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Stein Aerts

Stein Aerts

D-Index & Metrics

Genetics

D-Index
65
Citations
28070
World Ranking
2655
National Ranking
41

Stein Aerts 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 Stein Aerts 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: 189 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Stein Aerts 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 Stein Aerts 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: 65 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Stein Aerts is affiliated with KU Leuven in Belgium and has a body of work primarily focused on biochemistry, genetics, and molecular biology. Their research spans several subfields including molecular biology, cellular and molecular neuroscience, biophysics, cancer research, and immunology. The main topics in their work involve single-cell and spatial transcriptomics, genomics and chromatin dynamics, CRISPR and genetic engineering, neurobiology and insect physiology research, cancer genomics and diagnostics, cell image analysis techniques, and RNA research and splicing.

Recent publications by Stein Aerts include notable papers such as:

  • "A scalable SCENIC workflow for single-cell gene regulatory network analysis," 2020, Nature Protocols
  • "Fly Cell Atlas: A single-nucleus transcriptomic atlas of the adult fruit fly," 2022, Science
  • "SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks," 2023, Nature Methods
  • "Robust gene expression programs underlie recurrent cell states and phenotype switching in melanoma," 2020, Nature Cell Biology
  • "Mitochondria metabolism sets the species-specific tempo of neuronal development," 2023, Science

Stein Aerts commonly publishes in venues such as bioRxiv (Cold Spring Harbor Laboratory), with 27 publications, followed by eLife (6 publications), Nature (5 publications), Science (4 publications), and Nature Communications (4 publications).

The scientist frequently collaborates with other researchers. Regular co-authors include:

  • Gert Hulselmans (37 co-publications)
  • Suresh Poovathingal (31 co-publications)
  • Valerie Christiaens (24 co-publications)
  • Kristofer Davie (19 co-publications)
  • Carmen Bravo González-Blas (19 co-publications)

Best Publications

  • SCENIC: single-cell regulatory network inference and clustering.

    Sara Aibar;Carmen Bravo González-Blas;Thomas Moerman;Vân Anh Huynh-Thu

  • Phenotype molding of stromal cells in the lung tumor microenvironment.

    Diether Lambrechts;Els Wauters;Bram Boeckx;Sara Aibar

  • Gene prioritization through genomic data fusion.

    Stein Aerts;Diether Lambrechts;Sunit Maity;Peter Van Loo

  • A Single-Cell Transcriptome Atlas of the Aging Drosophila Brain

    Kristofer Davie;Jasper Janssens;Duygu Koldere;Maxime De Waegeneer

  • A scalable SCENIC workflow for single-cell gene regulatory network analysis.

    Bram Van de Sande;Christopher Flerin;Kristofer Davie;Maxime De Waegeneer

  • iRegulon: from a gene list to a gene regulatory network using large motif and track collections.

    Rekin's Janky;Annelien Verfaillie;Hana Imrichová;Bram Van de Sande

  • Discovery of functional elements in 12 Drosophila genomes using evolutionary signatures

    Alexander Stark;Michael F Lin;Pouya Kheradpour;Jakob Skou Pedersen;Jakob Skou Pedersen

  • Toward Minimal Residual Disease-Directed Therapy in Melanoma.

    Florian Rambow;Aljosja Rogiers;Oskar Marin-Bejar;Sara Aibar

  • GRNBoost2 and Arboreto: efficient and scalable inference of gene regulatory networks.

    Thomas Moerman;Thomas Moerman;Sara Aibar Santos;Carmen Bravo González-Blas;Jaak Simm;Jaak Simm

  • Melanoma addiction to the long non-coding RNA SAMMSON.

    Eleonora Leucci;Roberto Vendramin;Marco Spinazzi;Patrick Laurette

  • Alteration of the microRNA network during the progression of Alzheimer's disease.

    Pierre Lau;Koen Bossers;Rekin's Janky;Evgenia Salta

  • Exome sequencing identifies mutation in CNOT3 and ribosomal genes RPL5 and RPL10 in T-cell acute lymphoblastic leukemia

    Kim De Keersmaecker;Zeynep Kalender Atak;Ning Li;Carmen Vicente

  • p53 induces formation of NEAT1 lncRNA-containing paraspeckles that modulate replication stress response and chemosensitivity

    Carmen Adriaens;Laura Standaert;Jasmine Barra;Mathilde Latil

  • Decoding the regulatory landscape of melanoma reveals TEADS as regulators of the invasive cell state

    Annelien Verfaillie;Hana Imrichova;Zeynep Kalender Atak;Michael Dewaele

  • cisTopic: cis-regulatory topic modeling on single-cell ATAC-seq data

    Carmen Bravo González-Blas;Liesbeth Minnoye;Dafni Papasokrati;Sara Aibar

  • ORegAnno: an open-access community-driven resource for regulatory annotation.

    Obi L. Griffith;Stephen B. Montgomery;Bridget Bernier;Bryan Chu

  • Endeavour update: a web resource for gene prioritization in multiple species

    Léon-Charles Tranchevent;Roland Barriot;Shi Yu;Steven Van Vooren

  • Toucan: deciphering the cis‐regulatory logic of coregulated genes

    Stein Aerts;Gert Thijs;Bert Coessens;Mik Staes

  • Comparison and meta-analysis of microarray data: from the bench to the computer desk.

    Yves Moreau;Stein Aerts;Bart De Moor;Bart De Strooper

  • Mapping gene regulatory networks from single-cell omics data.

    Mark W E J Fiers;Liesbeth Minnoye;Sara Aibar;Carmen Bravo González-Blas

Frequent Co-Authors

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