Satoshi Mizuno
- Molecular Biology top 10%
- Oncology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Genetics top 10%
- Immunology
- Co-authors
- Yuko MurakamiYoshimasa UeharaKazuo NittaHAMAO UMEZAWAAkiko IshidaHisaji YamazakiManabu KawadaHidesuke Fukazawa
- Topics
- Pregnancy and preeclampsia studies (13 papers)Birth, Development, and Health (9 papers)Cancer therapeutics and mechanisms (8 papers)
- Journals
- The Journal of Experimental MedicineSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- JapanUnited StatesIreland
In The Last Decade
Satoshi Mizuno
119 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 141
- Molecular Biology 1.2k
- Oncology 374
- Public Health, Environmental and Occupational Health 206
- Genetics 195
- Immunology 192
Countries citing papers authored by Satoshi Mizuno
This map shows the geographic impact of Satoshi Mizuno'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 Satoshi Mizuno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Mizuno more than expected).
Fields of papers citing papers by Satoshi Mizuno
This network shows the impact of papers produced by Satoshi Mizuno. 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 Satoshi Mizuno. The network helps show where Satoshi Mizuno may publish in the future.
Co-authorship network of co-authors of Satoshi Mizuno
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Mizuno. A scholar is included among the top collaborators of Satoshi Mizuno 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 Satoshi Mizuno. Satoshi Mizuno 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 | 4 | |
| 3 | 10 | |
| 4 | 19 | |
| 5 | 14 | |
| 6 | 12 | |
| 7 | 10 | |
| 8 | 14 | |
| 9 | 42 | |
| 10 | 3 | |
| 11 | 44 | |
| 12 | Community-based disaster prevention activities and the 2004 flood in the Fukui City area | 2 |
| 13 | 10 | |
| 14 | 19 | |
| 15 | Highly Reliable Server with QRM | 0 |
| 16 | 44 | |
| 17 | 36 | |
| 18 | 19 | |
| 19 | 5 | |
| 20 | Cell Survival following Treatment with Antitumor Drugs | 3 |
About Satoshi Mizuno
Satoshi Mizuno is a scholar working on Obstetrics and Gynecology, Toxicology and Pharmaceutical Science, having authored 126 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (13 papers), Birth, Development, and Health (9 papers) and Cancer therapeutics and mechanisms (8 papers). The work is most often cited by research in Biochemistry (130 citations), Obstetrics and Gynecology (149 citations) and Molecular Biology (1.2k citations). Satoshi Mizuno has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Yuko Murakami, Yoshimasa Uehara, Kazuo Nitta, HAMAO UMEZAWA, Akiko Ishida, Hisaji Yamazaki, Manabu Kawada, Hidesuke Fukazawa, Kazuo Suzuki and Satoshi Yamagoe. Their work appears in journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and PLoS ONE.
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.