Mitsuyoshi Amita
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Reproductive Medicine top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Obstetrics and Gynecology top 5%
- Co-authors
- Toshifumi TakahashiHirohisa KurachiHideki IgarashiDanny J. SchustToshihiko EzashiAndrei P. AlexenkoLaura C. SchulzKatsuyuki Adachi
- Topics
- Reproductive Biology and Fertility (14 papers)Ovarian function and disorders (9 papers)Reproductive System and Pregnancy (5 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Mitsuyoshi Amita
23 papers receiving 618 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 317
- Public Health, Environmental and Occupational Health 248
- Reproductive Medicine 171
- Pediatrics, Perinatology and Child Health 124
- Obstetrics and Gynecology 98
Countries citing papers authored by Mitsuyoshi Amita
This map shows the geographic impact of Mitsuyoshi Amita'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 Mitsuyoshi Amita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuyoshi Amita more than expected).
Fields of papers citing papers by Mitsuyoshi Amita
This network shows the impact of papers produced by Mitsuyoshi Amita. 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 Mitsuyoshi Amita. The network helps show where Mitsuyoshi Amita may publish in the future.
Co-authorship network of co-authors of Mitsuyoshi Amita
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuyoshi Amita. A scholar is included among the top collaborators of Mitsuyoshi Amita 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 Mitsuyoshi Amita. Mitsuyoshi Amita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 63 | |
| 11 | 12 | |
| 12 | 5 | |
| 13 | 62 | |
| 14 | 48 | |
| 15 | 23 | |
| 16 | 9 | |
| 17 | 5 | |
| 18 | 6 | |
| 19 | 33 | |
| 20 | 94 |
About Mitsuyoshi Amita
Mitsuyoshi Amita is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Transplantation, having authored 23 papers that have together received 621 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (14 papers), Ovarian function and disorders (9 papers) and Reproductive System and Pregnancy (5 papers). The work is most often cited by research in Reproductive Medicine (171 citations), Aging (26 citations) and Obstetrics and Gynecology (98 citations). Mitsuyoshi Amita has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Toshifumi Takahashi, Hirohisa Kurachi, Hideki Igarashi, Danny J. Schust, Toshihiko Ezashi, Andrei P. Alexenko, Laura C. Schulz, Katsuyuki Adachi, R. Michael Roberts and Sunilima Sinha. Their work appears in journals such as Proceedings of the National Academy of Sciences, Endocrinology and Nutrients.
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.