Brooke E. Husic
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
Papers in ⓘ
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- Computational Drug Discovery Methods 4
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- Mass Spectrometry Techniques and Applications 5
- Co-authors
- Vijay S. Pande (12 shared papers)Frank Noé (7 shared papers)Cecilia Clementi (5 shared papers)Mohammad M. Sultan (6 shared papers)Robert T. McGibbon (7 shared papers)Carlos X. Hernández (6 shared papers)Aldo Glielmo (1 shared paper)Álex Rodríguez (1 shared paper)
- Journals
- The Journal of Chemical Physics (4 papers)Journal of Chemical Theory and Computation (2 papers)Scientific Reports (1 paper)Journal of the American Chemical Society (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Brooke E. Husic
26 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Computational Theory and Mathematics 583
- Molecular Biology 1.4k
- Materials Chemistry 859
- Spectroscopy 191
- Structural Biology 15
Countries citing papers authored by Brooke E. Husic
This map shows the geographic impact of Brooke E. Husic'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 Brooke E. Husic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brooke E. Husic more than expected).
Fields of papers citing papers by Brooke E. Husic
This network shows the impact of papers produced by Brooke E. Husic. 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 Brooke E. Husic. The network helps show where Brooke E. Husic may publish in the future.
Co-authors
The 25 scholars most cited alongside Brooke E. Husic, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Markov State Models: From an Art to a Science Hit paper breakdown → | 2018 | 560 |
| 2 | 2018 | 298 | |
| 3 | Unsupervised Learning Methods for Molecular Simulation Data Hit paper breakdown → | 2021 | 245 |
| 4 | 2017 | 193 | |
| 5 | 2020 | 121 | |
| 6 | 2018 | 104 | |
| 7 | 2017 | 65 | |
| 8 | 2023 | 62 | |
| 9 | 2022 | 58 | |
| 10 | 2019 | 52 | |
| 11 | 2016 | 42 | |
| 12 | 2021 | 41 | |
| 13 | 2018 | 40 | |
| 14 | 2017 | 36 | |
| 15 | 2017 | 32 | |
| 16 | 2016 | 28 | |
| 17 | 2023 | 19 | |
| 18 | 2016 | 13 | |
| 19 | 2017 | 11 | |
| 20 | 2021 | 10 |
About Brooke E. Husic
Brooke E. Husic is a scholar working on Computational Theory and Mathematics, Spectroscopy, Molecular Biology, Statistical and Nonlinear Physics and Materials Chemistry, having authored 26 papers that have together received 2.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (17 papers), Enzyme Structure and Function (7 papers), Machine Learning in Materials Science (6 papers), Mass Spectrometry Techniques and Applications (5 papers), Computational Drug Discovery Methods (4 papers), RNA and protein synthesis mechanisms (2 papers), Bioinformatics and Genomic Networks (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (583 citations), Molecular Biology (1.4k citations), Materials Chemistry (859 citations), Spectroscopy (191 citations) and Structural Biology (15 citations). Brooke E. Husic has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Vijay S. Pande, Frank Noé, Cecilia Clementi, Mohammad M. Sultan, Robert T. McGibbon, Carlos X. Hernández, Aldo Glielmo, Álex Rodríguez, Alessandro Laio and Nicholas E. Charron. Their work appears in journals such as The Journal of Chemical Physics, Journal of Chemical Theory and Computation, Scientific Reports, Journal of the American Chemical Society and PLoS ONE.
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.