Satoshi Sano
- Molecular Biology top 5%
- Plant Science top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Materials Chemistry
- Ecology top 10%
- Co-authors
- Takayuki KohchiHachiro InokuchiTohru SanoKanji OhyamaHiromasa ShiraiKazuhiko UmesonoHaruo OzekiMasayuki Takeuchi
- Topics
- Enzyme Structure and Function (15 papers)Plant Stress Responses and Tolerance (8 papers)Photosynthetic Processes and Mechanisms (7 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Satoshi Sano
58 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 2.0k
- Plant Science 1.2k
- Ecology, Evolution, Behavior and Systematics 247
- Materials Chemistry 243
- Ecology 222
Countries citing papers authored by Satoshi Sano
This map shows the geographic impact of Satoshi Sano'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 Satoshi Sano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Sano more than expected).
Fields of papers citing papers by Satoshi Sano
This network shows the impact of papers produced by Satoshi Sano. 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 Satoshi Sano. The network helps show where Satoshi Sano may publish in the future.
Co-authorship network of co-authors of Satoshi Sano
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Sano. A scholar is included among the top collaborators of Satoshi Sano 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 Satoshi Sano. Satoshi Sano 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 | 10 | |
| 3 | 11 | |
| 4 | 18 | |
| 5 | 99 | |
| 6 | 7 | |
| 7 | 19 | |
| 8 | 48 | |
| 9 | Developments in Detecting Driver Drowsiness Level | 2 |
| 10 | 2 | |
| 11 | Driver Sleepiness Level Detection Based on the Heart Rate Variability | 1 |
| 12 | 5 | |
| 13 | 9 | |
| 14 | 15 | |
| 15 | 3 | |
| 16 | 14 | |
| 17 | 80 | |
| 18 | PROPERTIES OF ASCORBATE PEROXIDASE FROM A UNICELLULAR RED ALGA, Galdieria partita | 2 |
| 19 | Monodehydroascorbate radical reductase-dependent photoreduction of oxygen in chloroplast thylakoids | 1 |
| 20 | 61 |
About Satoshi Sano
Satoshi Sano is a scholar working on Molecular Biology, Materials Chemistry and Process Chemistry and Technology, having authored 60 papers that have together received 3.0k indexed citations. Recurring topics across this work include Enzyme Structure and Function (15 papers), Plant Stress Responses and Tolerance (8 papers) and Photosynthetic Processes and Mechanisms (7 papers). The work is most often cited by research in Plant Science (1.2k citations), Molecular Biology (2.0k citations) and Pharmaceutical Science (93 citations). Satoshi Sano has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takayuki Kohchi, Hachiro Inokuchi, Tohru Sano, Kanji Ohyama, Hiromasa Shirai, Kazuhiko Umesono, Haruo Ozeki, Masayuki Takeuchi, Hideya Fukuzawa and Zhen Chang. Their work appears in journals such as Nature, Journal of Biological Chemistry 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.