Ray Luo

23.6k total citations · 4 hit papers
180 papers, 17.5k citations indexed

About

Ray Luo is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ray Luo has authored 180 papers receiving a total of 17.5k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Molecular Biology, 39 papers in Materials Chemistry and 33 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ray Luo's work include Protein Structure and Dynamics (83 papers), Enzyme Structure and Function (31 papers) and DNA and Nucleic Acid Chemistry (29 papers). Ray Luo is often cited by papers focused on Protein Structure and Dynamics (83 papers), Enzyme Structure and Function (31 papers) and DNA and Nucleic Acid Chemistry (29 papers). Ray Luo collaborates with scholars based in United States, China and Pakistan. Ray Luo's co-authors include Carlos Simmerling, Kenneth M. Merz, Alexey V. Onufriev, Holger Gohlke, Thomas E. Cheatham, Bing Wang, Robert J. Woods, Tom Darden, David A. Case and Junmei Wang and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Ray Luo

171 papers receiving 17.3k citations

Hit Papers

The Amber biomolecular simulation programs 2003 2026 2010 2018 2005 2003 2018 2024 2.5k 5.0k 7.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ray Luo United States 43 12.6k 3.3k 2.3k 2.1k 1.6k 180 17.5k
Alexey V. Onufriev United States 37 13.7k 1.1× 3.4k 1.0× 2.5k 1.1× 2.4k 1.1× 1.5k 0.9× 100 19.0k
Yong Duan United States 41 10.5k 0.8× 3.1k 0.9× 1.8k 0.8× 1.8k 0.8× 1.5k 0.9× 197 14.8k
Teemu J. Murtola Finland 27 10.2k 0.8× 3.0k 0.9× 1.7k 0.7× 1.8k 0.8× 1.1k 0.7× 139 20.5k
M Abraham Australia 6 9.5k 0.8× 2.8k 0.8× 1.7k 0.8× 1.6k 0.8× 1.1k 0.7× 6 18.2k
Michael Feig United States 54 16.6k 1.3× 4.4k 1.3× 1.6k 0.7× 2.9k 1.4× 2.0k 1.3× 176 21.3k
Ross C. Walker United States 39 9.7k 0.8× 2.1k 0.6× 1.6k 0.7× 1.7k 0.8× 1.2k 0.8× 77 13.6k
James C. Gumbart United States 41 14.0k 1.1× 3.2k 1.0× 1.3k 0.6× 2.4k 1.2× 1.4k 0.9× 154 20.5k
Bert L. de Groot Germany 66 15.7k 1.2× 3.4k 1.0× 1.9k 0.8× 2.0k 1.0× 2.1k 1.3× 229 21.3k
Szilárd Páll Sweden 6 13.3k 1.1× 4.0k 1.2× 2.3k 1.0× 2.4k 1.2× 1.6k 1.0× 15 24.9k
Ulf Ryde Sweden 69 9.2k 0.7× 4.5k 1.4× 2.6k 1.1× 2.9k 1.4× 1.2k 0.8× 315 18.6k

Countries citing papers authored by Ray Luo

Since Specialization
Citations

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

Fields of papers citing papers by Ray Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ray Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Ray Luo. A scholar is included among the top collaborators of Ray Luo 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 Ray Luo. Ray Luo 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.
Duan, Yong, Junmei Wang, Piotr Cieplak, & Ray Luo. (2025). Refinement of Atomic Polarizabilities for a Polarizable Gaussian Multipole Force Field with Simultaneous Considerations of Both Molecular Polarizability Tensors and In-Solution Electrostatic Potentials. Journal of Chemical Information and Modeling. 65(3). 1428–1440. 3 indexed citations
2.
Gao, Yaohui, Jian‐Ming Lv, Zhiqin Cao, et al.. (2025). Engineered Fusion Enzyme‐Mediated Non‐Consecutive Cyclization‐Glycosylation Enables Heterologous Synthesis of Antifungal Enfumafungin. Advanced Science. 12(44). e07531–e07531.
3.
Luo, Ray, et al.. (2025). A Stepwise decision tree model for differential diagnosis of Kimura’s disease in the head and neck. BMC Medical Imaging. 25(1). 90–90. 1 indexed citations
4.
Li, Gang, et al.. (2024). A framework for developing a machine learning-based finite element model for structural analysis. Computers & Structures. 307. 107617–107617. 3 indexed citations
5.
Yang, Tao, et al.. (2024). Study on seismic reliability and fragility of low-strength masonry structures reinforced by splint-wall. Journal of Building Engineering. 100. 111677–111677. 1 indexed citations
6.
Han, Han, Zhen Huang, Congsheng Xu, et al.. (2024). Functional annotation of the Hippo pathway somatic mutations in human cancers. Nature Communications. 15(1). 10106–10106. 4 indexed citations
7.
Cao, Zhiqin, Gao‐Qian Wang, Ray Luo, et al.. (2024). Biosynthesis of Enfumafungin-type Antibiotic Reveals an Unusual Enzymatic Fusion Pattern and Unprecedented C–C Bond Cleavage. Journal of the American Chemical Society. 146(18). 12723–12733. 14 indexed citations
8.
Rehman, Ashfaq Ur, Yasir Ali, S. O. Shaheen, et al.. (2024). Role of artificial intelligence in revolutionizing drug discovery. Fundamental Research. 5(3). 1273–1287. 49 indexed citations breakdown →
9.
Rehman, Ashfaq Ur, et al.. (2024). Targeting SHP2 Cryptic Allosteric Sites for Effective Cancer Therapy. International Journal of Molecular Sciences. 25(11). 6201–6201.
10.
Zhao, Shiji, Piotr Cieplak, Yong Duan, & Ray Luo. (2023). Transferability of the Electrostatic Parameters of the Polarizable Gaussian Multipole Model. Journal of Chemical Theory and Computation. 19(3). 924–941. 9 indexed citations
11.
Zhang, Weisi, et al.. (2023). Optimal production cooperation strategies for automakers considering different sales channels under dual credit policy. Computers & Industrial Engineering. 187. 109769–109769. 6 indexed citations
12.
Zhang, Weisi, et al.. (2023). Sustainable strategies for green supply chain within the platform economy consider subsidies and marketing efforts. PLoS ONE. 18(11). e0292349–e0292349. 5 indexed citations
13.
Wei, Haixin, et al.. (2022). Advancing MM/PBSA calculations with machine learning and cuda GPUs. Biophysical Journal. 121(3). 527a–528a. 1 indexed citations
14.
Liu, Hao, et al.. (2021). Recent Force Field Strategies for Intrinsically Disordered Proteins. Journal of Chemical Information and Modeling. 61(3). 1037–1047. 76 indexed citations
16.
Han, Han, Yuxuan Chen, Shiji Zhao, et al.. (2019). Elucidation of WW domain ligand binding specificities in the Hippo pathway reveals STXBP 4 as YAP inhibitor. The EMBO Journal. 39(1). e102406–e102406. 25 indexed citations
17.
Ward, Jas S., Mao Quan, Jin Zhang, et al.. (2019). A 2,3-dialkoxynaphthalene-based naphthocage. Chemical Communications. 56(6). 888–891. 12 indexed citations
18.
Jiang, Cheng, et al.. (2016). Allosteric pathways in tetrahydrofolate sensing riboswitch with dynamics correlation network. Molecular BioSystems. 13(1). 156–164. 8 indexed citations
19.
Botello‐Smith, Wesley M., Xingping Liu, Qin Cai, et al.. (2012). Numerical Poisson–Boltzmann model for continuum membrane systems. Chemical Physics Letters. 555. 274–281. 29 indexed citations
20.
Duan, Yong, Chun Wu, Shibasish Chowdhury, et al.. (2003). A point‐charge force field for molecular mechanics simulations of proteins based on condensed‐phase quantum mechanical calculations. Journal of Computational Chemistry. 24(16). 1999–2012. 3867 indexed citations breakdown →

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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