Roland L. Dunbrack
- Molecular Biology top 0.2%
- Protein Structure and Dynamics 50
- Glycosylation and Glycoproteins Research 17
- Machine Learning in Bioinformatics 16
- Genomics and Phylogenetic Studies 14
- RNA and protein synthesis mechanisms 13
- Ubiquitin and proteasome pathways 10
- Computational Theory and Mathematics top 0.2%
- Materials Chemistry top 1%
- Enzyme Structure and Function 45
- Cell Biology top 1%
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- Monoclonal and Polyclonal Antibodies Research 10
- Co-authors
- Maxim V. ShapovalovGuoli WangAdrian A. CanutescuFred E. CohenMartin KarplusAndrey ShelenkovVivek ModiRobert W. Williams
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Journal of the American Chemical Society (3 papers)Nucleic Acids Research (5 papers)
- Partner nations
- United StatesRussiaSpain
In The Last Decade
Roland L. Dunbrack
157 papers receiving 16.4k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Molecular Biology 13.6k
- Computational Theory and Mathematics 1.6k
- Materials Chemistry 4.1k
- Cell Biology 1.1k
- Radiology, Nuclear Medicine and Imaging 1.5k
Countries citing papers authored by Roland L. Dunbrack
This map shows the geographic impact of Roland L. Dunbrack'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 Roland L. Dunbrack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roland L. Dunbrack more than expected).
Fields of papers citing papers by Roland L. Dunbrack
This network shows the impact of papers produced by Roland L. Dunbrack. 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 Roland L. Dunbrack. The network helps show where Roland L. Dunbrack may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roland L. Dunbrack, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 58 | |
| 8 | 2021 | 23 | |
| 9 | 2019 | 9 | |
| 10 | 2019 | 16 | |
| 11 | The Rosetta All-Atom Energy Function for Macromolecular Modeling and Designbreakdown → | 2017 | 942 |
| 12 | 2013 | 80 | |
| 13 | 2013 | 19 | |
| 14 | 2010 | 139 | |
| 15 | PPARγ mediated PTEN transcription via rosiglitazone stimulation | 2005 | 1 |
| 16 | Promotion of tumor growth by murine fibroblast activation protein, a serine protease, in an animal model. | 2002 | 198 |
| 17 | 2002 | 5 | |
| 18 | 2000 | 42 | |
| 19 | 1997 | 44 | |
| 20 | 1997 | 461 |
About Roland L. Dunbrack
Roland L. Dunbrack is a scholar working on Molecular Biology, Materials Chemistry and Cell Biology, having authored 159 papers that have together received 16.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (50 papers), Enzyme Structure and Function (45 papers), Glycosylation and Glycoproteins Research (17 papers), Machine Learning in Bioinformatics (16 papers), Genomics and Phylogenetic Studies (14 papers), RNA and protein synthesis mechanisms (13 papers), Ubiquitin and proteasome pathways (10 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). The work is most often cited by research in Molecular Biology (13.6k citations), Computational Theory and Mathematics (1.6k citations) and Materials Chemistry (4.1k citations). Roland L. Dunbrack has collaborated with scholars based in United States, Russia and Spain. Frequent co-authors include Maxim V. Shapovalov, Guoli Wang, Adrian A. Canutescu, Fred E. Cohen, Martin Karplus, Andrey Shelenkov, Vivek Modi, Martin Karplus, Robert W. Williams and A. Keith Dunker. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.