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Gordon K. Smyth
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Biology and Biochemistry
Australia
2023

D-Index & Metrics

Biology and Biochemistry

D-Index
115
Citations
238256
World Ranking
771
National Ranking
19

Gordon K. Smyth publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Gordon K. Smyth sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 413 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 848 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 949 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 840 scientists 207–216 publications: 733 scientists 217–226 publications: 708 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 417 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 196 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 59 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 398 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Gordon K. Smyth D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Gordon K. Smyth sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 316 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 899 scientists 52–53 D-Index: 1,025 scientists 54–55 D-Index: 1,149 scientists 56–57 D-Index: 1,235 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,162 scientists 62–63 D-Index: 1,130 scientists 64–65 D-Index: 1,031 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 714 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 71 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 115 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Research.com Recognitions

  • 2023 - Research.com Biology and Biochemistry in Australia Leader Award

Overview

Gordon K. Smyth is affiliated with the Walter and Eliza Hall Institute of Medical Research in Australia. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology, with a significant focus also on Medicine. Smyth's work is concentrated in several subfields, including Molecular Biology, Immunology, Cancer Research, Genetics, and Oncology.

The scientist's research topics cover a broad range within molecular biology and cancer studies. These include:

  • Genomics and Chromatin Dynamics
  • Gene expression and cancer classification
  • Epigenetics and DNA Methylation
  • Single-cell and spatial transcriptomics
  • T-cell and B-cell Immunology
  • Cancer-related molecular mechanisms research
  • RNA modifications and cancer

Their publication record includes contributions to major venues such as bioRxiv (Cold Spring Harbor Laboratory), Nature Communications, European Urology Open Science, Cell Reports, and The EMBO Journal. These journals reflect a consistent focus on molecular and cellular biology, as well as cancer research.

Selected recent papers showcasing their work include:

  • A single-cell RNA expression atlas of normal, preneoplastic and tumorigenic states in the human breast, 2021, The EMBO Journal
  • edgeR v4: powerful differential analysis of sequencing data with expanded functionality and improved support for small counts and larger datasets, 2025, Nucleic Acids Research
  • Tissue-resident ductal macrophages survey the mammary epithelium and facilitate tissue remodelling, 2020, Nature Cell Biology
  • Targeting histone acetylation dynamics and oncogenic transcription by catalytic P300/CBP inhibition, 2021, Molecular Cell
  • edgeR v4: powerful differential analysis of sequencing data with expanded functionality and improved support for small counts and larger datasets, 2024, bioRxiv (Cold Spring Harbor Laboratory)

Frequent collaborators include Yunshun Chen, Alexandra L. Garnham, Jane E. Visvader, Hannah D. Coughlan, and Rhys S. Allan. These coauthors have contributed extensively alongside Smyth in various research projects and publications.

Best Publications

  • edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

    Mark D. Robinson;Davis J. McCarthy;Gordon K. Smyth

  • limma powers differential expression analyses for RNA-sequencing and microarray studies

    Matthew E. Ritchie;Belinda Phipson;Di Wu;Yifang Hu

  • featureCounts: an efficient general-purpose program for assigning sequence reads to genomic features

    Yang Liao;Gordon K. Smyth;Wei Shi

  • Bioconductor: open software development for computational biology and bioinformatics

    Robert C Gentleman;Vincent J Carey;Douglas M. Bates;B.M. Bolstad

  • Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments

    Gordon K Smyth

  • limma: Linear Models for Microarray Data

    G. K. Smyth

  • Gene ontology analysis for RNA-seq: accounting for selection bias

    Matthew D Young;Matthew J Wakefield;Gordon K Smyth;Alicia Oshlack

  • voom: precision weights unlock linear model analysis tools for RNA-seq read counts

    Charity W Law;Charity W Law;Yunshun Chen;Yunshun Chen;Wei Shi;Wei Shi;Gordon K Smyth;Gordon K Smyth

  • Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation

    Davis J. McCarthy;Yunshun Chen;Gordon K. Smyth

  • Orchestrating high-throughput genomic analysis with Bioconductor

    Wolfgang Huber;Vincent J Carey;Robert Gentleman;Simon Anders

  • The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote

    Yang Liao;Gordon K. Smyth;Wei Shi

  • Generation of a functional mammary gland from a single stem cell

    Mark Shackleton;Mark Shackleton;Francois Vaillant;Francois Vaillant;Kaylene J. Simpson;Kaylene J. Simpson;John Stingl

  • Normalization of cDNA microarray data.

    Gordon K Smyth;Terry Speed;Terry Speed

  • The R package Rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads.

    Yang Liao;Yang Liao;Gordon K Smyth;Gordon K Smyth;Wei Shi;Wei Shi

  • ELDA: extreme limiting dilution analysis for comparing depleted and enriched populations in stem cell and other assays.

    Yifang Hu;Gordon K. Smyth

  • Aberrant luminal progenitors as the candidate target population for basal tumor development in BRCA1 mutation carriers

    Elgene Lim;Elgene Lim;Francois Vaillant;Di Wu;Di Wu;Natasha C Forrest

  • Use of within-array replicate spots for assessing differential expression in microarray experiments

    Gordon K. Smyth;Joëlle Michaud;Hamish S. Scott

  • Count-based differential expression analysis of RNA sequencing data using R and Bioconductor

    Simon Anders;Davis J McCarthy;Davis J McCarthy;Yunshun Chen;Yunshun Chen;Michal Okoniewski

  • Small-sample estimation of negative binomial dispersion, with applications to SAGE data

    Mark D. Robinson;Gordon K. Smyth

  • Randomized Quantile Residuals

    Peter K. Dunn;Gordon K. Smyth

Frequent Co-Authors

Wei Shi
Wei Shi Monash University
Jane E. Visvader
Jane E. Visvader Walter and Eliza Hall Institute of Medical Research
Geoffrey J. Lindeman
Geoffrey J. Lindeman Peter MacCallum Cancer Centre
François Vaillant
François Vaillant Walter and Eliza Hall Institute of Medical Research
Matthew E. Ritchie
Matthew E. Ritchie Walter and Eliza Hall Institute of Medical Research
Stephen L. Nutt
Stephen L. Nutt Walter and Eliza Hall Institute of Medical Research
Gabrielle T. Belz
Gabrielle T. Belz University of Queensland
Warren S. Alexander
Warren S. Alexander Walter and Eliza Hall Institute of Medical Research
Axel Kallies
Axel Kallies University of Melbourne
Andreas Strasser
Andreas Strasser Walter and Eliza Hall Institute of Medical Research

External Links

Personal website of Gordon K. Smyth Google Scholar page

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Best Scientists Citing Gordon K. Smyth

John C. Marioni

John C. Marioni

European Bioinformatics Institute

Publications: 170

Mark D. Robinson

Mark D. Robinson

University of Zurich

Publications: 157

Andreas Strasser

Andreas Strasser

Walter and Eliza Hall Institute of Medical Research

Publications: 119

Matthew E. Ritchie

Matthew E. Ritchie

Walter and Eliza Hall Institute of Medical Research

Publications: 113

Stephen L. Nutt

Stephen L. Nutt

Walter and Eliza Hall Institute of Medical Research

Publications: 107

Jane E. Visvader

Jane E. Visvader

Walter and Eliza Hall Institute of Medical Research

Publications: 103

Gabrielle T. Belz

Gabrielle T. Belz

University of Queensland

Publications: 103

Paul C. Boutros

Paul C. Boutros

University of California, Los Angeles

Publications: 102

Geoffrey J. Lindeman

Geoffrey J. Lindeman

Peter MacCallum Cancer Centre

Publications: 98

Ricky W. Johnstone

Ricky W. Johnstone

Peter MacCallum Cancer Centre

Publications: 97

Jens Nielsen

Jens Nielsen

Chalmers University of Technology

Publications: 93

Adi L. Tarca

Adi L. Tarca

National Institutes of Health

Publications: 90

Aviv Regev

Aviv Regev

Genentech

Publications: 88

Daniel H. Geschwind

Daniel H. Geschwind

University of California, Los Angeles

Publications: 87

Sarah A. Teichmann

Sarah A. Teichmann

University of Cambridge

Publications: 86

Terence P. Speed

Terence P. Speed

Walter and Eliza Hall Institute of Medical Research

Publications: 86

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