World's Best Scientists 2026 revealed!
Richard A. Friesner

Richard A. Friesner

D-Index & Metrics

Chemistry

D-Index
117
Citations
90276
World Ranking
548
National Ranking
232

Richard A. Friesner 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 Richard A. Friesner 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: 401 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Richard A. Friesner 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 Richard A. Friesner 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: 117 D-Index — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2016 - Member of the National Academy of Sciences
  • 2008 - Fellow of the American Academy of Arts and Sciences
  • 1984 - Fellow of Alfred P. Sloan Foundation

Overview

Richard A. Friesner is affiliated with Columbia University in the United States. Their research spans multiple scientific disciplines, primarily focusing on Biochemistry, Genetics and Molecular Biology, Physics and Astronomy, and Materials Science. Within these areas, Friesner has contributed extensively to subfields such as Molecular Biology, Atomic and Molecular Physics and Optics, Materials Chemistry, Spectroscopy, and Computational Theory and Mathematics.

The scientist's work emphasizes several key topics, including:

  • Advanced Chemical Physics Studies
  • Protein Structure and Dynamics
  • Machine Learning in Materials Science
  • Computational Drug Discovery Methods
  • SARS-CoV-2 and COVID-19 Research
  • Catalysis and Oxidation Reactions
  • Advanced NMR Techniques and Applications

Friesner has published consistently in several prominent venues, with the most frequent publication outlets being:

  • Journal of Chemical Theory and Computation
  • bioRxiv (Cold Spring Harbor Laboratory)
  • The Journal of Chemical Physics
  • arXiv (Cornell University)
  • Journal of Molecular Biology

Their recent papers include the following:

  • OPLS4: Improving Force Field Accuracy on Challenging Regimes of Chemical Space (2021), Journal of Chemical Theory and Computation
  • Cryo-EM Structures of SARS-CoV-2 Spike without and with ACE2 Reveal a pH-Dependent Switch to Mediate Endosomal Positioning of Receptor-Binding Domains (2020), Cell Host & Microbe
  • Reliable and Accurate Solution to the Induced Fit Docking Problem for Protein-Ligand Binding (2021), Journal of Chemical Theory and Computation
  • Enhancing Hit Discovery in Virtual Screening through Absolute Protein-Ligand Binding Free-Energy Calculations (2023), Journal of Chemical Information and Modeling
  • High-Dimensional Neural Network Potential for Liquid Electrolyte Simulations (2022), The Journal of Physical Chemistry B

Frequent co-authors collaborating with Friesner include:

  • David R. Reichman
  • John L. Weber
  • James Shee
  • Jared M. Sampson
  • Lingle Wang

Richard A. Friesner's contributions have been recognized with awards such as:

  • Member of the National Academy of Sciences (2016)
  • Fellow of the American Academy of Arts and Sciences (2008)
  • Fellow of Alfred P. Sloan Foundation (1984)

Best Publications

  • Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.

    Richard A Friesner;Jay L Banks;Robert B Murphy;Thomas A Halgren

  • Extra Precision Glide: Docking and Scoring Incorporating a Model of Hydrophobic Enclosure for Protein-Ligand Complexes

    Richard A. Friesner;Robert B. Murphy;Matthew P. Repasky;Leah L. Frye

  • Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening.

    Thomas A. Halgren;Robert B. Murphy;Richard A. Friesner;Hege S. Beard

  • Evaluation and Reparametrization of the OPLS-AA Force Field for Proteins via Comparison with Accurate Quantum Chemical Calculations on Peptides†

    George A. Kaminski and;Richard A. Friesner;Julian Tirado-Rives and;William L. Jorgensen

  • OPLS3: A Force Field Providing Broad Coverage of Drug-like Small Molecules and Proteins

    Edward Harder;Wolfgang Damm;Jon Maple;Chuanjie Wu

  • A hierarchical approach to all-atom protein loop prediction.

    Matthew P. Jacobson;David L. Pincus;Chaya S. Rapp;Tyler J.F. Day

  • Novel procedure for modeling ligand/receptor induced fit effects.

    Woody Sherman;Tyler Day;Matthew P Jacobson;Richard A Friesner

  • Jaguar: A high-performance quantum chemistry software program with strengths in life and materials sciences

    Art D. Bochevarov;Edward Harder;Thomas F. Hughes;Jeremy R. Greenwood

  • OPLS4: Improving Force Field Accuracy on Challenging Regimes of Chemical Space.

    Chao Lu;Chuanjie Wu;Delaram Ghoreishi;Wei Chen

  • Integrated Modeling Program, Applied Chemical Theory (IMPACT).

    Jay L. Banks;Hege S. Beard;Yixiang X. Cao;Art E. Cho

  • On the role of the crystal environment in determining protein side-chain conformations.

    Matthew P. Jacobson;Richard A. Friesner;Zhexin Xiang;Barry Honig

  • Accurate and Reliable Prediction of Relative Ligand Binding Potency in Prospective Drug Discovery by Way of a Modern Free-Energy Calculation Protocol and Force Field

    Lingle Wang;Yujie Wu;Yuqing Deng;Byungchan Kim

  • PHASE: a new engine for pharmacophore perception, 3D QSAR model development, and 3D database screening: 1. Methodology and preliminary results

    Steven L. Dixon;Alexander M. Smondyrev;Eric H. Knoll;Eric H. Knoll;Shashidhar N. Rao

  • A comparison of different propagation schemes for the time dependent Schro¨dinger equation

    C. Leforestier;R. H. Bisseling;C. Cerjan;M. D. Feit

  • Accurate First Principles Calculation of Molecular Charge Distributions and Solvation Energies from Ab Initio Quantum Mechanics and Continuum Dielectric Theory

    David J. Tannor;Bryan Marten;Robert Murphy;Richard A. Friesner

  • OPLS3e: Extending Force Field Coverage for Drug-Like Small Molecules.

    Katarina Roos;Chuanjie Wu;Wolfgang Damm;Mark Reboul

  • New Model for Calculation of Solvation Free Energies: Correction of Self-Consistent Reaction Field Continuum Dielectric Theory for Short-Range Hydrogen-Bonding Effects

    Bryan Marten;Kyungsun Kim;Christian Cortis,‖,⊥ and;Richard A. Friesner

  • The VSGB 2.0 model: A next generation energy model for high resolution protein structure modeling

    Jianing Li;Robert Abel;Kai Zhu;Yixiang Cao

  • Replica exchange with solute tempering: a method for sampling biological systems in explicit water.

    Pu Liu;Byungchan Kim;Richard A. Friesner;B. J. Berne

  • Replica Exchange with Solute Scaling: A more efficient version of Replica Exchange with Solute Tempering (REST2)

    Lingle Wang;Richard A. Friesner;B. J. Berne

  • Motifs for molecular recognition exploiting hydrophobic enclosure in protein–ligand binding

    Tom Young;Robert Abel;Byungchan Kim;Bruce J. Berne

  • Role of the Active-Site Solvent in the Thermodynamics of Factor Xa Ligand Binding

    Robert Abel;Tom Young;Ramy Farid;Bruce J. Berne

Frequent Co-Authors

Bruce J. Berne
Bruce J. Berne Columbia University
Mu-Hyun Baik
Mu-Hyun Baik Korea Advanced Institute of Science and Technology
Victor Guallar
Victor Guallar Barcelona Supercomputing Center
Matthew P. Jacobson
Matthew P. Jacobson University of California, San Francisco
Ronald M. Levy
Ronald M. Levy Temple University
David R. Reichman
David R. Reichman Columbia University
Kenneth Sauer
Kenneth Sauer Lawrence Berkeley National Laboratory
Woody Sherman
Woody Sherman Psivant Therapeutics
Louis E. Brus
Louis E. Brus Columbia University

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