World's Best Scientists 2026 revealed!
Jane S. Richardson

Jane S. Richardson

D-Index & Metrics

Chemistry

D-Index
67
Citations
109359
World Ranking
6746
National Ranking
2024

Jane S. Richardson 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 Jane S. Richardson 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: 183 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Jane S. Richardson 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 Jane S. Richardson 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: 67 D-Index — 62nd percentile

62% 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

  • 2006 - Member of the National Academy of Medicine (NAM)
  • 1991 - Fellow of the American Academy of Arts and Sciences
  • 1991 - Member of the National Academy of Sciences
  • 1985 - Fellow of the MacArthur Foundation
  • 1959 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Jane S. Richardson is affiliated with Duke University in the United States. Their research spans several fields including Biochemistry, Genetics and Molecular Biology, as well as Materials Science. Within these broader fields, their work focuses on subfields such as Molecular Biology, Materials Chemistry, Structural Biology, Oncology, and Spectroscopy.

The main topics Jane S. Richardson has contributed to include:

  • Enzyme Structure and Function
  • Protein Structure and Dynamics
  • Protein purification and stability
  • RNA and protein synthesis mechanisms
  • Advanced Electron Microscopy Techniques and Applications
  • Peptidase Inhibition and Analysis
  • RNA modifications and cancer

The scientist has coauthored frequently with several researchers, including:

  • Christopher J. Williams
  • David Richardson
  • Pavel V. Afonine
  • Paul D. Adams
  • Thomas C. Terwilliger

Jane S. Richardson's publications are often found in venues such as Zenodo (CERN European Organization for Nuclear Research), bioRxiv (Cold Spring Harbor Laboratory), UNC Libraries, Nature Methods, and Acta Crystallographica Section D Structural Biology.

Selected recent papers include:

  • "AlphaFold predictions are valuable hypotheses and accelerate but do not replace experimental structure determination" (2023, Nature Methods)
  • "Improved AlphaFold modeling with implicit experimental information" (2022, Nature Methods)
  • "Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge" (2021, Nature Methods)
  • "Accelerating crystal structure determination with iterative AlphaFold prediction" (2023, Acta Crystallographica Section D Structural Biology)
  • "AlphaFold predictions are valuable hypotheses, and accelerate but do not replace experimental structure determination" (2022, bioRxiv (Cold Spring Harbor Laboratory))

Throughout their career, Jane S. Richardson has received multiple recognitions including:

  • Member of the National Academy of Medicine (NAM), 2006
  • Fellow of the American Academy of Arts and Sciences, 1991
  • Member of the National Academy of Sciences, 1991
  • Fellow of the MacArthur Foundation, 1985
  • Fellow of the American Association for the Advancement of Science (AAAS), 1959

Best Publications

  • Phenix - a comprehensive python-based system for macromolecular structure solution

    Paul D Adams;Paul D Adams;Pavel Afonine;Gábor Bunkóczi;Vincent B Chen

  • MolProbity: all-atom structure validation for macromolecular crystallography

    Vincent B. Chen;W. Bryan Arendall;Jeffrey J. Headd;Daniel A. Keedy

  • Structure validation by Calpha geometry: phi,psi and Cbeta deviation.

    Simon C. Lovell;Ian W. Davis;W. Bryan Arendall;Paul I. W. de Bakker

  • Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix

    D. Liebschner;P.V. Afonine;M.L. Baker;G. Bunkóczi

  • The anatomy and taxonomy of protein structure.

    Jane S. Richardson

  • MolProbity: More and better reference data for improved all-atom structure validation.

    Christopher J. Williams;Jeffrey J. Headd;Nigel W. Moriarty;Michael G. Prisant

  • MolProbity: all-atom contacts and structure validation for proteins and nucleic acids

    Ian W. Davis;Andrew Leaver-Fay;Vincent B. Chen;Jeremy N. Block

  • Cloning of a T cell growth factor that interacts with the beta chain of the interleukin-2 receptor

    Kenneth H. Grabstein;June Eisenman;Kurt Shanebeck;Charles Rauch

  • Amino acid preferences for specific locations at the ends of alpha helices

    Jane S. Richardson;David C. Richardson

  • Asparagine and Glutamine: Using Hydrogen Atom Contacts in the Choice of Side-chain Amide Orientation

    J.Michael Word;Simon C. Lovell;Jane S. Richardson;David C. Richardson

  • The penultimate rotamer library.

    Simon C. Lovell;J. Michael Word;Jane S. Richardson;David C. Richardson

  • Determination and analysis of the 2 A-structure of copper, zinc superoxide dismutase.

    John A. Tainer;Elizabeth D. Getzoff;Karl M. Beem;Jane S. Richardson

  • Structure and mechanism of copper, zinc superoxide dismutase

    John A. Tainer;Elizabeth D. Getzoff;Elizabeth D. Getzoff;Jane S. Richardson;David C. Richardson

  • MolProbity: structure validation and all-atom contact analysis for nucleic acids and their complexes

    Ian W. Davis;Laura Weston Murray;Jane S. Richardson;David C. Richardson

  • The Phenix software for automated determination of macromolecular structures.

    Paul D. Adams;Pavel V. Afonine;Gábor Bunkóczi;Vincent B. Chen

  • Natural β-sheet proteins use negative design to avoid edge-to-edge aggregation

    Jane S. Richardson;David C. Richardson

  • Electrostatic recognition between superoxide and copper, zinc superoxide dismutase

    Elizabeth D. Getzoff;John A. Tainer;Paul K. Weiner;Peter A. Kollman

  • β-Sheet topology and the relatedness of proteins

    Jane S. Richardson

  • Visualizing and quantifying molecular goodness-of-fit: small-probe contact dots with explicit hydrogen atoms.

    Word Jm;Lovell Sc;LaBean Th;Taylor Hc

  • Crystal structure of bovine Cu,Zn superoxide dismutase at 3 A resolution: chain tracing and metal ligands

    Jane S. Richardson;Kenneth A. Thomas;Byron H. Rubin;David C. Richardson

  • De novo design, expression, and characterization of Felix: a four-helix bundle protein of native-like sequence

    Michael H. Hecht;Jane S. Richardson;David C. Richardson;Richard C. Ogden

  • A New Generation of Crystallographic Validation Tools for the Protein Data Bank

    Randy J. Read;Paul D. Adams;W. Bryan Arendall;Axel T. Brunger

  • Structure Validation by C Geometry: , and C Deviation

    Simon C. Lovell;Ian W. Davis;W. Bryan Arendall;Paul I. W. de Bakker

  • Structures of the Bacterial Ribosome in Classical and Hybrid States of tRNA Binding

    Jack A. Dunkle;Leyi Wang;Michael B. Feldman;Michael B. Feldman;Arto Pulk

Frequent Co-Authors

David C. Richardson
David C. Richardson Duke University
Paul D. Adams
Paul D. Adams Lawrence Berkeley National Laboratory
Thomas C. Terwilliger
Thomas C. Terwilliger Los Alamos National Laboratory
Randy J. Read
Randy J. Read University of Cambridge
Pavel V. Afonine
Pavel V. Afonine Lawrence Berkeley National Laboratory
Zhi-Jie Liu
Zhi-Jie Liu ShanghaiTech University
Ralf W. Grosse-Kunstleve
Ralf W. Grosse-Kunstleve Lawrence Berkeley National Laboratory
Bi-Cheng Wang
Bi-Cheng Wang University of Georgia
Michael W. W. Adams
Michael W. W. Adams University of Georgia
Helen M. Berman
Helen M. Berman Rutgers, The State University of New Jersey

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

For students studying Chemistry in the USA, exploring related fields can open diverse career opportunities. One relevant area is forensic science, where a strong foundation in chemistry is essential. Many professionals in this field pursue advanced education, such as forensic psychology master's programs, to complement their scientific expertise with insights into human behavior and criminal investigations.

Understanding earning potential and career growth is crucial. Careers stemming from a forensic science degree are often rewarding, with competitive salaries that reflect the specialized skills required. Detailed information on forensic science degree salary can guide students in making informed decisions about their educational paths and job prospects.

Cost is another major consideration. For those interested in crime-related fields but concerned about expenses, researching criminal justice degree tuition provides valuable insights into program affordability and financial planning.

Moreover, many students begin their educational journeys with accessible programs like online criminal justice associate degree programs. These options offer flexible and budget-friendly ways to start careers that intersect with chemistry in areas like forensic analysis and law enforcement support.

Best Scientists Citing Jane S. Richardson

Trending Scientists

Recently Published Articles