M Igarashi
- Reproductive Medicine top 1%
- Molecular Biology
- Genetics top 10%
- Public Health, Environmental and Occupational Health top 10%
- Agronomy and Crop Science top 5%
- Co-authors
- Yoshihisa HasegawaHiroshi MatsuoMasatoshi NomuraKenji KangawaKen‐ichi MiyamotoΚ. MIYAMOTOKazuyoshi TayaGen Watanabe
- Topics
- TGF-β signaling in diseases (6 papers)Endometriosis Research and Treatment (6 papers)Ovarian function and disorders (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- JapanEgyptUnited States
In The Last Decade
M Igarashi
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Reproductive Medicine 501
- Molecular Biology 374
- Genetics 247
- Public Health, Environmental and Occupational Health 231
- Agronomy and Crop Science 210
Countries citing papers authored by M Igarashi
This map shows the geographic impact of M Igarashi'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 M Igarashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Igarashi more than expected).
Fields of papers citing papers by M Igarashi
This network shows the impact of papers produced by M Igarashi. 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 M Igarashi. The network helps show where M Igarashi may publish in the future.
Co-authorship network of co-authors of M Igarashi
This figure shows the co-authorship network connecting the top 25 collaborators of M Igarashi. A scholar is included among the top collaborators of M Igarashi 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 M Igarashi. M Igarashi 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 | 1 | |
| 3 | 4 | |
| 4 | 52 | |
| 5 | 35 | |
| 6 | 113 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 55 | |
| 10 | 17 | |
| 11 | 183 | |
| 12 | 42 | |
| 13 | 61 | |
| 14 | [Control mechanism of FSH secretion from the pituitary]. | 3 |
| 15 | 72 | |
| 16 | EFFECT OF STEROID HORMONES ON CRP IN RAT : Biochemistry | 2 |
| 17 | Clinical Application of Human Gonadotropins | 6 |
| 18 | 356 | |
| 19 | Augmentative effect of ascorbic acid upon induction of human ovulation in clomiphene-ineffective anovulatory women. | 19 |
| 20 | Environmental anovulatory cycles. | 16 |
About M Igarashi
M Igarashi is a scholar working on Reproductive Medicine, Agronomy and Crop Science and Obstetrics and Gynecology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (6 papers), Endometriosis Research and Treatment (6 papers) and Ovarian function and disorders (5 papers). The work is most often cited by research in Reproductive Medicine (501 citations), Agronomy and Crop Science (210 citations) and Physiology (76 citations). M Igarashi has collaborated with scholars based in Japan, Egypt and United States. Frequent co-authors include Yoshihisa Hasegawa, Hiroshi Matsuo, Masatoshi Nomura, Kenji Kangawa, Ken‐ichi Miyamoto, Κ. MIYAMOTO, Kazuyoshi Taya, Gen Watanabe, S. Sasamoto and Yoshiaki Komiya. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.
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.