World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
50
Citations
23827
World Ranking
14210
National Ranking
3669

Nathan A. Baker 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 Nathan A. Baker 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: 157 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Nathan A. Baker 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 Nathan A. Baker 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: 50 D-Index — 21st percentile

21% 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

  • 2011 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2004 - Fellow of Alfred P. Sloan Foundation

Overview

Nathan A. Baker is affiliated with the Pacific Northwest National Laboratory in the United States. Their research spans several interdisciplinary areas including atomic and molecular physics, optics, artificial intelligence, materials chemistry, and demography.

The scientist's work frequently appears in prominent publication venues, with multiple papers published in arXiv (Cornell University), Academy of Management Proceedings, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information), and journals such as the Journal of Chemical Theory and Computation and the Journal of the American Chemical Society.

Recent notable papers include:

  • Accelerating Computational Materials Discovery with Machine Learning and Cloud High-Performance Computing: from Large-Scale Screening to Experimental Validation, 2024, Journal of the American Chemical Society
  • Data-driven molecular modeling with the generalized Langevin equation, 2020, Journal of Computational Physics
  • Toward Quantum Computing for High-Energy Excited States in Molecular Systems: Quantum Phase Estimations of Core-Level States, 2020, Journal of Chemical Theory and Computation
  • Accelerating computational materials discovery with artificial intelligence and cloud high-performance computing: from large-scale screening to experimental validation, 2024, arXiv (Cornell University)
  • Assessing the impact of technological change on similar occupations: Implications for employment alternatives, 2023, PLoS ONE

The main topics covered in their body of work include:

  • Machine Learning in Materials Science
  • Inorganic Chemistry and Materials
  • Advanced Photocatalysis Techniques
  • Protein Structure and Dynamics
  • Advanced Chemical Physics Studies
  • Spectroscopy and Quantum Chemical Studies
  • Retirement, Disability, and Employment

Frequent coauthors associated with Nathan A. Baker's research include Matthias Troyer, Hongbin Liu, Bo Peng, Karol Kowalski, and Nicholas P. Bauman. These collaborations suggest a strong interdisciplinary approach involving computational chemistry, physics, and materials science.

Nathan A. Baker has been recognized through fellowships, including being awarded the title of Fellow of the American Association for the Advancement of Science (AAAS) in 2011 and Fellow of the Alfred P. Sloan Foundation in 2004.

Best Publications

  • Electrostatics of nanosystems: Application to microtubules and the ribosome

    Nathan A. Baker;David Sept;Simpson Joseph;Michael J. Holst

  • PDB2PQR: an automated pipeline for the setup of Poisson–Boltzmann electrostatics calculations

    Todd J. Dolinsky;Jens E. Nielsen;J. Andrew McCammon;Nathan A. Baker

  • Improvements to the APBS biomolecular solvation software suite.

    Elizabeth Jurrus;Dave Engel;Keith Star;Kyle Monson

  • PDB2PQR: expanding and upgrading automated preparation of biomolecular structures for molecular simulations

    Todd J. Dolinsky;Paul Czodrowski;Hui Li;Jens E. Nielsen

  • Improvements to the APBS biomolecular solvation software suite

    Elizabeth Jurrus;Dave Engel;Keith Star;Kyle Monson

  • Improving implicit solvent simulations: a Poisson-centric view.

    Nathan A Baker

  • Adaptive multilevel finite element solution of the Poisson–Boltzmann equation I. Algorithms and examples

    Michael J. Holst;Nathan A. Baker;Feng Wang

  • Assessing implicit models for nonpolar mean solvation forces: The importance of dispersion and volume terms

    Jason A. Wagoner;Nathan A. Baker

  • Web servers and services for electrostatics calculations with APBS and PDB2PQR

    Samir Unni;Yong Huang;Robert M. Hanson;Malcolm Tobias

  • PROGRESS IN THE PREDICTION OF pKa VALUES IN PROTEINS

    Emil Alexov;Ernest L. Mehler;Nathan Baker;António M. Baptista

  • Poisson-Boltzmann methods for biomolecular electrostatics.

    Nathan A. Baker

  • Adaptive multilevel finite element solution of the Poisson–Boltzmann equation II. Refinement at solvent‐accessible surfaces in biomolecular systems

    N. Baker;M. Holst;F. Wang

  • Biomolecular electrostatics and solvation: a computational perspective.

    Pengyu Ren;Jaehun Chun;Dennis G. Thomas;Michael J. Schnieders

  • The physical basis of microtubule structure and stability.

    David Sept;Nathan A. Baker;J. Andrew McCammon

  • Molecular Dynamics Simulations of Asymmetric NaCl and KCl Solutions Separated by Phosphatidylcholine Bilayers: Potential Drops and Structural Changes Induced by Strong Na+-Lipid Interactions and Finite Size Effects

    Sun Joo Lee;Yuhua Song;Nathan A. Baker

  • Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models.

    Garrett B. Goh;Charles Siegel;Abhinav Vishnu;Nathan Oken Hodas

  • A multiscale model linking ion-channel molecular dynamics and electrostatics to the cardiac action potential

    Jonathan R. Silva;Hua Pan;Dick Wu;Ali Nekouzadeh

  • NanoParticle Ontology for cancer nanotechnology research

    Dennis G. Thomas;Rohit V. Pappu;Nathan A. Baker

  • Solvation forces on biomolecular structures: a comparison of explicit solvent and Poisson-Boltzmann models.

    Jason Wagoner;Nathan A. Baker

  • Polarizable atomic multipole solutes in a Poisson-Boltzmann continuum.

    Michael J. Schnieders;Nathan A. Baker;Pengyu Ren;Jay W. Ponder

  • APBSmem: A Graphical Interface for Electrostatic Calculations at the Membrane

    Keith M. Callenberg;Om P. Choudhary;Gabriel L. de Forest;David W. Gohara

  • Finite Element Solution of the Steady-State Smoluchowski Equation for Rate Constant Calculations

    Yuhua Song;Yongjie Zhang;Tongye Shen;Chandrajit L. Bajaj

  • ISA-TAB-Nano: A Specification for Sharing Nanomaterial Research Data in Spreadsheet-based Format

    Dennis G Thomas;Sharon Gaheen;Stacey L Harper;Martin Fritts

  • Bridging implicit and explicit solvent approaches for membrane electrostatics.

    Jung-Hsin Lin;Nathan A. Baker;J. Andrew McCammon

Frequent Co-Authors

J. Andrew McCammon
J. Andrew McCammon University of California, San Diego
Paul H. Schlesinger
Paul H. Schlesinger Washington University in St. Louis
Michael Holst
Michael Holst University of California, San Diego
Guo-Wei Wei
Guo-Wei Wei Michigan State University
Daniel S. Ory
Daniel S. Ory Washington University in St. Louis
Chandrajit L. Bajaj
Chandrajit L. Bajaj The University of Texas at Austin
Nathan Wiebe
Nathan Wiebe University of Toronto
Yongjie Zhang
Yongjie Zhang Carnegie Mellon University
Teresa Head-Gordon
Teresa Head-Gordon University of California, Berkeley
Sriram Krishnamoorthy
Sriram Krishnamoorthy University of California, Santa Barbara

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