Stein Aerts
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 10
- Molecular Biology top 0.5%
- Genomics and Chromatin Dynamics 43
- Single-cell and spatial transcriptomics 20
- RNA Research and Splicing 16
- Developmental Biology and Gene Regulation 12
- Gene expression and cancer classification 11
- RNA and protein synthesis mechanisms 10
- Immunology top 1%
- Aging top 1%
- Oncology top 1%
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- Neurobiology and Insect Physiology Research 11
- Co-authors
- Gert HulselmansSara AibarZeynep Kalender AtakCarmen Bravo González‐BlasHana ImrichováJasper WoutersJean‐Christophe MarineThomas Moerman
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Stein Aerts
99 papers receiving 11.6k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Cancer Research 2.0k
- Molecular Biology 8.3k
- Immunology 2.3k
- Aging 167
- Oncology 1.9k
Countries citing papers authored by Stein Aerts
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
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
The 25 scholars most cited alongside Stein Aerts, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 30 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 69 | |
| 8 | 2022 | 44 | |
| 9 | 2022 | 41 | |
| 10 | 2022 | 43 | |
| 11 | 2022 | 89 | |
| 12 | 2020 | 48 | |
| 13 | A scalable SCENIC workflow for single-cell gene regulatory network analysisbreakdown → | 2020 | 723 |
| 14 | 2019 | 20 | |
| 15 | Phenotype molding of stromal cells in the lung tumor microenvironmentbreakdown → | 2018 | 1037 |
| 16 | 2016 | 14 | |
| 17 | 2016 | 8 | |
| 18 | 2015 | 280 | |
| 19 | 2014 | 16 | |
| 20 | 2003 | 131 |
About Stein Aerts
Stein Aerts is a scholar working on Aging, Molecular Biology and Cancer Research, having authored 101 papers that have together received 11.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (43 papers), Single-cell and spatial transcriptomics (20 papers), RNA Research and Splicing (16 papers), Developmental Biology and Gene Regulation (12 papers), Neurobiology and Insect Physiology Research (11 papers), Gene expression and cancer classification (11 papers), Cancer Genomics and Diagnostics (10 papers) and RNA and protein synthesis mechanisms (10 papers). The work is most often cited by research in Cancer Research (2.0k citations), Molecular Biology (8.3k citations) and Immunology (2.3k citations). Stein Aerts has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent 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. Their work appears in journals such as eLife, Nucleic Acids Research, Nature Communications, Genome biology and PLoS Genetics.
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.