World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
70
Citations
86122
World Ranking
2223
National Ranking
279

Chris Wallace 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 Chris Wallace 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: 177 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Chris Wallace 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 Chris Wallace 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: 70 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Overview

Chris Wallace is affiliated with the University of Cambridge in the United Kingdom. Their research primarily spans the fields of Biochemistry, Genetics, and Molecular Biology, with significant work also related to Medicine.

Wallace's research interests are concentrated in several subfields and topics. The subfields include Molecular Biology, Genetics, Immunology, Cancer Research, and Hematology. Key topics of their work cover Genetic Associations and Epidemiology, Gene expression and cancer classification, Bioinformatics and Genomic Networks, Genetic Mapping and Diversity in Plants and Animals, Genetic and phenotypic traits in livestock, Single-cell and spatial transcriptomics, and Autoimmune and Inflammatory Disorders Research.

The scientist has contributed to numerous publications, including highly cited papers such as:

  • Mendelian randomization, 2022, Nature Reviews Methods Primers
  • Combining evidence from Mendelian randomization and colocalization: Review and comparison of approaches, 2022, The American Journal of Human Genetics
  • Eliciting priors and relaxing the single causal variant assumption in colocalisation analyses, 2020, PLoS Genetics
  • A more accurate method for colocalisation analysis allowing for multiple causal variants, 2021, PLoS Genetics
  • A disease-associated gene desert directs macrophage inflammation through ETS2, 2024, Nature

Frequent co-authors collaborating with Wallace include:

  • Guillermo Reales
  • Thomas Willis
  • Lucy R. Wedderburn
  • Elena Vigorito
  • Paul Kirk

Their research has been published in a range of venues, most notably:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • PLoS Genetics
  • The American Journal of Human Genetics
  • Cochrane Database of Systematic Reviews

Best Publications

  • Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33)

    R C Turner;R R Holman;C A Cull;I M Stratton

  • Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 38. UK Prospective Diabetes Study Group.

    Stearne;SL Palmer;Hammersley;SL Franklin

  • Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

    Paul R. Burton;David G. Clayton;Lon R. Cardon;Nick Craddock

  • Bayesian test for colocalisation between pairs of genetic association studies using summary statistics.

    Claudia Giambartolomei;Damjan Vukcevic;Eric E. Schadt;Lude Franke

  • Efficacy of atenolol and captopril in reducing risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 39

    M R Stearne;S L Palmer;M S Hammersley;S L Franklin

  • Six new loci associated with body mass index highlight a neuronal influence on body weight regulation

    Cristen J. Willer;Elizabeth K. Speliotes;Elizabeth K. Speliotes;Ruth J. F. Loos;Shengxu Li

  • Robust associations of four new chromosome regions from genome-wide analyses of type 1 diabetes.

    John A. Todd;Neil M. Walker;Jason D. Cooper;Deborah J. Smyth

  • Genome-wide association study identifies eight loci associated with blood pressure

    Christopher Newton-Cheh;Christopher Newton-Cheh;Toby Johnson;Toby Johnson;Vesela Gateva;Martin D. Tobin

  • Association scan of 14,500 nonsynonymous SNPs in four diseases identifies autoimmunity variants

    Paul R Burton;David G Clayton;Lon R Cardon;Nick Craddock

  • Correction: Corrigendum: Dense genotyping of immune-related susceptibility loci reveals new insights into the genetics of psoriatic arthritis

    John Bowes;Ashley Budu-Aggrey;Ulrike Huffmeier;Steffen Uebe

  • Lineage-Specific Genome Architecture Links Enhancers and Non-coding Disease Variants to Target Gene Promoters

    Biola M Javierre;Oliver S Burren;Steven P Wilder;Roman Kreuzhuber

  • Dense genotyping identifies and localizes multiple common and rare variant association signals in celiac disease

    Gosia Trynka;Karen A Hunt;Nicholas A Bockett;Jihane Romanos

  • Genome-wide association analysis identifies 20 loci that influence adult height

    M N Weedon;H Lango;C M Lindgren;C M Lindgren;C Wallace

  • Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls

    Nick Craddock;Matthew E. Hurles;Niall Cardin;Richard D. Pearson

  • Meta-analysis of 28,141 individuals identifies common variants within five new loci that influence uric acid concentrations.

    Melanie Kolz;Toby Johnson;Toby Johnson;Toby Johnson;Serena Sanna;Alexander Teumer

  • Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers.

    Suna Onengut-Gumuscu;Wei-Min Chen;Oliver Burren;Nick J Cooper

  • Localization of type 1 diabetes susceptibility to the MHC class I genes HLA-B and HLA-A

    Sergey Nejentsev;Joanna M. M. Howson;Neil M. Walker;Jeffrey Szeszko

  • Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution

    Cecilia M. Lindgren;Iris M. Heid;Joshua C. Randall;Claudia Lamina

  • Pervasive sharing of genetic effects in autoimmune disease.

    Chris Cotsapas;Benjamin F. Voight;Benjamin F. Voight;Elizabeth Rossin;Kasper Lage;Kasper Lage;Kasper Lage

  • Meta-analysis of 28,141 individuals identifies common variants within five new loci that influence uric acid concentrations

    M. Kolz;T. Johnson;S. Sanna;A. Teumer

Frequent Co-Authors

John A. Todd
John A. Todd University of Oxford
Mark J. Caulfield
Mark J. Caulfield Queen Mary University of London
Patricia B. Munroe
Patricia B. Munroe Queen Mary University of London
Martin Farrall
Martin Farrall University of Oxford
Nilesh J. Samani
Nilesh J. Samani University of Leicester
Deborah J. Smyth
Deborah J. Smyth University of Cambridge
Anna F. Dominiczak
Anna F. Dominiczak University of Glasgow
Willem H. Ouwehand
Willem H. Ouwehand University of Cambridge
Morris J. Brown
Morris J. Brown Queen Mary University of London
Linda S. Wicker
Linda S. Wicker University of Oxford

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