World's Best Scientists 2026 revealed!
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Genetics
Germany
2024

D-Index & Metrics

Genetics

D-Index
99
Citations
77426
World Ranking
764
National Ranking
64

Oliver Stegle 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 Oliver Stegle 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: 282 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Oliver Stegle 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 Oliver Stegle 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: 99 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2024 - Research.com Genetics in Germany Leader Award
  • 2023 - Research.com Genetics in Germany Leader Award

Overview

Oliver Stegle is affiliated with the German Cancer Research Center in Germany. Their research primarily spans the domain of Biochemistry, Genetics, and Molecular Biology, with a total of 255 publications in this field. Subfields explored in their work include Molecular Biology, Genetics, Cancer Research, Immunology, and Biophysics.

The main topics addressed in Stegle's research encompass:

  • Single-cell and spatial transcriptomics
  • Cancer Genomics and Diagnostics
  • Gene expression and cancer classification
  • CRISPR and Genetic Engineering
  • Genetic Associations and Epidemiology
  • Cell Image Analysis Techniques
  • Gene Regulatory Network Analysis

Oliver Stegle has authored numerous papers published in a range of scientific journals and platforms. Frequent venues for their publications include bioRxiv (Cold Spring Harbor Laboratory), Nature Communications, Genome Biology, Zenodo (CERN European Organization for Nuclear Research), and Nature Genetics.

Notable recent papers by Stegle or closely connected to their research include:

  • "Eleven grand challenges in single-cell data science," 2020, Genome Biology
  • "Cell2location maps fine-grained cell types in spatial transcriptomics," 2022, Nature Biotechnology
  • "MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data," 2020, Genome Biology
  • "Haplotype-resolved diverse human genomes and integrated analysis of structural variation," 2021, Science
  • "The Polygenic and Monogenic Basis of Blood Traits and Diseases," 2020, Cell

Their frequent coauthors indicate collaborative works with several researchers, with prominent partnerships featuring:

  • Marc Jan Bonder (35 joint works)
  • John C. Marioni (16 joint works)
  • Daniel D. Seaton (15 joint works)
  • Jan O. Korbel (13 joint works)
  • Omer Ali Bayraktar (13 joint works)

Best Publications

  • A global reference for human genetic variation.

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

  • Pan-cancer analysis of whole genomes

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

  • An integrated map of structural variation in 2,504 human genomes

    Peter H. Sudmant;Tobias Rausch;Eugene J. Gardner;Robert E. Handsaker;Robert E. Handsaker

  • Transcriptome and genome sequencing uncovers functional variation in humans

    Tuuli Lappalainen;Michael Sammeth;Marc R. Friedländer;Peter A. C. ‘t Hoen

  • Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression

    Urmo Võsa;Annique Claringbould;Annique Claringbould;Harm-Jan Westra;Marc Jan Bonder

  • The Human Cell Atlas

    Aviv Regev;Aviv Regev;Aviv Regev;Sarah A Teichmann;Sarah A Teichmann;Sarah A Teichmann;Eric S Lander;Eric S Lander;Eric S Lander;Ido Amit

  • Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment.

    Jonas Schulte-Schrepping;Nico Reusch;Daniela Paclik;Kevin Baßler

  • Deep learning for computational biology

    Christof Angermueller;Tanel Pärnamaa;Tanel Pärnamaa;Leopold Parts;Leopold Parts;Oliver Stegle

  • Eleven grand challenges in single-cell data science

    David Lähnemann;David Lähnemann;Johannes Köster;Johannes Köster;Ewa Szczurek;Davis J. McCarthy;Davis J. McCarthy

  • Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses

    Oliver Stegle;Leopold Parts;Matias Piipari;John Winn

  • Computational and analytical challenges in single-cell transcriptomics

    Oliver Stegle;Sarah A. Teichmann;John C. Marioni

  • Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells

    Florian Buettner;Kedar N Natarajan;Kedar N Natarajan;F Paolo Casale;Valentina Proserpio;Valentina Proserpio

  • 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

  • Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity

    Sébastien A Smallwood;Heather J Lee;Heather J Lee;Christof Angermueller;Felix Krueger

  • Whole-genome sequencing of multiple Arabidopsis thaliana populations

    Jun Cao;Korbinian Schneeberger;Stephan Ossowski;Stephan Ossowski;Torsten Günther

  • A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium

    Zhenqiang Su;Paweł P. Łabaj;Sheng Li;Jean Thierry-Mieg

  • A global reference for human genetic variation

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

  • Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients.

    André Kahles;Kjong-Van Lehmann;Nora C Toussaint;Matthias Hüser

  • Multi-Omics Factor Analysis—a framework for unsupervised integration of multi-omics data sets

    Ricard Argelaguet;Britta Velten;Damien Arnol;Sascha Dietrich

  • Spontaneous epigenetic variation in the Arabidopsis thaliana methylome

    Claude Becker;Jörg Hagmann;Jonas Müller;Daniel Koenig

Frequent Co-Authors

John C. Marioni
John C. Marioni European Bioinformatics Institute
Wolf Reik
Wolf Reik Babraham Institute
Marc Jan Bonder
Marc Jan Bonder University of Groningen
Karsten M. Borgwardt
Karsten M. Borgwardt Max Planck Institute of Biochemistry
Sarah A. Teichmann
Sarah A. Teichmann University of Cambridge
Gunnar Rätsch
Gunnar Rätsch ETH Zurich
Ewan Birney
Ewan Birney European Molecular Biology Laboratory
Ludovic Vallier
Ludovic Vallier University of Cambridge
Richard Durbin
Richard Durbin University of Cambridge
Willem H. Ouwehand
Willem H. Ouwehand University of Cambridge

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