Lauren Wickstrom

11.9k total citations · 1 hit paper
23 papers, 8.8k citations indexed

About

Lauren Wickstrom is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Lauren Wickstrom has authored 23 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Atomic and Molecular Physics, and Optics and 5 papers in Materials Chemistry. Recurrent topics in Lauren Wickstrom's work include Protein Structure and Dynamics (17 papers), DNA and Nucleic Acid Chemistry (7 papers) and Spectroscopy and Quantum Chemical Studies (6 papers). Lauren Wickstrom is often cited by papers focused on Protein Structure and Dynamics (17 papers), DNA and Nucleic Acid Chemistry (7 papers) and Spectroscopy and Quantum Chemical Studies (6 papers). Lauren Wickstrom collaborates with scholars based in United States. Lauren Wickstrom's co-authors include Carlos Simmerling, Koushik Kasavajhala, Kevin Hauser, Asim Okur, Emilio Gallicchio, Viktor Horn̆ák, Ronald M. Levy, Nanjie Deng, Peng He and Daniel R. Roe and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and The Journal of Physical Chemistry B.

In The Last Decade

Lauren Wickstrom

23 papers receiving 8.8k 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.

ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99SB

2015 7.9k citations Koushik Kasavajhala, Lauren Wickstrom et al. Journal of Chemical Theory and Computation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lauren Wickstrom United States	17	6.3k	1.3k	1.3k	817	648	23	8.8k
Koushik Kasavajhala United States	7	6.7k 1.1×	1.3k 1.0×	1.4k 1.1×	900 1.1×	725 1.1×	9	9.4k
Jason Swails United States	15	7.2k 1.1×	1.5k 1.1×	1.6k 1.2×	989 1.2×	600 0.9×	19	10.3k
Daniel R. Roe United States	20	5.4k 0.9×	1.1k 0.8×	1.1k 0.8×	766 0.9×	512 0.8×	38	7.7k
Kevin Hauser United States	9	5.9k 0.9×	1.1k 0.8×	1.2k 1.0×	771 0.9×	643 1.0×	13	8.6k
Jens Erik Nielsen Ireland	31	6.9k 1.1×	1.6k 1.2×	941 0.7×	713 0.9×	539 0.8×	62	9.6k
Lillian T. Chong United States	24	4.6k 0.7×	880 0.7×	1.2k 0.9×	615 0.8×	528 0.8×	58	6.3k
Viktor Horn̆ák United States	29	6.7k 1.1×	1.8k 1.3×	1.1k 0.8×	651 0.8×	510 0.8×	48	8.6k
Per Larsson Sweden	21	4.8k 0.8×	1.5k 1.1×	821 0.6×	973 1.2×	425 0.7×	42	8.6k
Jing Huang China	32	7.2k 1.1×	1.8k 1.3×	1.1k 0.8×	761 0.9×	525 0.8×	135	11.0k
Yifei Qi United States	28	6.0k 1.0×	680 0.5×	807 0.6×	652 0.8×	413 0.6×	70	8.1k

Countries citing papers authored by Lauren Wickstrom

Since Specialization

Citations

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

Fields of papers citing papers by Lauren Wickstrom

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lauren Wickstrom

This figure shows the co-authorship network connecting the top 25 collaborators of Lauren Wickstrom. A scholar is included among the top collaborators of Lauren Wickstrom 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 Lauren Wickstrom. Lauren Wickstrom 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

Wickstrom, Lauren, Emilio Gallicchio, Lieyang Chen, Tom Kurtzman, & Nanjie Deng. (2022). Developing end-point methods for absolute binding free energy calculation using the Boltzmann-quasiharmonic model. Physical Chemistry Chemical Physics. 24(10). 6037–6052. 5 indexed citations

Chen, Lieyang, Anthony Cruz, Daniel R. Roe, et al.. (2021). Thermodynamic Decomposition of Solvation Free Energies with Particle Mesh Ewald and Long-Range Lennard-Jones Interactions in Grid Inhomogeneous Solvation Theory. Journal of Chemical Theory and Computation. 17(5). 2714–2724. 25 indexed citations

Wickstrom, Lauren, et al.. (2020). Exploring the Free-Energy Landscape and Thermodynamics of Protein-Protein Association. Biophysical Journal. 119(6). 1226–1238. 19 indexed citations

Ramsey, Steven, et al.. (2019). Inclusion of enclosed hydration effects in the binding free energy estimation of dopamine D3 receptor complexes. PLoS ONE. 14(9). e0222902–e0222902. 6 indexed citations

He, Peng, Sheila Sarkar, Emilio Gallicchio, Tom Kurtzman, & Lauren Wickstrom. (2019). Role of Displacing Confined Solvent in the Conformational Equilibrium of β-Cyclodextrin. The Journal of Physical Chemistry B. 123(40). 8378–8386. 10 indexed citations

Deng, Nanjie, Junchao Xia, Lauren Wickstrom, et al.. (2019). Ligand Selectivity in the Recognition of Protoberberine Alkaloids by Hybrid-2 Human Telomeric G-Quadruplex: Binding Free Energy Calculation, Fluorescence Binding, and NMR Experiments. Molecules. 24(8). 1574–1574. 11 indexed citations

Gallicchio, Emilio, et al.. (2018). New Dopamine D3-Selective Receptor Ligands Containing a 6-Methoxy-1,2,3,4-tetrahydroisoquinolin-7-ol Motif. ACS Medicinal Chemistry Letters. 9(10). 990–995. 9 indexed citations

Deng, Nanjie, Lauren Wickstrom, Piotr Cieplak, Clement Lin, & Danzhou Yang. (2017). Resolving the Ligand-Binding Specificity in c-MYC G-Quadruplex DNA: Absolute Binding Free Energy Calculations and SPR Experiment. The Journal of Physical Chemistry B. 121(46). 10484–10497. 37 indexed citations

Kasavajhala, Koushik, et al.. (2015). ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99SB. Journal of Chemical Theory and Computation. 11(8). 3696–3713. 7892 indexed citations breakdown →

10.

Wickstrom, Lauren, Nanjie Deng, Peng He, et al.. (2015). Parameterization of an effective potential for protein–ligand binding from host–guest affinity data. Journal of Molecular Recognition. 29(1). 10–21. 25 indexed citations

11.

Gallicchio, Emilio, Nanjie Deng, Peng He, et al.. (2014). Virtual screening of integrase inhibitors by large scale binding free energy calculations: the SAMPL4 challenge. Journal of Computer-Aided Molecular Design. 28(4). 475–490. 48 indexed citations

12.

Deng, Nanjie, Stefano Forli, Peng He, et al.. (2014). Distinguishing Binders from False Positives by Free Energy Calculations: Fragment Screening Against the Flap Site of HIV Protease. The Journal of Physical Chemistry B. 119(3). 976–988. 55 indexed citations

13.

Wickstrom, Lauren, Peng He, Emilio Gallicchio, & Ronald M. Levy. (2013). Large Scale Affinity Calculations of Cyclodextrin Host–Guest Complexes: Understanding the Role of Reorganization in the Molecular Recognition Process. Journal of Chemical Theory and Computation. 9(7). 3136–3150. 72 indexed citations

14.

Wickstrom, Lauren, Emilio Gallicchio, & Ronald M. Levy. (2011). The linear interaction energy method for the prediction of protein stability changes upon mutation. Proteins Structure Function and Bioinformatics. 80(1). 111–125. 29 indexed citations

15.

Shang, Yi, Thi Hong Hai Nguyen, Lauren Wickstrom, Asim Okur, & Carlos Simmerling. (2010). Improving the description of salt bridge strength and geometry in a Generalized Born model. Journal of Molecular Graphics and Modelling. 29(5). 676–684. 15 indexed citations

16.

Wickstrom, Lauren, Asim Okur, & Carlos Simmerling. (2009). Evaluating the Performance of the ff99SB Force Field Based on NMR Scalar Coupling Data. Biophysical Journal. 97(3). 853–856. 193 indexed citations

17.

Okur, Asim, Lauren Wickstrom, & Carlos Simmerling. (2008). Evaluation of Salt Bridge Structure and Energetics in Peptides Using Explicit, Implicit, and Hybrid Solvation Models. Journal of Chemical Theory and Computation. 4(3). 488–498. 31 indexed citations

18.

Wickstrom, Lauren, et al.. (2007). Reconciling the Solution and X-ray Structures of the Villin Headpiece Helical Subdomain: Molecular Dynamics Simulations and Double Mutant Cycles Reveal a Stabilizing Cation−π Interaction. Biochemistry. 46(12). 3624–3634. 24 indexed citations

19.

Wickstrom, Lauren, Asim Okur, Kun Song, et al.. (2006). The Unfolded State of the Villin Headpiece Helical Subdomain: Computational Studies of the Role of Locally Stabilized Structure. Journal of Molecular Biology. 360(5). 1094–1107. 45 indexed citations

20.

Okur, Asim, Lauren Wickstrom, Raphaël Geney, et al.. (2006). Improved Efficiency of Replica Exchange Simulations through Use of a Hybrid Explicit/Implicit Solvation Model. Journal of Chemical Theory and Computation. 2(2). 420–433. 115 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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