World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
65
Citations
18821
World Ranking
2678
National Ranking
1176

Shannon K. McWeeney 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 Shannon K. McWeeney 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: 289 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Shannon K. McWeeney 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 Shannon K. McWeeney 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: 65 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Shannon K. McWeeney is affiliated with Oregon Health & Science University in the United States. Their research spans primarily in the fields of Medicine and Biochemistry, Genetics, and Molecular Biology, with a significant focus on Molecular Biology, Hematology, Immunology, Infectious Diseases, and Genetics as subfields of study.

The main topics of McWeeney's work include:

  • Acute Myeloid Leukemia Research
  • Protein Degradation and Inhibitors
  • Chronic Myeloid Leukemia Treatments
  • Cancer Genomics and Diagnostics
  • Chronic Lymphocytic Leukemia Research
  • Histone Deacetylase Inhibitors Research
  • Immune Cell Function and Interaction

Their recent scientific publications illustrate a strong emphasis on leukemia and immune system function. Selected papers include:

  • "Reporting guidelines for human microbiome research: the STORMS checklist," 2021, Nature Medicine
  • "Integrative analysis of drug response and clinical outcome in acute myeloid leukemia," 2022, Cancer Cell
  • "Integrated analysis of patient samples identifies biomarkers for venetoclax efficacy and combination strategies in acute myeloid leukemia," 2020, Nature Cancer
  • "The AML microenvironment catalyzes a stepwise evolution to gilteritinib resistance," 2021, Cancer Cell
  • "Reversible suppression of T cell function in the bone marrow microenvironment of acute myeloid leukemia," 2020, Proceedings of the National Academy of Sciences

Frequent collaboration is a notable aspect of McWeeney's scholarly work. The scientist has closely worked with:

  • Daniel Bottomly
  • Jeffrey Tyner
  • Brian Druker
  • Sophia Jeng
  • Stephen E. Kurtz

Their publications appear regularly in journals and platforms including:

  • Blood
  • UNC Libraries
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cancer Research
  • Blood Cancer Discovery

McWeeney's research contributes to advancing understanding in acute myeloid leukemia mechanisms, treatment responses, and the tumor microenvironment. Their work also extends into protein degradation pathways and immune cell interactions related to cancer and other diseases within the scope of molecular biology and hematology.

Best Publications

  • Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study.

    Nicole M. Kuderer;Toni K. Choueiri;Dimpy P. Shah;Yu Shyr

  • Functional genomic landscape of acute myeloid leukaemia

    Jeffrey W. Tyner;Cristina E. Tognon;Cristina E. Tognon;Daniel Bottomly;Beth Wilmot

  • Defining the CREB Regulon: A Genome-Wide Analysis of Transcription Factor Regulatory Regions

    Soren Impey;Sean R. McCorkle;Hyunjoo Cha-Molstad;Jami M. Dwyer

  • The BioPAX community standard for pathway data sharing

    Emek Demir;Emek Demir;Michael P. Cary;Suzanne Paley;Ken Fukuda

  • The genome architecture of the collaborative cross mouse genetic reference population

    Fuad A. Iraqi;Mustafa Mahajne;Yasser Salaymah;Hani Sandovski

  • Oncogenic CSF3R Mutations in Chronic Neutrophilic Leukemia and Atypical CML

    Julia E. Maxson;Jason Gotlib;Daniel A. Pollyea;Angela G. Fleischman

  • MIFlowCyt: the minimum information about a Flow Cytometry Experiment.

    Jamie A. Lee;Josef Spidlen;Keith Boyce;Jennifer Cai

  • Gene expression profiles of transcripts in amyloid precursor protein transgenic mice: up-regulation of mitochondrial metabolism and apoptotic genes is an early cellular change in Alzheimer's disease

    P. Hemachandra Reddy;Shannon McWeeney;Byung S. Park;Maria Manczak

  • Reporting guidelines for human microbiome research: the STORMS checklist

    Chloe Mirzayi;Audrey Renson;Massive Analysis

  • High-sensitivity detection of BCR-ABL kinase domain mutations in imatinib-naive patients: correlation with clonal cytogenetic evolution but not response to therapy.

    Stephanie G. Willis;Thoralf Lange;Thoralf Lange;Thoralf Lange;Shadmehr Demehri;Shadmehr Demehri;Shadmehr Demehri;Sandra Otto;Sandra Otto;Sandra Otto

  • Controlling for Contaminants in Low-Biomass 16S rRNA Gene Sequencing Experiments.

    Lisa Karstens;Mark Asquith;Sean Davin;Damien Fair

  • Does the Urinary Microbiome Play a Role in Urgency Urinary Incontinence and Its Severity

    Lisa Karstens;Mark Asquith;Sean Davin;Patrick Stauffer

  • The TP53 Apoptotic Network Is a Primary Mediator of Resistance to BCL2 Inhibition in AML Cells

    Tamilla Nechiporuk;Stephen E. Kurtz;Olga Nikolova;Tingting Liu

  • Evaluating Gene Expression in C57BL/6J and DBA/2J Mouse Striatum Using RNA-Seq and Microarrays

    Daniel Bottomly;Nicole A. R. Walter;Nicole A. R. Walter;Jessica Ezzell Hunter;Priscila Darakjian

  • Mechanisms of Severe Acute Respiratory Syndrome Coronavirus-Induced Acute Lung Injury

    Lisa E. Gralinski;Armand Bankhead;Sophia Jeng;Vineet D. Menachery

  • A Viral microRNA Down-Regulates Multiple Cell Cycle Genes through mRNA 5′UTRs

    Finn Grey;Rebecca Tirabassi;Heather Meyers;Guanming Wu

  • Cancer stem cell tumor model reveals invasive morphology and increased phenotypical heterogeneity

    Andrea Sottoriva;Joost J.C. Verhoeff;Tijana Borovski;Shannon K. McWeeney

  • Modeling host genetic regulation of influenza pathogenesis in the collaborative cross.

    Martin T. Ferris;David L. Aylor;Daniel Bottomly;Alan C. Whitmore

  • Identification of Interleukin-1 by Functional Screening as a Key Mediator of Cellular Expansion and Disease Progression in Acute Myeloid Leukemia

    Alyssa Carey;David K. Edwards;Christopher A. Eide;Christopher A. Eide;Laura Newell

  • The Plasmodium genome database

    Jessica C. Kissinger;Brian P. Brunk;Jonathan Crabtree;Martin J. Fraunholz

Frequent Co-Authors

Brian J. Druker
Brian J. Druker Oregon Health & Science University
John K. Belknap
John K. Belknap Oregon Health & Science University
Ralph S. Baric
Ralph S. Baric University of North Carolina at Chapel Hill
Michael W. Deininger
Michael W. Deininger University of Utah
Vineet D. Menachery
Vineet D. Menachery The University of Texas Medical Branch at Galveston
Lisa E. Gralinski
Lisa E. Gralinski University of North Carolina at Chapel Hill
Fernando Pardo-Manuel de Villena
Fernando Pardo-Manuel de Villena University of North Carolina at Chapel Hill
John C. Crabbe
John C. Crabbe Oregon Health & Science University
Alexandra Schäfer
Alexandra Schäfer Duke University
Katrina M. Waters
Katrina M. Waters Pacific Northwest National Laboratory

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Related Online Degrees & Career Pathways

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These diverse pathways can complement a focus in Genetics and open doors to a variety of rewarding healthcare and research careers.

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