Gyu Rie Lee

8.6k total citations · 2 hit papers
23 papers, 909 citations indexed

About

Gyu Rie Lee is a scholar working on Molecular Biology, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gyu Rie Lee has authored 23 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Materials Chemistry and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gyu Rie Lee's work include Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (11 papers) and RNA and protein synthesis mechanisms (7 papers). Gyu Rie Lee is often cited by papers focused on Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (11 papers) and RNA and protein synthesis mechanisms (7 papers). Gyu Rie Lee collaborates with scholars based in South Korea, United States and United Kingdom. Gyu Rie Lee's co-authors include Chaok Seok, Lim Heo, Hahnbeom Park, Jonghun Won, Woong‐Hee Shin, David Baker, Hasup Lee, Ivan Anishchenko, Justas Dauparas and Samuel J. Pellock and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Gyu Rie Lee

22 papers receiving 897 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

De novo design of luciferases using deep learning

2023 241 citations Hsien‐Wei Yeh, Christoffer Norn et al. Nature profile →
Atomic context-conditioned protein sequence design using LigandMPNN

2025 39 citations Justas Dauparas, Gyu Rie Lee et al. Nature Methods profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gyu Rie Lee South Korea	14	748	148	122	99	66	23	909
Jean Marc Kwasigroch Belgium	13	939 1.3×	222 1.5×	97 0.8×	103 1.0×	99 1.5×	19	1.2k
Guy Nimrod Israel	9	804 1.1×	97 0.7×	72 0.6×	102 1.0×	83 1.3×	13	1.0k
Gert‐Jan Bekker Japan	17	678 0.9×	182 1.2×	114 0.9×	121 1.2×	27 0.4×	42	1.0k
Sebastian Bittrich United States	12	762 1.0×	162 1.1×	131 1.1×	32 0.3×	69 1.0×	23	1.1k
Edoardo Milanetti Italy	20	592 0.8×	107 0.7×	127 1.0×	103 1.0×	157 2.4×	65	934
Mateusz Kurciński Poland	16	1.1k 1.4×	219 1.5×	256 2.1×	186 1.9×	82 1.2×	28	1.3k
Chia‐Ying Huang Switzerland	19	734 1.0×	268 1.8×	48 0.4×	68 0.7×	65 1.0×	45	1.1k
Panagiotis I. Koukos Netherlands	13	907 1.2×	123 0.8×	186 1.5×	107 1.1×	151 2.3×	20	1.3k
Brian Coventry United States	10	713 1.0×	105 0.7×	133 1.1×	145 1.5×	278 4.2×	16	1.0k
Hannes Braberg United States	14	1.6k 2.1×	133 0.9×	102 0.8×	31 0.3×	66 1.0×	19	1.8k

Countries citing papers authored by Gyu Rie Lee

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Anishchenko, Ivan, Yakov Kipnis, Indrek Kalvet, et al.. (2025). Modeling protein–small molecule conformational ensembles with PLACER. Proceedings of the National Academy of Sciences. 122(45). e2427161122–e2427161122. 3 indexed citations

Glasscock, Cameron J., Ryan McHugh, Lindsey Doyle, et al.. (2025). Computational design of sequence-specific DNA-binding proteins. Nature Structural & Molecular Biology. 32(11). 2252–2261. 1 indexed citations

Chen, Jianjun, et al.. (2025). De Novo Design of High-Performance Cortisol Luminescent Biosensors. Journal of the American Chemical Society. 147(31). 27494–27505.

Dauparas, Justas, Gyu Rie Lee, Linna An, et al.. (2025). Atomic context-conditioned protein sequence design using LigandMPNN. Nature Methods. 22(4). 717–723. 39 indexed citations breakdown →

Baek, Minkyung, et al.. (2024). Protein Ensemble Generation Through Variational Autoencoder Latent Space Sampling. Journal of Chemical Theory and Computation. 20(7). 2689–2695. 19 indexed citations

Yeh, Hsien‐Wei, Christoffer Norn, Yakov Kipnis, et al.. (2023). De novo design of luciferases using deep learning. Nature. 614(7949). 774–780. 241 indexed citations breakdown →

Kim, Seeun, Gyu Rie Lee, Sohee Kwon, et al.. (2022). Evaluating GPCR modeling and docking strategies in the era of deep learning-based protein structure prediction. Computational and Structural Biotechnology Journal. 21. 158–167. 26 indexed citations

Seok, Chaok, Minkyung Baek, Martin Steinegger, et al.. (2021). Accurate protein structure prediction: what comes next?. 9(3). 47–50. 46 indexed citations

An, Linna & Gyu Rie Lee. (2020). De Novo Protein Design Using the Blueprint Builder in Rosetta. Current Protocols in Protein Science. 102(1). e116–e116. 5 indexed citations

10.

Park, Hahnbeom, Gyu Rie Lee, David E. Kim, et al.. (2019). High‐accuracy refinement using Rosetta in CASP13. Proteins Structure Function and Bioinformatics. 87(12). 1276–1282. 25 indexed citations

11.

Lee, Gyu Rie, Jonghun Won, Lim Heo, & Chaok Seok. (2019). GalaxyRefine2: simultaneous refinement of inaccurate local regions and overall protein structure. Nucleic Acids Research. 47(W1). W451–W455. 85 indexed citations

12.

Bang, Injin, Hee Ryung Kim, Andrew H. Beaven, et al.. (2018). Biophysical and functional characterization of Norrin signaling through Frizzled4. Proceedings of the National Academy of Sciences. 115(35). 8787–8792. 37 indexed citations

13.

Kang, Hyunook, Gyu Rie Lee, Chaok Seok, et al.. (2017). Cell–cell adhesion in metazoans relies on evolutionarily conserved features of the α-catenin·β-catenin–binding interface. Journal of Biological Chemistry. 292(40). 16477–16490. 9 indexed citations

14.

Xu, Qifang, Panagiotis Katsonis, Olivier Lichtarge, et al.. (2017). Benchmarking predictions of allostery in liver pyruvate kinase in CAGI4. Human Mutation. 38(9). 1123–1131. 14 indexed citations

15.

Lee, Gyu Rie & Chaok Seok. (2016). Galaxy7TM: flexible GPCR–ligand docking by structure refinement. Nucleic Acids Research. 44(W1). W502–W506. 24 indexed citations

16.

Lee, Gyu Rie, Lim Heo, & Chaok Seok. (2015). Effective protein model structure refinement by loop modeling and overall relaxation. Proteins Structure Function and Bioinformatics. 84(S1). 293–301. 96 indexed citations

17.

Shin, Woong‐Hee, Gyu Rie Lee, & Chaok Seok. (2015). Evaluation of GalaxyDock Based on the Community Structure–Activity Resource 2013 and 2014 Benchmark Studies. Journal of Chemical Information and Modeling. 56(6). 988–995. 10 indexed citations

18.

Park, Hahnbeom, Gyu Rie Lee, Lim Heo, & Chaok Seok. (2014). Protein Loop Modeling Using a New Hybrid Energy Function and Its Application to Modeling in Inaccurate Structural Environments. PLoS ONE. 9(11). e113811–e113811. 70 indexed citations

19.

Shin, Woong‐Hee, Gyu Rie Lee, Lim Heo, Hasup Lee, & Chaok Seok. (2014). Prediction of Protein Structure and Interaction by GALAXY Protein Modeling Programs. 2(1). 1–11. 114 indexed citations

20.

Lee, Gyu Rie, Woong‐Hee Shin, Hahnbeom Park, Seokmin Shin, & Chaok Seok. (2012). Conformational Sampling of Flexible Ligand-binding Protein Loops. Bulletin of the Korean Chemical Society. 33(3). 770–774. 13 indexed citations

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.

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