Tetsuo Sato
- Molecular Biology
- Infectious Diseases top 5%
- Genetics top 10%
- Biomedical Engineering
- Animal Science and Zoology top 5%
- Co-authors
- Shigehiko KanayaNaoaki OnoToshiaki KodamaNatsumi TakeyamaKotaro TuchiyaAtsushi KatsumataTakuya ItouMd. Altaf‐Ul‐Amin
- Topics
- Advanced MRI Techniques and Applications (10 papers)Cardiac Imaging and Diagnostics (6 papers)Virus-based gene therapy research (6 papers)
- Partner nations
- JapanUnited StatesIndonesia
In The Last Decade
Tetsuo Sato
105 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 147
- Molecular Biology 381
- Infectious Diseases 279
- Genetics 235
- Biomedical Engineering 216
- Animal Science and Zoology 188
Countries citing papers authored by Tetsuo Sato
This map shows the geographic impact of Tetsuo Sato'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 Tetsuo Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuo Sato more than expected).
Fields of papers citing papers by Tetsuo Sato
This network shows the impact of papers produced by Tetsuo Sato. 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 Tetsuo Sato. The network helps show where Tetsuo Sato may publish in the future.
Co-authorship network of co-authors of Tetsuo Sato
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuo Sato. A scholar is included among the top collaborators of Tetsuo Sato 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 Tetsuo Sato. Tetsuo Sato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 5 | |
| 3 | 27 | |
| 4 | 12 | |
| 5 | 9 | |
| 6 | 12 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | Improvement of automatic cardiac rest period determination for coronary MRA | 2 |
| 10 | 3 | |
| 11 | Automatic cardiac rest period determination for coronary MRA | 1 |
| 12 | 2 | |
| 13 | 12 | |
| 14 | A Comparative Study of 95 Previous Cases with Kawasaki Disease and 101 Recent Cases The Relation between Coronary Arterial Lesions and Gamma-globulin Therapy | 1 |
| 15 | 13 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 10 |
About Tetsuo Sato
Tetsuo Sato is a scholar working on Computational Mathematics, Virology and Animal Science and Zoology, having authored 113 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (10 papers), Cardiac Imaging and Diagnostics (6 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Virology (142 citations), Animal Science and Zoology (188 citations) and Infectious Diseases (279 citations). Tetsuo Sato has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Shigehiko Kanaya, Naoaki Ono, Toshiaki Kodama, Natsumi Takeyama, Kotaro Tuchiya, Atsushi Katsumata, Takuya Itou, Md. Altaf‐Ul‐Amin, Noboru Suzuki and Naoki Itoh. Their work appears in journals such as Nature Communications, Nature Biotechnology and Journal of Virology.
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.