Mitsuyoshi Suzuki
- Genetics top 5%
- Surgery top 10%
- Animal Science and Zoology top 2%
- Epidemiology
- Agronomy and Crop Science top 5%
- Co-authors
- Toshiaki ShimizuKeigo KUCHIDAShunzo MIYOSHIYutaka MasudaL.D. Van VleckH. AbeYuichiro YamashiroHiroshi Nittono
- Topics
- Genetic and phenotypic traits in livestock (50 papers)Pediatric Hepatobiliary Diseases and Treatments (20 papers)Drug Transport and Resistance Mechanisms (19 papers)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Mitsuyoshi Suzuki
161 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 110
- Genetics 444
- Surgery 393
- Animal Science and Zoology 261
- Epidemiology 229
- Agronomy and Crop Science 228
Countries citing papers authored by Mitsuyoshi Suzuki
This map shows the geographic impact of Mitsuyoshi Suzuki'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 Mitsuyoshi Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuyoshi Suzuki more than expected).
Fields of papers citing papers by Mitsuyoshi Suzuki
This network shows the impact of papers produced by Mitsuyoshi Suzuki. 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 Mitsuyoshi Suzuki. The network helps show where Mitsuyoshi Suzuki may publish in the future.
Co-authorship network of co-authors of Mitsuyoshi Suzuki
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuyoshi Suzuki. A scholar is included among the top collaborators of Mitsuyoshi Suzuki 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 Mitsuyoshi Suzuki. Mitsuyoshi Suzuki 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 | 2 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 12 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | Simultaneous estimation of genetic parameters and heterogeneous variances for production traits of Holstein cattle in Japan | 1 |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 10 | |
| 18 | A Half-Pel Precision Motion Estimation Processor for NTSC-Resolution Video (Special Issue on Multimedia, Analog and Processing LSIs) | 2 |
| 19 | 1 | |
| 20 | 3 |
About Mitsuyoshi Suzuki
Mitsuyoshi Suzuki is a scholar working on Agronomy and Crop Science, Genetics and Hepatology, having authored 182 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (50 papers), Pediatric Hepatobiliary Diseases and Treatments (20 papers) and Drug Transport and Resistance Mechanisms (19 papers). The work is most often cited by research in Animal Science and Zoology (261 citations), Agronomy and Crop Science (228 citations) and Genetics (444 citations). Mitsuyoshi Suzuki has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Toshiaki Shimizu, Keigo KUCHIDA, Shunzo MIYOSHI, Yutaka Masuda, L.D. Van Vleck, H. Abe, Yuichiro Yamashiro, Hiroshi Nittono, Takayoshi Kawahara and Satoshi Nakano. Their work appears in journals such as Nature Communications, Gastroenterology and Scientific Reports.
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.