World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
50
Citations
24385
World Ranking
14209
National Ranking
3668

Ray Luo publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Ray Luo sits on this spectrum.

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 135 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Ray Luo D-index placement in Chemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Chemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Ray Luo sits on this spectrum.

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 50 D-Index — 21st percentile

21% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

Overview

Ray Luo is affiliated with the University of California, Irvine in the United States. Their research primarily falls within the field of Biochemistry, Genetics and Molecular Biology, with a strong focus on Molecular Biology. Their work also extends into related subfields such as Atomic and Molecular Physics, and Optics, Materials Chemistry, Atmospheric Science, and Computational Theory and Mathematics.

The scientist's research interests are reflected in their main topics of work, which include:

  • Protein Structure and Dynamics
  • Spectroscopy and Quantum Chemical Studies
  • Enzyme Structure and Function
  • Computational Drug Discovery Methods
  • DNA and Nucleic Acid Chemistry
  • Machine Learning in Materials Science
  • Microbial Metabolic Engineering and Bioproduction

Ray Luo's publication record shows recurring contributions to several reputable scientific journals. Their frequent publication venues include:

  • Journal of Chemical Theory and Computation
  • Biophysical Journal
  • Journal of Chemical Information and Modeling
  • SSRN Electronic Journal
  • Nature Communications

Their scientific output includes multiple research papers, some of the notable recent works being:

  • AmberTools, 2023, Journal of Chemical Information and Modeling
  • Recent Force Field Strategies for Intrinsically Disordered Proteins, 2021, Journal of Chemical Information and Modeling
  • Recent Developments in Free Energy Calculations for Drug Discovery, 2021, Frontiers in Molecular Biosciences
  • Role of artificial intelligence in revolutionizing drug discovery, 2024, Fundamental Research
  • Environment-Specific Force Field for Intrinsically Disordered and Ordered Proteins, 2020, Journal of Chemical Information and Modeling

Collaboration has been a significant aspect of their career. Ray Luo frequently co-authors with several researchers, including:

  • Yong Duan
  • Piotr Cieplak
  • Yongxian Wu
  • Shiji Zhao
  • Haixin Wei

Best Publications

  • The Amber biomolecular simulation programs

    David A. Case;Thomas E. Cheatham;Tom Darden;Holger Gohlke

  • A point-charge force field for molecular mechanics simulations of proteins based on condensed-phase quantum mechanical calculations.

    Yong Duan;Chun Wu;Shibasish Chowdhury;Mathew C. Lee

  • Recent Developments and Applications of the MMPBSA Method.

    Changhao Wang;D'Artagnan Greene;Li Xiao;Ruxi Qi

  • Accelerated Poisson-Boltzmann calculations for static and dynamic systems.

    Ray Luo;Laurent David;Michael K. Gilson

  • Implicit Nonpolar Solvent Models

    Chunhu Tan;Yu-Hong Tan;Ray Luo

  • New-Generation Amber United-Atom Force Field

    Lijiang Yang;Chun Hu Tan;Meng Juei Hsieh;Junmei Wang

  • Calculating protein-ligand binding affinities with MMPBSA: Method and error analysis.

    Changhao Wang;Peter H. Nguyen;Kevin Pham;Danielle Huynh

  • Virtual screening using molecular simulations

    Tianyi Yang;Johnny C. Wu;Chunli Yan;Yuanfeng Wang

  • How well does Poisson-Boltzmann implicit solvent agree with explicit solvent? A quantitative analysis.

    Chunhu Tan;Lijiang Yang;Ray Luo

  • A Poisson–Boltzmann dynamics method with nonperiodic boundary condition

    Qiang Lu;Ray Luo

  • The IDP-Specific Force Field ff14IDPSFF Improves the Conformer Sampling of Intrinsically Disordered Proteins.

    Dong Song;Ray Luo;Hai-Feng Chen

  • Development of Polarizable Models for Molecular Mechanical Calculations I: Parameterization of Atomic Polarizability

    Junmei Wang;Piotr Cieplak;Jie Li;Tingjun Hou

  • New Force Field on Modeling Intrinsically Disordered Proteins

    Wei Wang;Wei Ye;Cheng Jiang;Ray Luo

  • An analysis of the interactions between the Sem-5 SH3 domain and its ligands using molecular dynamics, free energy calculations, and sequence analysis.

    Wei Wang;Wendell A. Lim;Araz Jakalian;Jian Wang

  • Development of polarizable models for molecular mechanical calculations II: induced dipole models significantly improve accuracy of intermolecular interaction energies.

    Junmei Wang;Piotr Cieplak;Jie Li;Jun Wang

  • Binding Induced Folding in p53-MDM2 Complex

    Hai-Feng Chen;Ray Luo

  • Comparison of generalized born and poisson models: Energetics and dynamics of HIV protease

    Laurent David;Ray Luo;Michael K. Gilson

  • The physical basis of nucleic acid base stacking in water.

    Ray Luo;Hillary S.R. Gilson;Michael J. Potter;Michael K. Gilson

  • Recent Developments in Free Energy Calculations for Drug Discovery.

    Edward King;Erick Aitchison;Han Li;Ray Luo

  • Recent Force Field Strategies for Intrinsically Disordered Proteins.

    Junxi Mu;Hao Liu;Jian Zhang;Ray Luo

  • Assessment of Linear Finite-Difference Poisson-Boltzmann Solvers

    J. U N Wang;R. A Y Luo

  • Performance of Nonlinear Finite-Difference Poisson−Boltzmann Solvers

    Qin Cai;Meng-Juei Hsieh;Jun Wang;Ray Luo

Frequent Co-Authors

Junmei Wang
Junmei Wang University of Pittsburgh
Piotr Cieplak
Piotr Cieplak Discovery Institute
Michael K. Gilson
Michael K. Gilson University of California, San Diego
Hongkai Zhao
Hongkai Zhao Duke University
Pengyu Ren
Pengyu Ren The University of Texas at Austin
Peter A. Kollman
Peter A. Kollman University of California, San Francisco
David A. Case
David A. Case Rutgers, The State University of New Jersey
Holger Gohlke
Holger Gohlke Heinrich Heine University Düsseldorf
Kenneth M. Merz
Kenneth M. Merz Michigan State University
Thomas E. Cheatham
Thomas E. Cheatham University of Utah

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