David E. Kim

11.8k total citations · 6 hit papers
58 papers, 6.6k citations indexed

About

David E. Kim is a scholar working on Molecular Biology, Materials Chemistry and Urology. According to data from OpenAlex, David E. Kim has authored 58 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 30 papers in Materials Chemistry and 6 papers in Urology. Recurrent topics in David E. Kim's work include Protein Structure and Dynamics (34 papers), Enzyme Structure and Function (30 papers) and RNA and protein synthesis mechanisms (10 papers). David E. Kim is often cited by papers focused on Protein Structure and Dynamics (34 papers), Enzyme Structure and Function (30 papers) and RNA and protein synthesis mechanisms (10 papers). David E. Kim collaborates with scholars based in United States, Japan and Belgium. David E. Kim's co-authors include David Baker, Dylan Chivian, Frank DiMaio, Tanja Kortemme, Hahnbeom Park, James Thompson, Ray Yu‐Ruei Wang, Yifan Song, Philip Bradley and Sergey Ovchinnikov and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

David E. Kim

57 papers receiving 6.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Protein structure prediction and analysis using the Robetta server

2004 1.6k citations David E. Kim, Dylan Chivian et al. profile →
High-Resolution Comparative Modeling with RosettaCM

2013 813 citations Frank DiMaio, Ray Yu‐Ruei Wang et al. Structure profile →
Computational Alanine Scanning of Protein-Protein Interfaces

2004 460 citations David E. Kim, David Baker et al. profile →
Structure prediction for CASP8 with all‐atom refinement using Rosetta

2009 380 citations Srivatsan Raman, Robert M. Vernon et al. Proteins Structure Function and Bioinformatics profile →
Simultaneous Optimization of Biomolecular Energy Functions on Features from Small Molecules and Macromolecules

2016 352 citations Hahnbeom Park, Philip Bradley et al. profile →
Protein structure determination using metagenome sequence data

2017 350 citations Sergey Ovchinnikov, Hahnbeom Park et al. Science profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David E. Kim	5.5k	1.8k	503	488	446	58	6.6k
J. Michael Word	5.6k 1.0×	1.9k 1.1×	475 0.9×	712 1.5×	385 0.9×	14	7.3k
Pablo Chacón	4.1k 0.7×	1.1k 0.6×	589 1.2×	309 0.6×	325 0.7×	72	5.3k
Liam J. McGuffin	7.1k 1.3×	1.7k 1.0×	765 1.5×	589 1.2×	258 0.6×	76	9.0k
Hahnbeom Park	5.0k 0.9×	1.2k 0.7×	377 0.7×	654 1.3×	669 1.5×	49	6.1k
Wim Vranken	6.6k 1.2×	1.6k 0.9×	636 1.3×	767 1.6×	371 0.8×	106	8.8k
Benjamin Webb	5.2k 0.9×	875 0.5×	608 1.2×	722 1.5×	424 1.0×	28	7.1k
Barry Robson	6.8k 1.2×	1.3k 0.8×	868 1.7×	578 1.2×	439 1.0×	135	9.1k
Philip Bradley	5.4k 1.0×	1.6k 0.9×	392 0.8×	542 1.1×	650 1.5×	64	6.9k
Panagiotis L. Kastritis	4.9k 0.9×	870 0.5×	417 0.8×	765 1.6×	580 1.3×	85	6.4k
Leszek Rychlewski	5.3k 1.0×	1.6k 0.9×	692 1.4×	442 0.9×	138 0.3×	126	6.8k

Countries citing papers authored by David E. Kim

Since Specialization

Citations

This map shows the geographic impact of David E. Kim'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 David E. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Kim more than expected).

Fields of papers citing papers by David E. Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Kim. 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 David E. Kim. The network helps show where David E. Kim may publish in the future.

Co-authorship network of co-authors of David E. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of David E. Kim. A scholar is included among the top collaborators of David E. Kim 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 David E. Kim. David E. Kim 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

Kim, David E., Joseph L. Watson, David Juergens, et al.. (2025). Parametrically guided design of beta barrels and transmembrane nanopores using deep learning. Proceedings of the National Academy of Sciences. 122(38). e2425459122–e2425459122. 2 indexed citations

Harrison, Benjamin R., Mitchell Lee, K. N. Han, et al.. (2024). Wide‐ranging genetic variation in sensitivity to rapamycin in Drosophila melanogaster. Aging Cell. 23(11). e14292–e14292. 1 indexed citations

Kim, David E., Davin R. Jensen, David Feldman, et al.. (2023). De novo design of small beta barrel proteins. Proceedings of the National Academy of Sciences. 120(11). e2207974120–e2207974120. 21 indexed citations

Gu, Chenjuan, David E. Kim, Daisy Duan, et al.. (2023). Ketogenic diet acutely improves gas exchange and sleep apnoea in obesity hypoventilation syndrome: A non‐randomized crossover study. Respirology. 28(8). 784–793. 3 indexed citations

Anishchenko, Ivan, Minkyung Baek, Hahnbeom Park, et al.. (2021). Protein tertiary structure prediction and refinement using deep learning and Rosetta in CASP14. Proteins Structure Function and Bioinformatics. 89(12). 1722–1733. 35 indexed citations

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

Park, Hahnbeom, Sergey Ovchinnikov, David E. Kim, Frank DiMaio, & David Baker. (2018). Protein homology model refinement by large-scale energy optimization. Proceedings of the National Academy of Sciences. 115(12). 3054–3059. 47 indexed citations

Ovchinnikov, Sergey, Hahnbeom Park, Neha Varghese, et al.. (2017). Protein structure determination using metagenome sequence data. Science. 355(6322). 294–298. 350 indexed citations breakdown →

Hosseinzadeh, Parisa, Gaurav Bhardwaj, Vikram Khipple Mulligan, et al.. (2017). Comprehensive computational design of ordered peptide macrocycles. Science. 358(6369). 1461–1466. 156 indexed citations

10.

Ovchinnikov, Sergey, Hahnbeom Park, David E. Kim, et al.. (2016). Structure prediction using sparse simulated NOE restraints with Rosetta in CASP 11. Proteins Structure Function and Bioinformatics. 84(S1). 181–188. 15 indexed citations

11.

Ovchinnikov, Sergey, David E. Kim, Ray Yu‐Ruei Wang, et al.. (2015). Improved de novo structure prediction in CASP 11 by incorporating coevolution information into Rosetta. Proteins Structure Function and Bioinformatics. 84(S1). 67–75. 77 indexed citations

12.

Baker, David, et al.. (2007). Feature Selection Methods for Improving Protein Structure Prediction with Rosetta. Neural Information Processing Systems. 20. 137–144. 7 indexed citations

13.

Das, Rhiju, Bin Qian, Srivatsan Raman, et al.. (2007). Structure prediction for CASP7 targets using extensive all-atom refinement with Rosetta@home. Proteins Structure Function and Bioinformatics. 69(S8). 118–128. 145 indexed citations

14.

Misura, Kira M.S., Dylan Chivian, Carol A. Rohl, David E. Kim, & David Baker. (2006). Physically realistic homology models built with rosetta can be more accurate than their templates. Proceedings of the National Academy of Sciences. 103(14). 5361–5366. 135 indexed citations

15.

Chivian, Dylan, David E. Kim, Lars Malmström, et al.. (2005). Prediction of CASP6 structures using automated robetta protocols. Proteins Structure Function and Bioinformatics. 61(S7). 157–166. 116 indexed citations

16.

Bhuian, Shahid N., Alhassan G. Abdul‐Muhmin, & David E. Kim. (2002). The Relationship Between Ethical Business Practices, Government Regulations, and Consumer Rights. Business and Professional Ethics Journal. 21(1). 47–64. 6 indexed citations

17.

O’Neill, Jason, et al.. (2001). Single-Site Mutations Induce 3D Domain Swapping in the B1 Domain of Protein L from Peptostreptococcus magnus. Structure. 9(11). 1017–1027. 47 indexed citations

18.

Kuhlman, Brian, Jason O’Neill, David E. Kim, Kam Y. J. Zhang, & David Baker. (2001). Conversion of monomeric protein L to an obligate dimer by computational protein design. Proceedings of the National Academy of Sciences. 98(19). 10687–10691. 63 indexed citations

19.

Kim, David E., et al.. (1997). Contrasting roles for symmetrically disposed β-turns in the folding of a small protein. Journal of Molecular Biology. 274(4). 588–596. 71 indexed citations

20.

Kim, David E.. (1994). The Limited Value of Routine Laboratory Assessments in Severely Impaired Nursing Home Residents. JAMA. 272(18). 1447–1447. 11 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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