World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
70
Citations
34745
World Ranking
6843
National Ranking
171

Nicola Waddell 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 Nicola Waddell 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: 404 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Nicola Waddell 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 Nicola Waddell 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: 70 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Nicola Waddell is affiliated with the QIMR Berghofer Medical Research Institute in Australia. Their research predominantly focuses on the fields of Medicine and Biochemistry, Genetics and Molecular Biology, with a substantial number of publications in these areas. Within these broad disciplines, their subfields include Molecular Biology, Oncology, Cancer Research, Genetics, and Pulmonary and Respiratory Medicine.

Their work encompasses several main topics, notably Cancer Genomics and Diagnostics, Cancer Immunotherapy and Biomarkers, Genetic Factors in Colorectal Cancer, Pancreatic and Hepatic Oncology Research, Genomics and Rare Diseases, Lung Cancer Treatments and Mutations, and Esophageal Cancer Research and Treatment.

Nicola Waddell has contributed to research published in various scientific venues. Frequently appearing publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Cancers
  • Genome Medicine
  • Nature Genetics

Among their recent papers are:

  • Patterns of somatic structural variation in human cancer genomes, 2020, Nature
  • Deep learning in cancer diagnosis, prognosis and treatment selection, 2021, Genome Medicine
  • Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing, 2020, Nature Genetics
  • Disruption of chromatin folding domains by somatic genomic rearrangements in human cancer, 2020, Nature Genetics
  • Whole-genome sequencing of acral melanoma reveals genomic complexity and diversity, 2020, Nature Communications

Nicola Waddell has collaborated frequently with several co-authors, including John V. Pearson, Lambros T. Koufariotis, Scott Wood, Felicity Newell, and Kátia Nones. The counts of collaborations indicate ongoing partnerships within their research network.

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

  • Genomic analyses identify molecular subtypes of pancreatic cancer

    Bailey P;Chang Dk;Nones K;Nones K;Johns Al

  • Pan-cancer analysis of whole genomes

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

  • Whole genomes redefine the mutational landscape of pancreatic cancer.

    Nicola Waddell;Marina Pajic;Ann Marie Patch;David K. Chang

  • Pancreatic cancer genomes reveal aberrations in axon guidance pathway genes

    Andrew V. Biankin;Andrew V. Biankin;Andrew V. Biankin;Nicola Waddell;Karin S. Kassahn;Marie Claude Gingras

  • International network of cancer genome projects

    Thomas J. Hudson;Thomas J. Hudson;Warwick Anderson;Axel Aretz;Anna D. Barker

  • Whole-genome characterization of chemoresistant ovarian cancer

    Ann-Marie Patch;Ann-Marie Patch;Elizabeth Christie;Dariush Etemadmoghadam;Dariush Etemadmoghadam;Dale W. Garsed

  • Whole-genome landscapes of major melanoma subtypes

    Nicholas K. Hayward;Nicholas K. Hayward;James S. Wilmott;Nicola Waddell;Nicola Waddell;Peter A. Johansson

  • Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer.

    Vinod P. Balachandran;Marta Łuksza;Julia N. Zhao;Vladimir Makarov

  • Whole-genome landscape of pancreatic neuroendocrine tumours

    Aldo Scarpa;David K. Chang;Katia Nones;Katia Nones;Vincenzo Corbo

  • Deep learning in cancer diagnosis, prognosis and treatment selection.

    Khoa A. Tran;Olga Kondrashova;Andrew Bradley;Elizabeth D. Williams

  • Tumor immunoevasion by the conversion of effector NK cells into type 1 innate lymphoid cells

    Yulong Gao;Yulong Gao;Fernando Souza-Fonseca-Guimaraes;Fernando Souza-Fonseca-Guimaraes;Fernando Souza-Fonseca-Guimaraes;Tobias Bald;Susanna S Ng;Susanna S Ng

  • Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing

    Isidro Cortés-Ciriano;Jake June-Koo Lee;Ruibin Xi;Dhawal Jain

  • Pan-cancer analysis of whole genomes identifies driver rearrangements promoted by LINE-1 retrotransposition.

    Bernardo Rodriguez-Martin;Bernardo Rodriguez-Martin;Eva G. Alvarez;Eva G. Alvarez;Adrian Baez-Ortega;Jorge Zamora

  • PINA v2.0: mining interactome modules

    Mark J. Cowley;Mark Pinese;Karin S. Kassahn;Nic Waddell

  • Mutational signatures in esophageal adenocarcinoma define etiologically distinct subgroups with therapeutic relevance

    Maria Secrier;Xiaodun Li;Nadeera de Silva;Matthew D Eldridge

  • A comprehensive assessment of somatic mutation detection in cancer using whole-genome sequencing

    Tyler S. Alioto;Ivo Buchhalter;Sophia Derdak;Barbara Hutter

  • RAD51 135G→C Modifies Breast Cancer Risk among BRCA2 Mutation Carriers: Results from a Combined Analysis of 19 Studies

    Antonis C. Antoniou;Olga M. Sinilnikova;Jacques Simard;Mélanie Léoné

  • Genomic catastrophes frequently arise in esophageal adenocarcinoma and drive tumorigenesis

    Katia Nones;Katia Nones;Nicola Waddell;Nicola Waddell;Nicci Wayte;Ann-Marie Patch

  • Mutational signatures in esophageal adenocarcinoma define etiologically distinct subgroups with therapeutic relevance (vol 48, pg 1131, 2016)

    Maria Secrier;Xiaodun Li;Nadeera de Silva;Matthew D Eldridge

Frequent Co-Authors

John V. Pearson
John V. Pearson QIMR Berghofer Medical Research Institute
Sean M. Grimmond
Sean M. Grimmond University of Melbourne
Andrew V. Biankin
Andrew V. Biankin University of Glasgow
Sunil R. Lakhani
Sunil R. Lakhani University of Queensland
Anthony J. Gill
Anthony J. Gill University of Sydney
Marina Pajic
Marina Pajic Garvan Institute of Medical Research
Richard A. Scolyer
Richard A. Scolyer Royal Prince Alfred Hospital
Mark J. Cowley
Mark J. Cowley Garvan Institute of Medical Research
Nicholas K. Hayward
Nicholas K. Hayward QIMR Berghofer Medical Research Institute
Barbara A. Leggett
Barbara A. Leggett University of Queensland

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