Satoshi Mikawa
Impact in
- Genetics top 2%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Animal Genetics and Reproduction
- Animal Science and Zoology top 2%
Papers in
- Genetics 38
- Genetic and phenotypic traits in livestock 26
- Genetic Mapping and Diversity in Plants and Animals 24
- Animal Genetics and Reproduction 13
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- Cancer-related molecular mechanisms research 8
- Co-authors
- Takashi AwataTomiji AKITAAkira ŌnishiKumiko TakedaAnthony C.F. PerryMasaki IwamotoTakeya MorozumiS. Shimanuki
- Journals
- Animal Science Journal (10 papers)Animal Genetics (9 papers)Journal of Animal Science (3 papers)Bioscience Biotechnology and Biochemistry (2 papers)Science (1 paper)
- Partner nations
- JapanFranceUnited States
In The Last Decade
Satoshi Mikawa
46 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Genetics 1.1k
- Animal Science and Zoology 208
- Public Health, Environmental and Occupational Health 505
- Cancer Research 195
- Molecular Biology 822
Countries citing papers authored by Satoshi Mikawa
This map shows the geographic impact of Satoshi Mikawa'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 Mikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Mikawa more than expected).
Fields of papers citing papers by Satoshi Mikawa
This network shows the impact of papers produced by Satoshi Mikawa. 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 Mikawa. The network helps show where Satoshi Mikawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Satoshi Mikawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 3 | |
| 2 | 2018 | 11 | |
| 3 | 2011 | 95 | |
| 4 | 2010 | 9 | |
| 5 | 2008 | 3 | |
| 6 | 2008 | 12 | |
| 7 | 2007 | 109 | |
| 8 | 2007 | 39 | |
| 9 | 2006 | 1 | |
| 10 | 2006 | 41 | |
| 11 | 2005 | 56 | |
| 12 | 2005 | 1 | |
| 13 | 2004 | 5 | |
| 14 | 2003 | 37 | |
| 15 | 2003 | 12 | |
| 16 | 2000 | 111 | |
| 17 | 1999 | 10 | |
| 18 | 1996 | 22 | |
| 19 | 1995 | 25 | |
| 20 | 1995 | 4 |
About Satoshi Mikawa
Satoshi Mikawa is a scholar working on Genetics, Cancer Research, Small Animals, Animal Science and Zoology and Microbiology, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (26 papers), Genetic Mapping and Diversity in Plants and Animals (24 papers), Animal Genetics and Reproduction (13 papers), Cancer-related molecular mechanisms research (8 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Animal Behavior and Welfare Studies (4 papers), Reproductive Biology and Fertility (3 papers) and Wheat and Barley Genetics and Pathology (3 papers). The work is most often cited by research in Genetics (1.1k citations), Animal Science and Zoology (208 citations), Public Health, Environmental and Occupational Health (505 citations), Cancer Research (195 citations) and Molecular Biology (822 citations). Satoshi Mikawa has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Takashi Awata, Tomiji AKITA, Akira Ōnishi, Kumiko Takeda, Anthony C.F. Perry, Masaki Iwamoto, Takeya Morozumi, S. Shimanuki, Takeshi Hayashi and Takuya Awata. Their work appears in journals such as Animal Science Journal, Animal Genetics, Journal of Animal Science, Bioscience Biotechnology and Biochemistry and Science.
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.