David Baker
- Molecular Biology top 0.01%
- Protein Structure and Dynamics 350
- RNA and protein synthesis mechanisms 201
- Machine Learning in Bioinformatics 39
- Glycosylation and Glycoproteins Research 38
- Structural Biology top 0.1%
- Materials Chemistry top 0.05%
- Enzyme Structure and Function 262
- Computational Theory and Mathematics top 0.02%
- Spectroscopy top 0.05%
- Mass Spectrometry Techniques and Applications 32
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- Monoclonal and Polyclonal Antibodies Research 62
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- Bacteriophages and microbial interactions 48
- Co-authors
- David E. KimKim T. SimonsTanja KortemmeBrian KuhlmanFrank DiMaioDylan ChivianRhiju DasCarol A. Rohl
- Journals
- Proceedings of the National Academy of Sciences (84 papers)Proteins Structure Function and Bioinformatics (57 papers)Journal of Molecular Biology (54 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
David Baker
768 papers receiving 85.1k citations
Hit Papers
Peers
Comparison fields: 5 of 230
- Molecular Biology 67.9k
- Structural Biology 990
- Materials Chemistry 22.7k
- Computational Theory and Mathematics 5.4k
- Spectroscopy 5.6k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 16 | |
| 2 | 2022 | 17 | |
| 3 | 2021 | 86 | |
| 4 | 2021 | 15 | |
| 5 | Protein interaction networks revealed by proteome coevolutionbreakdown → | 2019 | 150 |
| 6 | 2018 | 47 | |
| 7 | 2017 | 96 | |
| 8 | Protein structure determination using metagenome sequence databreakdown → | 2017 | 350 |
| 9 | 2017 | 57 | |
| 10 | 2017 | 92 | |
| 11 | 2016 | 15 | |
| 12 | 2014 | 87 | |
| 13 | Assessing the utility of coevolution-based residue–residue contact predictions in a sequence- and structure-rich erabreakdown → | 2013 | 490 |
| 14 | Computational Design of Self-Assembling Protein Nanomaterials with Atomic Level Accuracybreakdown → | 2012 | 522 |
| 15 | 2009 | 150 | |
| 16 | 2008 | 72 | |
| 17 | 2008 | 144 | |
| 18 | Consistent blind protein structure generation from NMR chemical shift databreakdown → | 2008 | 669 |
| 19 | 2006 | 135 | |
| 20 | 2005 | 287 |
About David Baker
David Baker is a scholar working on Molecular Biology, Structural Biology and Materials Chemistry, having authored 791 papers that have together received 86.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (350 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 (48 papers), Machine Learning in Bioinformatics (39 papers), Glycosylation and Glycoproteins Research (38 papers) and Mass Spectrometry Techniques and Applications (32 papers). The work is most often cited by research in Molecular Biology (67.9k citations), Structural Biology (990 citations) and Materials Chemistry (22.7k 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, Carol A. Rohl, Sergey Ovchinnikov and Kira M.S. Misura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Proteins Structure Function and Bioinformatics, Journal of Molecular Biology, Protein Science and Nature.
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.