World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
75
Citations
49132
World Ranking
4355
National Ranking
1377

Wonpil Im 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 Wonpil Im 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: 373 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.

Wonpil Im 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 Wonpil Im 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: 75 D-Index — 76th percentile

76% 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

  • 2007 - Fellow of Alfred P. Sloan Foundation

Overview

Wonpil Im is affiliated with Lehigh University in the United States. Their research spans the fields of biochemistry, genetics, and molecular biology, with additional work in medicine. Their expertise includes several subfields such as molecular biology, ecology, infectious diseases, materials chemistry, and computational theory and mathematics.

The scientist has published extensively on topics related to protein structure and dynamics, lipid membrane structure and behavior, bacteriophages and microbial interactions, computational drug discovery methods, RNA and protein synthesis mechanisms, receptor mechanisms and signaling, and erythrocyte function and pathophysiology.

Frequent co-authors of Wonpil Im include:

  • Yeol Kyo Choi
  • Jumin Lee
  • Sang-Jun Park
  • Han Zhang
  • Yiwei Cao

Prominent venues where the scientist has regularly published are:

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

Representative recent papers authored or co-authored by Wonpil Im include:

  • CHARMM-GUI supports the Amber force fields, 2020, The Journal of Chemical Physics
  • Improving Protein-Ligand Docking Results with High-Throughput Molecular Dynamics Simulations, 2020, Journal of Chemical Information and Modeling
  • Developing a Fully Glycosylated Full-Length SARS-CoV-2 Spike Protein Model in a Viral Membrane, 2020, The Journal of Physical Chemistry B
  • CHARMM-GUI Nanomaterial Modeler for Modeling and Simulation of Nanomaterial Systems, 2021, Journal of Chemical Theory and Computation
  • CHARMM-GUI Polymer Builder for Modeling and Simulation of Synthetic Polymers, 2021, Journal of Chemical Theory and Computation

Wonpil Im received the Fellowship of the Alfred P. Sloan Foundation in 2007.

Best Publications

  • CHARMM: the biomolecular simulation program.

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

  • CHARMM-GUI: a web-based graphical user interface for CHARMM.

    Sunhwan Jo;Taehoon Kim;Vidyashankara G. Iyer;Wonpil Im

  • CHARMM-GUI Input Generator for NAMD, Gromacs, Amber, Openmm, and CHARMM/OpenMM Simulations using the CHARMM36 Additive Force Field

    Jumin Lee;Xi Cheng;Jason M. Swails;Min Sun Yeom

  • CHARMM-GUI Membrane Builder Toward Realistic Biological Membrane Simulations

    Emilia L. Wu;Xi Cheng;Sunhwan Jo;Huan Rui

  • CHARMM-GUI Membrane Builder for Mixed Bilayers and Its Application to Yeast Membranes

    Sunhwan Jo;Joseph B. Lim;Jeffery B. Klauda;Wonpil Im

  • Automated builder and database of protein/membrane complexes for molecular dynamics simulations.

    Sunhwan Jo;Taehoon Kim;Wonpil Im

  • Generalized born model with a simple smoothing function

    Wonpil Im;Michael S. Lee;Charles L. Brooks

  • Performance comparison of generalized born and Poisson methods in the calculation of electrostatic solvation energies for protein structures.

    Michael Feig;Alexey Onufriev;Michael S. Lee;Wonpil Im

  • Continuum solvation model: Computation of electrostatic forces from numerical solutions to the Poisson-Boltzmann equation

    Wonpil Im;Dmitrii Beglov;Benoît Roux

  • CHARMM-GUI Membrane Builder for Complex Biological Membrane Simulations with Glycolipids and Lipoglycans.

    Jumin Lee;Dhilon S Patel;Jonas Ståhle;Sang-Jun Park

  • CHARMM-GUI ligand reader and modeler for CHARMM force field generation of small molecules

    Seonghoon Kim;Jumin Lee;Sunhwan Jo;Charles L. Brooks

  • CHARMM-GUI Martini Maker for Coarse-Grained Simulations with the Martini Force Field

    Yifei Qi;Helgi I. Ingólfsson;Xi Cheng;Jumin Lee

  • Theoretical and computational models of biological ion channels

    Benoît Roux;Toby Allen;Simon Bernèche;Wonpil Im

  • Ion permeation and selectivity of OmpF porin: a theoretical study based on molecular dynamics, Brownian dynamics, and continuum electrodiffusion theory.

    Wonpil Im;Benoı̂t Roux

  • An Implicit Membrane Generalized Born Theory for the Study of Structure, Stability, and Interactions of Membrane Proteins

    Wonpil Im;Michael Feig;Charles L. Brooks

  • Balancing Solvation and Intramolecular Interactions: Toward a Consistent Generalized Born Force Field

    Jianhan Chen;Wonpil Im;Charles L. Brooks

  • CHARMM-GUI supports the Amber force fields

    Jumin Lee;Manuel Hitzenberger;Manuel Rieger;Nathan R. Kern

  • CHARMM‐GUI 10 years for biomolecular modeling and simulation

    Sunhwan Jo;Xi Cheng;Jumin Lee;Seonghoon Kim

  • CHARMM-GUI Glycan Modeler for modeling and simulation of carbohydrates and glycoconjugates

    Sang-Jun Park;Jumin Lee;Yifei Qi;Nathan R Kern

  • CHARMM-GUI PDB Manipulator for Advanced Modeling and Simulations of Proteins Containing Nonstandard Residues

    Sunhwan Jo;Xi Cheng;Shahidul M. Islam;Lei Huang

  • Ions and counterions in a biological channel: a molecular dynamics simulation of OmpF porin from Escherichia coli in an explicit membrane with 1 M KCl aqueous salt solution.

    Wonpil Im;Benoı̂t Roux

  • A Grand Canonical Monte Carlo–Brownian Dynamics Algorithm for Simulating Ion Channels

    Wonpil Im;Stefan Seefeld;Benoît Roux

  • Generalized solvent boundary potential for computer simulations

    Wonpil Im;Simon Bernèche;Benoı̂t Roux

Frequent Co-Authors

Jeffery B. Klauda
Jeffery B. Klauda University of Maryland, College Park
Richard W. Pastor
Richard W. Pastor National Institutes of Health
Benoît Roux
Benoît Roux University of Chicago
Göran Widmalm
Göran Widmalm Stockholm University
Charles L. Brooks
Charles L. Brooks University of Michigan–Ann Arbor
Alexander D. MacKerell
Alexander D. MacKerell University of Maryland, Baltimore
Olaf S. Andersen
Olaf S. Andersen Cornell University
Michael Feig
Michael Feig Michigan State University
Yuji Sugita
Yuji Sugita RIKEN Center for Biosystems Dynamics Research
Stuart McLaughlin
Stuart McLaughlin Stony Brook University

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