Charles L. Brooks
- Molecular Biology top 0.02%
- Protein Structure and Dynamics 241
- RNA and protein synthesis mechanisms 80
- DNA and Nucleic Acid Chemistry 42
- Structural Biology top 0.5%
- Spectroscopy top 0.05%
- Mass Spectrometry Techniques and Applications 28
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- Spectroscopy and Quantum Chemical Studies 77
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods 27
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- Enzyme Structure and Function 110
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- Bacteriophages and microbial interactions 27
- Co-authors
- Michael FeigAlexander D. MacKerellMartin KarplusWonpil ImD.J. PriceFlorence TamaJohn KaranicolasMichael S. Lee
- Partner nations
- United StatesGermanyChina
In The Last Decade
Charles L. Brooks
420 papers receiving 39.9k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Molecular Biology 29.7k
- Structural Biology 453
- Spectroscopy 4.5k
- Atomic and Molecular Physics, and Optics 8.1k
- Computational Theory and Mathematics 3.7k
Countries citing papers authored by Charles L. Brooks
This map shows the geographic impact of Charles L. Brooks'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 Charles L. Brooks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles L. Brooks more than expected).
Fields of papers citing papers by Charles L. Brooks
This network shows the impact of papers produced by Charles L. Brooks. 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 Charles L. Brooks. The network helps show where Charles L. Brooks may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Charles L. Brooks, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 10 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 9 | |
| 7 | 2019 | 33 | |
| 8 | 2015 | 15 | |
| 9 | Membrane Environment Modulates the pKa Values of Transmembrane Helices | 2015 | 0 |
| 10 | 2014 | 50 | |
| 11 | 2014 | 140 | |
| 12 | 2013 | 60 | |
| 13 | 2011 | 50 | |
| 14 | 2007 | 141 | |
| 15 | 2005 | 26 | |
| 16 | Study of a highly accurate and fast protein–ligand docking method based on molecular dynamics: Research Articles | 2005 | 11 |
| 17 | 2005 | 61 | |
| 18 | Studying protein folding on the Grid: experiences using CHARMM on NPACI resources under Legion: Research Articles | 2004 | 1 |
| 19 | 2003 | 54 | |
| 20 | 1989 | 78 |
About Charles L. Brooks
Charles L. Brooks is a scholar working on Molecular Biology, Structural Biology and Spectroscopy, having authored 427 papers that have together received 40.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (241 papers), Enzyme Structure and Function (110 papers), RNA and protein synthesis mechanisms (80 papers), Spectroscopy and Quantum Chemical Studies (77 papers), DNA and Nucleic Acid Chemistry (42 papers), Mass Spectrometry Techniques and Applications (28 papers), Bacteriophages and microbial interactions (27 papers) and Computational Drug Discovery Methods (27 papers). The work is most often cited by research in Molecular Biology (29.7k citations), Structural Biology (453 citations) and Spectroscopy (4.5k citations). Charles L. Brooks has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Michael Feig, Alexander D. MacKerell, Martin Karplus, Wonpil Im, D.J. Price, Florence Tama, John Karanicolas, Michael S. Lee, Sandeep Patel and Douglas J. Tobias. Their work appears in journals such as Nature, Science and Chemical Reviews.
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.