Justas Dauparas
- Molecular Biology top 10%
- Materials Chemistry
- Biomedical Engineering
- Computational Theory and Mathematics top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- David BakerMinkyung BaekIvan AnishchenkoNaozumi HiranumaHahnbeom ParkBrian CoventrySergey OvchinnikovYakov Kipnis
- Topics
- Protein Structure and Dynamics (15 papers)RNA and protein synthesis mechanisms (9 papers)Genomics and Phylogenetic Studies (5 papers)
- Partner nations
- United StatesJapanIsrael
In The Last Decade
Justas Dauparas
19 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 945
- Materials Chemistry 193
- Biomedical Engineering 122
- Computational Theory and Mathematics 95
- Radiology, Nuclear Medicine and Imaging 87
Countries citing papers authored by Justas Dauparas
This map shows the geographic impact of Justas Dauparas'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 Justas Dauparas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justas Dauparas more than expected).
Fields of papers citing papers by Justas Dauparas
This network shows the impact of papers produced by Justas Dauparas. 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 Justas Dauparas. The network helps show where Justas Dauparas may publish in the future.
Co-authorship network of co-authors of Justas Dauparas
This figure shows the co-authorship network connecting the top 25 collaborators of Justas Dauparas. A scholar is included among the top collaborators of Justas Dauparas 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 Justas Dauparas. Justas Dauparas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Atomic context-conditioned protein sequence design using LigandMPNNbreakdown → | 39 |
| 3 | 0 | |
| 4 | 16 | |
| 5 | Computational design of soluble and functional membrane protein analoguesbreakdown → | 40 |
| 6 | Improving Protein Expression, Stability, and Function with ProteinMPNNbreakdown → | 121 |
| 7 | 6 | |
| 8 | Improving de novo protein binder design with deep learningbreakdown → | 158 |
| 9 | Peptide-binding specificity prediction using fine-tuned protein structure prediction networksbreakdown → | 63 |
| 10 | Mega-scale experimental analysis of protein folding stability in biology and designbreakdown → | 139 |
| 11 | De novo design of luciferases using deep learningbreakdown → | 241 |
| 12 | 4 | |
| 13 | 21 | |
| 14 | Hallucinating symmetric protein assembliesbreakdown → | 113 |
| 15 | 3 | |
| 16 | 15 | |
| 17 | Improved protein structure refinement guided by deep learning based accuracy estimationbreakdown → | 157 |
| 18 | 2 | |
| 19 | 35 | |
| 20 | 32 |
About Justas Dauparas
Justas Dauparas is a scholar working on Structural Biology, Molecular Biology and Hardware and Architecture, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (15 papers), RNA and protein synthesis mechanisms (9 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Molecular Biology (945 citations), Structural Biology (13 citations) and Computational Theory and Mathematics (95 citations). Justas Dauparas has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include David Baker, Minkyung Baek, Ivan Anishchenko, Naozumi Hiranuma, Hahnbeom Park, Brian Coventry, Sergey Ovchinnikov, Yakov Kipnis, Lauren Carter and Samuel J. Pellock. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.