Michael Feig

37.9k citations
176 papers · 21.3k indexed · 6 hit papers · h-index 54

Michael Feig

171 papers receiving 21.2k citations

Hit Papers

Multi‐state m...124200320262010201810002.0k3.0k4.0k

Peers

Michael Feig
Comparison fields: 5 of 172
  • Molecular Biology 16.6k
  • Spectroscopy 2.0k
  • Computational Theory and Mathematics 1.6k
  • Structural Biology 138
  • Materials Chemistry 4.4k
Replace Wei Wang with:
Wei Wang China
Bert L. de Groot Germany
Christophe Chipot France
Wonpil Im United States
Huan‐Xiang Zhou United States
James C. Gumbart United States
Kresten Lindorff‐Larsen Denmark
Giovanni Bussi Italy
İvet Bahar United States
Robert D. Skeel United States
Michael Feig relative to Wei Wang China Wei Wang's profile →
Citations per field
00.5×1.5×
Wei Wang · 1×
Citations per year

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

The 25 scholars most cited alongside Michael Feig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Feig Line = papers co-authored together Michael Feig links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20258
4 20251
5 20250
6 20247
7 20227
8 202212
9 202126
10 20200
11 201860
12 201811
13 20183
14 201822
15
CHARMM36m: an improved force field for folded and intrinsically disordered proteinsbreakdown →
20164491
16 201528
17 2010158
18 20108
19 200920
20 200754

About Michael Feig

Michael Feig is a scholar working on Molecular Biology, Structural Biology and Spectroscopy, having authored 176 papers that have together received 21.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (106 papers), Enzyme Structure and Function (50 papers), RNA and protein synthesis mechanisms (43 papers), DNA and Nucleic Acid Chemistry (33 papers), Spectroscopy and Quantum Chemical Studies (18 papers), Lipid Membrane Structure and Behavior (18 papers), Bacterial Genetics and Biotechnology (18 papers) and Bacteriophages and microbial interactions (16 papers). The work is most often cited by research in Molecular Biology (16.6k citations), Spectroscopy (2.0k citations) and Computational Theory and Mathematics (1.6k citations). Michael Feig has collaborated with scholars based in United States, Japan and Poland. Frequent co-authors include Charles L. Brooks, Alexander D. MacKerell, Grzegorz Nawrocki, Helmut Grubmüller, Bert L. de Groot, Ting Ran, Jing Huang, Sarah Rauscher, Jeetain Mittal and Robert B. Best. Their work appears in journals such as Biophysical Journal, The Journal of Physical Chemistry B, Proteins Structure Function and Bioinformatics, Journal of Chemical Theory and Computation and Journal of Computational Chemistry.

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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