Daisuke Sato
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 5%
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Co-authors
- James N. WeissZhilin QuAlan GarfinkelYohannes ShiferawDonald M. BersYuanfang XieAlain KarmaLai‐Hua Xie
- Topics
- Cardiac electrophysiology and arrhythmias (49 papers)Ion channel regulation and function (41 papers)Neuroscience and Neural Engineering (14 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersSHILAP Revista de lepidopterología
- Partner nations
- United StatesJapanNorway
In The Last Decade
Daisuke Sato
59 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 105
- Cardiology and Cardiovascular Medicine 1.9k
- Molecular Biology 1.6k
- Cellular and Molecular Neuroscience 553
- Statistical and Nonlinear Physics 239
- Computer Networks and Communications 125
Countries citing papers authored by Daisuke Sato
This map shows the geographic impact of Daisuke 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 Daisuke Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Sato more than expected).
Fields of papers citing papers by Daisuke Sato
This network shows the impact of papers produced by Daisuke 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 Daisuke Sato. The network helps show where Daisuke Sato may publish in the future.
Co-authorship network of co-authors of Daisuke Sato
This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Sato. A scholar is included among the top collaborators of Daisuke 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 Daisuke Sato. Daisuke 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 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 10 | |
| 7 | 12 | |
| 8 | 19 | |
| 9 | 12 | |
| 10 | 7 | |
| 11 | 28 | |
| 12 | 10 | |
| 13 | 14 | |
| 14 | 1 | |
| 15 | 43 | |
| 16 | 47 | |
| 17 | 202 | |
| 18 | 1 | |
| 19 | 113 | |
| 20 | 27 |
About Daisuke Sato
Daisuke Sato is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 62 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (49 papers), Ion channel regulation and function (41 papers) and Neuroscience and Neural Engineering (14 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.9k citations), Cellular and Molecular Neuroscience (553 citations) and Molecular Biology (1.6k citations). Daisuke Sato has collaborated with scholars based in United States, Japan and Norway. Frequent co-authors include James N. Weiss, Zhilin Qu, Alan Garfinkel, Yohannes Shiferaw, Donald M. Bers, Yuanfang Xie, Alain Karma, Lai‐Hua Xie, Peng‐Sheng Chen and Riccardo Olcese. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.
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.