Michael Feig

37.9k total citations · 6 hit papers
176 papers, 21.3k citations indexed

About

Michael Feig is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Michael Feig has authored 176 papers receiving a total of 21.3k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Molecular Biology, 55 papers in Materials Chemistry and 21 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Michael Feig's work include Protein Structure and Dynamics (106 papers), Enzyme Structure and Function (50 papers) and RNA and protein synthesis mechanisms (43 papers). Michael Feig is often cited by papers focused on Protein Structure and Dynamics (106 papers), Enzyme Structure and Function (50 papers) and RNA and protein synthesis mechanisms (43 papers). Michael Feig collaborates with scholars based in United States, Japan and Poland. Michael Feig's co-authors include Charles L. Brooks, Alexander D. MacKerell, Grzegorz Nawrocki, Ting Ran, Sarah Rauscher, Bert L. de Groot, Jing Huang, Helmut Grubmüller, Robert B. Best and Jeetain Mittal and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Michael Feig

171 papers receiving 21.2k citations

Hit Papers

CHARMM36m: an improved force field fo... 2003 2026 2010 2018 2016 2012 2004 2003 2004 1000 2.0k 3.0k 4.0k
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.

  1. CHARMM36m: an improved force field for folded and intrinsically disordered proteins
    2016 4.5k citations Jing Huang, Sarah Rauscher et al. Nature Methods profile →
  2. Optimization of the Additive CHARMM All-Atom Protein Force Field Targeting Improved Sampling of the Backbone ϕ, ψ and Side-Chain χ1 and χ2 Dihedral Angles
    2012 3.6k citations Robert B. Best, Xiao Zhu et al. Journal of Chemical Theory and Computation profile →
  3. Extending the treatment of backbone energetics in protein force fields: Limitations of gas‐phase quantum mechanics in reproducing protein conformational distributions in molecular dynamics simulations
    2004 2.9k citations Alexander D. MacKerell, Michael Feig et al. profile →
  4. Improved Treatment of the Protein Backbone in Empirical Force Fields
    2003 828 citations Alexander D. MacKerell, Michael Feig et al. profile →
  5. MMTSB Tool Set: enhanced sampling and multiscale modeling methods for applications in structural biology
    2004 761 citations Michael Feig et al. profile →
  6. Multi‐state modeling of G‐protein coupled receptors at experimental accuracy
    2022 124 citations Lim Heo, Michael Feig profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Feig United States 54 16.6k 4.4k 2.9k 2.0k 1.6k 176 21.3k
Huan‐Xiang Zhou United States 69 14.3k 0.9× 4.6k 1.1× 2.2k 0.7× 1.8k 0.9× 1.5k 0.9× 407 18.9k
Bert L. de Groot Germany 66 15.7k 0.9× 3.4k 0.8× 2.0k 0.7× 2.1k 1.0× 1.9k 1.2× 229 21.3k
Christophe Chipot France 54 16.0k 1.0× 4.4k 1.0× 4.5k 1.5× 2.2k 1.1× 1.8k 1.1× 241 24.5k
James C. Gumbart United States 41 14.0k 0.8× 3.2k 0.7× 2.4k 0.8× 1.4k 0.7× 1.3k 0.8× 154 20.5k
Kim A. Sharp United States 65 15.7k 0.9× 4.3k 1.0× 3.8k 1.3× 2.0k 1.0× 1.6k 1.0× 150 22.7k
Elizabeth Villa United States 39 14.0k 0.8× 3.1k 0.7× 2.2k 0.7× 1.2k 0.6× 969 0.6× 83 20.5k
Helmut Grubmüller Germany 73 16.2k 1.0× 3.5k 0.8× 4.4k 1.5× 2.1k 1.0× 1.1k 0.7× 259 22.9k
Alexey V. Onufriev United States 37 13.7k 0.8× 3.4k 0.8× 2.4k 0.8× 1.5k 0.7× 2.5k 1.5× 100 19.0k
İvet Bahar United States 74 17.1k 1.0× 6.0k 1.4× 1.9k 0.7× 1.9k 1.0× 2.4k 1.5× 373 21.7k
Kresten Lindorff‐Larsen Denmark 53 15.3k 0.9× 5.5k 1.3× 1.9k 0.7× 2.6k 1.3× 1.4k 0.8× 227 19.0k

Countries citing papers authored by Michael Feig

Since Specialization
Citations

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

Fields of papers citing papers by Michael Feig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Feig. 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 Michael Feig. The network helps show where Michael Feig may publish in the future.

Co-authorship network of co-authors of Michael Feig

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

All Works

20 of 20 papers shown
1.
Zuo, Xiaobing, Alexander Jussupow, Nina Ponomarenko, et al.. (2025). Structure Characterization of Bacterial Microcompartment Shells via X-ray Scattering and Coordinate Modeling: Evidence for Adventitious Capture of Cytoplasmic Proteins. ACS Applied Bio Materials. 8(3). 2090–2103. 1 indexed citations
2.
Janson, Giacomo, Alexander Jussupow, & Michael Feig. (2025). Deep generative modeling of temperature-dependent structural ensembles of proteins. Communications Chemistry. 8(1). 354–354.
3.
Wang, Yali, et al.. (2025). Controlled Enzyme Cargo Loading in Engineered Bacterial Microcompartment Shells. Biochemistry. 64(6). 1285–1292. 2 indexed citations
4.
Jussupow, Alexander, et al.. (2025). COCOMO2: A Coarse-Grained Model for Interacting Folded and Disordered Proteins. Journal of Chemical Theory and Computation. 21(4). 2095–2107. 8 indexed citations
5.
Barnes, Christopher O., Simon C. Weiss, Chenxi Qiu, et al.. (2024). Structural basis of transcription: RNA polymerase II substrate binding and metal coordination using a free-electron laser. Proceedings of the National Academy of Sciences. 121(36). e2318527121–e2318527121. 7 indexed citations
6.
Walhout, Peter K., et al.. (2022). Molecular Dynamics Simulations of Rhodamine B Zwitterion Diffusion in Polyelectrolyte Solutions. The Journal of Physical Chemistry B. 126(48). 10256–10272. 12 indexed citations
7.
8.
Re, Suyong, Grzegorz Nawrocki, Hiraku Oshima, et al.. (2021). Reduced efficacy of a Src kinase inhibitor in crowded protein solution. Nature Communications. 12(1). 4099–4099. 26 indexed citations
9.
Heo, Lim & Michael Feig. (2018). Experimental accuracy in protein structure refinement via molecular dynamics simulations. Proceedings of the National Academy of Sciences. 115(52). 13276–13281. 60 indexed citations
10.
Feig, Michael, Grzegorz Nawrocki, Isseki Yu, Po-Hung Wang, & Yuji Sugita. (2018). Challenges and opportunities in connecting simulations with experiments via molecular dynamics of cellular environments. Journal of Physics Conference Series. 1036. 12010–12010. 22 indexed citations
11.
Woodard, Jaie, Kinshuk Raj Srivastava, Grzegorz Nawrocki, et al.. (2018). Intramolecular Diffusion in α-Synuclein: It Depends on How You Measure It. Biophysical Journal. 115(7). 1190–1199. 11 indexed citations
12.
Feig, Michael & Lim Heo. (2018). Protein Structure Refinement via Molecular Dynamics Simulations. Biophysical Journal. 114(3). 575a–575a. 3 indexed citations
13.
Yu, Isseki, Takaharu Mori, Tadashi Ando, et al.. (2016). Biomolecular interactions modulate macromolecular structure and dynamics in atomistic model of a bacterial cytoplasm. eLife. 5. 226 indexed citations
14.
Huang, Jing, Sarah Rauscher, Grzegorz Nawrocki, et al.. (2016). CHARMM36m: an improved force field for folded and intrinsically disordered proteins. Nature Methods. 14(1). 71–73. 4491 indexed citations breakdown →
15.
Lehti‐Shiu, Melissa D., Sahra Uygun, Gaurav D. Moghe, et al.. (2015). Molecular Evidence for Functional Divergence and Decay of a Transcription Factor Derived from Whole-Genome Duplication in Arabidopsis thaliana. PLANT PHYSIOLOGY. 168(4). 1717–1734. 28 indexed citations
16.
Best, Robert B., Xiao Zhu, Jihyun Shim, et al.. (2012). Optimization of the Additive CHARMM All-Atom Protein Force Field Targeting Improved Sampling of the Backbone ϕ, ψ and Side-Chain χ1 and χ2 Dihedral Angles. Journal of Chemical Theory and Computation. 8(9). 3257–3273. 3552 indexed citations breakdown →
17.
Yang, Weili, Mike Pollard, Yonghua Li‐Beisson, et al.. (2010). A distinct type of glycerol-3-phosphate acyltransferase with sn -2 preference and phosphatase activity producing 2-monoacylglycerol. Proceedings of the National Academy of Sciences. 107(26). 12040–12045. 158 indexed citations
18.
Panahi, Afra & Michael Feig. (2010). Conformational Sampling of Influenza Fusion Peptide in Membrane Bilayers as a Function of Termini and Protonation States. Biophysical Journal. 98(3). 671a–671a. 8 indexed citations
19.
Mukherjee, Shayantani & Michael Feig. (2009). Conformational Change in MSH2-MSH6 upon Binding DNA Coupled to ATPase Activity. Biophysical Journal. 96(11). L63–L65. 20 indexed citations
20.
Tanizaki, Seiichiro, et al.. (2007). Conformational Sampling of Peptides in Cellular Environments. Biophysical Journal. 94(3). 747–759. 54 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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