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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- Protein Structure and Dynamics 17
- Metabolomics and Mass Spectrometry Studies 2
- RNA and protein synthesis mechanisms 2
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- Enzyme Structure and Function 7
- Machine Learning in Materials Science 6
- 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)Álex Rodríguez (1 shared paper)Aldo Glielmo (1 shared paper)
- Journals
- The Journal of Chemical Physics (4 papers)Journal of Chemical Theory and Computation (2 papers)Advanced Theory and Simulations (1 paper)Nature Communications (1 paper)Physical review. E (1 paper)
- Partner nations
- United StatesGermanyPoland
In The Last Decade
Brooke E. Husic
27 papers receiving 2.1k citations
Brooke E. Husic's Hit Papers
Peers
Comparison fields: 5 of 138
- Computational Theory and Mathematics 583
- Molecular Biology 1.4k
- Materials Chemistry 866
- 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 27 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 | 572 |
| 2 | 2018 | 303 | |
| 3 | Unsupervised Learning Methods for Molecular Simulation Data Hit paper breakdown → | 2021 | 264 |
| 4 | 2017 | 197 | |
| 5 | 2020 | 122 | |
| 6 | 2018 | 107 | |
| 7 | 2023 | 69 | |
| 8 | 2017 | 66 | |
| 9 | 2022 | 60 | |
| 10 | 2019 | 52 | |
| 11 | 2021 | 43 | |
| 12 | 2016 | 43 | |
| 13 | 2018 | 40 | |
| 14 | 2017 | 37 | |
| 15 | 2017 | 33 | |
| 16 | 2016 | 28 | |
| 17 | 2023 | 23 | |
| 18 | 2016 | 14 | |
| 19 | 2021 | 11 | |
| 20 | 2017 | 11 |
About Brooke E. Husic
Brooke E. Husic is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Spectroscopy and Statistical and Nonlinear Physics, having authored 27 papers that have together received 2.1k 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), Metabolomics and Mass Spectrometry Studies (2 papers), RNA and protein synthesis mechanisms (2 papers) and Theoretical and Computational Physics (2 papers). The work is most often cited by research in Computational Theory and Mathematics (583 citations), Molecular Biology (1.4k citations), Materials Chemistry (866 citations), Spectroscopy (191 citations) and Structural Biology (15 citations). Brooke E. Husic has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Vijay S. Pande, Frank Noé, Cecilia Clementi, Mohammad M. Sultan, Robert T. McGibbon, Carlos X. Hernández, Álex Rodríguez, Aldo Glielmo, Alessandro Laio and Nicholas E. Charron. Their work appears in journals such as The Journal of Chemical Physics, Journal of Chemical Theory and Computation, Advanced Theory and Simulations, Nature Communications and Physical review. E.
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.