World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
83
Citations
149738
World Ranking
2884
National Ranking
154

Randy J. Read 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 Randy J. Read 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: 316 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Randy J. Read 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 Randy J. Read 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: 83 D-Index — 84th percentile

84% 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

  • 2014 - Fellow of the Royal Society, United Kingdom

Overview

Randy J. Read is affiliated with the University of Cambridge in the United Kingdom. Their research spans a range of topics primarily in biochemistry, genetics, and molecular biology, as well as materials science.

The main fields of study for this scientist include:

  • Biochemistry, Genetics and Molecular Biology
  • Materials Science

Their subfields of study further specify an emphasis on:

  • Molecular Biology
  • Materials Chemistry
  • Structural Biology
  • Spectroscopy
  • Genetics

The main topics addressed in Randy J. Read's work are:

  • Enzyme Structure and Function
  • Protein Structure and Dynamics
  • Advanced Electron Microscopy Techniques and Applications
  • RNA and protein synthesis mechanisms
  • Machine Learning in Materials Science
  • Machine Learning in Bioinformatics
  • Advanced NMR Techniques and Applications

Some of their recent published papers include:

  • Accurate prediction of protein structures and interactions using a three-track neural network, 2021, Science
  • The CCP4 suite: integrative software for macromolecular crystallography, 2023, Acta Crystallographica Section D Structural Biology
  • Improvement of cryo-EM maps by density modification, 2020, Nature Methods
  • 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

Frequent co-authors in their research include:

  • Airlie J. McCoy
  • Thomas C. Terwilliger
  • Tristan I. Croll
  • Claudia Millán
  • Paul D. Adams

Randy J. Read often publishes in the following venues:

  • Acta Crystallographica Section D Structural Biology
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Methods
  • Proteins Structure Function and Bioinformatics
  • Acta Crystallographica Section A Foundations and Advances

In recognition of scholarly contributions, Randy J. Read was named a Fellow of the Royal Society, United Kingdom, in 2014.

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

  • Phaser crystallographic software

    Airlie J. McCoy;Ralf W. Grosse-Kunstleve;Paul D. Adams;Martyn D. Winn

  • Crystallography & NMR System: A New Software Suite for Macromolecular Structure Determination

    A.T. Brünger;A.T. Brünger;P.D. Adams;G.M. Clore;W.L. DeLano

  • Overview of the CCP4 suite and current developments.

    Martyn D. Winn;Charles C. Ballard;Kevin D Cowtan;Eleanor J. Dodson

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

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

  • Accurate prediction of protein structures and interactions using a three-track neural network

    Minkyung Baek;Frank DiMaio;Ivan Anishchenko;Justas Dauparas

  • PHENIX: building new software for automated crystallographic structure determination

    Paul D Adams;Ralf W Grosse-Kunstleve;Li Wei Hung;Thomas R Ioerger

  • Real-space refinement in PHENIX for cryo-EM and crystallography.

    Pavel V. Afonine;Pavel V. Afonine;Billy K. Poon;Randy J. Read;Oleg V. Sobolev

  • Likelihood-enhanced fast translation functions.

    Airlie J. McCoy;Ralf W. Grosse-Kunstleve;Laurent C. Storoni;Randy J. Read

  • Iterative model building, structure refinement and density modification with the PHENIX AutoBuild wizard

    Thomas C Terwilliger;Ralf W Grosse-Kunstleve;Pavel V Afonine;Nigel W Moriarty

  • Likelihood-enhanced fast rotation functions.

    Laurent C. Storoni;Airlie J. McCoy;Randy J. Read

  • Structure of a serpin–protease complex shows inhibition by deformation

    James A. Huntington;Randy J. Read;Robin W. Carrell

  • Shiga-like toxins are neutralized by tailored multivalent carbohydrate ligands

    Pavel I. Kitov;Joanna M. Sadowska;George Mulvey;Glen D. Armstrong

  • Pushing the boundaries of molecular replacement with maximum likelihood

    Randy J. Read

  • The Phenix software for automated determination of macromolecular structures.

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

  • Decision-making in structure solution using Bayesian estimates of map quality: the PHENIX AutoSol wizard

    Thomas C Terwilliger;Paul D Adams;Randy J Read;Airlie J McCoy

  • The CCP4 suite: integrative software for macromolecular crystallography

    Unknown

  • Automated Structure Solution with the PHENIX Suite

    Peter H. Zwart;Pavel V. Afonine;Ralf W. Grosse-Kunstleve;Li-Wei Hung

  • Structure of the Shiga-like Toxin I B-Pentamer Complexed with an Analogue of Its Receptor Gb3†,‡

    Hong Ling;Amechand Boodhoo;Bart Hazes;Maxwell D. Cummings

  • Cross-validated maximum likelihood enhances crystallographic simulated annealing refinement

    Paul D. Adams;Navraj S. Pannu;Randy J. Read;Axel T. Brünger

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

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

  • Accumulating evidence suggests that several AB-toxins subvert the endoplasmic reticulum-associated protein degradation pathway to enter target cells.

    Bart Hazes;Randy J. Read

  • Evolving Methods for Macromolecular Crystallography

    Randy J. Read;Joel L. Sussman

  • High-resolution structure prediction and the crystallographic phase problem

    Bin Qian;Srivatsan Raman;Rhiju Das;Philip Bradley

Frequent Co-Authors

Paul D. Adams
Paul D. Adams Lawrence Berkeley National Laboratory
Thomas C. Terwilliger
Thomas C. Terwilliger Los Alamos National Laboratory
Pavel V. Afonine
Pavel V. Afonine Lawrence Berkeley National Laboratory
Ralf W. Grosse-Kunstleve
Ralf W. Grosse-Kunstleve Lawrence Berkeley National Laboratory
Robin W. Carrell
Robin W. Carrell University of Cambridge
Axel T. Brunger
Axel T. Brunger Stanford University
Jane S. Richardson
Jane S. Richardson Duke University
Michael N. G. James
Michael N. G. James University of Alberta
David C. Richardson
David C. Richardson Duke University
David Baker
David Baker University of Washington

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

Studying Chemistry in the USA opens doors to various rewarding career paths. For those interested in healthcare and pharmaceuticals, understanding the how to become a pharmacist salary can guide your decision toward this stable and well-compensated profession. Pharmacists play a crucial role in medication management and patient care, often requiring advanced qualifications.

Alternatively, a career as a pharmaceutical sales rep blends science knowledge with communication skills. Exploring the pharmaceutical rep salary and career paths can offer insight into the potential earnings and growth opportunities in this dynamic sector.

If you're drawn to forensic science, online education options are growing rapidly. Reviewing the online colleges for forensic science can help you find affordable programs that fit your schedule and career goals.

For specialized technical roles, becoming an autopsy technician involves a unique blend of scientific knowledge and hands-on skills. Learning more about autopsy technician jobs can provide clarity on educational requirements, salary expectations, and job outlook.

By exploring these diverse pathways, Chemistry students can chart a course that aligns with their interests and professional aspirations.

Best Scientists Citing Randy J. Read

Trending Scientists

Recently Published Articles