Gert Hulselmans

14.5k total citations · 4 hit papers
30 papers, 6.3k citations indexed

About

Gert Hulselmans is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biophysics. According to data from OpenAlex, Gert Hulselmans has authored 30 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Biophysics. Recurrent topics in Gert Hulselmans's work include Genomics and Chromatin Dynamics (14 papers), Single-cell and spatial transcriptomics (13 papers) and CRISPR and Genetic Engineering (6 papers). Gert Hulselmans is often cited by papers focused on Genomics and Chromatin Dynamics (14 papers), Single-cell and spatial transcriptomics (13 papers) and CRISPR and Genetic Engineering (6 papers). Gert Hulselmans collaborates with scholars based in Belgium, United States and United Kingdom. Gert Hulselmans's co-authors include Stein Aerts, Sara Aibar, Zeynep Kalender Atak, Hana Imrichová, Carmen Bravo González‐Blas, Jasper Wouters, Jean‐Christophe Marine, Florian Rambow, Vân Anh Huynh‐Thu and Pierre Geurts and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Gert Hulselmans

29 papers receiving 6.3k citations

Hit Papers

SCENIC: single-cell regulatory network inference and clus... 2014 2026 2018 2022 2017 2020 2014 2023 1000 2.0k 3.0k

Peers

Gert Hulselmans
Shuqiang Li United States
Sara Aibar Belgium
Xiaojie Qiu United States
Hannah A. Pliner United States
Andrew J. Hill United States
Gert Hulselmans
Citations per year, relative to Gert Hulselmans Gert Hulselmans (= 1×) peers Hana Imrichová

Countries citing papers authored by Gert Hulselmans

Since Specialization
Citations

This map shows the geographic impact of Gert Hulselmans'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 Gert Hulselmans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gert Hulselmans more than expected).

Fields of papers citing papers by Gert Hulselmans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gert Hulselmans. 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 Gert Hulselmans. The network helps show where Gert Hulselmans may publish in the future.

Co-authorship network of co-authors of Gert Hulselmans

This figure shows the co-authorship network connecting the top 25 collaborators of Gert Hulselmans. A scholar is included among the top collaborators of Gert Hulselmans 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 Gert Hulselmans. Gert Hulselmans 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.
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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
3.
Janssens, Jasper, Pierre Mangeol, Nikolai Hecker, et al.. (2024). Spatial transcriptomics in the adult Drosophila brain and body. eLife. 13. 2 indexed citations
4.
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
5.
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
6.
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
7.
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
8.
Janssens, Jasper, Sara Aibar, Ibrahim Ihsan Taskiran, et al.. (2022). Decoding gene regulation in the fly brain. Nature. 601(7894). 630–636. 89 indexed citations
9.
Matetovici, Irina, Suresh Poovathingal, Jeroen Aerts, et al.. (2022). Comparative analysis of antibody- and lipid-based multiplexing methods for single-cell RNA-seq. Genome biology. 23(1). 55–55. 24 indexed citations
10.
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
11.
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 →
12.
Wouters, Jasper, Zeynep Kalender Atak, Liesbeth Minnoye, et al.. (2020). Robust gene expression programs underlie recurrent cell states and phenotype switching in melanoma. Nature Cell Biology. 22(8). 986–998. 137 indexed citations
13.
González‐Blas, Carmen Bravo, Liesbeth Minnoye, Sara Aibar, et al.. (2019). cisTopic: cis-regulatory topic modeling on single-cell ATAC-seq data. Nature Methods. 16(5). 397–400. 244 indexed citations
14.
Spanier, Katina I., Mieke Jansen, Ellen Decaestecker, et al.. (2017). Conserved Transcription Factors Steer Growth-Related Genomic Programs in Daphnia. Genome Biology and Evolution. 9(6). 1821–1842. 12 indexed citations
15.
Atak, Zeynep Kalender, Hana Imrichová, Dmitry Svetlichnyy, et al.. (2017). Identification of cis-regulatory mutations generating de novo edges in personalized cancer gene regulatory networks. Genome Medicine. 9(1). 80–80. 11 indexed citations
16.
Aibar, Sara, Carmen Bravo González‐Blas, Thomas Moerman, et al.. (2017). SCENIC: single-cell regulatory network inference and clustering. Nature Methods. 14(11). 1083–1086. 3087 indexed citations breakdown →
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.
Imrichová, Hana, Gert Hulselmans, Zeynep Kalender Atak, Delphine Potier, & Stein Aerts. (2015). i-cisTarget 2015 update: generalized cis-regulatory enrichment analysis in human, mouse and fly. Nucleic Acids Research. 43(W1). W57–W64. 116 indexed citations
19.
Naval-Sánchez, Marina, Delphine Potier, Gert Hulselmans, Valerie Christiaens, & Stein Aerts. (2015). Identification of Lineage-SpecificCis-Regulatory Modules Associated with Variation in Transcription Factor Binding and Chromatin Activity Using Ornstein–Uhlenbeck Models. Molecular Biology and Evolution. 32(9). 2441–2455. 8 indexed citations
20.
Atak, Zeynep Kalender, Valentina Gianfelici, Gert Hulselmans, et al.. (2013). Comprehensive Analysis of Transcriptome Variation Uncovers Known and Novel Driver Events in T-Cell Acute Lymphoblastic Leukemia. PLoS Genetics. 9(12). e1003997–e1003997. 99 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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