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D-Index & Metrics

Genetics

D-Index
74
Citations
23268
World Ranking
1957
National Ranking
898

Robin R. Gutell publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Robin R. Gutell sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 146 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Robin R. Gutell D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Robin R. Gutell sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 74 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Overview

Robin R. Gutell is affiliated with The University of Texas at Austin in the United States. Their research contributions focus primarily within the fields of Biochemistry, Genetics, and Molecular Biology, with a particular emphasis on Molecular Biology as a subfield. The scientist's work spans closely related topics, including RNA and protein synthesis mechanisms, RNA modifications and cancer, genomics and phylogenetic studies, and RNA research and splicing.

The recent publications by Robin R. Gutell highlight research in RNA secondary structure, ribosomal RNA, and computational frameworks for RNA visualization. Notable papers include:

  • "RNAcentral 2021: secondary structure integration, improved sequence search and new member databases" (2020), published in Nucleic Acids Research
  • "R2DT is a framework for predicting and visualising RNA secondary structure using templates" (2021), published in Nature Communications
  • "Supersized Ribosomal RNA Expansion Segments in Asgard Archaea" (2020), published in Genome Biology and Evolution
  • "The universally conserved nucleotides of the small subunit ribosomal RNAs" (2022), published in RNA
  • "R2DT: computational framework for template-based RNA secondary structure visualisation across non-coding RNA types" (2020), published in bioRxiv (Cold Spring Harbor Laboratory)

Robin R. Gutell has published frequently in specific academic venues, including:

  • Nucleic Acids Research
  • RNA
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Genome Biology and Evolution

Collaborations have played a part in their research output, with frequent coauthors comprising Anton S. Petrov, Blake Sweeney, Anton I. Petrov, Carlos Eduardo Ribas, and Robert Finn.

Best Publications

  • The Comparative RNA Web (CRW) Site: an online database of comparative sequence and structure information for ribosomal, intron, and other RNAs

    Jamie J. Cannone;Sankar Subramanian;Sankar Subramanian;Murray N. Schnare;James R. Collett

  • Insights into social insects from the genome of the honeybee Apis mellifera

    George M. Weinstock;Gene E. Robinson;Richard A. Gibbs;Kim C. Worley

  • Lessons from an evolving rRNA: 16S and 23S rRNA structures from a comparative perspective.

    Robin Gutell;Niels Larsen;Carl R. Woese

  • Detailed analysis of the higher-order structure of 16S-like ribosomal ribonucleic acids.

    C. R. Woese;R. Gutell;Ramesh Gupta;H. F. Noller

  • Comparative Anatomy of 16-S-like Ribosomal RNA

    Robin R. Gutell;Bryn Weiser;Carl R. Woese;Harry F. Noller

  • Architecture of ribosomal RNA: Constraints on the sequence of tetra-loops

    C R Woese;S Winker;R R Gutell

  • RNAMotif, an RNA secondary structure definition and search algorithm

    Thomas J. Macke;David J. Ecker;Robin R. Gutell;Daniel Gautheret

  • Construction and fine mapping of recombinant plasmids containing the rrnB ribosomal RNA operon of E. coli.

    Jürgen Brosius;Axel Ullrich;Mary Alice Raker;Alane Gray

  • Collection of small subunit (16S- and 16S-like) ribosomal RNA structures: 1994

    Robin Ray Gutell

  • A compilation of large subunit (23S and 23S-like) ribosomal RNA structures: 1993.

    Robin Ray Gutell;Michael W. Gray;Murray N. Schnare

  • Secondary structure model for 23S ribosomal RNA.

    Harry F. Noller;JoAnn Kop;Virginia Wheaton;Jürgen Brosius

  • The nucleotide sequence of a rat 18 S ribosomal ribonucleic acid gene and a proposal for the secondary structure of 18 S ribosomal ribonucleic acid.

    Y L Chan;R Gutell;H F Noller;I G Wool

  • A compilation of large subunit RNA sequences presented in a structural format.

    Robin R. Gutell;George E. Fox

  • Secondary structure model for bacterial 16S ribosomal RNA: phylogenetic, enzymatic and chemical evidence

    C. R. Woese;L. J. Magrum;R. Gupta;R. B. Siegel

  • The accuracy of ribosomal RNA comparative structure models.

    Robin R Gutell;Jung C Lee;Jamie J Cannone

  • Characteristics of the nuclear (18S, 5.8S, 28S and 5S) and mitochondrial (12S and 16S) rRNA genes of Apis mellifera (Insecta: Hymenoptera): structure, organization, and retrotransposable elements.

    J. J. Gillespie;J. S. Johnston;J. J. Cannone;Robin Gutell

  • Representation of the secondary and tertiary structure of group I introns.

    Thomas R. Cech;Simon H. Damberger;Robin R. Gutell

  • Identifying constraints on the higher-order structure of RNA: continued development and application of comparative sequence analysis methods

    R. R. Gutell;A. Power;G. Z. Hertz;E. J. Putz

  • RNAcentral: a hub of information for non-coding RNA sequences

    Blake A Sweeney;Anton I Petrov;Boris Burkov

  • Evaluation of the suitability of free-energy minimization using nearest-neighbor energy parameters for RNA secondary structure prediction

    Kishore J. Doshi;Jamie J. Cannone;Christian W. Cobaugh;Robin Ray Gutell

Frequent Co-Authors

Harry F. Noller
Harry F. Noller University of California, Santa Cruz
Carl R. Woese
Carl R. Woese University of Illinois at Urbana-Champaign
Mark A. Ragan
Mark A. Ragan University of Queensland
Daniel Gautheret
Daniel Gautheret University of Paris-Saclay
Todd M. Lowe
Todd M. Lowe University of California, Santa Cruz
Sam Griffiths-Jones
Sam Griffiths-Jones University of Manchester
Loren Dean Williams
Loren Dean Williams Georgia Institute of Technology
Alex Bateman
Alex Bateman European Bioinformatics Institute
Joseph J. Gillespie
Joseph J. Gillespie University of Maryland, Baltimore
Elspeth A. Bruford
Elspeth A. Bruford University of Cambridge

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