Stein Aerts

27.3k total citations · 6 hit papers
101 papers, 11.7k citations indexed

About

Stein Aerts is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Stein Aerts has authored 101 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 14 papers in Cancer Research and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Stein Aerts's work include Genomics and Chromatin Dynamics (43 papers), Single-cell and spatial transcriptomics (20 papers) and RNA Research and Splicing (16 papers). Stein Aerts is often cited by papers focused on Genomics and Chromatin Dynamics (43 papers), Single-cell and spatial transcriptomics (20 papers) and RNA Research and Splicing (16 papers). Stein Aerts collaborates with scholars based in Belgium, United States and United Kingdom. Stein Aerts's co-authors include Gert Hulselmans, Sara Aibar, Zeynep Kalender Atak, Carmen Bravo González‐Blas, Hana Imrichová, Jasper Wouters, Jean‐Christophe Marine, Thomas Moerman, Jan Aerts and Florian Rambow and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Stein Aerts

99 papers receiving 11.6k citations

Hit Papers

SCENIC: single-cell regulatory network... 2006 2026 2012 2019 2017 2018 2020 2006 2014 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. SCENIC: single-cell regulatory network inference and clustering
    2017 3.1k citations Sara Aibar, Carmen Bravo González‐Blas et al. Nature Methods profile →
  2. Phenotype molding of stromal cells in the lung tumor microenvironment
    2018 1.0k citations Diether Lambrechts, Els Wauters et al. Nature Medicine profile →
  3. A scalable SCENIC workflow for single-cell gene regulatory network analysis
    2020 723 citations Bram Van de Sande, Christopher Flerin et al. Nature Protocols profile →
  4. Gene prioritization through genomic data fusion
    2006 661 citations Stein Aerts, Diether Lambrechts et al. profile →
  5. iRegulon: From a Gene List to a Gene Regulatory Network Using Large Motif and Track Collections
    2014 610 citations Annelien Verfaillie, Hana Imrichová et al. profile →
  6. SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks
    2023 231 citations Carmen Bravo González‐Blas, Seppe De Winter et al. Nature Methods profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stein Aerts Belgium 45 8.3k 2.3k 2.0k 1.9k 964 101 11.7k
Christoph Hafemeister United States 12 8.4k 1.0× 3.9k 1.6× 1.8k 0.9× 1.7k 0.9× 795 0.8× 19 12.7k
Tim Stuart United States 14 7.4k 0.9× 3.2k 1.4× 1.7k 0.8× 1.5k 0.8× 677 0.7× 18 11.4k
Marlon Stoeckius United States 18 7.9k 0.9× 3.5k 1.5× 1.8k 0.9× 1.6k 0.8× 646 0.7× 22 11.7k
Yuhan Hao United States 19 6.3k 0.8× 3.0k 1.3× 1.5k 0.7× 1.5k 0.8× 563 0.6× 38 10.4k
Tariq Enver United Kingdom 63 9.2k 1.1× 2.4k 1.0× 1.6k 0.8× 1.5k 0.8× 1.5k 1.5× 174 13.7k
Orit Rozenblatt–Rosen United States 41 6.7k 0.8× 2.5k 1.1× 1.9k 1.0× 3.1k 1.6× 739 0.8× 61 11.1k
William M. Mauck United States 17 6.1k 0.7× 2.8k 1.2× 1.3k 0.7× 1.3k 0.7× 697 0.7× 24 9.5k
José Luís de la Pompa Spain 52 12.3k 1.5× 2.2k 1.0× 2.3k 1.1× 2.1k 1.1× 1.6k 1.7× 102 15.4k
Andrew Butler United States 10 10.4k 1.3× 5.2k 2.2× 2.5k 1.3× 2.3k 1.2× 894 0.9× 12 16.1k
Yusuke Nakamura Japan 64 8.0k 1.0× 1.3k 0.6× 1.9k 0.9× 2.5k 1.3× 1.7k 1.8× 216 12.8k

Countries citing papers authored by Stein Aerts

Since Specialization
Citations

This map shows the geographic impact of Stein Aerts's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stein Aerts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stein Aerts more than expected).

Fields of papers citing papers by Stein Aerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stein Aerts. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stein Aerts. The network helps show where Stein Aerts may publish in the future.

Co-authorship network of co-authors of Stein Aerts

This figure shows the co-authorship network connecting the top 25 collaborators of Stein Aerts. A scholar is included among the top collaborators of Stein Aerts based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stein Aerts. Stein Aerts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Winter, Seppe De, et al.. (2025). Modelling and design of transcriptional enhancers. Nature Reviews Bioengineering. 3(5). 374–389. 3 indexed citations
2.
Cassar, Marlène, Corentine Marie, Zeynep Kalender Atak, et al.. (2025). Temporal transcriptional regulation of mitochondrial morphology primes activity-dependent circuit connectivity. Nature Communications. 16(1). 8173–8173.
3.
4.
Hecker, Nikolai, David Mauduit, Roel Vandepoel, et al.. (2025). Enhancer-driven cell type comparison reveals similarities between the mammalian and bird pallium. Science. 387(6735). eadp3957–eadp3957. 9 indexed citations
5.
Janssens, Jasper, Pierre Mangeol, Nikolai Hecker, et al.. (2024). Spatial transcriptomics in the adult Drosophila brain and body. eLife. 13. 2 indexed citations
6.
González‐Blas, Carmen Bravo, Irina Matetovici, Hanne Hillen, et al.. (2024). Single-cell spatial multi-omics and deep learning dissect enhancer-driven gene regulatory networks in liver zonation. Nature Cell Biology. 26(1). 153–167. 30 indexed citations
7.
González‐Blas, Carmen Bravo, Seppe De Winter, Gert Hulselmans, et al.. (2023). SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks. Nature Methods. 20(9). 1355–1367. 231 indexed citations breakdown →
8.
Taskiran, Ibrahim Ihsan, Katina I. Spanier, Gert Hulselmans, et al.. (2023). Cell-type-directed design of synthetic enhancers. Nature. 626(7997). 212–220. 69 indexed citations
9.
Floc’hlay, Swann, Valerie Christiaens, Carmen Bravo González‐Blas, et al.. (2023). Shared enhancer gene regulatory networks between wound and oncogenic programs. eLife. 12. 8 indexed citations
10.
Styfhals, Ruth, Gert Hulselmans, Katina I. Spanier, et al.. (2022). Cell type diversity in a developing octopus brain. Nature Communications. 13(1). 7392–7392. 41 indexed citations
11.
Ismail, Joy N., Carmen Bravo González‐Blas, Gert Hulselmans, et al.. (2022). Hydrop enables droplet-based single-cell ATAC-seq and single-cell RNA-seq using dissolvable hydrogel beads. eLife. 11. 44 indexed citations
12.
Kowalczyk, Weronika, Mardelle Atkins, Hanne Hillen, et al.. (2022). Hippo signaling instructs ectopic but not normal organ growth. Science. 378(6621). eabg3679–eabg3679. 43 indexed citations
13.
González‐Blas, Carmen Bravo, Xiao‐Jiang Quan, Ibrahim Ihsan Taskiran, et al.. (2020). Identification of genomic enhancers through spatial integration of single‐cell transcriptomics and epigenomics. Molecular Systems Biology. 16(5). e9438–e9438. 48 indexed citations
14.
Sande, Bram Van de, Christopher Flerin, Kristofer Davie, et al.. (2020). A scalable SCENIC workflow for single-cell gene regulatory network analysis. Nature Protocols. 15(7). 2247–2276. 723 indexed citations breakdown →
15.
Lambrechts, Diether, Els Wauters, Bram Boeckx, et al.. (2018). Phenotype molding of stromal cells in the lung tumor microenvironment. Nature Medicine. 24(8). 1277–1289. 1037 indexed citations breakdown →
16.
Brás‐Pereira, Catarina, Delphine Potier, Jelle Jacobs, et al.. (2016). dachshund Potentiates Hedgehog Signaling during Drosophila Retinogenesis. PLoS Genetics. 12(7). e1006204–e1006204. 14 indexed citations
17.
Verfaillie, Annelien, Hana Imrichová, Zeynep Kalender Atak, et al.. (2015). Decoding the regulatory landscape of melanoma reveals TEADS as regulators of the invasive cell state. Nature Communications. 6(1). 6683–6683. 280 indexed citations
18.
Youssef, Khalil Kass, Gaëlle Lapouge, Karine Bouvrée, et al.. (2012). Adult interfollicular tumour-initiating cells are reprogrammed into an embryonic hair follicle progenitor-like fate during basal cell carcinoma initiation. Nature Cell Biology. 14(12). 1282–1294. 101 indexed citations
19.
Aerts, Stein, Xiao‐Jiang Quan, Annelies Claeys, et al.. (2010). Robust Target Gene Discovery through Transcriptome Perturbations and Genome-Wide Enhancer Predictions in Drosophila Uncovers a Regulatory Basis for Sensory Specification. PLoS Biology. 8(7). e1000435–e1000435. 73 indexed citations
20.
Aerts, Stein, Jacques van Helden, Olivier Sand, & Bassem A. Hassan. (2007). Fine-Tuning Enhancer Models to Predict Transcriptional Targets across Multiple Genomes. PLoS ONE. 2(11). e1115–e1115. 22 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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