Brooke E. Husic

3.3k total citations · 2 hit papers
26 papers, 2.0k citations indexed

About

Brooke E. Husic is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Brooke E. Husic has authored 26 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Materials Chemistry and 5 papers in Computational Theory and Mathematics. Recurrent topics in Brooke E. Husic's work include Protein Structure and Dynamics (17 papers), Enzyme Structure and Function (7 papers) and Machine Learning in Materials Science (6 papers). Brooke E. Husic is often cited by papers focused on Protein Structure and Dynamics (17 papers), Enzyme Structure and Function (7 papers) and Machine Learning in Materials Science (6 papers). Brooke E. Husic collaborates with scholars based in United States, Germany and United Kingdom. Brooke E. Husic's co-authors include Vijay S. Pande, Frank Noé, Cecilia Clementi, Mohammad M. Sultan, Robert T. McGibbon, Carlos X. Hernández, Aldo Glielmo, Alessandro Laio, Álex Rodríguez and Nicholas E. Charron and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Brooke E. Husic

26 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Markov State Models: From an Art to a Science

2018 560 citations Brooke E. Husic, Vijay S. Pande Journal of the American Chemical Society profile →
Unsupervised Learning Methods for Molecular Simulation Data

2021 245 citations Brooke E. Husic, Cecilia Clementi et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Brooke E. Husic United States	17	1.4k	859	583	214	191	26	2.0k
Simon Olsson Sweden	21	1.0k 0.7×	809 0.9×	337 0.6×	184 0.9×	218 1.1×	51	1.7k
Christoph Wehmeyer Germany	12	1.3k 0.9×	646 0.8×	313 0.5×	203 0.9×	219 1.1×	15	1.9k
Jan-Hendrik Prinz Germany	13	1.8k 1.3×	541 0.6×	265 0.5×	358 1.7×	390 2.0×	17	2.2k
Alexander Nelson United Kingdom	5	1.5k 1.0×	841 1.0×	463 0.8×	169 0.8×	100 0.5×	8	2.7k
Fabian Paul Germany	14	1.6k 1.2×	485 0.6×	285 0.5×	219 1.0×	306 1.6×	17	2.0k
Payel Das United States	31	1.2k 0.9×	718 0.8×	405 0.7×	164 0.8×	114 0.6×	86	2.3k
Bettina G. Keller Germany	22	2.0k 1.4×	507 0.6×	259 0.4×	426 2.0×	366 1.9×	63	2.6k
Guillermo Pérez‐Hernández Germany	13	1.5k 1.1×	445 0.5×	210 0.4×	254 1.2×	298 1.6×	22	2.0k
Matthew P. Harrigan United States	10	2.6k 1.8×	834 1.0×	483 0.8×	419 2.0×	383 2.0×	15	3.6k
M J Harvey United Kingdom	19	1.4k 1.0×	484 0.6×	366 0.6×	161 0.8×	242 1.3×	64	2.5k

Countries citing papers authored by Brooke E. Husic

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Brooke E. Husic

This figure shows the co-authorship network connecting the top 25 collaborators of Brooke E. Husic. A scholar is included among the top collaborators of Brooke E. Husic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brooke E. Husic. Brooke E. Husic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Landry, Brian P., Brooke E. Husic, David E. Cantonwine, et al.. (2023). Validation of a non-invasive prenatal test for fetal RhD, C, c, E, K and Fya antigens. Scientific Reports. 13(1). 12786–12786. 19 indexed citations

Majewski, Maciej, Adrià Pérez, Stefan H. Doerr, et al.. (2023). Machine learning coarse-grained potentials of protein thermodynamics. Nature Communications. 14(1). 5739–5739. 62 indexed citations

Chen, Yaoyi, Andreas Krämer, Nicholas E. Charron, et al.. (2022). Machine learning implicit solvation for molecular dynamics. Refubium (Universitätsbibliothek der Freien Universität Berlin). 58 indexed citations

Wang, Jiang, Nicholas E. Charron, Brooke E. Husic, et al.. (2021). Multi-body effects in a coarse-grained protein force field. The Journal of Chemical Physics. 154(16). 164113–164113. 41 indexed citations

Husic, Brooke E., Nicholas E. Charron, Dominik Lemm, et al.. (2020). Coarse graining molecular dynamics with graph neural networks. Refubium (Universitätsbibliothek der Freien Universität Berlin). 121 indexed citations

Röder, Konstantin, Jerelle A. Joseph, Brooke E. Husic, & David J. Wales. (2019). Energy Landscapes for Proteins: From Single Funnels to Multifunctional Systems. Advanced Theory and Simulations. 2(4). 52 indexed citations

Husic, Brooke E., et al.. (2019). Simultaneous coherent structure coloring facilitates interpretable clustering of scientific data by amplifying dissimilarity. PLoS ONE. 14(3). e0212442–e0212442. 5 indexed citations

Wehmeyer, Christoph, Martin K. Scherer, Tim Hempel, et al.. (2018). Introduction to Markov state modeling with the PyEMMA software [Article v1.0]. 1(1). 5965–5965. 40 indexed citations

Hernández, Carlos X., Hannah K. Wayment-Steele, Mohammad M. Sultan, Brooke E. Husic, & Vijay S. Pande. (2018). Variational encoding of complex dynamics. Physical review. E. 97(6). 62412–62412. 104 indexed citations

10.

Husic, Brooke E. & Vijay S. Pande. (2018). Markov State Models: From an Art to a Science. Journal of the American Chemical Society. 140(7). 2386–2396. 560 indexed citations breakdown →

11.

Feinberg, Evan N., Zhenqin Wu, Brooke E. Husic, et al.. (2018). PotentialNet for Molecular Property Prediction. ACS Central Science. 4(11). 1520–1530. 298 indexed citations

12.

McGibbon, Robert T., Brooke E. Husic, & Vijay S. Pande. (2017). Identification of simple reaction coordinates from complex dynamics. The Journal of Chemical Physics. 146(4). 44109–44109. 65 indexed citations

13.

Harrigan, Matthew P., Mohammad M. Sultan, Carlos X. Hernández, et al.. (2017). MSMBuilder: Statistical Models for Biomolecular Dynamics. Biophysical Journal. 112(1). 10–15. 193 indexed citations

14.

Husic, Brooke E., Keri A. McKiernan, Hannah K. Wayment-Steele, Mohammad M. Sultan, & Vijay S. Pande. (2017). A Minimum Variance Clustering Approach Produces Robust and Interpretable Coarse-Grained Models. Journal of Chemical Theory and Computation. 14(2). 1071–1082. 11 indexed citations

15.

Husic, Brooke E. & Vijay S. Pande. (2017). Ward Clustering Improves Cross-Validated Markov State Models of Protein Folding. Journal of Chemical Theory and Computation. 13(3). 963–967. 32 indexed citations

16.

Husic, Brooke E., Robert T. McGibbon, Mohammad M. Sultan, & Vijay S. Pande. (2016). Optimized parameter selection reveals trends in Markov state models for protein folding. The Journal of Chemical Physics. 145(19). 194103–194103. 42 indexed citations

17.

Husic, Brooke E., D. Schebarchov, & David J. Wales. (2016). Impurity effects on solid–solid transitions in atomic clusters. Nanoscale. 8(43). 18326–18340. 13 indexed citations

18.

McGibbon, Robert T., Carlos X. Hernández, Matthew P. Harrigan, et al.. (2016). osprey: Osprey 1.0.0. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

19.

McGibbon, Robert T., Carlos X. Hernández, Matthew P. Harrigan, et al.. (2016). Osprey: Hyperparameter Optimization for Machine Learning. The Journal of Open Source Software. 1(5). 34–34. 28 indexed citations

20.

McGibbon, Robert T., Matthew P. Harrigan, Bharath Ramsundar, et al.. (2016). msmbuilder: MSMBuilder 3.5. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

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.

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