Ryusuke Sawada
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 10
- Machine Learning in Bioinformatics 6
- RNA and protein synthesis mechanisms 6
- Genomics and Phylogenetic Studies 5
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- Computational Drug Discovery Methods 16
- Co-authors
- Yoshihiro Yamanishi (21 shared papers)Masaaki Kotera (5 shared papers)Hiroaki Iwata (4 shared papers)Sayaka Mizutani (3 shared papers)M Iwata (6 shared papers)Yasuo Tabei (3 shared papers)Yuki Moriya (1 shared paper)Susumu Goto (1 shared paper)
- Journals
- Journal of the Meteorological Society of Japan Ser II (6 papers)Journal of Chemical Information and Modeling (4 papers)Scientific Reports (3 papers)Molecular Informatics (2 papers)The Journal of Biochemistry (2 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Ryusuke Sawada
38 papers receiving 532 citations
Peers
Comparison fields: 5 of 89
- Computational Theory and Mathematics 330
- Computational Mathematics 5
- Pharmacology 56
- Molecular Biology 376
- Pharmacology 70
Countries citing papers authored by Ryusuke Sawada
This map shows the geographic impact of Ryusuke Sawada'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 Ryusuke Sawada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryusuke Sawada more than expected).
Fields of papers citing papers by Ryusuke Sawada
This network shows the impact of papers produced by Ryusuke Sawada. 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 Ryusuke Sawada. The network helps show where Ryusuke Sawada may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryusuke Sawada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 79 | |
| 2 | 2015 | 58 | |
| 3 | 2015 | 46 | |
| 4 | 2018 | 43 | |
| 5 | 2017 | 40 | |
| 6 | 2014 | 40 | |
| 7 | 2015 | 30 | |
| 8 | 2015 | 26 | |
| 9 | 2018 | 22 | |
| 10 | 2019 | 22 | |
| 11 | 2019 | 15 | |
| 12 | 2018 | 13 | |
| 13 | 1965 | 12 | |
| 14 | 2019 | 9 | |
| 15 | 2007 | 8 | |
| 16 | 2024 | 7 | |
| 17 | 1964 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2011 | 6 | |
| 20 | 2024 | 6 |
About Ryusuke Sawada
Ryusuke Sawada is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Astronomy and Astrophysics and Oceanography, having authored 43 papers that have together received 543 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Bioinformatics and Genomic Networks (10 papers), Microbial Natural Products and Biosynthesis (9 papers), Machine Learning in Bioinformatics (6 papers), RNA and protein synthesis mechanisms (6 papers), Genomics and Phylogenetic Studies (5 papers), Geophysics and Gravity Measurements (5 papers) and Planetary Science and Exploration (4 papers). The work is most often cited by research in Computational Theory and Mathematics (330 citations), Computational Mathematics (5 citations), Pharmacology (56 citations), Molecular Biology (376 citations) and Pharmacology (70 citations). Ryusuke Sawada has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Yoshihiro Yamanishi, Masaaki Kotera, Hiroaki Iwata, Sayaka Mizutani, M Iwata, Yasuo Tabei, Yuki Moriya, Susumu Goto, Minoru Kanehisa and Shigeki Mitaku. Their work appears in journals such as Journal of the Meteorological Society of Japan Ser II, Journal of Chemical Information and Modeling, Scientific Reports, Molecular Informatics and The Journal of Biochemistry.
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.