Yasuo Fukami
- Molecular Biology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Reproductive Medicine top 1%
- Cell Biology top 5%
- Plant Science top 10%
- Co-authors
- Tetsushi IwasakiAlexander A. TokmakovKen‐ichi SatoKenichi SatoMamoru AotoK. OgawaDaisuke MatsuokaTakashi Nanmori
- Topics
- Reproductive Biology and Fertility (25 papers)Sperm and Testicular Function (20 papers)Protein Kinase Regulation and GTPase Signaling (16 papers)
- Cited by
- Reproductive MedicinePhysiologyAging
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yasuo Fukami
72 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.0k
- Public Health, Environmental and Occupational Health 539
- Reproductive Medicine 472
- Cell Biology 256
- Plant Science 225
Countries citing papers authored by Yasuo Fukami
This map shows the geographic impact of Yasuo Fukami'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 Yasuo Fukami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuo Fukami more than expected).
Fields of papers citing papers by Yasuo Fukami
This network shows the impact of papers produced by Yasuo Fukami. 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 Yasuo Fukami. The network helps show where Yasuo Fukami may publish in the future.
Co-authorship network of co-authors of Yasuo Fukami
This figure shows the co-authorship network connecting the top 25 collaborators of Yasuo Fukami. A scholar is included among the top collaborators of Yasuo Fukami 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 Yasuo Fukami. Yasuo Fukami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 85 | |
| 3 | 55 | |
| 4 | 43 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 43 | |
| 9 | 51 | |
| 10 | CELL BEHAVIOR DATABASE (1) : ITS CONSTRUCTION AND USAGE IN RESEARCH AND EDUCATION(Cell Biology and Morphology,Abstracts of papers presented at the 75^ Annual Meeting of the Zoological Society of Japan) | 2 |
| 11 | 25 | |
| 12 | 67 | |
| 13 | 108 | |
| 14 | 111 | |
| 15 | 11 | |
| 16 | 77 | |
| 17 | 7 | |
| 18 | 12 | |
| 19 | 2 | |
| 20 | 6 |
About Yasuo Fukami
Yasuo Fukami is a scholar working on Reproductive Medicine, Physiology and Aging, having authored 72 papers that have together received 1.8k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (25 papers), Sperm and Testicular Function (20 papers) and Protein Kinase Regulation and GTPase Signaling (16 papers). The work is most often cited by research in Reproductive Medicine (472 citations), Physiology (151 citations) and Aging (42 citations). Yasuo Fukami has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tetsushi Iwasaki, Alexander A. Tokmakov, Ken‐ichi Sato, Kenichi Sato, Mamoru Aoto, K. Ogawa, Daisuke Matsuoka, Takashi Nanmori, Takeshi Yasuda and Mikako Shirouzu. Their work appears in journals such as Journal of Biological Chemistry, Bioinformatics and Development.
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.