M. Scott Shell

7.4k total citations · 2 hit papers
138 papers, 5.2k citations indexed

About

M. Scott Shell is a scholar working on Materials Chemistry, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, M. Scott Shell has authored 138 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Materials Chemistry, 37 papers in Molecular Biology and 27 papers in Biomedical Engineering. Recurrent topics in M. Scott Shell's work include Protein Structure and Dynamics (31 papers), Material Dynamics and Properties (29 papers) and Spectroscopy and Quantum Chemical Studies (22 papers). M. Scott Shell is often cited by papers focused on Protein Structure and Dynamics (31 papers), Material Dynamics and Properties (29 papers) and Spectroscopy and Quantum Chemical Studies (22 papers). M. Scott Shell collaborates with scholars based in United States, Germany and Italy. M. Scott Shell's co-authors include Ken A. Dill, Pablo G. Debenedetti, Aviel Chaimovich, S. Banu Ozkan, Thomas R. Weikl, Athanassios Z. Panagiotopoulos, Tanmoy Sanyal, Jacob I. Monroe, L. Gary Leal and W. G. Noid and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

M. Scott Shell

123 papers receiving 5.0k citations

Hit Papers

The Protein Folding Problem 2008 2026 2014 2020 2008 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Scott Shell United States 36 2.5k 2.0k 1.1k 828 781 138 5.2k
Pieter Rein ten Wolde Netherlands 41 2.8k 1.1× 3.5k 1.8× 1.2k 1.1× 1.1k 1.3× 855 1.1× 109 7.7k
Christine Peter Germany 36 1.7k 0.7× 2.4k 1.2× 573 0.5× 781 0.9× 288 0.4× 121 4.4k
Tommaso Bellini Italy 44 1.8k 0.7× 1.5k 0.7× 1.1k 1.0× 1.0k 1.3× 581 0.7× 161 5.5k
Ard A. Louis United Kingdom 44 2.5k 1.0× 2.7k 1.3× 1.6k 1.5× 587 0.7× 673 0.9× 110 5.9k
Jonathan P. K. Doye United Kingdom 52 3.2k 1.3× 2.9k 1.5× 959 0.9× 2.3k 2.7× 860 1.1× 126 7.8k
Sung Chul Bae United States 28 3.0k 1.2× 1.1k 0.6× 1.2k 1.1× 781 0.9× 968 1.2× 72 5.4k
Roland Roth Germany 43 3.0k 1.2× 940 0.5× 2.3k 2.1× 1.1k 1.3× 700 0.9× 149 6.1k
Rosa Di Felice Italy 39 1.5k 0.6× 1.8k 0.9× 839 0.8× 1.2k 1.5× 413 0.5× 128 4.8k
Philip Ball United Kingdom 33 1.6k 0.6× 1.4k 0.7× 1.0k 0.9× 1.8k 2.2× 159 0.2× 474 6.8k
Dieter W. Heermann Germany 40 2.3k 0.9× 1.9k 0.9× 869 0.8× 1.4k 1.7× 2.5k 3.2× 163 7.2k

Countries citing papers authored by M. Scott Shell

Since Specialization
Citations

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

Fields of papers citing papers by M. Scott Shell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Scott Shell. 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 M. Scott Shell. The network helps show where M. Scott Shell may publish in the future.

Co-authorship network of co-authors of M. Scott Shell

This figure shows the co-authorship network connecting the top 25 collaborators of M. Scott Shell. A scholar is included among the top collaborators of M. Scott Shell 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 M. Scott Shell. M. Scott Shell 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.
Jiao, Sally & M. Scott Shell. (2024). Inverse design of pore wall chemistry and topology through active learning of surface group interactions. The Journal of Chemical Physics. 160(12). 4 indexed citations
2.
Mahanta, Debasish Das, et al.. (2024). Bridging the Gap in Cryopreservation Mechanism: Unraveling the Interplay between Structure, Dynamics, and Thermodynamics in Cryoprotectant Aqueous Solutions. The Journal of Physical Chemistry B. 128(15). 3720–3731. 10 indexed citations
3.
Moon, Joshua D., et al.. (2024). Nanoscale water–polymer interactions tune macroscopic diffusivity of water in aqueous poly(ethylene oxide) solutions. Chemical Science. 15(7). 2495–2508. 8 indexed citations
4.
Murphy, Elizabeth, et al.. (2024). Accelerated Prediction of Phase Behavior for Block Copolymer Libraries Using a Molecularly Informed Field Theory. Journal of the American Chemical Society. 146(43). 29751–29758. 6 indexed citations
5.
Franck, John M., et al.. (2024). Computation of Overhauser dynamic nuclear polarization processes reveals fundamental correlation between water dynamics, structure, and solvent restructuring entropy. Physical Chemistry Chemical Physics. 26(20). 14637–14650. 2 indexed citations
6.
Yang, Kai-Chieh, Matthew Mecklenburg, José A. Rodríguez, et al.. (2024). Crystallization-Induced Flower-like Superstructures via Peptoid Helix Assembly. ACS Macro Letters. 13(4). 423–428. 1 indexed citations
7.
Bates, Morgan W., et al.. (2024). Control over Conformational Landscapes of Polypeptoids by Monomer Sequence Patterning. Macromolecules. 57(4). 1469–1477. 7 indexed citations
8.
Delaney, Kris T., Kevin Shen, Rohini Gupta, et al.. (2023). Molecularly informed field theory for estimating critical micelle concentrations of intrinsically disordered protein surfactants. The Journal of Chemical Physics. 159(24). 9 indexed citations
9.
Mahanta, Debasish Das, et al.. (2023). Local solvation structures govern the mixing thermodynamics of glycerol–water solutions. Chemical Science. 14(26). 7381–7392. 29 indexed citations
10.
Shell, M. Scott. (2023). Money, Language, and Thought.
11.
Leal, L. Gary, et al.. (2020). Universal Gas Adsorption Mechanism for Flat Nanobubble Morphologies. Physical Review Letters. 125(14). 28 indexed citations
12.
Monroe, Jacob I., et al.. (2020). Affinity of small-molecule solutes to hydrophobic, hydrophilic, and chemically patterned interfaces in aqueous solution. Proceedings of the National Academy of Sciences. 118(1). 25 indexed citations
13.
Howard, Michael P., Wesley F. Reinhart, Tanmoy Sanyal, et al.. (2018). Evaporation-induced assembly of colloidal crystals. The Journal of Chemical Physics. 149(9). 94901–94901. 28 indexed citations
14.
Shell, M. Scott, et al.. (2011). Smoothing Protein Energy Landscapes by Integrating Folding Models with Structure Prediction. Biophysical Journal. 101(9). 2251–2259. 4 indexed citations
15.
Voelz, Vincent A., M. Scott Shell, & Ken A. Dill. (2009). Predicting Peptide Structures in Native Proteins from Physical Simulations of Fragments. PLoS Computational Biology. 5(2). e1000281–e1000281. 29 indexed citations
16.
Shell, M. Scott, S. Banu Ozkan, Vincent A. Voelz, Guohong Wu, & Ken A. Dill. (2009). Blind Test of Physics-Based Prediction of Protein Structures. Biophysical Journal. 96(3). 917–924. 36 indexed citations
17.
Shell, M. Scott. (2005). Stutter. Harvard University Press eBooks. 4 indexed citations
18.
Shell, M. Scott & Pablo G. Debenedetti. (2004). Thermodynamics and the glass transition in model energy landscapes. Physical Review E. 69(5). 51102–51102. 12 indexed citations
19.
Shell, M. Scott. (2002). American Babel : literatures of the United States from Abnaki to Zuni. Harvard University Press eBooks. 18 indexed citations
20.
Shell, M. Scott, et al.. (1993). Elizabeth's glass : with "The glass of the Sinful Soul" (1544) by Elizabeth I, and "Epistle dedicatory" & "Conclusion" (1548) by John Bale. University of Nebraska Press eBooks. 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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