World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
64
Citations
14058
World Ranking
8071
National Ranking
2336

Ron Elber 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 Ron Elber 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: 232 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Ron Elber 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 Ron Elber 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: 64 D-Index — 56th percentile

56% 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

  • 2013 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2008 - Fellow of American Physical Society (APS) Citation For contributions to computational chemical physics, through the development and application of algorithms and theories for the static and dynamic behavior of macromolecules, including methods for the simulation of long time events in complex systems

Overview

Ron Elber is affiliated with The University of Texas at Austin in the United States. Their research spans several areas within biochemistry, genetics, and molecular biology, with a strong focus on molecular biology and atomic and molecular physics.

The main subjects of their work include:

  • Protein Structure and Dynamics
  • Lipid Membrane Structure and Behavior
  • RNA and protein synthesis mechanisms
  • Spectroscopy and Quantum Chemical Studies
  • RNA Interference and Gene Delivery
  • Advanced biosensing and bioanalysis techniques
  • DNA and Nucleic Acid Chemistry

Elber has contributed extensively to the scientific literature, publishing predominantly in venues such as:

  • The Journal of Physical Chemistry B
  • Biophysical Journal
  • Journal of Chemical Theory and Computation
  • bioRxiv (Cold Spring Harbor Laboratory)
  • The Journal of Physical Chemistry Letters

Notable recent papers authored or co-authored by Ron Elber include:

  • Milestoning: An Efficient Approach for Atomically Detailed Simulations of Kinetics in Biophysics, 2020, Annual Review of Biophysics
  • Interfacial Dynamics in Lipid Membranes: The Effects of Headgroup Structures, 2021, The Journal of Physical Chemistry B
  • Computer Simulations of the Dissociation Mechanism of Gleevec from Abl Kinase with Milestoning, 2021, The Journal of Physical Chemistry B
  • Peptide Permeation across a Phosphocholine Membrane: An Atomically Detailed Mechanism Determined through Simulations and Supported by Experimentation, 2022, The Journal of Physical Chemistry B
  • A peptide-derived strategy for specifically targeting the mitochondria and ER of cancer cells: a new approach in fighting cancer, 2022, Chemical Science

Frequent collaborators in Elber's research include Alfredo E. Cárdenas, Arman Fathizadeh, Rachel Nechushtai, Lauren J. Webb, and Hao Wang. The researcher has a sustained collaborative record with these coauthors contributing significantly to their publication output.

Elber's work intersects with multiple subfields such as molecular biology, atomic and molecular physics, genetics, oncology, and statistical and nonlinear physics, demonstrating a multidisciplinary approach to scientific questions.

Recognition of Elber's contributions includes being named a Fellow of the American Association for the Advancement of Science (AAAS) in 2013. Earlier, in 2008, they were made a Fellow of the American Physical Society (APS) with a citation acknowledging contributions to computational chemical physics, specifically in development and application of algorithms and theories related to macromolecular behavior and simulation methods for complex systems with long-time events.

Best Publications

  • Multiple Conformational States of Proteins: A Molecular Dynamics Analysis of Myoglobin

    R Elber;M Karplus

  • Computing time scales from reaction coordinates by milestoning

    Anton K. Faradjian;Ron Elber

  • Enhanced sampling in molecular dynamics: use of the time-dependent Hartree approximation for a simulation of carbon monoxide diffusion through myoglobin

    Ron Elber;M. Karplus

  • A method for determining reaction paths in large molecules: application to myoglobin

    R. Elber;M. Karplus

  • A new technique to calculate steepest descent paths in flexible polyatomic systems

    Alexander Ulitsky;Ron Elber

  • Reaction path study of conformational transitions in flexible systems: Applications to peptides

    Ryszard Czerminski;Ryszard Czerminski;Ron Elber

  • Calculation of classical trajectories with a very large time step: Formalism and numerical examples

    Roberto Olender;Ron Elber

  • Modeling side chains in peptides and proteins: Application of the locally enhanced sampling and the simulated annealing methods to find minimum energy conformations

    Adrian Roitberg;Ron Elber

  • Extending molecular dynamics time scales with milestoning: Example of complex kinetics in a solvated peptide

    Anthony M. A. West;Ron Elber;David Shalloway

  • Long-timescale simulation methods

    Ron Elber

  • On the assumptions underlying milestoning.

    Eric Vanden-Eijnden;Maddalena Venturoli;Giovanni Ciccotti;Ron Elber

  • Structural and Functional Effects of Apolar Mutations of the Distal Valine in Myoglobin

    Michael L. Quillin;Tiansheng Li;John S. Olson;George N. Phillips

  • Distal pocket residues affect picosecond ligand recombination in myoglobin. An experimental and molecular dynamics study of position 29 mutants.

    Q.H. Gibson;R Regan;R Elber;J.S. Olson

  • MOIL: A program for simulations of macromolecules

    Ron Elber;Ron Elber;Adrian Roitberg;Adrian Roitberg;Carlos Simmerling;Carlos Simmerling;Robert Goldstein

  • Self‐avoiding walk between two fixed points as a tool to calculate reaction paths in large molecular systems

    Ryszard Czerminski;Ron Elber

  • A Stochastic Algorithm for the Isobaric-Isothermal Ensemble with Ewald Summations for All Long Range Forces.

    Michele Di Pierro;Ron Elber;Benedict Leimkuhler

  • Reaction path study of helix formation in tetrapeptides: Effect of side chains

    Chyung Choi;Ron Elber

  • Prediction of homoprotein and heteroprotein complexes by protein docking and template-based modeling: A CASP-CAPRI experiment.

    Marc F. Lensink;Sameer Velankar;Andriy Kryshtafovych;Shen You Huang

  • Anharmonic wave functions of proteins: Quantum self-consistent field calculations of BPTI

    Adrian Roitberg;R. Benny Gerber;R. Benny Gerber;Ron Elber;Ron Elber;Mark A. Ratner

  • An atomically detailed study of the folding pathways of protein A with the stochastic difference equation.

    Avijit Ghosh;Ron Elber;Harold A. Scheraga

  • SHAKE parallelization

    R. Elber;A. P. Ruymgaart;B. Hess

Frequent Co-Authors

Kenneth A. Johnson
Kenneth A. Johnson The University of Texas at Austin
Carlos Simmerling
Carlos Simmerling Stony Brook University
Adrian E. Roitberg
Adrian E. Roitberg University of Florida
Quentin H. Gibson
Quentin H. Gibson Rice University
D. Thirumalai
D. Thirumalai The University of Texas at Austin
Martin Karplus
Martin Karplus Harvard University
John S. Olson
John S. Olson Rice University
Jon Kleinberg
Jon Kleinberg Cornell University
Thorsten Joachims
Thorsten Joachims Cornell University
Aviv Amirav
Aviv Amirav Tel Aviv University

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