Lillian T. Chong

8.9k total citations · 2 hit papers
58 papers, 6.3k citations indexed

About

Lillian T. Chong is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Lillian T. Chong has authored 58 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 18 papers in Materials Chemistry and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Lillian T. Chong's work include Protein Structure and Dynamics (35 papers), Enzyme Structure and Function (16 papers) and Spectroscopy and Quantum Chemical Studies (8 papers). Lillian T. Chong is often cited by papers focused on Protein Structure and Dynamics (35 papers), Enzyme Structure and Function (16 papers) and Spectroscopy and Quantum Chemical Studies (8 papers). Lillian T. Chong collaborates with scholars based in United States, Italy and United Kingdom. Lillian T. Chong's co-authors include Peter A. Kollman, Irina Massova, Yong Duan, David A. Case, Tai‐Sung Lee, Oreola Donini, Piotr Cieplak, Thomas E. Cheatham, Shuanghong Huo and Matthew Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Lillian T. Chong

56 papers receiving 6.2k citations

Hit Papers

align trajectories sort by overperformance

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.

Calculating Structures and Free Energies of Complex Molecules: Combining Molecular Mechanics and Continuum Models

2000 4.0k citations Lillian T. Chong, David A. Case et al. profile →
A glycan gate controls opening of the SARS-CoV-2 spike protein

2021 251 citations Terra Sztain, Surl-Hee Ahn et al. Nature Chemistry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lillian T. Chong United States	24	4.6k	1.2k	880	616	615	58	6.3k
Daniel R. Roe United States	20	5.4k 1.2×	1.1k 0.9×	1.1k 1.2×	522 0.8×	766 1.2×	38	7.7k
Kevin Hauser United States	9	5.9k 1.3×	1.2k 1.1×	1.1k 1.3×	1.0k 1.6×	771 1.3×	13	8.6k
Shuanghong Huo United States	21	4.0k 0.9×	1.1k 1.0×	712 0.8×	429 0.7×	611 1.0×	42	5.5k
Lauren Wickstrom United States	17	6.3k 1.4×	1.3k 1.1×	1.3k 1.5×	630 1.0×	817 1.3×	23	8.8k
Yifei Qi United States	28	6.0k 1.3×	807 0.7×	680 0.8×	497 0.8×	652 1.1×	70	8.1k
Huafeng Xu United States	27	4.9k 1.1×	1.5k 1.3×	992 1.1×	383 0.6×	743 1.2×	63	7.5k
Oreola Donini United States	15	3.7k 0.8×	1.1k 0.9×	549 0.6×	503 0.8×	678 1.1×	33	5.5k
Koushik Kasavajhala United States	7	6.7k 1.5×	1.4k 1.2×	1.3k 1.5×	682 1.1×	900 1.5×	9	9.4k
Chaok Seok South Korea	38	4.4k 1.0×	863 0.7×	1.3k 1.5×	676 1.1×	584 0.9×	128	6.2k
Samuel Genheden Sweden	30	4.1k 0.9×	2.0k 1.7×	922 1.0×	499 0.8×	899 1.5×	70	6.2k

Countries citing papers authored by Lillian T. Chong

Since Specialization

Citations

This map shows the geographic impact of Lillian T. Chong'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 Lillian T. Chong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lillian T. Chong more than expected).

Fields of papers citing papers by Lillian T. Chong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lillian T. Chong. 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 Lillian T. Chong. The network helps show where Lillian T. Chong may publish in the future.

Co-authorship network of co-authors of Lillian T. Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Lillian T. Chong. A scholar is included among the top collaborators of Lillian T. Chong 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 Lillian T. Chong. Lillian T. Chong 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

Chong, Lillian T. & Daniel M. Zuckerman. (2025). Weighted Ensemble Simulation: Advances in Methods, Software, and Applications. Wiley Interdisciplinary Reviews Computational Molecular Science. 15(6).

Bogetti, Anthony T., et al.. (2025). Lessons Learned from a Ligand-Unbinding Stress Test for Weighted Ensemble Simulations. ACS Omega. 10(25). 27617–27624. 1 indexed citations

Case, David A., Julian C.‐H. Chen, Lillian T. Chong, et al.. (2025). Structure-Based Experimental Datasets for Benchmarking Protein Simulation Force Fields [Article v1.0]. PubMed. 6(1). 3871–3871. 1 indexed citations

Chong, Lillian T., et al.. (2025). Illuminating an invisible state of the HIV-1 capsid protein CTD dimer using ¹⁹ F NMR and weighted ensemble simulations. Proceedings of the National Academy of Sciences. 122(8). 2 indexed citations

Chong, Lillian T., et al.. (2024). Identification of small-molecule ligand-binding sites on and in the ARNT PAS-B domain. Journal of Biological Chemistry. 300(9). 107606–107606. 2 indexed citations

Cocco, Melanie J., et al.. (2024). Gating residues govern ligand unbinding kinetics from the buried cavity in HIF‐2α PAS‐B. Protein Science. 33(11). e5198–e5198. 3 indexed citations

Chong, Lillian T., et al.. (2024). WEDAP: A Python Package for Streamlined Plotting of Molecular Simulation Data. Journal of Chemical Information and Modeling. 64(15). 5749–5755. 2 indexed citations

Bogetti, Anthony T., et al.. (2023). Direct observation of negative cooperativity in a detoxification enzyme at the atomic level by Electron Paramagnetic Resonance spectroscopy and simulation. Protein Science. 32(10). e4770–e4770. 10 indexed citations

Chong, Lillian T., et al.. (2023). Effects of altered backbone composition on the folding kinetics and mechanism of an ultrafast-folding protein. Chemical Science. 15(2). 675–682. 3 indexed citations

10.

Gronenborn, Angela M., et al.. (2022). Development and Validation of Fluorinated, Aromatic Amino Acid Parameters for Use with the AMBER ff15ipq Protein Force Field. The Journal of Physical Chemistry A. 126(14). 2286–2297. 11 indexed citations

11.

Zhang, She, Jeffrey P. Thompson, Junchao Xia, et al.. (2022). Mechanistic Insights into Passive Membrane Permeability of Drug-like Molecules from a Weighted Ensemble of Trajectories. Journal of Chemical Information and Modeling. 62(8). 1891–1904. 20 indexed citations

12.

Chong, Lillian T., et al.. (2022). Implications of the unfolded state in the folding energetics of heterogeneous-backbone protein mimetics. Chemical Science. 13(40). 11798–11806. 7 indexed citations

13.

Zhang, She, Anthony T. Bogetti, Jeffrey P. Thompson, et al.. (2022). WESTPA 2.0: High-Performance Upgrades for Weighted Ensemble Simulations and Analysis of Longer-Timescale Applications. Journal of Chemical Theory and Computation. 18(2). 638–649. 49 indexed citations

14.

DeGrave, Alex J., Anthony T. Bogetti, & Lillian T. Chong. (2021). The RED scheme: Rate-constant estimation from pre-steady state weighted ensemble simulations. The Journal of Chemical Physics. 154(11). 114111–114111. 13 indexed citations

15.

Sztain, Terra, Surl-Hee Ahn, Anthony T. Bogetti, et al.. (2021). A glycan gate controls opening of the SARS-CoV-2 spike protein. Nature Chemistry. 13(10). 963–968. 251 indexed citations breakdown →

16.

Bogetti, Anthony T., et al.. (2021). A Minimal, Adaptive Binning Scheme for Weighted Ensemble Simulations. The Journal of Physical Chemistry A. 125(7). 1642–1649. 26 indexed citations

17.

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

18.

Saglam, Ali Sinan & Lillian T. Chong. (2018). Protein–protein binding pathways and calculations of rate constants using fully-continuous, explicit-solvent simulations. Chemical Science. 10(8). 2360–2372. 59 indexed citations

19.

Saglam, Ali Sinan, Dawei Wang, Matthew C. Zwier, & Lillian T. Chong. (2017). Flexibility vs Preorganization: Direct Comparison of Binding Kinetics for a Disordered Peptide and Its Exact Preorganized Analogues. The Journal of Physical Chemistry B. 121(43). 10046–10054. 17 indexed citations

20.

Suárez, Ernesto, et al.. (2014). Simultaneous Computation of Dynamical and Equilibrium Information using a Weighted Ensemble of Trajectories. Biophysical Journal. 106(2). 406a–406a. 8 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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