co-authors of Keisuke Koyama
This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Koyama. A scholar is included among the top collaborators of Keisuke Koyama 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 Keisuke Koyama. Keisuke Koyama 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 | 3 | |
| 3 | 6 | |
| 4 | 16 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 21 | |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 10 | |
| 12 | 6 | |
| 13 | 17 | |
| 14 | 10 | |
| 15 | 44 | |
| 16 | 25 | |
| 17 | 19 | |
| 18 | 3 | |
| 19 | 33 | |
| 20 | 23 |
About Keisuke Koyama
Keisuke Koyama is a scholar working on Reproductive Medicine, Agronomy and Crop Science and Small Animals, having authored 34 papers that have together received 346 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (15 papers), Reproductive Physiology in Livestock (9 papers) and Sperm and Testicular Function (9 papers). The work is most often cited by research in Reproductive Medicine (128 citations), Agronomy and Crop Science (94 citations) and Public Health, Environmental and Occupational Health (171 citations). Keisuke Koyama has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Masashi Nagano, Yoshiyuki Takahashi, Yojiro Yanagawa, Sung-Sik Kang, Weiping Huang, Hiroshi Takano, A. Hasegawa, Minoru Shigeta, Hiroaki Shibahara and M. Inoue. Their work appears in journals such as Journal of Allergy and Clinical Immunology, Journal of Dairy Science and Human Reproduction.
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.