World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
57
Citations
65279
World Ranking
13486
National Ranking
1052

Gerton Lunter 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 Gerton Lunter 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: 113 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Gerton Lunter 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 Gerton Lunter 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: 57 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Overview

Gerton Lunter is affiliated with the University of Oxford in the United Kingdom. Their research spans several domains primarily within Medicine and Biochemistry, Genetics and Molecular Biology, with a strong emphasis on Molecular Biology, Genetics, Epidemiology, Artificial Intelligence, and Plant Science as key subfields of study.

Their work covers multiple topics, including:

  • Genomics and Phylogenetic Studies
  • Cancer Genomics and Diagnostics
  • Chronic Disease Management Strategies
  • Genomics and Rare Diseases
  • Lung Cancer Treatments and Mutations
  • Genetic Associations and Epidemiology
  • Machine Learning in Healthcare

Lunter has contributed to various frequent publication venues which include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS ONE
  • Scientific Reports
  • SSRN Electronic Journal
  • EBioMedicine

Some of their recent papers are:

  • "DeepC: predicting 3D genome folding using megabase-scale transfer learning" (2020), published in Nature Methods
  • "A unified haplotype-based method for accurate and comprehensive variant calling" (2021), published in Nature Biotechnology
  • "Respiratory Syncytial Virus, Human Metapneumovirus, and Parainfluenza Virus Infections in Lung Transplant Recipients: A Systematic Review of Outcomes and Treatment Strategies" (2021), published in Clinical Infectious Diseases
  • "Structural and non-coding variants increase the diagnostic yield of clinical whole genome sequencing for rare diseases" (2023), published in Genome Medicine
  • "Neuropeptide S receptor 1 is a nonhormonal treatment target in endometriosis" (2021), published in Science Translational Medicine

The scientist frequently collaborates with several co-authors, including:

  • Harold Snieder
  • Judith M. Vonk
  • Dorien Neijzen
  • Hylke C. Donker
  • Ed Schuuring

Best Publications

  • A global reference for human genetic variation.

    Adam Auton;Gonçalo R. Abecasis;David M. Altshuler;Richard M. Durbin

  • The variant call format and VCFtools

    Petr Danecek;Adam Auton;Goncalo Abecasis;Cornelis A. Albers

  • A Systematic Survey of Loss-of-Function Variants in Human Protein-Coding Genes

    Daniel G. MacArthur;Daniel G. MacArthur;Suganthi Balasubramanian;Adam Frankish;Ni Huang

  • Mapping copy number variation by population-scale genome sequencing

    Ryan E. Mills;Klaudia Walter;Chip Stewart;Robert E. Handsaker

  • Stampy: a statistical algorithm for sensitive and fast mapping of Illumina sequence reads.

    Gerton Lunter;Martin Goodson

  • Integrating mapping-, assembly- and haplotype-based approaches for calling variants in clinical sequencing applications

    A Rimmer;H Phan;I Mathieson;Z Iqbal

  • A global reference for human genetic variation

    Adam Auton;Gonçalo R. Abecasis;David M. Altshuler;Richard M. Durbin

  • Insights into hominid evolution from the gorilla genome sequence

    Aylwyn Scally;Julien Y. Dutheil;LaDeana W. Hillier;Gregory E. Jordan

  • Functionality or transcriptional noise? Evidence for selection within long noncoding RNAs

    Jasmina Ponjavic;Chris P. Ponting;Gerton Lunter

  • Comparative and demographic analysis of orang-utan genomes.

    Devin P. Locke;LaDeana W. Hillier;Wesley C. Warren;Kim C. Worley

  • The bonobo genome compared with the chimpanzee and human genomes

    Kay Prüfer;Kasper Munch;Ines Hellmann;Keiko Akagi

  • A map of human genome variation from population-scale sequencing

    Richard M. Durbin;David L. Altshuler;Gonçalo R. Abecasis;David R. Bentley

  • Dindel: Accurate indel calls from short-read data

    Cornelis A. Albers;Gerton Lunter;Daniel G. MacArthur;Gilean McVean

  • The human pancreatic islet transcriptome: expression of candidate genes for type 1 diabetes and the impact of pro-inflammatory cytokines.

    Décio L. Eizirik;Michael Sammeth;Thomas Bouckenooghe;Guy Bottu

  • Factors influencing success of clinical genome sequencing across a broad spectrum of disorders

    Jenny C. Taylor;Jenny C. Taylor;Hilary C. Martin;Stefano Lise;John Broxholme

  • Genomic and transcriptional co-localization of protein-coding and long non-coding RNA pairs in the developing brain.

    Jasmina Ponjavic;Peter L. Oliver;Gerton Lunter;Chris P. Ponting

  • A Fine-Scale Chimpanzee Genetic Map from Population Sequencing

    Adam Auton;Adam Auton;Adi Fledel-Alon;Susanne Pfeifer;Oliver Venn

  • Accelerated evolution of the Prdm9 speciation gene across diverse metazoan taxa

    Peter L. Oliver;Leo Goodstadt;Joshua J. Bayes;Zoë Birtle

  • The origin, evolution, and functional impact of short insertion–deletion variants identified in 179 human genomes

    Stephen B. Montgomery;Stephen B. Montgomery;David L. Goode;Erika Kvikstad;Erika Kvikstad;Cornelis A. Albers;Cornelis A. Albers

  • 8.2% of the Human genome is constrained: variation in rates of turnover across functional element classes in the human lineage.

    Chris M. Rands;Stephen Meader;Chris P. Ponting;Gerton Lunter

Frequent Co-Authors

Chris P. Ponting
Chris P. Ponting University of Edinburgh
Gert Vegter
Gert Vegter University of Groningen
Peter Donnelly
Peter Donnelly University of Oxford
Jenny C. Taylor
Jenny C. Taylor University of Oxford
Daniel G. MacArthur
Daniel G. MacArthur Garvan Institute of Medical Research
Gil McVean
Gil McVean University of Oxford
Can Alkan
Can Alkan Bilkent University
Stephen B. Montgomery
Stephen B. Montgomery Stanford University
Steven A. McCarroll
Steven A. McCarroll Harvard University
Evan E. Eichler
Evan E. Eichler University of Washington

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