Tatsuya Sato
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery
- Physiology top 10%
- Co-authors
- Tetsuji MiuraMasaya TannoTakayuki MikiToshiyuki YanoAtsushi KunoMasato FuruhashiKei NakataHidemichi Kouzu
- Topics
- Cardiovascular Function and Risk Factors (19 papers)Glaucoma and retinal disorders (12 papers)Adipose Tissue and Metabolism (11 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicinePathology and Forensic Medicine
- Partner nations
- JapanUnited StatesMalaysia
In The Last Decade
Tatsuya Sato
139 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 722
- Endocrinology, Diabetes and Metabolism 387
- Cardiology and Cardiovascular Medicine 310
- Surgery 280
- Physiology 205
Countries citing papers authored by Tatsuya Sato
This map shows the geographic impact of Tatsuya 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 Tatsuya Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuya Sato more than expected).
Fields of papers citing papers by Tatsuya Sato
This network shows the impact of papers produced by Tatsuya 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 Tatsuya Sato. The network helps show where Tatsuya Sato may publish in the future.
Co-authorship network of co-authors of Tatsuya Sato
This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Sato. A scholar is included among the top collaborators of Tatsuya 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 Tatsuya Sato. Tatsuya 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 | 0 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 0 | |
| 12 | 11 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 13 | |
| 18 | 3 | |
| 19 | 20 | |
| 20 | Study for Selecting a Suitable Type of the Geothermal Power Generation System : A Case Study at the Appi Geothermal Field | 0 |
About Tatsuya Sato
Tatsuya Sato is a scholar working on Ophthalmology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 155 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (19 papers), Glaucoma and retinal disorders (12 papers) and Adipose Tissue and Metabolism (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (387 citations), Cardiology and Cardiovascular Medicine (310 citations) and Pathology and Forensic Medicine (189 citations). Tatsuya Sato has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Tetsuji Miura, Masaya Tanno, Takayuki Miki, Toshiyuki Yano, Atsushi Kuno, Masato Furuhashi, Kei Nakata, Hidemichi Kouzu, Yukishige Kimura and H Oshima. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.
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.