Tokushi Sato
- Materials Chemistry top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Electronic, Optical and Magnetic Materials top 10%
- Radiation top 2%
- Molecular Biology
- Co-authors
- Shunsuke NozawaShin‐ichi AdachiAyana TomitaShin‐ya KoshiharaKouhei IchiyanagiMatthieu CholletYutaka KawabeEiichi Hanamura
- Topics
- Advanced X-ray Imaging Techniques (10 papers)Nonlinear Partial Differential Equations (10 papers)Advanced Mathematical Modeling in Engineering (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyPhysical Review Letters
- Partner nations
- JapanGermanySouth Korea
In The Last Decade
Tokushi Sato
66 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 95
- Materials Chemistry 798
- Atomic and Molecular Physics, and Optics 312
- Electronic, Optical and Magnetic Materials 263
- Radiation 258
- Molecular Biology 205
Countries citing papers authored by Tokushi Sato
This map shows the geographic impact of Tokushi 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 Tokushi Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tokushi Sato more than expected).
Fields of papers citing papers by Tokushi Sato
This network shows the impact of papers produced by Tokushi 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 Tokushi Sato. The network helps show where Tokushi Sato may publish in the future.
Co-authorship network of co-authors of Tokushi Sato
This figure shows the co-authorship network connecting the top 25 collaborators of Tokushi Sato. A scholar is included among the top collaborators of Tokushi 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 Tokushi Sato. Tokushi 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 | 3 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 10 | |
| 14 | 4 | |
| 15 | 51 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 24 | |
| 19 | 196 | |
| 20 | Certain Identities on Derivatives of Radial Homogeneous and Logarithmic Functions | 2 |
About Tokushi Sato
Tokushi Sato is a scholar working on Structural Biology, Radiation and Applied Mathematics, having authored 69 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced X-ray Imaging Techniques (10 papers), Nonlinear Partial Differential Equations (10 papers) and Advanced Mathematical Modeling in Engineering (9 papers). The work is most often cited by research in Structural Biology (94 citations), Radiation (258 citations) and Materials Chemistry (798 citations). Tokushi Sato has collaborated with scholars based in Japan, Germany and South Korea. Frequent co-authors include Shunsuke Nozawa, Shin‐ichi Adachi, Ayana Tomita, Shin‐ya Koshihara, Kouhei Ichiyanagi, Matthieu Chollet, Yutaka Kawabe, Eiichi Hanamura, Masanobu Shirai and Manabu Hoshino. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.
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.