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Ultan McDermott

D-Index & Metrics

Biology and Biochemistry

D-Index
75
Citations
54167
World Ranking
5179
National Ranking
395

Ultan McDermott 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 Ultan McDermott 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: 221 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Ultan McDermott 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 Ultan McDermott 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: 75 D-Index — 74th percentile

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

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

Overview

Ultan McDermott is a researcher affiliated with AstraZeneca in the United Kingdom, focusing primarily on the fields of Biochemistry, Genetics and Molecular Biology as well as Medicine. Their work spans molecular biology, cancer research, oncology, genetics, and computational theory and mathematics.

Their research concentrates on the following main topics:

  • Cancer Genomics and Diagnostics
  • Computational Drug Discovery Methods
  • Colorectal Cancer Treatments and Studies
  • CRISPR and Genetic Engineering
  • Lung Cancer Treatments and Mutations
  • Radiomics and Machine Learning in Medical Imaging
  • Protein Degradation and Inhibitors

McDermott has published extensively in venues including Cancer Research, bioRxiv (Cold Spring Harbor Laboratory), Science Translational Medicine, Nature Communications, and Communications Biology.

Frequent co-authors collaborating with McDermott include:

  • Matthias Pfeifer (9 publications)
  • Mathew J. Garnett (8 publications)
  • Aikaterini Chatzipli (7 publications)
  • Stacey Price (7 publications)
  • Enric Domingo (6 publications)

Some notable recent research papers authored or co-authored by McDermott are:

  • "Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning", 2020, Gut
  • "ctDNA monitoring using patient-specific sequencing and integration of variant reads", 2020, Science Translational Medicine
  • "A YAP/FOXM1 axis mediates EMT-associated EGFR inhibitor resistance and increased expression of spindle assembly checkpoint components", 2020, Science Translational Medicine
  • "Knowledge graph-based recommendation framework identifies drivers of resistance in EGFR mutant non-small cell lung cancer", 2022, Nature Communications
  • "Genome-wide CRISPR screens of oral squamous cell carcinoma reveal fitness genes in the Hippo pathway", 2020, eLife

Best Publications

  • Signatures of mutational processes in human cancer

    Ludmil B. Alexandrov;Serena Nik-Zainal;Serena Nik-Zainal;David C. Wedge;Samuel A. J. R. Aparicio

  • Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells

    Wanjuan Yang;Jorge Soares;Patricia Greninger;Elena J. Edelman

  • Pan-cancer analysis of whole genomes

    Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart

  • Systematic identification of genomic markers of drug sensitivity in cancer cells

    Mathew J. Garnett;Elena J. Edelman;Sonja J. Heidorn;Christopher Greenman;Christopher Greenman

  • A chromatin-mediated reversible drug-tolerant state in cancer cell subpopulations

    Sreenath V. Sharma;Diana Y. Lee;Bihua Li;Margaret P. Quinlan

  • COSMIC: exploring the world's knowledge of somatic mutations in human cancer

    Simon A. Forbes;David Beare;Prasad Gunasekaran;Kenric Leung

  • Prospective Derivation of a Living Organoid Biobank of Colorectal Cancer Patients

    Marc van de Wetering;Hayley E. Francies;Joshua M. Francis;Joshua M. Francis;Gergana Bounova

  • Clinical Features and Outcome of Patients With Non–Small-Cell Lung Cancer Who Harbor EML4-ALK

    Alice T. Shaw;Beow Y. Yeap;Mari Mino-Kenudson;Subba R. Digumarthy

  • A Landscape of Pharmacogenomic Interactions in Cancer

    Francesco Iorio;Francesco Iorio;Theo A. Knijnenburg;Theo A. Knijnenburg;Daniel J. Vis;Graham R. Bignell

  • The evolutionary history of lethal metastatic prostate cancer.

    Gunes Gundem;Peter Van Loo;Peter Van Loo;Peter Van Loo;Barbara Kremeyer;Ludmil B. Alexandrov

  • Patterns of somatic structural variation in human cancer genomes

    Yilong Li;Nicola D Roberts;Jeremiah A Wala;Jeremiah A Wala;Ofer Shapira;Ofer Shapira

  • A CRISPR Dropout Screen Identifies Genetic Vulnerabilities and Therapeutic Targets in Acute Myeloid Leukemia

    Konstantinos Tzelepis;Hiroko Koike-Yusa;Etienne De Braekeleer;Yilong Li

  • Targeting MYCN in Neuroblastoma by BET Bromodomain Inhibition

    Alexandre Puissant;Stacey M. Frumm;Gabriela Alexe;Christopher F. Bassil

  • Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanoma.

    Judith Müller;Oscar Krijgsman;Jennifer Tsoi;Lidia Robert

  • Elevated CRAF as a Potential Mechanism of Acquired Resistance to BRAF Inhibition in Melanoma

    Clara Montagut;Sreenath V. Sharma;Toshi Shioda;Ultan McDermott

  • Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties

    Michael P. Menden;Francesco Iorio;Francesco Iorio;Mathew Garnett;Ultan McDermott

  • Pharmacogenomic agreement between two cancer cell line data sets

    Nicolas Stransky;Mahmoud Ghandi

  • MED12 Controls the Response to Multiple Cancer Drugs through Regulation of TGF-β Receptor Signaling.

    Sidong Huang;Michael Hölzel;Theo Knijnenburg;Andreas Schlicker

  • Genomic Alterations of Anaplastic Lymphoma Kinase May Sensitize Tumors to Anaplastic Lymphoma Kinase Inhibitors

    Ultan McDermott;A. John Iafrate;Nathanael S. Gray;Toshi Shioda

  • The evolutionary history of lethal metastatic prostate cancer

    G Gundem;P Van Loo;B Kremeyer;L B Alexandrov

Frequent Co-Authors

Mathew J. Garnett
Mathew J. Garnett Wellcome Sanger Institute
Peter J. Campbell
Peter J. Campbell Wellcome Sanger Institute
Michael R. Stratton
Michael R. Stratton Wellcome Sanger Institute
Cyril H. Benes
Cyril H. Benes Harvard University
Peter Van Loo
Peter Van Loo The Francis Crick Institute
David C. Wedge
David C. Wedge University of Manchester
Graham R. Bignell
Graham R. Bignell Wellcome Sanger Institute
Julio Saez-Rodriguez
Julio Saez-Rodriguez Heidelberg University
Colin Cooper
Colin Cooper University of East Anglia
Ludmil B. Alexandrov
Ludmil B. Alexandrov University of California, San Diego

External Links

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Best Scientists Citing Ultan McDermott

Peter J. Campbell

Peter J. Campbell

Wellcome Sanger Institute

Publications: 130

Gad Getz

Gad Getz

Broad Institute

Publications: 121

Julio Saez-Rodriguez

Julio Saez-Rodriguez

Heidelberg University

Publications: 98

Charles Swanton

Charles Swanton

The Francis Crick Institute

Publications: 96

Hans Clevers

Hans Clevers

Hubrecht Institute for Developmental Biology and Stem Cell Research

Publications: 93

William C. Hahn

William C. Hahn

Dana-Farber Cancer Institute

Publications: 90

Ludmil B. Alexandrov

Ludmil B. Alexandrov

University of California, San Diego

Publications: 90

Eliezer M. Van Allen

Eliezer M. Van Allen

Harvard University

Publications: 88

Matthew Meyerson

Matthew Meyerson

Harvard University

Publications: 87

A. John Iafrate

A. John Iafrate

Harvard University

Publications: 86

Paul C. Boutros

Paul C. Boutros

University of California, Los Angeles

Publications: 84

Levi A. Garraway

Levi A. Garraway

Roche (United States)

Publications: 81

Rameen Beroukhim

Rameen Beroukhim

Harvard University

Publications: 78

Gordon B. Mills

Gordon B. Mills

Oregon Health & Science University

Publications: 76

Alice T. Shaw

Alice T. Shaw

Harvard University

Publications: 71

Pasi A. Jänne

Pasi A. Jänne

Harvard University

Publications: 69

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