Felice C. Lightstone

5.9k total citations · 1 hit paper
105 papers, 3.9k citations indexed

About

Felice C. Lightstone is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Felice C. Lightstone has authored 105 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 24 papers in Computational Theory and Mathematics and 19 papers in Materials Chemistry. Recurrent topics in Felice C. Lightstone's work include Protein Structure and Dynamics (35 papers), Computational Drug Discovery Methods (23 papers) and Lipid Membrane Structure and Behavior (12 papers). Felice C. Lightstone is often cited by papers focused on Protein Structure and Dynamics (35 papers), Computational Drug Discovery Methods (23 papers) and Lipid Membrane Structure and Behavior (12 papers). Felice C. Lightstone collaborates with scholars based in United States, Netherlands and Canada. Felice C. Lightstone's co-authors include Thomas C. Bruice, Sergio Wong, Timothy S. Carpenter, Xiaohua Zhang, Edmond Y. Lau, Helgi I. Ingólfsson, Eric Schwegler, Giulia Galli, Daniel Kirshner and Harsh Bhatia and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Felice C. Lightstone

101 papers receiving 3.9k 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.

Deep generative molecular design reshapes drug discovery

2022 145 citations Felice C. Lightstone et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Felice C. Lightstone United States	32	2.2k	733	661	500	463	105	3.9k
Michel A. Cuendet Switzerland	22	2.1k 1.0×	577 0.8×	639 1.0×	490 1.0×	383 0.8×	54	4.0k
Alpeshkumar K. Malde Australia	22	1.7k 0.8×	1.1k 1.5×	600 0.9×	572 1.1×	304 0.7×	65	3.8k
Goran Krilov United States	19	2.1k 1.0×	771 1.1×	948 1.4×	489 1.0×	544 1.2×	38	3.9k
Yujie Wu China	22	2.0k 0.9×	655 0.9×	788 1.2×	712 1.4×	1.0k 2.2×	46	4.2k
Vı́ctor Guallar Spain	42	3.5k 1.6×	674 0.9×	569 0.9×	917 1.8×	718 1.6×	192	6.4k
J. Shim South Korea	3	3.2k 1.5×	765 1.0×	790 1.2×	909 1.8×	723 1.6×	3	5.6k
Marco De Vivo Italy	35	2.7k 1.2×	634 0.9×	672 1.0×	710 1.4×	287 0.6×	116	4.2k
Pekka Mark Sweden	9	1.9k 0.9×	460 0.6×	545 0.8×	581 1.2×	473 1.0×	11	3.8k
David S. Cerutti United States	16	2.3k 1.1×	656 0.9×	820 1.2×	681 1.4×	393 0.8×	28	3.7k
Duncan Poole United States	4	3.0k 1.4×	431 0.6×	534 0.8×	659 1.3×	307 0.7×	5	4.3k

Countries citing papers authored by Felice C. Lightstone

Since Specialization

Citations

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

Fields of papers citing papers by Felice C. Lightstone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felice C. Lightstone. 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 Felice C. Lightstone. The network helps show where Felice C. Lightstone may publish in the future.

Co-authorship network of co-authors of Felice C. Lightstone

This figure shows the co-authorship network connecting the top 25 collaborators of Felice C. Lightstone. A scholar is included among the top collaborators of Felice C. Lightstone 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 Felice C. Lightstone. Felice C. Lightstone 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

Aydin, Fikret, Loïc Pottier, Tomas Oppelstrup, et al.. (2025). Enhanced Exploration of Protein Conformational Space through Integration of Ultra-Coarse-Grained Models to Multiscale Workflows. The Journal of Physical Chemistry B. 129(20). 4895–4903.

Song, Lin Frank, Jun Pei, Edmond Y. Lau, et al.. (2025). How KRAS Mutations Impair Intrinsic GTP Hydrolysis: Experimental and Computational Investigations. Journal of Chemical Information and Modeling. 65(23). 12822–12833.

Carpenter, Timothy S., Que N. Van, Constance Agamasu, et al.. (2024). Membrane lipids drive formation of KRAS4b-RAF1 RBDCRD nanoclusters on the membrane. Communications Biology. 7(1). 242–242. 7 indexed citations

Aydin, Fikret, Mark Heimann, Loïc Pottier, et al.. (2024). Generating Protein Structures for Pathway Discovery Using Deep Learning. Journal of Chemical Theory and Computation. 20(20). 8795–8806. 1 indexed citations

Sharma, Alok K., Jun Pei, Yue Yang, et al.. (2024). Revealing the mechanism of action of a first-in-class covalent inhibitor of KRASG12C (ON) and other functional properties of oncogenic KRAS by 31P NMR. Journal of Biological Chemistry. 300(2). 105650–105650. 11 indexed citations

Stroet, Martin, Bertrand Caron, Marc van Dijk, et al.. (2023). OFraMP: a fragment-based tool to facilitate the parametrization of large molecules. Journal of Computer-Aided Molecular Design. 37(8). 357–371. 11 indexed citations

Allen, Jonathan, Kevin McLoughlin, Da Shi, et al.. (2023). Evaluating point-prediction uncertainties in neural networks for protein-ligand binding prediction. SHILAP Revista de lepidopterología. 1(1). 100004–100004. 3 indexed citations

Stanton, Liam, Tomas Oppelstrup, Timothy S. Carpenter, et al.. (2023). Dynamic density functional theory of multicomponent cellular membranes. Physical Review Research. 5(1). 5 indexed citations

Bhatia, Harsh, Fikret Aydin, Timothy S. Carpenter, et al.. (2023). The confluence of machine learning and multiscale simulations. Current Opinion in Structural Biology. 80. 102569–102569. 16 indexed citations

10.

Kirshner, Daniel, Brian J. Bennion, Yue Yang, et al.. (2023). Clustering Protein Binding Pockets and Identifying Potential Drug Interactions: A Novel Ligand-Based Featurization Method. Journal of Chemical Information and Modeling. 63(21). 6655–6666. 3 indexed citations

11.

Bhatia, Harsh, Timothy S. Carpenter, Helgi I. Ingólfsson, et al.. (2021). Machine-learning-based dynamic-importance sampling for adaptive multiscale simulations. Nature Machine Intelligence. 3(5). 401–409. 24 indexed citations

12.

Goswami, Debanjan, De Chen, Yue Yang, et al.. (2020). Membrane interactions of the globular domain and the hypervariable region of KRAS4b define its unique diffusion behavior. eLife. 9. 21 indexed citations

13.

Zhang, Xiaohua, Tomas Oppelstrup, Sara Kokkila-Schumacher, et al.. (2020). ddcMD: A fully GPU-accelerated molecular dynamics program for the Martini force field. The Journal of Chemical Physics. 153(4). 45103–45103. 15 indexed citations

14.

Sun, Delin, et al.. (2019). Molecular Mechanism for Gramicidin Dimerization and Dissociation in Bilayers of Different Thickness. Biophysical Journal. 117(10). 1831–1844. 17 indexed citations

15.

Carpenter, Timothy S., César A. López, Chris Neale, et al.. (2018). Accurate Phase Separation of Complex Lipid Mixtures (DPPC/DOPC/CHOL) with a Refined Coarse Grained Martini Model. Biophysical Journal. 114(3). 102a–102a. 1 indexed citations

16.

Zhang, Xiaohua, Horacio Pérez‐Sánchez, & Felice C. Lightstone. (2017). A Comprehensive Docking and MM/GBSA Rescoring Study of Ligand Recognition upon Binding Antithrombin. Current Topics in Medicinal Chemistry. 17(14). 1631–1639. 136 indexed citations

17.

Yang, Yue, Sergio Wong, & Felice C. Lightstone. (2014). Understanding a Substrate’s Product Regioselectivity in a Family of Enzymes: A Case Study of Acetaminophen Binding in Cytochrome P450s. PLoS ONE. 9(2). e87058–e87058. 30 indexed citations

18.

Carpenter, Richard D., Arutselvan Natarajan, Edmond Y. Lau, et al.. (2010). Halogenated Benzimidazole Carboxamides Target Integrin α4β1 on T-Cell and B-Cell Lymphomas. Cancer Research. 70(13). 5448–5456. 16 indexed citations

19.

Xiao, Wenwu, Yan Wang, Edmond Y. Lau, et al.. (2010). The Use of One-Bead One-Compound Combinatorial Library Technology to Discover High-Affinity αvβ3 Integrin and Cancer Targeting Arginine-Glycine-Aspartic Acid Ligands with a Built-in Handle. Molecular Cancer Therapeutics. 9(10). 2714–2723. 63 indexed citations

20.

West, Jeremy M., Julie Perkins, Saphon Hok, et al.. (2006). Direct Antilymphoma Activity of Novel, First-Generation "Antibody Mimics" that Bind HLA-DR10-Positive Non-Hodgkin's Lymphoma Cells. Cancer Biotherapy and Radiopharmaceuticals. 21(6). 645–654. 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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