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Alicia Oshlack

D-Index & Metrics

Biology and Biochemistry

D-Index
65
Citations
34981
World Ranking
8922
National Ranking
232

Alicia Oshlack 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 Alicia Oshlack 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: 174 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Alicia Oshlack 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 Alicia Oshlack 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: 65 D-Index — 55th percentile

55% 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

  • 2021 - Fellow of the Australian Academy of Health and Medical Science

Overview

Alicia Oshlack is affiliated with the Peter MacCallum Cancer Centre in Australia. Their research spans several fields, primarily within Biochemistry, Genetics, and Molecular Biology, with significant contributions to Medicine. They have published extensively in subfields such as Molecular Biology, Cancer Research, Genetics, Public Health, Environmental and Occupational Health, and Pulmonary and Respiratory Medicine.

The scientist's work covers a range of topics with particular emphasis on Single-cell and spatial transcriptomics, RNA modifications and cancer, Genomics and Phylogenetic Studies, Cancer Genomics and Diagnostics, Acute Lymphoblastic Leukemia research, Epigenetics and DNA Methylation, and Genomics and Rare Diseases.

Frequent coauthors collaborating with Alicia Oshlack include Paul G. Ekert, N. Davidson, Jovana Maksimovic, Breon Schmidt, and Ian J. Majewski. Their research has appeared primarily in venues such as bioRxiv (Cold Spring Harbor Laboratory), Zenodo (CERN European Organization for Nuclear Research), Genome biology, Blood Advances, and Bioinformatics.

Recent publications include:

  • propeller: testing for differences in cell type proportions in single cell data, 2022, Bioinformatics
  • Gene set enrichment analysis for genome-wide DNA methylation data, 2021, Genome biology
  • A systematic benchmark of Nanopore long read RNA sequencing for transcript level analysis in human cell lines, 2021, bioRxiv (Cold Spring Harbor Laboratory)
  • Sierra: discovery of differential transcript usage from polyA-captured single-cell RNA-seq data, 2020, Genome biology
  • Large-scale manipulation of promoter DNA methylation reveals context-specific transcriptional responses and stability, 2022, Genome biology

Alicia Oshlack has been recognized as a Fellow of the Australian Academy of Health and Medical Science, awarded in 2021. This honor is recorded without additional citation details.

Best Publications

  • A scaling normalization method for differential expression analysis of RNA-seq data

    Mark D Robinson;Mark D Robinson;Alicia Oshlack

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

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

  • A comparison of background correction methods for two-colour microarrays

    Matthew E. Ritchie;Jeremy Silver;Alicia Oshlack;Melissa Holmes

  • From RNA-seq reads to differential expression results.

    Alicia Oshlack;Mark D Robinson;Mark D Robinson;Matthew D Young

  • SWAN: Subset-quantile within array normalization for illumina infinium HumanMethylation450 BeadChips.

    Jovana Maksimovic;Lavinia Gordon;Alicia Oshlack

  • Splatter: simulation of single-cell RNA sequencing data

    Luke Zappia;Luke Zappia;Belinda Phipson;Alicia Oshlack;Alicia Oshlack

  • Clustering trees: a visualization for evaluating clusterings at multiple resolutions

    Luke Zappia;Alicia Oshlack

  • missMethyl: an R package for analyzing data from Illumina’s HumanMethylation450 platform

    Belinda Phipson;Jovana Maksimovic;Alicia Oshlack

  • Transcript length bias in RNA-seq data confounds systems biology

    Alicia Oshlack;Matthew J Wakefield

  • Corset: enabling differential gene expression analysis for de novo assembled transcriptomes

    Nadia M Davidson;Alicia Oshlack;Alicia Oshlack

  • Expression profiling in primates reveals a rapid evolution of human transcription factors

    Yoav Gilad;Yoav Gilad;Alicia Oshlack;Gordon K. Smyth;Terence P. Speed;Terence P. Speed

  • A prospective evaluation of whole-exome sequencing as a first-tier molecular test in infants with suspected monogenic disorders

    Zornitza Stark;Tiong Y. Tan;Belinda Chong;Gemma R. Brett

  • Diagnostic Impact and Cost-effectiveness of Whole-Exome Sequencing for Ambulant Children With Suspected Monogenic Conditions

    Tiong Yang Tan;Oliver James Dillon;Zornitza Stark;Deborah Schofield;Deborah Schofield

  • ChIP-seq analysis reveals distinct H3K27me3 profiles that correlate with transcriptional activity

    Matthew D. Young;Tracy A. Willson;Matthew J. Wakefield;Evelyn Trounson

  • Disorders of sex development: insights from targeted gene sequencing of a large international patient cohort

    Stefanie Eggers;Simon Sadedin;Jocelyn A. van den Bergen;Gorjana Robevska

  • Array-Based Gene Discovery with Three Unrelated Subjects Shows SCARB2/LIMP-2 Deficiency Causes Myoclonus Epilepsy and Glomerulosclerosis

    Samuel F Berkovic;Samuel F Berkovic;Leanne M Dibbens;Leanne M Dibbens;Alicia Oshlack;Jeremy D Silver;Jeremy D Silver

  • Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database.

    Luke Zappia;Belinda Phipson;Alicia Oshlack

  • Natural selection on gene expression.

    Yoav Gilad;Alicia Oshlack;Scott A. Rifkin

  • Corset: enabling differential gene expression analysis for

    Nadia M Davidson;Alicia Oshlack

  • Patient safety in genomic medicine: an exploratory study.

    Diane M. Korngiebel;Stephanie M. Fullerton;Wylie Burke

Frequent Co-Authors

Gordon K. Smyth
Gordon K. Smyth Walter and Eliza Hall Institute of Medical Research
Edouard G. Stanley
Edouard G. Stanley University of Melbourne
Melissa H. Little
Melissa H. Little Murdoch Children's Research Institute
Andrew H. Sinclair
Andrew H. Sinclair University of Melbourne
Paul G Ekert
Paul G Ekert University of New South Wales
Andrew G. Elefanty
Andrew G. Elefanty University of Melbourne
Marnie E. Blewitt
Marnie E. Blewitt Walter and Eliza Hall Institute of Medical Research
Zornitza Stark
Zornitza Stark University of Melbourne
Craig A. Smith
Craig A. Smith Monash University
Mark D. Robinson
Mark D. Robinson University of Zurich

External Links

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Best Scientists Citing Alicia Oshlack

Gordon K. Smyth

Gordon K. Smyth

Walter and Eliza Hall Institute of Medical Research

Publications: 133

Matthew E. Ritchie

Matthew E. Ritchie

Walter and Eliza Hall Institute of Medical Research

Publications: 80

Richard Saffery

Richard Saffery

University of Melbourne

Publications: 53

Yoav Gilad

Yoav Gilad

University of Chicago

Publications: 50

Graham G. Giles

Graham G. Giles

University of Melbourne

Publications: 50

Mark D. Robinson

Mark D. Robinson

University of Zurich

Publications: 48

Melissa C. Southey

Melissa C. Southey

Monash University

Publications: 45

John C. Marioni

John C. Marioni

European Bioinformatics Institute

Publications: 45

Roger L. Milne

Roger L. Milne

Cancer Council Victoria

Publications: 37

Andrew H. Sinclair

Andrew H. Sinclair

University of Melbourne

Publications: 36

Michael S. Kobor

Michael S. Kobor

University of British Columbia

Publications: 32

John L. Hopper

John L. Hopper

University of Melbourne

Publications: 31

Melanie Bahlo

Melanie Bahlo

Walter and Eliza Hall Institute of Medical Research

Publications: 30

Jeffrey M. Craig

Jeffrey M. Craig

Deakin University

Publications: 29

Caroline L. Relton

Caroline L. Relton

University of Bristol

Publications: 28

Geoffrey J. Lindeman

Geoffrey J. Lindeman

Peter MacCallum Cancer Centre

Publications: 28

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