World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
41
Citations
25315
World Ranking
17646
National Ranking
4303

David M. Ferguson 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 David M. Ferguson 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: 97 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

David M. Ferguson 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 David M. Ferguson 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: 41 D-Index — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

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

  • AMBER, a package of computer programs for applying molecular mechanics, normal mode analysis, molecular dynamics and free energy calculations to simulate the structural and energetic properties of molecules

    David A. Pearlman;David A. Case;James W. Caldwell;Wilson S. Ross

  • 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

  • Isothermal-isobaric molecular dynamics simulations with Monte Carlo volume sampling

    Kim Hung Chow;David M. Ferguson

  • Constant temperature simulations using the Langevin equation with velocity Verlet integration

    M.Germana Paterlini;David M Ferguson

  • A new approach to probing conformational space with molecular mechanics: Random incremental pulse search

    David M. Ferguson;Douglas J. Raber

  • Polymeric nanoparticles encapsulating novel TLR7/8 agonists as immunostimulatory adjuvants for enhanced cancer immunotherapy.

    Hyunjoon Kim;Lin Niu;Peter Larson;Tamara A. Kucaba

  • Synthesis and evaluation of acridine- and acridone-based anti-herpes agents with topoisomerase activity.

    John R. Goodell;Avni A. Madhok;Hiroshi Hiasa;David M. Ferguson

  • Identification of Compounds with Anti-West Nile Virus Activity

    John R. Goodell;Francesc Puig-Basagoiti;Brett M. Forshey;Pei Yong Shi

  • Parameterization and evaluation of a flexible water model

    David M. Ferguson

  • Cation−π Interactions: An Energy Decomposition Analysis and Its Implication in δ-Opioid Receptor−Ligand Binding

    Yirong Mo;Govindan Subramanian;Jiali Gao;David M. Ferguson

  • Triaryl Pyrazoline Compound Inhibits Flavivirus RNA Replication

    Francesc Puig-Basagoiti;Mark Tilgner;Brett M. Forshey;Sean M. Philpott;Sean M. Philpott

  • High-Throughput Assays Using a Luciferase-Expressing Replicon, Virus-Like Particles, and Full-Length Virus for West Nile Virus Drug Discovery

    Francesc Puig-Basagoiti;Tia S. Deas;Ping Ren;Mark Tilgner

  • Synthesis and cancer cell cytotoxicity of substituted xanthenes.

    Rajan Giri;John R. Goodell;Chengguo Xing;Adam Benoit

  • Potent and Selective Indolomorphinan Antagonists of the Kappa-Opioid Receptor

    William C. Stevens;Robert M. Jones;Govindan Subramanian;Thomas G. Metzger

  • Acridine-based agents with topoisomerase II activity inhibit pancreatic cancer cell proliferation and induce apoptosis.

    John R. Goodell;Andrei V. Ougolkov;Hiroshi Hiasa;Harneet Kaur

  • Molecular Docking Reveals a Novel Binding Site Model for Fentanyl at the μ-Opioid Receptor

    G Subramanian;M G Paterlini;P S Portoghese;D M Ferguson

  • Molecular recognition of opioid receptor ligands.

    Brian E. Kane;Bengt Svensson;David M. Ferguson

  • Can the Lennard—Jones 6-12 function replace the 10-12 form in molecular mechanics calculations?

    David M. Ferguson;Peter A. Kollman

  • Determination of the relative binding free energies of peptide inhibitors to the HIV-1 protease.

    David M. Ferguson;Randall J. Radmer;Peter A. Kollman

Frequent Co-Authors

Philip S. Portoghese
Philip S. Portoghese University of Minnesota
Peter A. Kollman
Peter A. Kollman University of California, San Francisco
Thomas S. Griffith
Thomas S. Griffith University of Minnesota
Raymond C. Rosen
Raymond C. Rosen New England Research Institutes
Pei-Yong Shi
Pei-Yong Shi GlaxoSmithKline (United Kingdom)
Piotr Cieplak
Piotr Cieplak Discovery Institute
Leonard R. Derogatis
Leonard R. Derogatis Johns Hopkins University School of Medicine
Sandra R. Leiblum
Sandra R. Leiblum Rutgers, The State University of New Jersey
Thomas R. Fox
Thomas R. Fox Boehringer Ingelheim (Germany)

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Best Scientists Citing David M. Ferguson