Rie Koga
Impact in
- Molecular Medicine top 5%
- Hydrogels: synthesis, properties, applications
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
- Biochemical and Structural Characterization
- Machine Learning in Bioinformatics
Papers in
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- Protein Structure and Dynamics 11
- RNA and protein synthesis mechanisms 7
- Glycosylation and Glycoproteins Research 2
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- Enzyme Structure and Function 7
- Co-authors
- Nobuyasu Koga (12 shared papers)David Baker (5 shared papers)Gaohua Liu (3 shared papers)G.T. Montelione (3 shared papers)Rong Xiao (1 shared paper)Thomas Acton (1 shared paper)Alexander Mehlich (1 shared paper)Chunguang Hu (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Communications (2 papers)Nature Structural & Molecular Biology (2 papers)Hypertension (1 paper)Journal of Computational Chemistry (1 paper)
- Partner nations
- JapanUnited StatesHungary
In The Last Decade
Rie Koga
20 papers receiving 992 citations
Rie Koga's Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Medicine 79
- Molecular Biology 682
- Structural Biology 11
- Biomaterials 101
- Materials Chemistry 244
Countries citing papers authored by Rie Koga
This map shows the geographic impact of Rie Koga'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 Rie Koga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rie Koga more than expected).
Fields of papers citing papers by Rie Koga
This network shows the impact of papers produced by Rie Koga. 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 Rie Koga. The network helps show where Rie Koga may publish in the future.
Co-authors
The 25 scholars most cited alongside Rie Koga, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Principles for designing ideal protein structures Hit paper breakdown → | 2012 | 419 |
| 2 | 2013 | 163 | |
| 3 | 2015 | 97 | |
| 4 | 2003 | 51 | |
| 5 | 2015 | 44 | |
| 6 | 2004 | 39 | |
| 7 | 2014 | 29 | |
| 8 | 2019 | 23 | |
| 9 | 2020 | 21 | |
| 10 | 2021 | 20 | |
| 11 | 2011 | 20 | |
| 12 | 2004 | 15 | |
| 13 | 2023 | 14 | |
| 14 | 2010 | 12 | |
| 15 | 2024 | 10 | |
| 16 | 2013 | 10 | |
| 17 | 2019 | 9 | |
| 18 | 1999 | 5 | |
| 19 | 2004 | 5 | |
| 20 | 2025 | 2 |
About Rie Koga
Rie Koga is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Surgery and Ecology, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (11 papers), RNA and protein synthesis mechanisms (7 papers), Enzyme Structure and Function (7 papers), Glycosylation and Glycoproteins Research (2 papers), Barrier Structure and Function Studies (2 papers), Advanced Glycation End Products research (2 papers), Bacteriophages and microbial interactions (2 papers) and Recycling and Waste Management Techniques (1 paper). The work is most often cited by research in Molecular Medicine (79 citations), Molecular Biology (682 citations), Structural Biology (11 citations), Biomaterials (101 citations) and Materials Chemistry (244 citations). Rie Koga has collaborated with scholars based in Japan, United States and Hungary. Frequent co-authors include Nobuyasu Koga, David Baker, Gaohua Liu, G.T. Montelione, Rong Xiao, Thomas Acton, Alexander Mehlich, Chunguang Hu, Xiaoye Gao and Yu‐Ru Lin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Nature Structural & Molecular Biology, Hypertension and Journal of Computational Chemistry.
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.