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Rafael A. Irizarry

Rafael A. Irizarry

Harvard University
United States

D-Index & Metrics

Biology and Biochemistry

D-Index
104
Citations
126296
World Ranking
1224
National Ranking
724

Rafael A. Irizarry 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 Rafael A. Irizarry 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: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 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: 418 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: 197 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: 60 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: 248 publications — 67th percentile

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

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

Rafael A. Irizarry 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 Rafael A. Irizarry sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 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: 72 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: 104 D-Index — 94th percentile

94% 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

  • 2020 - Fellow of the International Society for Computational Biology
  • 2009 - COPSS Presidents' Award For his wide-ranging and highly influential contributions to the theory and methodology of statistical science that underpins the analysis of time series and genomic data; for demonstrating the essential role of statistics to the advancement of modern genomic science and biotechnology; for advancing statistical practice through publication of open-source software and participation in the core development group of Bioconductor; for his leadership of multidisciplinary scientific teams; and for his outstanding contributions to statistics as an editorial board member and mentor of students and post-doctoral fellows.
  • 2009 - Fellow of the American Statistical Association (ASA)

Overview

Rafael A. Irizarry is affiliated with Harvard University in the United States and focuses primarily on research in biochemistry, genetics, and molecular biology. Their work spans various subfields including molecular biology, immunology, cancer research, oncology, and modeling and simulation.

Their research covers topics such as single-cell and spatial transcriptomics, gene expression and cancer classification, gut microbiota and health, cancer genomics and diagnostics, COVID-19 epidemiological studies, climate change and health impacts, and epigenetics and DNA methylation.

Among their recent papers are:

  • Robust decomposition of cell type mixtures in spatial transcriptomics, 2021, Nature Biotechnology
  • Excess deaths associated with covid-19 pandemic in 2020: age and sex disaggregated time series analysis in 29 high income countries, 2021, BMJ
  • Progressive immune dysfunction with advancing disease stage in renal cell carcinoma, 2021, Cancer Cell
  • Detection of renal cell carcinoma using plasma and urine cell-free DNA methylomes, 2020, Nature Medicine
  • Large-Scale Topological Changes Restrain Malignant Progression in Colorectal Cancer, 2020, Cell

Frequently co-authoring with Rafael A. Irizarry are Isabella N. Grabski, Dylan Cable, Fei Chen, Rolando J. Acosta, and Evan Murray.

Their publications are often featured in venues such as bioRxiv (Cold Spring Harbor Laboratory), Genome Biology, Biostatistics, Nature Medicine, and Cell.

Rafael's work has been recognized with several awards, including the COPSS Presidents' Award in 2009, which noted their influential contributions to statistical science related to genomic data and their role in open-source software development and multidisciplinary scientific leadership.

They were also named a Fellow of the American Statistical Association and a Fellow of the International Society for Computational Biology in 2009 and 2020, respectively.

Best Publications

  • Bioconductor: open software development for computational biology and bioinformatics

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

  • Salmon provides fast and bias-aware quantification of transcript expression

    Rob Patro;Geet Duggal;Michael I Love;Rafael A Irizarry

  • Exploration, normalization, and summaries of high density oligonucleotide array probe level data

    Rafael A. Irizarry;Bridget Hobbs;Francois Collin;Yasmin D. Beazer-Barclay

  • A comparison of normalization methods for high density oligonucleotide array data based on variance and bias

    Benjamin M. Bolstad;Rafael A. Irizarry;Magnus Åstrand;Terence P. Speed;Terence P. Speed

  • Summaries of Affymetrix GeneChip probe level data

    Rafael A. Irizarry;Benjamin M. Bolstad;Francois Collin;Leslie M. Cope

  • affy---analysis of Affymetrix GeneChip data at the probe level

    Laurent Gautier;Leslie Cope;Benjamin M. Bolstad;Rafael A. Irizarry

  • Minfi: A flexible and comprehensive Bioconductor package for the analysis of Infinium DNA Methylation microarrays

    Martin J. Aryee;Andrew E. Jaffe;Hector Corrada-Bravo;Christine Ladd-Acosta

  • Orchestrating high-throughput genomic analysis with Bioconductor

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

  • Epigenetic memory in induced pluripotent stem cells

    K. Kim;A. Doi;B. Wen;K. Ng

  • The human colon cancer methylome shows similar hypo- and hypermethylation at conserved tissue-specific CpG island shores.

    Rafael A. Irizarry;Christine Ladd-Acosta;Bo Wen;Zhijin Wu

  • Tackling the widespread and critical impact of batch effects in high-throughput data

    Jeffrey T. Leek;Robert B. Scharpf;Héctor Corrada Bravo;Héctor Corrada Bravo;David Simcha

  • A Model-Based Background Adjustment for Oligonucleotide Expression Arrays

    Zhijin Wu;Rafael A. Irizarry;Robert C Gentleman;Francisco Martinez-Murillo

  • MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens.

    Wei Li;Han Xu;Tengfei Xiao;Le Cong;Le Cong

  • A framework for oligonucleotide microarray preprocessing

    Benilton S. Carvalho;Rafael A. Irizarry

  • Differential methylation of tissue- and cancer-specific CpG island shores distinguishes human induced pluripotent stem cells, embryonic stem cells and fibroblasts.

    Akiko Doi;In Hyun Park;Bo Wen;Peter Murakami

  • The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

    Leming Shi;Gregory Campbell;Wendell D. Jones;Fabien Campagne

  • Increased methylation variation in epigenetic domains across cancer types

    Kasper Daniel Hansen;Winston Timp;Winston Timp;Héctor Corrada Bravo;Héctor Corrada Bravo;Sarven Sabunciyan

  • Multiple-laboratory comparison of microarray platforms

    Rafael A Irizarry;Daniel Warren;Forrest Spencer;Irene F Kim

  • Accounting for cellular heterogeneity is critical in epigenome-wide association studies

    Andrew E Jaffe;Rafael A Irizarry

  • Meta-analysis of gut microbiome studies identifies disease-specific and shared responses.

    Claire Duvallet;Sean M. Gibbons;Sean M. Gibbons;Thomas Gurry;Thomas Gurry;Rafael A. Irizarry

Frequent Co-Authors

Andrew P. Feinberg
Andrew P. Feinberg Johns Hopkins University
Martin J. Aryee
Martin J. Aryee Harvard University
Kasper D. Hansen
Kasper D. Hansen Johns Hopkins University
Terence P. Speed
Terence P. Speed Walter and Eliza Hall Institute of Medical Research
Andrew E. Jaffe
Andrew E. Jaffe Johns Hopkins University
John Quackenbush
John Quackenbush Harvard University
Jef D. Boeke
Jef D. Boeke New York University
Leslie Cope
Leslie Cope Johns Hopkins University School of Medicine
Jeffrey T. Leek
Jeffrey T. Leek Fred Hutchinson Cancer Research Center
Robert Gentleman
Robert Gentleman Genentech

External Links

Wikipedia of Rafael A. Irizarry Personal website of Rafael A. Irizarry Google Scholar page

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Best Scientists Citing Rafael A. Irizarry

Mark D. Robinson

Mark D. Robinson

University of Zurich

Publications: 129

Gordon K. Smyth

Gordon K. Smyth

Walter and Eliza Hall Institute of Medical Research

Publications: 128

Paul C. Boutros

Paul C. Boutros

University of California, Los Angeles

Publications: 126

Manel Esteller

Manel Esteller

Josep Carreras Leukaemia Research Institute

Publications: 107

Andrew E. Teschendorff

Andrew E. Teschendorff

University College London

Publications: 100

Michael S. Kobor

Michael S. Kobor

University of British Columbia

Publications: 100

Terence P. Speed

Terence P. Speed

Walter and Eliza Hall Institute of Medical Research

Publications: 98

Stephan Beck

Stephan Beck

University College London

Publications: 97

Jonathan Mill

Jonathan Mill

University of Exeter

Publications: 96

Alexander Meissner

Alexander Meissner

Max Planck Institute for Molecular Genetics

Publications: 93

Caroline L. Relton

Caroline L. Relton

University of Bristol

Publications: 92

Daehee Hwang

Daehee Hwang

Seoul National University

Publications: 89

Andrea Baccarelli

Andrea Baccarelli

Columbia University

Publications: 89

Adi L. Tarca

Adi L. Tarca

National Institutes of Health

Publications: 88

Benjamin Haibe-Kains

Benjamin Haibe-Kains

Princess Margaret Cancer Centre

Publications: 88

Wolfgang Huber

Wolfgang Huber

European Bioinformatics Institute

Publications: 86

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