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Genetics
USA
2026
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Genetics and Molecular Biology
USA
2024

D-Index & Metrics

Genetics

D-Index
155
Citations
135208
World Ranking
114
National Ranking
58

Medicine

D-Index
155
Citations
135791
World Ranking
930
National Ranking
529

Joe W. Gray 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 Joe W. Gray 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: 786 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Joe W. Gray 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 Joe W. Gray 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: 155 D-Index — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Genetics in United States Leader Award
  • 2025 - Research.com Genetics in United States Leader Award
  • 2024 - Research.com Genetics in United States Leader Award
  • 2024 - Research.com Genetics and Molecular Biology in United States Leader Award
  • 2023 - Research.com Genetics in United States Leader Award
  • 2011 - Member of the National Academy of Medicine (NAM)
  • 2001 - Curt Stern Award, American Society of Human Genetics
  • 1996 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Joe W. Gray is affiliated with Oregon Health & Science University in the United States. Their research spans numerous aspects of biochemistry, genetics, molecular biology, and medicine, with a strong focus on molecular biology and oncology as principal subfields.

Their work involves several specialized areas including:

  • Single-cell and spatial transcriptomics
  • Cell image analysis techniques
  • Cancer genomics and diagnostics
  • AI in cancer detection
  • Cancer immunotherapy and biomarkers
  • Radiomics and machine learning in medical imaging
  • Advanced breast cancer therapies

Gray has contributed extensively to academic journals across diverse venues. The most frequent publication outlets include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cancer Research
  • UNC Libraries
  • Scientific Reports
  • Microscopy and Microanalysis

Among their recent scientific papers are:

  • "The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution," 2020, Cell
  • "How Machine Learning Will Transform Biomedicine," 2020, Cell
  • "Development of a nanoparticle-based immunotherapy targeting PD-L1 and PLK1 for lung cancer treatment," 2022, Nature Communications
  • "In Situ Tumor Vaccination with Nanoparticle Co-Delivering CpG and STAT3 siRNA to Effectively Induce Whole-Body Antitumor Immune Response," 2021, Advanced Materials
  • "Relevance of circulating hybrid cells as a non-invasive biomarker for myriad solid tumors," 2021, Scientific Reports

Frequent collaborators in their research include:

  • Gordon B. Mills
  • Young Hwan Chang
  • Koei Chin
  • Guillaume Thibault
  • Laura M. Heiser

Joe W. Gray has been recognized with several awards, among them:

  • Member of the National Academy of Medicine (NAM), 2011
  • Curt Stern Award, American Society of Human Genetics, 2001
  • Fellow of the American Association for the Advancement of Science (AAAS), 1996

Best Publications

  • Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1

    Roel G. W. Verhaak;Katherine A. Hoadley;Elizabeth Purdom;Victoria Wang

  • Integrated genomic analyses of ovarian carcinoma

    D. Bell;A. Berchuck;M. Birrer;J. Chien

  • Comprehensive genomic characterization defines human glioblastoma genes and core pathways

    Roger McLendon;Allan Friedman;Darrell Bigner;Erwin G. Van Meir

  • The consensus molecular subtypes of colorectal cancer

    Justin Guinney;Rodrigo Dienstmann;Rodrigo Dienstmann;Xingwu Wang;Xingwu Wang;Aurélien De Reyniès

  • Comparative Genomic Hybridization for Molecular Cytogenetic Analysis of Solid Tumors

    Anne Kallioniemi;Olli P. Kallioniemi;Damir Sudar;Denis Rutovitz

  • Cytogenetic analysis using quantitative, high-sensitivity, fluorescence hybridization.

    D Pinkel;T Straume;J W Gray

  • A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes

    Richard M. Neve;Richard M. Neve;Koei Chin;Jane Fridlyand;Jennifer Yeh

  • High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays

    Daniel Pinkel;Daniel Pinkel;Richard Segraves;Damir Sudar;Steven Clark

  • Induction of tumors in mice by genomic hypomethylation.

    François Gaudet;J. Graeme Hodgson;Amir Eden;Laurie Jackson-Grusby

  • Subtypes of pancreatic ductal adenocarcinoma and their differing responses to therapy.

    Eric A Collisson;Anguraj Sadanandam;Anguraj Sadanandam;Peter Olson;Peter Olson;William J Gibb;William J Gibb

  • Fluorescence in situ hybridization with human chromosome-specific libraries: detection of trisomy 21 and translocations of chromosome 4.

    D Pinkel;J Landegent;C Collins;J Fuscoe

  • Tumour amplified kinase STK15 / BTAK induces centrosome amplification, aneuploidy and transformation

    Hongyi Zhou;Jian Kuang;Ling Zhong;Wen Lin Kuo

  • Genomic and transcriptional aberrations linked to breast cancer pathophysiologies.

    Koei Chin;Sandy DeVries;Jane Fridlyand;Paul T. Spellman

  • PIK3CA is implicated as an oncogene in ovarian cancer

    Laleh Shayesteh;Yiling Lu;Wen Lin Kuo;Russell Baldocchi

  • Flow cytometric measurement of total DNA content and incorporated bromodeoxyuridine.

    F Dolbeare;H Gratzner;M G Pallavicini;J W Gray

  • Assembly of microarrays for genome-wide measurement of DNA copy number.

    Antoine M. Snijders;Norma Nowak;Richard Segraves;Stephanie Blackwood

  • Optimizing comparative genomic hybridization for analysis of DNA sequence copy number changes in solid tumors.

    Olli‐P ‐P Kallioniemi;Anne Kallioniemi;Jim Piper;Jorma Isola

  • An integrative genomic and proteomic analysis of PIK3CA, PTEN, and AKT mutations in breast cancer.

    Katherine Stemke-Hale;Ana Maria Gonzalez-Angulo;Ana Lluch;Richard M. Neve

  • The morphologies of breast cancer cell lines in three-dimensional assays correlate with their profiles of gene expression

    Paraic A. Kenny;Genee Y. Lee;Connie A. Myers;Richard M. Neve

  • Integrated genomic analyses of ovarian carcinoma

    D. Bell;A. Berchuck;M. Birrer;J. Chien

Frequent Co-Authors

Daniel Pinkel
Daniel Pinkel University of California, San Francisco
Paul T. Spellman
Paul T. Spellman Oregon Health & Science University
Gordon B. Mills
Gordon B. Mills Oregon Health & Science University
Colin Collins
Colin Collins University of British Columbia
Anne Kallioniemi
Anne Kallioniemi Tampere University
Donna G. Albertson
Donna G. Albertson New York University
Obi L. Griffith
Obi L. Griffith Washington University in St. Louis
Eric A. Collisson
Eric A. Collisson University of California, San Francisco
Dan H. Moore
Dan H. Moore University of California, San Francisco
Yiling Lu
Yiling Lu The University of Texas MD Anderson Cancer Center

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