World's Best Scientists 2026 revealed!
Chris C. A. Spencer

Chris C. A. Spencer

D-Index & Metrics

Genetics

D-Index
75
Citations
65077
World Ranking
1855
National Ranking
230

Chris C. A. Spencer 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 C. A. Spencer 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: 113 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Chris C. A. Spencer 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 C. A. Spencer 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: 75 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Overview

Chris C. A. Spencer is affiliated with Genomics plc in the United Kingdom. Their research focus spans multiple areas within medicine and the biological sciences. The main fields of study covered in their publications include Medicine and Biochemistry, Genetics and Molecular Biology.

The subfields of study where their work is concentrated are Genetics, Surgery, Epidemiology, Molecular Biology, and Pulmonary and Respiratory Medicine. The scientist's research topics encompass Genetic Associations and Epidemiology, Lipoproteins and Cardiovascular Health, Winter Sports Injuries and Performance, Agriculture and Farm Safety, Injury Epidemiology and Prevention, Radiomics and Machine Learning in Medical Imaging, and AI in cancer detection.

Recent notable papers include:

  • "Artificial intelligence for predictive biomarker discovery in immuno-oncology: a systematic review," 2023, published in Annals of Oncology
  • "Integrated Polygenic Tool Substantially Enhances Coronary Artery Disease Prediction," 2021, published in Circulation Genomic and Precision Medicine
  • "Viral genome wide association study identifies novel hepatitis C virus polymorphisms associated with sofosbuvir treatment failure," 2021, published in Nature Communications
  • "An integrated polygenic and clinical risk tool enhances coronary artery disease prediction," 2020, published in bioRxiv (Cold Spring Harbor Laboratory)
  • "Bayesian model comparison for rare-variant association studies," 2021, published in The American Journal of Human Genetics

Frequent coauthors collaborating with Chris C. A. Spencer include Fernando Riveros-Mckay, Michael E. Weale, Rachel Moore, Saskia Selzam, and Eva Krapohl.

The scientist's publications have appeared in various venues, most commonly Poster presentations, Zenodo (CERN European Organization for Nuclear Research), Abstracts with programs - Geological Society of America, Free Radical Biology and Medicine, and Annals of Oncology.

Best Publications

  • 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

  • Biological insights from 108 schizophrenia-associated genetic loci

    Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Aiden Corvin;James T. R. Walters

  • A haplotype map of the human genome

    John W. Belmont;Andrew Boudreau;Suzanne M. Leal;Paul Hardenbol

  • A second generation human haplotype map of over 3.1 million SNPs

    Kelly A. Frazer;Dennis G. Ballinger;David R. Cox;David A. Hinds

  • Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis

    Stephen Sawcer;Garrett Hellenthal;Matti Pirinen;Chris C. A. Spencer

  • Genome-wide association study identifies five new schizophrenia loci

    Stephan Ripke;Alan R. Sanders;Kenneth S. Kendler;Douglas F. Levinson

  • Genome-wide detection and characterization of positive selection in human populations

    Pardis C. Sabeti;Pardis C. Sabeti;Patrick Varilly;Patrick Varilly;Ben Fry;Jason Lohmueller

  • Genome-wide association analysis identifies 13 new risk loci for schizophrenia

    Stephan Ripke;Stephan Ripke;Colm T. O'Dushlaine;Kimberly D. Chambert;Jennifer L. Moran

  • Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

    Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev

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

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

  • Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis

    Ashley H. Beecham;Nikolaos A. Patsopoulos;Nikolaos A. Patsopoulos;Dionysia K. Xifara;Mary F. Davis

  • Identification of loci associated with schizophrenia by genome-wide association and follow-up

    Michael C. O'Donovan;Nicholas Craddock;Nadine Norton;Hywel Williams

  • Identification of 15 new psoriasis susceptibility loci highlights the role of innate immunity

    Lam C. Tsoi;Sarah L. Spain;Sarah L. Spain;Jo Knight;Eva Ellinghaus;Eva Ellinghaus

  • A Genome-Wide Association Study Identifies New Psoriasis Susceptibility Loci and an Interaction Between HLA-C and ERAP1

    Amy Strange;Francesca Capon;Chris C A Spencer

  • Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

    Christian R Marshall;Daniel P Howrigan;Daniel P Howrigan;Daniele Merico;Bhooma Thiruvahindrapuram

  • Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes

    Douglas M. Ruderfer;Stephan Ripke;Stephan Ripke;Stephan Ripke;Andrew McQuillin;James Boocock

  • Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases

    Alexander Gusev;S. Hong Lee;Gosia Trynka;Hilary Finucane

  • Designing Genome-Wide Association Studies: Sample Size, Power, Imputation, and the Choice of Genotyping Chip

    Chris C. A. Spencer;Zhan Su;Peter Donnelly;Jonathan Marchini

  • 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

  • FINEMAP: efficient variable selection using summary data from genome-wide association studies

    Christian Benner;Chris C.A. Spencer;Aki S. Havulinna;Veikko Salomaa

Frequent Co-Authors

Peter Donnelly
Peter Donnelly University of Oxford
Aiden Corvin
Aiden Corvin Trinity College Dublin
Elvira Bramon
Elvira Bramon University College London
Sarah Hunt
Sarah Hunt European Bioinformatics Institute
Matti Pirinen
Matti Pirinen University of Helsinki
Matthew A. Brown
Matthew A. Brown Guy's and St Thomas' NHS Foundation Trust
Dominic P. Kwiatkowski
Dominic P. Kwiatkowski University of Oxford
Stephen Sawcer
Stephen Sawcer University of Cambridge
Aarno Palotie
Aarno Palotie University of Helsinki
Jenefer M. Blackwell
Jenefer M. Blackwell Telethon Kids Institute

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