David S. Cerutti

7.1k total citations · 2 hit papers
28 papers, 3.7k citations indexed

About

David S. Cerutti is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, David S. Cerutti has authored 28 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 12 papers in Materials Chemistry and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in David S. Cerutti's work include Protein Structure and Dynamics (18 papers), Enzyme Structure and Function (11 papers) and DNA and Nucleic Acid Chemistry (6 papers). David S. Cerutti is often cited by papers focused on Protein Structure and Dynamics (18 papers), Enzyme Structure and Function (11 papers) and DNA and Nucleic Acid Chemistry (6 papers). David S. Cerutti collaborates with scholars based in United States, Netherlands and Germany. David S. Cerutti's co-authors include David A. Case, Wolfgang Damm, Markus K. Dahlgren, Richard A. Friesner, Joseph W. Kaus, Jon R. Maple, Chuanjie Wu, William L. Jorgensen, Edward Harder and Lingle Wang and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and The Journal of Physical Chemistry B.

In The Last Decade

David S. Cerutti

27 papers receiving 3.7k citations

Hit Papers

OPLS3: A Force Field Providing Broad Coverage of Drug-lik... 2015 2026 2018 2022 2015 2018 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David S. Cerutti United States 16 2.3k 820 681 656 393 28 3.7k
Jennifer L. Knight United States 16 2.2k 1.0× 878 1.1× 501 0.7× 682 1.0× 328 0.8× 23 3.5k
Goran Krilov United States 19 2.1k 0.9× 948 1.2× 489 0.7× 771 1.2× 544 1.4× 38 3.9k
Michel A. Cuendet Switzerland 22 2.1k 0.9× 639 0.8× 490 0.7× 577 0.9× 383 1.0× 54 4.0k
Yixiang Cao United States 14 1.5k 0.7× 597 0.7× 453 0.7× 687 1.0× 453 1.2× 23 3.1k
Thomas E. Exner Germany 29 1.8k 0.8× 930 1.1× 526 0.8× 609 0.9× 348 0.9× 93 3.3k
Sérgio F. Sousa Portugal 33 2.4k 1.0× 956 1.2× 902 1.3× 988 1.5× 386 1.0× 158 4.9k
Duncan Poole United States 4 3.0k 1.3× 534 0.7× 659 1.0× 431 0.7× 307 0.8× 5 4.3k
Marco De Vivo Italy 35 2.7k 1.2× 672 0.8× 710 1.0× 634 1.0× 287 0.7× 116 4.2k
Glen E. Kellogg United States 42 2.9k 1.3× 1.2k 1.5× 718 1.1× 918 1.4× 213 0.5× 143 4.9k
J. Shim South Korea 3 3.2k 1.4× 790 1.0× 909 1.3× 765 1.2× 723 1.8× 3 5.6k

Countries citing papers authored by David S. Cerutti

Since Specialization
Citations

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

Fields of papers citing papers by David S. Cerutti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Cerutti. 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 David S. Cerutti. The network helps show where David S. Cerutti may publish in the future.

Co-authorship network of co-authors of David S. Cerutti

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Cerutti. A scholar is included among the top collaborators of David S. Cerutti 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 David S. Cerutti. David S. Cerutti 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.
Wiebeler, Christian, et al.. (2021). Correction: Histidine protonation controls structural heterogeneity in the cyanobacteriochrome AnPixJg2. Physical Chemistry Chemical Physics. 23(21). 12494–12494.
2.
Wiebeler, Christian, et al.. (2021). Histidine protonation controls structural heterogeneity in the cyanobacteriochrome AnPixJg2. Physical Chemistry Chemical Physics. 23(12). 7359–7367. 15 indexed citations
3.
Bogetti, Anthony T., Alex J. DeGrave, Karl T. Debiec, et al.. (2020). A twist in the road less traveled: The AMBER ff15ipq-m force field for protein mimetics. The Journal of Chemical Physics. 153(6). 15 indexed citations
4.
Ghoreishi, Delaram, et al.. (2019). Fast Implementation of the Nudged Elastic Band Method in AMBER. Journal of Chemical Theory and Computation. 15(8). 4699–4707. 15 indexed citations
5.
Cerutti, David S. & David A. Case. (2018). Molecular dynamics simulations of macromolecular crystals. Wiley Interdisciplinary Reviews Computational Molecular Science. 9(4). 28 indexed citations
6.
Jin, Chi, David S. Cerutti, & Robert I. Cukier. (2017). Molecular Dynamics of Oxazole Yellow Dye in its Ground and First Excited Electronic States in Solution and when Intercalated in dsDNA. The Journal of Physical Chemistry B. 121(44). 10242–10248. 2 indexed citations
7.
Zheng, Zheng, et al.. (2016). On the fly estimation of host–guest binding free energies using the movable type method: participation in the SAMPL5 blind challenge. Journal of Computer-Aided Molecular Design. 31(1). 47–60. 13 indexed citations
8.
Debiec, Karl T., et al.. (2016). Further along the Road Less Traveled: AMBER ff15ipq, an Original Protein Force Field Built on a Self-Consistent Physical Model. Journal of Chemical Theory and Computation. 12(8). 3926–3947. 150 indexed citations
9.
Cerutti, David S., William C. Swope, Julia E. Rice, & David A. Case. (2014). ff14ipq: A Self-Consistent Force Field for Condensed-Phase Simulations of Proteins. Journal of Chemical Theory and Computation. 10(10). 4515–4534. 86 indexed citations
10.
Mobley, David L., et al.. (2011). Alchemical prediction of hydration free energies for SAMPL. Journal of Computer-Aided Molecular Design. 26(5). 551–562. 61 indexed citations
11.
Baugh, Loren, Isolde Le Trong, David S. Cerutti, et al.. (2011). Second-Contact Shell Mutation Diminishes Streptavidin–Biotin Binding Affinity through Transmitted Effects on Equilibrium Dynamics. Biochemistry. 51(2). 597–607. 7 indexed citations
12.
Cerutti, David S., Peter L. Freddolino, Robert E. Duke, & David A. Case. (2010). Simulations of a Protein Crystal with a High Resolution X-ray Structure: Evaluation of Force Fields and Water Models. The Journal of Physical Chemistry B. 114(40). 12811–12824. 72 indexed citations
13.
Cerutti, David S., Robert E. Duke, Thomas A. Darden, & Terry P. Lybrand. (2009). Staggered Mesh Ewald: An Extension of the Smooth Particle-Mesh Ewald Method Adding Great Versatility. Journal of Chemical Theory and Computation. 5(9). 2322–2338. 132 indexed citations
14.
Cerutti, David S., Isolde Le Trong, Ronald E. Stenkamp, & Terry P. Lybrand. (2009). Dynamics of the Streptavidin−Biotin Complex in Solution and in Its Crystal Lattice: Distinct Behavior Revealed by Molecular Simulations. The Journal of Physical Chemistry B. 113(19). 6971–6985. 34 indexed citations
15.
Cerutti, David S., Robert E. Duke, Peter L. Freddolino, Hao Fan, & Terry P. Lybrand. (2008). A Vulnerability in Popular Molecular Dynamics Packages Concerning Langevin and Andersen Dynamics. Journal of Chemical Theory and Computation. 4(10). 1669–1680. 71 indexed citations
16.
Cerutti, David S., Nathan Baker, & J. Andrew McCammon. (2007). Solvent reaction field potential inside an uncharged globular protein: A bridge between implicit and explicit solvent models?. The Journal of Chemical Physics. 127(15). 155101–155101. 33 indexed citations
17.
Cerutti, David S., Tushar Jain, & J. Andrew McCammon. (2006). CIRSE: A solvation energy estimator compatible with flexible protein docking and design applications. Protein Science. 15(7). 1579–1596. 11 indexed citations
18.
Jain, Tushar, David S. Cerutti, & J. Andrew McCammon. (2006). Configurational‐bias sampling technique for predicting side‐chain conformations in proteins. Protein Science. 15(9). 2029–2039. 25 indexed citations
19.
Cerutti, David S., Lynn F. Ten Eyck, & J. Andrew McCammon. (2004). Rapid Estimation of Solvation Energy for Simulations of Protein−Protein Association. Journal of Chemical Theory and Computation. 1(1). 143–152. 14 indexed citations
20.
Cerutti, David S., Chung F. Wong, & J. Andrew McCammon. (2003). Brownian dynamics simulations of ion atmospheres around polyalanine and B‐DNA: Effects of biomolecular dielectric. Biopolymers. 70(3). 391–402. 9 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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