World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
88
Citations
60928
World Ranking
2231
National Ranking
799

Kenneth M. Merz 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 Kenneth M. Merz 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: 377 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Kenneth M. Merz 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 Kenneth M. Merz 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: 88 D-Index — 88th percentile

88% 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

  • 1999 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Kenneth M. Merz is affiliated with Michigan State University in the United States. Their research contributions span numerous areas within chemical and computational sciences, marked by extensive publication and collaboration.

The scientist has published research in various fields and subfields including History and Philosophy of Science, Molecular Biology, Computational Theory and Mathematics, Spectroscopy, and Materials Chemistry.

The main topics in their work comprise Academic Writing and Publishing, Computational Drug Discovery Methods, Protein Structure and Dynamics, Machine Learning in Materials Science, Spectroscopy and Quantum Chemical Studies, Mass Spectrometry Techniques and Applications, and Metabolomics and Mass Spectrometry Studies.

Among their recent papers are:

  • AmberTools, 2023, Journal of Chemical Information and Modeling
  • Parameterization of Monovalent Ions for the OPC3, OPC, TIP3P-FB, and TIP4P-FB Water Models, 2021, Journal of Chemical Information and Modeling
  • A critical overview of computational approaches employed for COVID-19 drug discovery, 2021, Chemical Society Reviews
  • Systematic Parametrization of Divalent Metal Ions for the OPC3, OPC, TIP3P-FB, and TIP4P-FB Water Models, 2020, Journal of Chemical Theory and Computation
  • Evolution of Alchemical Free Energy Methods in Drug Discovery, 2020, Journal of Chemical Information and Modeling

Frequent co-authors collaborating with Kenneth M. Merz include:

  • William L. Jorgensen
  • Cynthia J. Burrows
  • Shu Wang
  • Hyun Jae Kim
  • Gerald J. Meyer

They have published extensively in several prominent scientific venues. The frequent publication venues include:

  • Journal of Chemical Information and Modeling
  • Journal of Chemical Theory and Computation
  • arXiv (Cornell University)
  • Journal of the American Society for Mass Spectrometry
  • Chemical Reviews

Kenneth M. Merz has contributed to book publications, including a title published by the American Chemical Society:

  • Python for Chemists, 2021

In recognition of their work, they were named a Fellow of the American Association for the Advancement of Science (AAAS) in 1999.

Best Publications

  • A Second Generation Force Field for the Simulation of Proteins, Nucleic Acids, and Organic Molecules

    Wendy D. Cornell;Piotr Cieplak;Piotr Cieplak;Christopher I. Bayly;Christopher I. Bayly;Ian R. Gould;Ian R. Gould

  • The Amber biomolecular simulation programs

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

  • Atomic charges derived from semiempirical methods

    B. H. Besler;K. M. Merz;P. A. Kollman

  • Prediction of drug absorption using multivariate statistics.

    William J. Egan;Kenneth M. Merz;John J. Baldwin

  • AmberTools

    Unknown

  • The Protein Folding Problem and Tertiary Structure Prediction

    Kenneth M. Merz;Scott M. Le Grand

  • Rational Design of Particle Mesh Ewald Compatible Lennard-Jones Parameters for +2 Metal Cations in Explicit Solvent.

    Pengfei Li;Benjamin P. Roberts;Dhruva K. Chakravorty;Kenneth M. Merz

  • MCPB.py: A Python Based Metal Center Parameter Builder

    Pengfei Li;Kenneth M. Merz

  • Assessment of the “6-31+G** + LANL2DZ” Mixed Basis Set Coupled with Density Functional Theory Methods and the Effective Core Potential: Prediction of Heats of Formation and Ionization Potentials for First-Row-Transition-Metal Complexes

    Yue Yang;Michael N. Weaver;Kenneth M. Merz

  • Structural Survey of Zinc Containing Proteins and the Development of the Zinc AMBER Force Field (ZAFF)

    Martin B. Peters;Yue Yang;Bing Wang;László Füsti-Molnár

  • A Second Generation Force Field for the Simulation of Proteins, Nucleic Acids, and Organic Molecules J. Am. Chem. Soc. 1995, 117, 5179−5197

    Wendy D. Cornell;Piotr Cieplak;Christopher I. Bayly;Ian R. Gould

  • Systematic Parameterization of Monovalent Ions Employing the Nonbonded Model.

    Pengfei Li;Lin Frank Song;Kenneth M. Merz

  • Taking into Account the Ion-Induced Dipole Interaction in the Nonbonded Model of Ions

    Pengfei Li;Kenneth M. Merz

  • Combined Quantum Mechanical/Molecular Mechanical Methodologies Applied to Biomolecular Systems

    Gerald Monard;Kenneth M. Merz

  • High throughput docking for library design and library prioritization

    David J. Diller;Kenneth M. Merz

  • Critical Assessment of the Performance of Density Functional Methods for Several Atomic and Molecular Properties

    Kevin E. Riley;Bryan T. Op't Holt;Kenneth M. Merz

  • Metal Ion Modeling Using Classical Mechanics

    Pengfei Li;Kenneth M. Merz

  • Parameterization of Highly Charged Metal Ions Using the 12-6-4 LJ-Type Nonbonded Model in Explicit Water

    Pengfei Li;Lin Frank Song;Kenneth M. Merz

  • d10-d10 Interactions: multinuclear copper(I) complexes

    Kenneth M. Merz;Roald Hoffmann

  • Force Field Design for Metalloproteins

    Stephen C. Hoops;Kenneth W. Anderson;Kenneth M. Merz

  • Semiempirical molecular orbital calculations with linear system size scaling

    Steven L. Dixon;Kenneth M. Merz

Frequent Co-Authors

Gunda I. Georg
Gunda I. Georg University of Minnesota
Dennis C. Liotta
Dennis C. Liotta Emory University
Alanna Schepartz
Alanna Schepartz University of California, Berkeley
Craig W. Lindsley
Craig W. Lindsley Vanderbilt University
Carolyn R. Bertozzi
Carolyn R. Bertozzi Stanford University
Prashant V. Kamat
Prashant V. Kamat University of Notre Dame
Marc A. Hillmyer
Marc A. Hillmyer University of Minnesota
Vincent M. Rotello
Vincent M. Rotello University of Massachusetts Amherst
Gregory D. Scholes
Gregory D. Scholes Princeton University

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