Hiroshi Hatayama
- Immunology top 5%
- Reproductive Medicine top 2%
- Obstetrics and Gynecology top 2%
- Public Health, Environmental and Occupational Health top 10%
- Genetics
- Co-authors
- Hideharu KanzakiJun FujitaKenji KojimaTakahide MoriMariko FujimotoToshihiro HiguchiMasazumi IwaiHiroki Nakayama
- Topics
- Reproductive System and Pregnancy (16 papers)Endometriosis Research and Treatment (9 papers)Estrogen and related hormone effects (5 papers)
- Journals
- Journal of Biological ChemistryThe Journal of Clinical Endocrinology & MetabolismEndocrinology
- Partner nations
- JapanCanadaUnited Kingdom
In The Last Decade
Hiroshi Hatayama
26 papers receiving 795 citations
Peers
Comparison fields: 5 of 69
- Immunology 509
- Reproductive Medicine 364
- Obstetrics and Gynecology 233
- Public Health, Environmental and Occupational Health 166
- Genetics 122
Countries citing papers authored by Hiroshi Hatayama
This map shows the geographic impact of Hiroshi Hatayama'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 Hiroshi Hatayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Hatayama more than expected).
Fields of papers citing papers by Hiroshi Hatayama
This network shows the impact of papers produced by Hiroshi Hatayama. 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 Hiroshi Hatayama. The network helps show where Hiroshi Hatayama may publish in the future.
Co-authorship network of co-authors of Hiroshi Hatayama
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Hatayama. A scholar is included among the top collaborators of Hiroshi Hatayama 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 Hiroshi Hatayama. Hiroshi Hatayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 32 | |
| 5 | 50 | |
| 6 | [Sperm cryopreservation for cancer patients: 5-year experience in a private hospital in Japan]. | 4 |
| 7 | 22 | |
| 8 | 19 | |
| 9 | [The Aging Male's Symptoms (AMS) scale in Japanese men attending an infertility clinic]. | 1 |
| 10 | 23 | |
| 11 | 19 | |
| 12 | 4 | |
| 13 | 25 | |
| 14 | 57 | |
| 15 | 136 | |
| 16 | 46 | |
| 17 | 6 | |
| 18 | 47 | |
| 19 | 24 | |
| 20 | 0 |
About Hiroshi Hatayama
Hiroshi Hatayama is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Immunology, having authored 27 papers that have together received 817 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (16 papers), Endometriosis Research and Treatment (9 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Reproductive Medicine (364 citations), Obstetrics and Gynecology (233 citations) and Immunology (509 citations). Hiroshi Hatayama has collaborated with scholars based in Japan, Canada and United Kingdom. Frequent co-authors include Hideharu Kanzaki, Jun Fujita, Kenji Kojima, Takahide Mori, Mariko Fujimoto, Toshihiro Higuchi, Masazumi Iwai, Hiroki Nakayama, Shinji Narukawa and Mai Fujimoto. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and 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.