Ryosuke Imai
Impact in
- Structural Biology top 5%
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- RNA Research and Splicing 5
- Genomics and Chromatin Dynamics 5
- Genomics and Phylogenetic Studies 3
- Co-authors
- Kazuhiro Maeshima (9 shared papers)Sachiko Tamura (7 shared papers)Tadasu Nozaki (5 shared papers)Tomomi Tani (3 shared papers)Kayo Hibino (3 shared papers)Masato T. Kanemaki (3 shared papers)Takeharu Nagai (2 shared papers)Yasumasa Joti (2 shared papers)
- Journals
- Scientific Reports (2 papers)Electronics Letters (2 papers)eLife (2 papers)Conservation Genetics (1 paper)Heredity (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Ryosuke Imai
40 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Structural Biology 40
- Biophysics 100
- Molecular Biology 879
- Artificial Intelligence 175
- Plant Science 197
Countries citing papers authored by Ryosuke Imai
This map shows the geographic impact of Ryosuke Imai'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 Ryosuke Imai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryosuke Imai more than expected).
Fields of papers citing papers by Ryosuke Imai
This network shows the impact of papers produced by Ryosuke Imai. 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 Ryosuke Imai. The network helps show where Ryosuke Imai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryosuke Imai, 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 | 2017 | 319 | |
| 2 | Qulacs: a fast and versatile quantum circuit simulator for research purpose Hit paper breakdown → | 2021 | 187 |
| 3 | 2019 | 148 | |
| 4 | 2014 | 142 | |
| 5 | 2018 | 118 | |
| 6 | 2017 | 67 | |
| 7 | 2020 | 58 | |
| 8 | 2016 | 52 | |
| 9 | 2014 | 24 | |
| 10 | 2016 | 21 | |
| 11 | 2021 | 15 | |
| 12 | 2018 | 15 | |
| 13 | 1999 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2018 | 12 | |
| 16 | 2019 | 12 | |
| 17 | 2019 | 12 | |
| 18 | 2023 | 9 | |
| 19 | 2002 | 8 | |
| 20 | 2014 | 7 |
About Ryosuke Imai
Ryosuke Imai is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Aerospace Engineering and Ecology, Evolution, Behavior and Systematics, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (5 papers), Genetic diversity and population structure (4 papers), Plant and animal studies (4 papers), Satellite Communication Systems (4 papers), Genomics and Phylogenetic Studies (3 papers), Cold Atom Physics and Bose-Einstein Condensates (3 papers) and Wireless Communication Networks Research (3 papers). The work is most often cited by research in Structural Biology (40 citations), Biophysics (100 citations), Molecular Biology (879 citations), Artificial Intelligence (175 citations) and Plant Science (197 citations). Ryosuke Imai has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kazuhiro Maeshima, Sachiko Tamura, Tadasu Nozaki, Tomomi Tani, Kayo Hibino, Masato T. Kanemaki, Takeharu Nagai, Yasumasa Joti, Masaru Tomita and Yasushi Okada. Their work appears in journals such as Scientific Reports, Electronics Letters, eLife, Conservation Genetics and Heredity.
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.