World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
50
Citations
16074
World Ranking
17426
National Ranking
1367

Daniel J. Gaffney 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 Daniel J. Gaffney 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: 87 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Daniel J. Gaffney 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 Daniel J. Gaffney 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: 50 D-Index — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Overview

Daniel J. Gaffney is affiliated with the Wellcome Sanger Institute in the United Kingdom. Their research spans a range of topics within biochemistry, genetics, and molecular biology, with a focus on molecular biology, genetics, immunology, cancer research, and neurology.

Their scientific contributions focus on several main topics, including:

  • Single-cell and spatial transcriptomics
  • Genetic associations and epidemiology
  • CRISPR and genetic engineering
  • Neuroinflammation and neurodegeneration mechanisms
  • Pluripotent stem cells research
  • RNA modifications and cancer
  • Bioinformatics and genomic networks

Frequently publishing in high-impact journals, Daniel J. Gaffney has contributed notably to venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Genetics
  • Nature Communications
  • Nature Methods
  • Nature Neuroscience

Some recent significant papers include:

  • "Genome-wide meta-analysis, fine-mapping and integrative prioritization implicate new Alzheimer's disease risk genes" (2021), published in Nature Genetics
  • "Souporcell: robust clustering of single-cell RNA-seq data by genotype without reference genotypes" (2020), published in Nature Methods
  • "Dissection of artifactual and confounding glial signatures by single-cell sequencing of mouse and human brain" (2022), published in Nature Neuroscience
  • "Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression" (2020), published in Nature Communications
  • "Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation" (2021), published in Nature Genetics

Throughout their career, Daniel J. Gaffney has collaborated extensively with several researchers, notably:

  • Andrew Knights
  • Natsuhiko Kumasaka
  • Maria Imaz
  • Adam M. H. Young
  • Robin J.M. Franklin

This body of work reflects a comprehensive engagement with cutting-edge methods in single-cell sequencing technologies, genetics, and neurobiology. Their research outputs contribute to understanding genetic influences on cellular function and disease mechanisms, particularly in neurological contexts.

Best Publications

  • A survey of best practices for RNA-seq data analysis

    Ana Conesa;Pedro Madrigal;Pedro Madrigal;Sonia Tarazona;David Gomez-Cabrero

  • DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines.

    Jordana T Bell;Jordana T Bell;Athma A Pai;Joseph K Pickrell;Daniel J Gaffney;Daniel J Gaffney

  • DNase I sensitivity QTLs are a major determinant of human expression variation

    Jacob F. Degner;Athma A. Pai;Roger Pique-Regi;Jean Baptiste Veyrieras

  • Accurate inference of transcription factor binding from DNA sequence and chromatin accessibility data.

    Roger Pique-Regi;Jacob F. Degner;Athma A. Pai;Daniel J. Gaffney

  • Common genetic variation drives molecular heterogeneity in human iPSCs

    Helena Kilpinen;Angela Goncalves;Andreas Leha;Vackar Afzal

  • DNA Sequence-Dependent Compartmentalization and Silencing of Chromatin at the Nuclear Lamina

    Joseph M. Zullo;Ignacio A. Demarco;Roger Piqué-Regi;Roger Piqué-Regi;Daniel J. Gaffney;Daniel J. Gaffney

  • Genome-wide meta-analysis, fine-mapping and integrative prioritization implicate new Alzheimer’s disease risk genes

    Jeremy Schwartzentruber;Jeremy Schwartzentruber;Sarah Cooper;Jimmy Z. Liu;Inigo Barrio-Hernandez

  • Souporcell: robust clustering of single-cell RNA-seq data by genotype without reference genotypes

    Haynes Heaton;Arthur M Talman;Andrew Knights;Maria Imaz;Maria Imaz

  • Genome-wide association study of primary sclerosing cholangitis identifies new risk loci and quantifies the genetic relationship with inflammatory bowel disease

    Sun Gou Ji;Brian D. Juran;Sören Mucha;Trine Folseraas

  • Controls of Nucleosome Positioning in the Human Genome

    Daniel J. Gaffney;Graham McVicker;Graham McVicker;Athma A. Pai;Yvonne N. Fondufe-Mittendorf;Yvonne N. Fondufe-Mittendorf

  • Genetic background drives transcriptional variation in human induced pluripotent stem cells.

    Foad Rouhani;Natsuhiko Kumasaka;Miguel Cardoso de Brito;Allan Bradley

  • Shared genetic effects on chromatin and gene expression indicate a role for enhancer priming in immune response.

    Kaur Alasoo;Julia Rodrigues;Subhankar Mukhopadhyay;Andrew J Knights

  • Dense fine-mapping study identifies new susceptibility loci for primary biliary cirrhosis

    Jimmy Z Liu;Mohamed A Almarri;Daniel J Gaffney;George F Mells

  • Epithelial IL-22RA1-Mediated Fucosylation Promotes Intestinal Colonization Resistance to an Opportunistic Pathogen

    Tu Anh N. Pham;Simon Clare;David Goulding;Julia M. Arasteh

  • Fine-mapping cellular QTLs with RASQUAL and ATAC-seq.

    Natsuhiko Kumasaka;Andrew J Knights;Daniel J Gaffney

  • Dissecting the regulatory architecture of gene expression QTLs

    Daniel J Gaffney;Daniel J Gaffney;Daniel J Gaffney;Jean-Baptiste Veyrieras;Jacob F Degner;Roger Pique-Regi

  • CRISPR/Cas9 editing in human pluripotent stem cell-cardiomyocytes highlights arrhythmias, hypocontractility, and energy depletion as potential therapeutic targets for hypertrophic cardiomyopathy

    Diogo Mosqueira;Ingra Mannhardt;Jamie R Bhagwan;Katarzyna Lis-Slimak

  • Quantifying the Slightly Deleterious Mutation Model of Molecular Evolution

    Adam Eyre-Walker;Peter D. Keightley;Nick G. C. Smith;Daniel Gaffney

  • Molecular and functional variation in iPSC-derived sensory neurons.

    Jeremy Schwartzentruber;Jeremy Schwartzentruber;Stefanie Foskolou;Helena Kilpinen;Julia Rodrigues

  • Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation

    Julie Jerber;Daniel D Seaton;Anna S E Cuomo;Natsuhiko Kumasaka

Frequent Co-Authors

Jonathan K. Pritchard
Jonathan K. Pritchard Stanford University
John C. Marioni
John C. Marioni European Bioinformatics Institute
Ludovic Vallier
Ludovic Vallier University of Cambridge
Jeremy Schwartzentruber
Jeremy Schwartzentruber Wellcome Sanger Institute
Willem H. Ouwehand
Willem H. Ouwehand University of Cambridge
Oliver Stegle
Oliver Stegle German Cancer Research Center
Peter D. Keightley
Peter D. Keightley University of Edinburgh
Yoav Gilad
Yoav Gilad University of Chicago
Richard Durbin
Richard Durbin University of Cambridge
Gordon Dougan
Gordon Dougan University of Cambridge

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