Fumio Otsuka
- Molecular Biology top 2%
- Public Health, Environmental and Occupational Health top 0.2%
- Reproductive Medicine top 0.5%
- Endocrinology, Diabetes and Metabolism top 1%
- Genetics top 2%
- Co-authors
- Shunichi ShimasakiR. Kelly MooreGregory F. EricksonHirofumi MakinoKenichi InagakiTomoko MiyoshiHideharu HagiyaToshio Ogura
- Topics
- Pituitary Gland Disorders and Treatments (47 papers)Reproductive Biology and Fertility (37 papers)TGF-β signaling in diseases (34 papers)
- Cited by
- Reproductive MedicinePublic Health, Environmental and Occupational HealthEndocrinology, Diabetes and Metabolism
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Fumio Otsuka
468 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 3.2k
- Public Health, Environmental and Occupational Health 2.9k
- Reproductive Medicine 1.2k
- Endocrinology, Diabetes and Metabolism 1.1k
- Genetics 1.0k
Countries citing papers authored by Fumio Otsuka
This map shows the geographic impact of Fumio Otsuka'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 Fumio Otsuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumio Otsuka more than expected).
Fields of papers citing papers by Fumio Otsuka
This network shows the impact of papers produced by Fumio Otsuka. 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 Fumio Otsuka. The network helps show where Fumio Otsuka may publish in the future.
Co-authorship network of co-authors of Fumio Otsuka
This figure shows the co-authorship network connecting the top 25 collaborators of Fumio Otsuka. A scholar is included among the top collaborators of Fumio Otsuka 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 Fumio Otsuka. Fumio Otsuka 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 20 | |
| 19 | 1 | |
| 20 | 4 |
About Fumio Otsuka
Fumio Otsuka is a scholar working on Endocrinology, Diabetes and Metabolism, Microbiology and Applied Microbiology and Biotechnology, having authored 508 papers that have together received 7.7k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (47 papers), Reproductive Biology and Fertility (37 papers) and TGF-β signaling in diseases (34 papers). The work is most often cited by research in Reproductive Medicine (1.2k citations), Public Health, Environmental and Occupational Health (2.9k citations) and Endocrinology, Diabetes and Metabolism (1.1k citations). Fumio Otsuka has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Shunichi Shimasaki, R. Kelly Moore, Gregory F. Erickson, Hirofumi Makino, Kenichi Inagaki, Tomoko Miyoshi, Hideharu Hagiya, Toshio Ogura, Shin Yamamoto and Masaya Takeda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.