Masahiro Satoh
- Genetics top 5%
- Surgery top 5%
- Oncology top 10%
- Immunology top 10%
- Animal Science and Zoology top 2%
- Co-authors
- Atsushi MasamuneKazuhiro KikutaTooru ShimosegawaAkihiko SatohKennichi SatohNoriaki SuzukiShinichiro OgawaYoshitaka Sakai
- Topics
- Genetic and phenotypic traits in livestock (100 papers)Genetic Mapping and Diversity in Plants and Animals (55 papers)Animal Nutrition and Physiology (40 papers)
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Masahiro Satoh
128 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 114
- Genetics 648
- Surgery 564
- Oncology 414
- Immunology 337
- Animal Science and Zoology 296
Countries citing papers authored by Masahiro Satoh
This map shows the geographic impact of Masahiro Satoh'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 Masahiro Satoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiro Satoh more than expected).
Fields of papers citing papers by Masahiro Satoh
This network shows the impact of papers produced by Masahiro Satoh. 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 Masahiro Satoh. The network helps show where Masahiro Satoh may publish in the future.
Co-authorship network of co-authors of Masahiro Satoh
This figure shows the co-authorship network connecting the top 25 collaborators of Masahiro Satoh. A scholar is included among the top collaborators of Masahiro Satoh 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 Masahiro Satoh. Masahiro Satoh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | Estimation of genetic parameters for reproductive traits in Syrian hamsters. | 0 |
| 15 | 15 | |
| 16 | 3 | |
| 17 | 0 | |
| 18 | Progress in Breeding Techniques for Effective Beef Cattle Production in Japan | 1 |
| 19 | Development of Techniques and Breeding Strategies for Pig Strain Improvement in Japan | 1 |
| 20 | 1 |
About Masahiro Satoh
Masahiro Satoh is a scholar working on Animal Science and Zoology, Small Animals and Genetics, having authored 152 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (100 papers), Genetic Mapping and Diversity in Plants and Animals (55 papers) and Animal Nutrition and Physiology (40 papers). The work is most often cited by research in Animal Science and Zoology (296 citations), Small Animals (213 citations) and Genetics (648 citations). Masahiro Satoh has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Atsushi Masamune, Kazuhiro Kikuta, Tooru Shimosegawa, Akihiko Satoh, Kennichi Satoh, Noriaki Suzuki, Shinichiro Ogawa, Yoshitaka Sakai, Motohide Nishio and Yoshinobu Uemoto. Their work appears in journals such as Journal of Biological Chemistry, Gastroenterology 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.