Gyu Rie Lee
- Molecular Biology top 10%
- Materials Chemistry
- Computational Theory and Mathematics top 5%
- Radiology, Nuclear Medicine and Imaging
- Infectious Diseases
- Co-authors
- Chaok SeokLim HeoHahnbeom ParkJonghun WonWoong‐Hee ShinHasup LeeDavid BakerIvan Anishchenko
- Topics
- Protein Structure and Dynamics (12 papers)Enzyme Structure and Function (11 papers)RNA and protein synthesis mechanisms (7 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Gyu Rie Lee
22 papers receiving 897 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 748
- Materials Chemistry 148
- Computational Theory and Mathematics 122
- Radiology, Nuclear Medicine and Imaging 99
- Infectious Diseases 66
Countries citing papers authored by Gyu Rie Lee
This map shows the geographic impact of Gyu Rie Lee'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 Gyu Rie Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gyu Rie Lee more than expected).
Fields of papers citing papers by Gyu Rie Lee
This network shows the impact of papers produced by Gyu Rie Lee. 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 Gyu Rie Lee. The network helps show where Gyu Rie Lee may publish in the future.
Co-authorship network of co-authors of Gyu Rie Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Gyu Rie Lee. A scholar is included among the top collaborators of Gyu Rie Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gyu Rie Lee. Gyu Rie Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | Atomic context-conditioned protein sequence design using LigandMPNNbreakdown → | 39 |
| 4 | 1 | |
| 5 | 19 | |
| 6 | De novo design of luciferases using deep learningbreakdown → | 241 |
| 7 | 26 | |
| 8 | 46 | |
| 9 | 5 | |
| 10 | 25 | |
| 11 | 85 | |
| 12 | 37 | |
| 13 | 9 | |
| 14 | 14 | |
| 15 | 24 | |
| 16 | 96 | |
| 17 | 10 | |
| 18 | 70 | |
| 19 | Prediction of Protein Structure and Interaction by GALAXY Protein Modeling Programs | 114 |
| 20 | 13 |
About Gyu Rie Lee
Gyu Rie Lee is a scholar working on Molecular Biology, Cell Biology and Materials Chemistry, having authored 23 papers that have together received 909 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (11 papers) and RNA and protein synthesis mechanisms (7 papers). The work is most often cited by research in Molecular Biology (748 citations), Computational Theory and Mathematics (122 citations) and Biotechnology (53 citations). Gyu Rie Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Chaok Seok, Lim Heo, Hahnbeom Park, Jonghun Won, Woong‐Hee Shin, Hasup Lee, David Baker, Ivan Anishchenko, Justas Dauparas and Yakov Kipnis. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.