Fuko MATSUDA‐MINEHATA
- Molecular Biology
- Public Health, Environmental and Occupational Health top 5%
- Reproductive Medicine top 5%
- Immunology
- Agronomy and Crop Science top 5%
- Co-authors
- Noboru MANABENaoko InoueYasufumi GotoAkihisa MaedaKazuhiro SakamakiTakashi MiyanoYuan ChengKatsuhiro FUKUTA
- Topics
- Cell death mechanisms and regulation (9 papers)Reproductive Biology and Fertility (7 papers)Ovarian cancer diagnosis and treatment (4 papers)
- Cited by
- Reproductive MedicineAgronomy and Crop SciencePublic Health, Environmental and Occupational Health
- Journals
- Molecular Reproduction and DevelopmentReproduction in Domestic AnimalsTransplantation Proceedings
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Fuko MATSUDA‐MINEHATA
16 papers receiving 691 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 394
- Public Health, Environmental and Occupational Health 346
- Reproductive Medicine 166
- Immunology 147
- Agronomy and Crop Science 126
Countries citing papers authored by Fuko MATSUDA‐MINEHATA
This map shows the geographic impact of Fuko MATSUDA‐MINEHATA'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 Fuko MATSUDA‐MINEHATA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuko MATSUDA‐MINEHATA more than expected).
Fields of papers citing papers by Fuko MATSUDA‐MINEHATA
This network shows the impact of papers produced by Fuko MATSUDA‐MINEHATA. 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 Fuko MATSUDA‐MINEHATA. The network helps show where Fuko MATSUDA‐MINEHATA may publish in the future.
Co-authorship network of co-authors of Fuko MATSUDA‐MINEHATA
This figure shows the co-authorship network connecting the top 25 collaborators of Fuko MATSUDA‐MINEHATA. A scholar is included among the top collaborators of Fuko MATSUDA‐MINEHATA 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 Fuko MATSUDA‐MINEHATA. Fuko MATSUDA‐MINEHATA is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 19 | |
| 3 | 50 | |
| 4 | 5 | |
| 5 | 17 | |
| 6 | 19 | |
| 7 | 29 | |
| 8 | 3 | |
| 9 | 39 | |
| 10 | 144 | |
| 11 | 43 | |
| 12 | 5 | |
| 13 | 30 | |
| 14 | 32 | |
| 15 | 30 | |
| 16 | 194 |
About Fuko MATSUDA‐MINEHATA
Fuko MATSUDA‐MINEHATA is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Agronomy and Crop Science, having authored 16 papers that have together received 701 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (9 papers), Reproductive Biology and Fertility (7 papers) and Ovarian cancer diagnosis and treatment (4 papers). The work is most often cited by research in Reproductive Medicine (166 citations), Agronomy and Crop Science (126 citations) and Public Health, Environmental and Occupational Health (346 citations). Fuko MATSUDA‐MINEHATA has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Noboru MANABE, Naoko Inoue, Yasufumi Goto, Akihisa Maeda, Kazuhiro Sakamaki, Takashi Miyano, Yuan Cheng, Yuan Cheng, Katsuhiro FUKUTA and R. K. Christenson. Their work appears in journals such as Molecular Reproduction and Development, Reproduction in Domestic Animals and Transplantation Proceedings.
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.