Ryotaro Koike
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- RNA Research and Splicing
Papers in
- Cell Biology 10
- Cellular Mechanics and Interactions 7
- Cellular transport and secretion 3
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- Protein Structure and Dynamics 26
- RNA and protein synthesis mechanisms 7
- Machine Learning in Bioinformatics 4
- Bioinformatics and Genomic Networks 4
- RNA Research and Splicing 3
- Co-authors
- Motonori OtaAkinori KideraSatoshi FukuchiHidekazu HiroakiKazuo HosodaSeiko D. MurakamiYuichiro MaédaShuichi Takeda
- Journals
- Proteins Structure Function and Bioinformatics (6 papers)Journal of Molecular Biology (4 papers)Nucleic Acids Research (4 papers)Protein Science (3 papers)PLoS ONE (3 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Ryotaro Koike
33 papers receiving 603 citations
Peers
Comparison fields: 5 of 80
- Structural Biology 11
- Molecular Biology 488
- Cell Biology 116
- Materials Chemistry 224
- Biophysics 26
Countries citing papers authored by Ryotaro Koike
This map shows the geographic impact of Ryotaro Koike'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 Ryotaro Koike with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryotaro Koike more than expected).
Fields of papers citing papers by Ryotaro Koike
This network shows the impact of papers produced by Ryotaro Koike. 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 Ryotaro Koike. The network helps show where Ryotaro Koike may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryotaro Koike, 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 | 2 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 19 | |
| 4 | 2021 | 7 | |
| 5 | 2019 | 10 | |
| 6 | 2017 | 2 | |
| 7 | 2015 | 17 | |
| 8 | 2015 | 4 | |
| 9 | 2013 | 90 | |
| 10 | 2011 | 10 | |
| 11 | 2011 | 37 | |
| 12 | 2011 | 36 | |
| 13 | 2011 | 79 | |
| 14 | 2010 | 9 | |
| 15 | 2010 | 61 | |
| 16 | 2009 | 26 | |
| 17 | 2008 | 19 | |
| 18 | 2006 | 3 | |
| 19 | 2004 | 4 | |
| 20 | 2002 | 5 |
About Ryotaro Koike
Ryotaro Koike is a scholar working on Cell Biology, Molecular Biology, Materials Chemistry, Biophysics and Food Science, having authored 33 papers that have together received 603 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (26 papers), Enzyme Structure and Function (18 papers), Cellular Mechanics and Interactions (7 papers), RNA and protein synthesis mechanisms (7 papers), Machine Learning in Bioinformatics (4 papers), Bioinformatics and Genomic Networks (4 papers), RNA Research and Splicing (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Structural Biology (11 citations), Molecular Biology (488 citations), Cell Biology (116 citations), Materials Chemistry (224 citations) and Biophysics (26 citations). Ryotaro Koike has collaborated with scholars based in Japan and United States. Frequent co-authors include Motonori Ota, Akinori Kidera, Satoshi Fukuchi, Hidekazu Hiroaki, Kazuo Hosoda, Seiko D. Murakami, Yuichiro Maéda, Shuichi Takeda, Shigetaka Sakamoto and Yuko Nobe. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Molecular Biology, Nucleic Acids Research, Protein Science and PLoS ONE.
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.