T Kumasaka
- Reproductive Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Obstetrics and Gynecology top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Akira ArimuraAndrew V. SchallyJon D. DunnLuciano DebéljukNozomu NishiHiroshi SatōY YaoiKohei Kato
- Topics
- Pregnancy and preeclampsia studies (7 papers)Reproductive System and Pregnancy (7 papers)Hypothalamic control of reproductive hormones (5 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismEndocrinologyAmerican Journal of Obstetrics and Gynecology
- Partner nations
- JapanUnited States
In The Last Decade
T Kumasaka
27 papers receiving 403 citations
Peers
Comparison fields: 5 of 72
- Reproductive Medicine 196
- Endocrinology, Diabetes and Metabolism 117
- Molecular Biology 84
- Obstetrics and Gynecology 81
- Public Health, Environmental and Occupational Health 75
Countries citing papers authored by T Kumasaka
This map shows the geographic impact of T Kumasaka'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 T Kumasaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Kumasaka more than expected).
Fields of papers citing papers by T Kumasaka
This network shows the impact of papers produced by T Kumasaka. 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 T Kumasaka. The network helps show where T Kumasaka may publish in the future.
Co-authorship network of co-authors of T Kumasaka
This figure shows the co-authorship network connecting the top 25 collaborators of T Kumasaka. A scholar is included among the top collaborators of T Kumasaka 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 T Kumasaka. T Kumasaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 13 | |
| 5 | 14 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 15 Effect of EGF on the preimplantation development of mouse embryos fertilized in vitro. | 1 |
| 11 | 8 | |
| 12 | 279. Pulsatile Secretion of Prolactin during the Human Menstrual Cycle and its Neuroendocrine Modulators | 1 |
| 13 | 277. Effect of Dopamine on the Functional Differentiation of Prolactin Cells | 0 |
| 14 | [Radioimmunoassay of estradiol using 125I-estradiol (author's transl)]. | 1 |
| 15 | 5 | |
| 16 | 26 | |
| 17 | 38 | |
| 18 | 0 | |
| 19 | 1 | |
| 20 | 58 |
About T Kumasaka
T Kumasaka is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Immunology, having authored 31 papers that have together received 453 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (7 papers), Reproductive System and Pregnancy (7 papers) and Hypothalamic control of reproductive hormones (5 papers). The work is most often cited by research in Reproductive Medicine (196 citations), Obstetrics and Gynecology (81 citations) and Endocrinology, Diabetes and Metabolism (117 citations). T Kumasaka has collaborated with scholars based in Japan and United States. Frequent co-authors include Akira Arimura, Andrew V. Schally, Jon D. Dunn, Luciano Debéljuk, Nozomu Nishi, Hiroshi Satō, Y Yaoi, Kohei Kato, Takao Koyama and Miki Taketomi Saito. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and American Journal of Obstetrics and Gynecology.
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.