Mayumi Toya
- Reproductive Medicine top 2%
- Public Health, Environmental and Occupational Health top 5%
- Immunology
- Obstetrics and Gynecology top 5%
- Molecular Biology
- Co-authors
- Tomoko Kaneko-TaruiHidekazu SaitoKoichi KyonoKenji NakaharaMasakazu DoshidaMasahiko HiroiYukiko NakajoHirohisa Kurachi
- Topics
- Reproductive Biology and Fertility (13 papers)Ovarian function and disorders (7 papers)Assisted Reproductive Technology and Twin Pregnancy (5 papers)
- Cited by
- Reproductive MedicineObstetrics and GynecologyPublic Health, Environmental and Occupational Health
- Journals
- SHILAP Revista de lepidopterologíaFertility and SterilityCell and Tissue Research
- Partner nations
- JapanUnited States
In The Last Decade
Mayumi Toya
18 papers receiving 509 citations
Peers
Comparison fields: 5 of 57
- Reproductive Medicine 357
- Public Health, Environmental and Occupational Health 284
- Immunology 162
- Obstetrics and Gynecology 127
- Molecular Biology 90
Countries citing papers authored by Mayumi Toya
This map shows the geographic impact of Mayumi Toya'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 Mayumi Toya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayumi Toya more than expected).
Fields of papers citing papers by Mayumi Toya
This network shows the impact of papers produced by Mayumi Toya. 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 Mayumi Toya. The network helps show where Mayumi Toya may publish in the future.
Co-authorship network of co-authors of Mayumi Toya
This figure shows the co-authorship network connecting the top 25 collaborators of Mayumi Toya. A scholar is included among the top collaborators of Mayumi Toya 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 Mayumi Toya. Mayumi Toya 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 | 2 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 89 | |
| 7 | 9 | |
| 8 | 8 | |
| 9 | 14 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 56 | |
| 13 | 18 | |
| 14 | 50 | |
| 15 | 7 | |
| 16 | 50 | |
| 17 | 62 | |
| 18 | 55 | |
| 19 | 83 |
About Mayumi Toya
Mayumi Toya is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 19 papers that have together received 532 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (13 papers), Ovarian function and disorders (7 papers) and Assisted Reproductive Technology and Twin Pregnancy (5 papers). The work is most often cited by research in Reproductive Medicine (357 citations), Obstetrics and Gynecology (127 citations) and Public Health, Environmental and Occupational Health (284 citations). Mayumi Toya has collaborated with scholars based in Japan and United States. Frequent co-authors include Tomoko Kaneko-Tarui, Hidekazu Saito, Koichi Kyono, Kenji Nakahara, Masakazu Doshida, Masahiko Hiroi, Yukiko Nakajo, Hirohisa Kurachi, Nobuhiko Ohta and Takakazu Saito. Their work appears in journals such as SHILAP Revista de lepidopterología, Fertility and Sterility and Cell and Tissue Research.
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.