World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
136
Citations
175334
World Ranking
236
National Ranking
112

Peter A. Kollman 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 Peter A. Kollman 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: 522 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Peter A. Kollman 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 Peter A. Kollman 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: 136 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Overview

Peter A. Kollman was affiliated with the University of California, San Francisco in the United States. Their academic career was associated with this institution, which is known for its research contributions in health sciences and related fields.

While detailed information regarding Kollman's recent papers, frequent co-authors, and publication venues is not available, this absence suggests a limited public record of their published research outputs in accessible databases.

No specific book publications or awards were recorded for Kollman, and there is no available data on their main fields, subfields, or focused research topics. As such, further details about their academic specializations or research themes cannot be provided.

Kollman was recognized as deceased at the time of this profile creation, indicating the entirety of their professional work should be considered in past tense.

Best Publications

  • Development and testing of a general amber force field.

    Junmei Wang;Romain M. Wolf;James W. Caldwell;Peter A. Kollman

  • 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

  • SETTLE: an analytical version of the SHAKE and RATTLE algorithm for rigid water models

    Shuichi Miyamoto;Peter A. Kollman

  • A well-behaved electrostatic potential based method using charge restraints for deriving atomic charges: the RESP model

    Christopher I. Bayly;Piotr Cieplak;Wendy Cornell;Peter A. Kollman

  • The weighted histogram analysis method for free-energy calculations on biomolecules. I: The method

    Shankar Kumar;Djamal Bouzida;Robert H. Swendsen;Peter A. Kollman

  • A NEW FORCE FIELD FOR MOLECULAR MECHANICAL SIMULATION OF NUCLEIC ACIDS AND PROTEINS

    S J Weiner;P A Kollman;D A Case;U C Singh

  • How Well Does a Restrained Electrostatic Potential (RESP) Model Perform in Calculating Conformational Energies of Organic and Biological Molecules

    Junmei Wang;Piotr Cieplak;Piotr Cieplak;Peter A. Kollman

  • Automatic atom type and bond type perception in molecular mechanical calculations.

    Junmei Wang;Wei Wang;Peter A. Kollman;David A. Case

  • Calculating Structures and Free Energies of Complex Molecules: Combining Molecular Mechanics and Continuum Models

    Peter A. Kollman;Irina Massova;Carolina Reyes;Bernd Kuhn

  • 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

  • An approach to computing electrostatic charges for molecules

    U. Chandra Singh;Peter A. Kollman

  • An all atom force field for simulations of proteins and nucleic acids.

    Scott J. Weiner;Peter A. Kollman;Dzung T. Nguyen;David A. Case

  • Atomic charges derived from semiempirical methods

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

  • 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

  • FREE ENERGY CALCULATIONS : APPLICATIONS TO CHEMICAL AND BIOCHEMICAL PHENOMENA

    Peter. Kollman

  • Continuum Solvent Studies of the Stability of DNA, RNA, and Phosphoramidate−DNA Helices

    Jayashree Srinivasan;Thomas E. Cheatham;Piotr Cieplak;Peter A. Kollman

  • Pathways to a Protein Folding Intermediate Observed in a 1-Microsecond Simulation in Aqueous Solution

    Yong Duan;Peter A. Kollman

  • AMBER: Assisted model building with energy refinement. A general program for modeling molecules and their interactions

    Paul K. Weiner;Peter A. Kollman

  • Application of RESP charges to calculate conformational energies, hydrogen bond energies, and free energies of solvation

    Wendy D. Cornell;Piotr Cieplak;Christopher I. Bayly;Peter A. Kollman

  • A combined ab initio quantum mechanical and molecular mechanical method for carrying out simulations on complex molecular systems: Applications to the CH3Cl + Cl− exchange reaction and gas phase protonation of polyethers

    U. Chandra Singh;Peter A. Kollman

  • A NEW FORCE FIELD FOR MOLECULAR MECHANICAL SIMULATION OF NUCLEIC ACIDS AND PROTEINS

    S. J. Weiner;P. A. Kollman;D. A. Case;U. C. Singh

Frequent Co-Authors

Piotr Cieplak
Piotr Cieplak Discovery Institute
Irwin D. Kuntz
Irwin D. Kuntz University of California, San Francisco
Thomas E. Cheatham
Thomas E. Cheatham University of Utah
David A. Case
David A. Case Rutgers, The State University of New Jersey
David M. Ferguson
David M. Ferguson University of Minnesota
Junmei Wang
Junmei Wang University of Pittsburgh
Leland C. Allen
Leland C. Allen Princeton University
Wei Wang
Wei Wang University of California, San Diego
George L. Kenyon
George L. Kenyon University of California, San Francisco
Roberto Car
Roberto Car Princeton University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a degree in Chemistry opens doors to various career paths, some of which can also be explored online. Students interested in interdisciplinary fields might consider programs like criminal justice associate programs online, which provide foundational knowledge applicable to forensics and regulatory roles.

For those inclined towards legal support roles in chemical patents or compliance, exploring what types of paralegals make the most money can offer insights on specialized paralegal paths and their earning potential.

Chemistry graduates also often enter the pharmaceutical industry. Understanding the pharmaceutical sales salary and career trajectories helps those interested in blending scientific knowledge with business and communication skills.

Alternatively, becoming a licensed pharmacist remains one of the most direct ways to apply a chemistry background, with robust salary prospects detailed in how to become a pharmacist salary. These diverse pathways highlight the flexibility and opportunity chemistry education offers.

Best Scientists Citing Peter A. Kollman

Recently Published Articles