Kyle A. Beauchamp

11.5k total citations · 4 hit papers
44 papers, 7.4k citations indexed

About

Kyle A. Beauchamp is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Kyle A. Beauchamp has authored 44 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 12 papers in Materials Chemistry and 10 papers in Spectroscopy. Recurrent topics in Kyle A. Beauchamp's work include Protein Structure and Dynamics (21 papers), Enzyme Structure and Function (8 papers) and Mass Spectrometry Techniques and Applications (7 papers). Kyle A. Beauchamp is often cited by papers focused on Protein Structure and Dynamics (21 papers), Enzyme Structure and Function (8 papers) and Mass Spectrometry Techniques and Applications (7 papers). Kyle A. Beauchamp collaborates with scholars based in United States, Norway and France. Kyle A. Beauchamp's co-authors include Vijay S. Pande, Gregory R. Bowman, Robert T. McGibbon, Lee‐Ping Wang, Thomas J. Lane, Matthew P. Harrigan, Jason Swails, Peter Eastman, John D. Chodera and Christoph Klein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Chemical Physics.

In The Last Decade

Kyle A. Beauchamp

40 papers receiving 7.4k 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.

OpenMM 7: Rapid development of high performance algorithms for molecular dynamics

2017 1.7k citations Peter Eastman, Jason Swails et al. PLoS Computational Biology profile →
MDTraj: A Modern Open Library for the Analysis of Molecular Dynamics Trajectories

2015 1.5k citations Robert T. McGibbon, Kyle A. Beauchamp et al. Biophysical Journal profile →
OpenMM 4: A Reusable, Extensible, Hardware Independent Library for High Performance Molecular Simulation

2012 540 citations Peter Eastman, John D. Chodera et al. Journal of Chemical Theory and Computation profile →
Everything you wanted to know about Markov State Models but were afraid to ask

2010 522 citations Vijay S. Pande, Kyle A. Beauchamp et al. Methods profile →

Peers

Countries citing papers authored by Kyle A. Beauchamp

Since Specialization

Citations

This map shows the geographic impact of Kyle A. Beauchamp'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 Kyle A. Beauchamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle A. Beauchamp more than expected).

Fields of papers citing papers by Kyle A. Beauchamp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle A. Beauchamp. 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 Kyle A. Beauchamp. The network helps show where Kyle A. Beauchamp may publish in the future.

Co-authorship network of co-authors of Kyle A. Beauchamp

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle A. Beauchamp. A scholar is included among the top collaborators of Kyle A. Beauchamp 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 Kyle A. Beauchamp. Kyle A. Beauchamp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Actionable Structural Variant Detection via RNA-NGS and DNA-NGS in Patients With Advanced Non–Small Cell Lung Cancer 2024 ·JAMA Network Open ·(unknown), Rotem Ben‐Shachar, Josephine Feliciano, (unknown), Kyle A. Beauchamp, (unknown), Adam J. Hockenberry, Genelle F. Harrison, John Guittar, Catarina Catela, Jerod Parsons, Ezra E.W. Cohen, Kate Sasser, Halla Nimeiri, Justin Guinney, Jyoti D. Patel, Daniel Morgensztern	5
2	Validation of a Transcriptome-Based Assay for Classifying Cancers of Unknown Primary Origin 2023 ·Molecular Diagnosis & Therapy ·Jackson Michuda, Alessandra Breschi, (unknown), (unknown), (unknown), (unknown), (unknown), Catherine Igartua, Joel T. Dudley, Martin C. Stumpe, Nike Beaubier, (unknown), Ryan Jones, (unknown), (unknown), Justin Guinney, Kyle A. Beauchamp, Timothy Taxter	18
3	Assessing the utility of molecular diagnostic classification for cancers of unknown primary 2023 ·Cancer Medicine ·(unknown), Gerard C. Blobe, Nicholas C. DeVito, Brent A. Hanks, Michael R. Harrison, Christopher Hoimes, Jingquan Jia, Michael A. Morse, (unknown), (unknown), Hillary Mulder, Adam J. Hockenberry, (unknown), Martin C. Stumpe, Jackson Michuda, Kyle A. Beauchamp, Eric Perakslis, Timothy Taxter, Daniel J. George	2
4	Clinical validity of expanded carrier screening: Evaluating the gene‐disease relationship in more than 200 conditions 2020 ·Human Mutation ·(unknown), Linyan Meng, Dale Muzzey, Katherine Johansen Taber, Kyle A. Beauchamp, (unknown), (unknown), Rebecca Mar‐Heyming, Bethany A. Buckley, (unknown)	7
5	Sequencing as a first-line methodology for cystic fibrosis carrier screening 2019 ·Genetics in Medicine ·Kyle A. Beauchamp, Katherine Johansen Taber, Peter Grauman, Lindsay Spurka, (unknown), (unknown), Judith D. Goldberg, Dale Muzzey	26
6	Clinical impact and cost-effectiveness of a 176-condition expanded carrier screen 2019 ·Genetics in Medicine ·Kyle A. Beauchamp, Katherine Johansen Taber, Dale Muzzey	56
7	Validation of an Expanded Carrier Screen that Optimizes Sensitivity via Full-Exon Sequencing and Panel-wide Copy Number Variant Identification 2018 ·Clinical Chemistry ·Gregory J. Hogan, Valentina Vysotskaia, Kyle A. Beauchamp, Stefanie Seisenberger, Peter Grauman, (unknown), Sun Hae Hong, (unknown), Shera Kash, H. Henry Lai, (unknown), (unknown), Clement Chu, Kevin Iori, Jared Maguire, Eric A. Evans, Imran S. Haque, Rebecca Mar‐Heyming, Hyunseok P. Kang, Dale Muzzey	46
8	Quantifying Configuration-Sampling Error in Langevin Simulations of Complex Molecular Systems 2018 ·Entropy ·Josh Fass, David A. Sivak, Gavin E. Crooks, Kyle A. Beauchamp, Benedict Leimkuhler, John D. Chodera	26
9	Escaping Atom Types in Force Fields Using Direct Chemical Perception 2018 ·Journal of Chemical Theory and Computation ·David L. Mobley, Caitlin C. Bannan, Andrea Rizzi, Christopher I. Bayly, John D. Chodera, Victoria T. Lim, Nathan M. Lim, Kyle A. Beauchamp, David R. Slochower, Michael R. Shirts, Michael K. Gilson, Peter Eastman	121
10	Clinical utility of expanded carrier screening: results-guided actionability and outcomes 2018 ·Genetics in Medicine ·Katherine Johansen Taber, Kyle A. Beauchamp, Gabriel A. Lazarin, Dale Muzzey, (unknown), Judith D. Goldberg	79
11	OpenMM 7: Rapid development of high performance algorithms for molecular dynamics breakdown → 2017 ·PLoS Computational Biology ·Peter Eastman, Jason Swails, John D. Chodera, Robert T. McGibbon, Yutong Zhao, Kyle A. Beauchamp, Lee‐Ping Wang, Andrew C. Simmonett, Matthew P. Harrigan, Chaya Stern, Rafal Wiewiora, Bernard R. Brooks, Vijay S. Pande	1736
12	Systematic design and comparison of expanded carrier screening panels 2017 ·Genetics in Medicine ·Kyle A. Beauchamp, Dale Muzzey, Kenny K. Wong, Gregory J. Hogan, (unknown), Sophie I. Candille, Nikita Mehta, Rebecca Mar‐Heyming, Kristjan Eerik Kaseniit, Hyunseok P. Kang, Eric A. Evans, Judith D. Goldberg, Gabriel A. Lazarin, Imran S. Haque	45
13	MSMBuilder: Statistical Models for Biomolecular Dynamics 2017 ·Biophysical Journal ·Matthew P. Harrigan, Mohammad M. Sultan, Carlos X. Hernández, Brooke E. Husic, Peter Eastman, Christian R. Schwantes, Kyle A. Beauchamp, Robert T. McGibbon, Vijay S. Pande	193
14	MDTraj: A Modern Open Library for the Analysis of Molecular Dynamics Trajectories breakdown → 2015 ·Biophysical Journal ·Robert T. McGibbon, Kyle A. Beauchamp, Matthew P. Harrigan, Christoph Klein, Jason Swails, Carlos X. Hernández, Christian R. Schwantes, Lee‐Ping Wang, Thomas J. Lane, Vijay S. Pande	1537
15	A Molecular Interpretation of 2D IR Protein Folding Experiments with Markov State Models 2014 ·Biophysical Journal ·Carlos R. Baiz, Yu‐Shan Lin, Chunte Sam Peng, Kyle A. Beauchamp, Vincent A. Voelz, Vijay S. Pande, Andrei Tokmakoff	48
16	Bayesian Energy Landscape Tilting: Towards Concordant Models of Molecular Ensembles 2014 ·Biophysical Journal ·Kyle A. Beauchamp, Vijay S. Pande, Rhiju Das	45
17	Are Protein Force Fields Getting Better? A Systematic Benchmark on 524 Diverse NMR Measurements 2012 ·Journal of Chemical Theory and Computation ·Kyle A. Beauchamp, Yu‐Shan Lin, Rhiju Das, Vijay S. Pande	308
18	Investigating How Peptide Length and a Pathogenic Mutation Modify the Structural Ensemble of Amyloid Beta Monomer 2012 ·Biophysical Journal ·Yu‐Shan Lin, Gregory R. Bowman, Kyle A. Beauchamp, Vijay S. Pande	100
19	To milliseconds and beyond: challenges in the simulation of protein folding 2012 ·Current Opinion in Structural Biology ·Thomas J. Lane, Diwakar Shukla, Kyle A. Beauchamp, Vijay S. Pande	283
20	Everything you wanted to know about Markov State Models but were afraid to ask breakdown → 2010 ·Methods ·Vijay S. Pande, Kyle A. Beauchamp, Gregory R. Bowman	522

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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