Sotaro Uemura
- Structural Biology top 5%
- Cell Biology top 2%
- Microtubule and mitosis dynamics 6
- Cellular Mechanics and Interactions 4
- Biophysics top 2%
- Computational Mathematics top 10%
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms 11
- RNA modifications and cancer 8
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- Data Management and Algorithms 5
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- Advanced Database Systems and Queries 5
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- IL-33, ST2, and ILC Pathways 5
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- Bacterial Genetics and Biotechnology 5
- Co-authors
- Shin’ichi IshiwataJoseph D. PuglisiJonas KorlachColin Echeverría AitkenBenjamin A. FlusbergStephen W. TurnerKenji KawaguchiAlbert Tsai
- Journals
- Nature (3 papers)Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Sotaro Uemura
52 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 129
- Structural Biology 48
- Cell Biology 491
- Biophysics 139
- Computational Mathematics 10
- Molecular Biology 1.0k
Countries citing papers authored by Sotaro Uemura
This map shows the geographic impact of Sotaro Uemura'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 Sotaro Uemura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sotaro Uemura more than expected).
Fields of papers citing papers by Sotaro Uemura
This network shows the impact of papers produced by Sotaro Uemura. 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 Sotaro Uemura. The network helps show where Sotaro Uemura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sotaro Uemura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 2 | |
| 10 | 2019 | 2 | |
| 11 | 2018 | 64 | |
| 12 | 2018 | 77 | |
| 13 | Hydrodynamic modeling over a sand wave field at São Marcos Bay, Brazil | 2013 | 4 |
| 14 | 2011 | 45 | |
| 15 | 2008 | 38 | |
| 16 | 2004 | 145 | |
| 17 | 2003 | 1 | |
| 18 | 2003 | 105 | |
| 19 | 2003 | 44 | |
| 20 | A Method of Improving Feature Vector for Web Pages Reflecting the Contents of their Out-linked Pages | 2002 | 1 |
About Sotaro Uemura
Sotaro Uemura is a scholar working on Signal Processing, Cell Biology and Immunology, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (8 papers), Microtubule and mitosis dynamics (6 papers), Data Management and Algorithms (5 papers), Advanced Database Systems and Queries (5 papers), IL-33, ST2, and ILC Pathways (5 papers), Bacterial Genetics and Biotechnology (5 papers) and Cellular Mechanics and Interactions (4 papers). The work is most often cited by research in Structural Biology (48 citations), Cell Biology (491 citations) and Biophysics (139 citations). Sotaro Uemura has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Shin’ichi Ishiwata, Joseph D. Puglisi, Jonas Korlach, Colin Echeverría Aitken, Benjamin A. Flusberg, Stephen W. Turner, Kenji Kawaguchi, Albert Tsai, Masatoshi Yoshikawa and Hideo Higuchi. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.