David Baker
Impact in
- Molecular Biology top 0.01%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Machine Learning in Bioinformatics
- Enzyme Catalysis and Immobilization
- Structural Biology top 0.1%
Papers in
-
- Protein Structure and Dynamics 348
- RNA and protein synthesis mechanisms 201
- Glycosylation and Glycoproteins Research 38
- Machine Learning in Bioinformatics 38
-
- Enzyme Structure and Function 262
- Co-authors
- David E. Kim (39 shared papers)Kim T. Simons (13 shared papers)Tanja Kortemme (22 shared papers)Brian Kuhlman (18 shared papers)Frank DiMaio (61 shared papers)Dylan Chivian (15 shared papers)Rhiju Das (14 shared papers)Barry Stoddard (33 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (85 papers)Proteins Structure Function and Bioinformatics (57 papers)Journal of Molecular Biology (54 papers)Nature (44 papers)Protein Science (44 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
David Baker
768 papers receiving 86.6k citations
David Baker's Hit Papers
Peers
Comparison fields: 5 of 226
- Molecular Biology 67.0k
- Structural Biology 988
- Materials Chemistry 21.8k
- Spectroscopy 5.5k
- Virology 1.4k
Countries citing papers authored by David Baker
This map shows the geographic impact of David Baker'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 Baker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Baker more than expected).
Fields of papers citing papers by David Baker
This network shows the impact of papers produced by David Baker. 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 Baker. The network helps show where David Baker may publish in the future.
Co-authors
The 25 scholars most cited alongside David Baker, 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 790 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Protein structure prediction and analysis using the Robetta server Hit paper breakdown → | 2004 | 1629 |
| 2 | Quantitative reactivity profiling predicts functional cysteines in proteomes Hit paper breakdown → | 2010 | 1371 |
| 3 | Contact order, transition state placement and the refolding rates of single domain proteins 1 1Edited by P. E. Wright Hit paper breakdown → | 1998 | 1285 |
| 4 | Protein Structure Prediction Using Rosetta Hit paper breakdown → | 2004 | 1283 |
| 5 | Design of a Novel Globular Protein Fold with Atomic-Level Accuracy Hit paper breakdown → | 2003 | 1270 |
| 6 | Protein Structure Prediction and Structural Genomics Hit paper breakdown → | 2001 | 1228 |
| 7 | Improving physical realism, stereochemistry, and side‐chain accuracy in homology modeling: Four approaches that performed well in CASP8 Hit paper breakdown → | 2009 | 1122 |
| 8 | Assembly of protein tertiary structures from fragments with similar local sequences using simulated annealing and bayesian scoring functions Hit paper breakdown → | 1997 | 1096 |
| 9 | The coming of age of de novo protein design Hit paper breakdown → | 2016 | 1038 |
| 10 | Kemp elimination catalysts by computational enzyme design Hit paper breakdown → | 2008 | 988 |
| 11 | The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design Hit paper breakdown → | 2017 | 977 |
| 12 | Improved protein structure prediction using predicted interresidue orientations Hit paper breakdown → | 2020 | 950 |
| 13 | De Novo Computational Design of Retro-Aldol Enzymes Hit paper breakdown → | 2008 | 903 |
| 14 | Protein–Protein Docking with Simultaneous Optimization of Rigid-body Displacement and Side-chain Conformations Hit paper breakdown → | 2003 | 886 |
| 15 | Predicting protein structures with a multiplayer online game Hit paper breakdown → | 2010 | 877 |
| 16 | High-Resolution Comparative Modeling with RosettaCM Hit paper breakdown → | 2013 | 824 |
| 17 | Macromolecular Modeling with Rosetta Hit paper breakdown → | 2008 | 754 |
| 18 | Computational Design of an Enzyme Catalyst for a Stereoselective Bimolecular Diels-Alder Reaction Hit paper breakdown → | 2010 | 696 |
| 19 | Consistent blind protein structure generation from NMR chemical shift data Hit paper breakdown → | 2008 | 675 |
| 20 | Native protein sequences are close to optimal for their structures Hit paper breakdown → | 2000 | 663 |
About David Baker
David Baker is a scholar working on Molecular Biology, Materials Chemistry, Radiology, Nuclear Medicine and Imaging, Spectroscopy and Ecology, having authored 790 papers that have together received 88.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (348 papers), Enzyme Structure and Function (262 papers), RNA and protein synthesis mechanisms (201 papers), Monoclonal and Polyclonal Antibodies Research (62 papers), Bacteriophages and microbial interactions (49 papers), Glycosylation and Glycoproteins Research (38 papers), Machine Learning in Bioinformatics (38 papers) and Mass Spectrometry Techniques and Applications (31 papers). The work is most often cited by research in Molecular Biology (67.0k citations), Structural Biology (988 citations), Materials Chemistry (21.8k citations), Spectroscopy (5.5k citations) and Virology (1.4k citations). David Baker has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David E. Kim, Kim T. Simons, Tanja Kortemme, Brian Kuhlman, Frank DiMaio, Dylan Chivian, Rhiju Das, Barry Stoddard, Sergey Ovchinnikov and Carol A. Rohl. Their work appears in journals such as Proceedings of the National Academy of Sciences, Proteins Structure Function and Bioinformatics, Journal of Molecular Biology, Nature and Protein Science.
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.