World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
63
Citations
57623
World Ranking
8252
National Ranking
2383

Darrin M. York 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 Darrin M. York 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: 225 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Darrin M. York 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 Darrin M. York 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: 63 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Overview

Darrin M. York is affiliated with Rutgers, The State University of New Jersey in the United States. Their research spans multiple fields with significant contributions to biochemistry, genetics, and molecular biology as well as materials science. Within these broad areas, their work delves into key subfields including molecular biology, materials chemistry, computational theory and mathematics, spectroscopy, and atomic and molecular physics and optics.

The main topics of York's research include protein structure and dynamics, machine learning in materials science, computational drug discovery methods, RNA and protein synthesis mechanisms, DNA and nucleic acid chemistry, X-ray diffraction in crystallography, and enzyme structure and function.

York has published extensively in a variety of scientific journals. Frequent venues for their work include:

  • Journal of Chemical Theory and Computation
  • Journal of Chemical Information and Modeling
  • The Journal of Physical Chemistry B
  • Journal of Chemical Education
  • The Journal of Chemical Physics

The scientist's recent notable publications include:

  • AmberTools, 2023, Journal of Chemical Information and Modeling
  • DeePMD-kit v2: A software package for deep potential models, 2023, The Journal of Chemical Physics
  • Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery, 2020, Journal of Chemical Information and Modeling
  • Fast, Accurate, and Reliable Protocols for Routine Calculations of Protein-Ligand Binding Affinities in Drug Design Projects Using AMBER GPU-TI with ff14SB/GAFF, 2020, ACS Omega
  • Development of Range-Corrected Deep Learning Potentials for Fast, Accurate Quantum Mechanical/Molecular Mechanical Simulations of Chemical Reactions in Solution, 2021, Journal of Chemical Theory and Computation

York frequently collaborates with other researchers, including Timothy J. Giese, Jinzhe Zeng, Tai-Sung Lee, Şölen Ekesan, and Duo Zhang.

Best Publications

  • Particle mesh Ewald: An N⋅log(N) method for Ewald sums in large systems

    Tom Darden;Darrin York;Lee Pedersen

  • CHARMM: the biomolecular simulation program.

    B. R. Brooks;C. L. Brooks;A. D. Mackerell;L. Nilsson

  • AmberTools

    Unknown

  • The effect of long‐range electrostatic interactions in simulations of macromolecular crystals: A comparison of the Ewald and truncated list methods

    Darrin M. York;Tom A. Darden;Lee G. Pedersen

  • GPU-Accelerated Molecular Dynamics and Free Energy Methods in Amber18: Performance Enhancements and New Features.

    Tai-Sung Lee;David S. Cerutti;Dan Mermelstein;Charles Lin

  • Extension of the Self-Consistent-Charge Density-Functional Tight-Binding Method: Third-Order Expansion of the Density Functional Theory Total Energy and Introduction of a Modified Effective Coulomb Interaction

    Yang Yang;Haibo Yu;Darrin York;Qiang Cui

  • An Efficient Linear-Scaling Ewald Method for Long-Range Electrostatic Interactions in Combined QM/MM Calculations.

    Kwangho Nam;Jiali Gao;Darrin M. York

  • Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery.

    Tai Sung Lee;Bryce K. Allen;Timothy J. Giese;Zhenyu Guo

  • Constant pH Replica Exchange Molecular Dynamics in Explicit Solvent Using Discrete Protonation States: Implementation, Testing, and Validation

    Jason M. Swails;Darrin M. York;Adrian E. Roitberg

  • A chemical potential equalization method for molecular simulations

    Darrin M. York;Weitao Yang

  • Atomic-level accuracy in simulations of large protein crystals

    Darrin M. York;Alexander Wlodawer;Lee G. Pedersen;Tom A. Darden

  • Toward the Accurate Modeling of DNA: The Importance of Long-Range Electrostatics

    Darrin M. York;Weitao Yang;Hsing Lee;Tom Darden

  • Linear‐scaling semiempirical quantum calculations for macromolecules

    Tai‐Sung Lee;Darrin M. York;Weitao Yang

  • Using AMBER18 for Relative Free Energy Calculations.

    Lin Frank Song;Tai Sung Lee;Chun Zhu;Darrin M. York

  • Specific Reaction Parametrization of the AM1/d Hamiltonian for Phosphoryl Transfer Reactions: H, O, and P Atoms

    Kwangho Nam;Qiang Cui;Jiali Gao;Darrin M. York

  • Accurate proton affinity and gas-phase basicity values for molecules important in biocatalysis.

    Adam Moser;Kevin Range;Darrin M. York

  • The fast Fourier Poisson method for calculating Ewald sums

    Darrin York;Weitao Yang

  • Solvent Structure and Hammerhead Ribozyme Catalysis

    Monika Martick;Tai-Sung Lee;Darrin M. York;William G. Scott;William G. Scott

  • Role of Mg2+ in Hammerhead Ribozyme Catalysis from Molecular Simulation

    Tai-Sung Lee;Carlos Silva López;George M Giambasu;Monika Martick

  • Theoretical methods that help understanding the structure and reactivity of gas phase ions

    J.M. Mercero;J.M. Matxain;X. Lopez;D.M. York

  • Threshold Occupancy and Specific Cation Binding Modes in the Hammerhead Ribozyme Active Site are Required for Active Conformation

    Tai-Sung Lee;George M. Giambaşu;Carlos P. Sosa;Carlos P. Sosa;Monika Martick

Frequent Co-Authors

Joseph A. Piccirilli
Joseph A. Piccirilli University of Chicago
Lee G. Pedersen
Lee G. Pedersen University of North Carolina at Chapel Hill
Weitao Yang
Weitao Yang Duke University
Jiali Gao
Jiali Gao University of Minnesota
David A. Case
David A. Case Rutgers, The State University of New Jersey
Qiang Cui
Qiang Cui Boston University
Angel R. de Lera
Angel R. de Lera Universidade de Vigo
Shantenu Jha
Shantenu Jha Rutgers, The State University of New Jersey
Walter Thiel
Walter Thiel Max Planck Society
Marcus Elstner
Marcus Elstner Karlsruhe Institute of Technology

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