Sandra Steyaert

1.5k total citations · 2 hit papers
20 papers, 984 citations indexed

About

Sandra Steyaert is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Sandra Steyaert has authored 20 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Cancer Research. Recurrent topics in Sandra Steyaert's work include Epigenetics and DNA Methylation (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers) and Prostate Cancer Treatment and Research (4 papers). Sandra Steyaert is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers) and Prostate Cancer Treatment and Research (4 papers). Sandra Steyaert collaborates with scholars based in Belgium, United States and Germany. Sandra Steyaert's co-authors include Xiaoqin Xu, Frédéric Chédin, Stella R. Hartono, Paul A. Ginno, Yoong Wearn Lim, Lionel A. Sanz, Olivier Gevaert, Wim Van Criekinge, Priya Khandelwal and Andrew J. Gentles and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Sandra Steyaert

19 papers receiving 973 citations

Hit Papers

Prevalent, Dynamic, and Conserved R-Loop Structures Assoc... 2016 2026 2019 2022 2016 2023 100 200 300
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. Prevalent, Dynamic, and Conserved R-Loop Structures Associate with Specific Epigenomic Signatures in Mammals
    2016 395 citations Lionel A. Sanz, Stella R. Hartono et al. Molecular Cell profile →
  2. Multimodal data fusion for cancer biomarker discovery with deep learning
    2023 165 citations Sandra Steyaert, Marija Pizurica et al. Nature Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandra Steyaert Belgium 9 694 130 115 97 82 20 984
Man‐Hung Eric Tang Denmark 10 755 1.1× 505 3.9× 188 1.6× 170 1.8× 46 0.6× 23 1.3k
Katy Vandereyken Belgium 3 457 0.7× 112 0.9× 42 0.4× 42 0.4× 19 0.2× 3 660
Satoshi Okawa Japan 17 811 1.2× 102 0.8× 43 0.4× 51 0.5× 10 0.1× 67 1.2k
Sara Strömberg Sweden 13 451 0.6× 81 0.6× 64 0.6× 42 0.4× 74 0.9× 15 767
Wei‐Wen Cai United States 13 623 0.9× 137 1.1× 52 0.5× 252 2.6× 13 0.2× 25 925
Henrik Failmezger Germany 9 337 0.5× 117 0.9× 37 0.3× 23 0.2× 144 1.8× 15 671
Vincent Gardeux Switzerland 17 768 1.1× 130 1.0× 36 0.3× 164 1.7× 16 0.2× 43 1.2k
Tae Hyun Hwang United States 17 503 0.7× 132 1.0× 129 1.1× 111 1.1× 109 1.3× 49 992
Longqi Liu China 17 1.1k 1.6× 286 2.2× 46 0.4× 66 0.7× 16 0.2× 59 1.4k

Countries citing papers authored by Sandra Steyaert

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Steyaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandra Steyaert

This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Steyaert. A scholar is included among the top collaborators of Sandra Steyaert 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 Sandra Steyaert. Sandra Steyaert 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.
Barba, Thomas, Sandra Steyaert, Francisco Carrillo‐Pérez, et al.. (2025). DUNE: a versatile neuroimaging encoder captures brain complexity across 3 major diseases: cancer, dementia, and schizophrenia. GigaScience. 14.
2.
Khandelwal, Priya, et al.. (2023). Augmenting digital twins with federated learning in medicine. The Lancet Digital Health. 5(5). e251–e253. 14 indexed citations
3.
4.
Steyaert, Sandra, et al.. (2023). Multimodal deep learning to predict prognosis in adult and pediatric brain tumors. SHILAP Revista de lepidopterología. 3(1). 44–44. 47 indexed citations
5.
Steyaert, Sandra, et al.. (2023). A decentralized, prospective, observational study to collect real-world data from patients with myasthenia gravis using smartphones. Frontiers in Neurology. 14. 1144183–1144183. 5 indexed citations
6.
Steyaert, Sandra, Marija Pizurica, Priya Khandelwal, et al.. (2023). Multimodal data fusion for cancer biomarker discovery with deep learning. Nature Machine Intelligence. 5(4). 351–362. 165 indexed citations breakdown →
7.
Decock, Anneleen, David Creytens, Steve Lefever, et al.. (2022). mRNA Capture Sequencing and RT-qPCR for the Detection of Pathognomonic, Novel, and Secondary Fusion Transcripts in FFPE Tissue: A Sarcoma Showcase. International Journal of Molecular Sciences. 23(19). 11007–11007. 3 indexed citations
8.
Jong, Hans de, et al.. (2022). Clinical use of the mRNA urinary biomarker SelectMDx test for prostate cancer. Prostate Cancer and Prostatic Diseases. 25(3). 583–589. 12 indexed citations
9.
Roth, Kevin A., Elena V. Knatko, Maureen Higgins, et al.. (2021). Clinically relevant aberrant Filip1l DNA methylation detected in a murine model of cutaneous squamous cell carcinoma. EBioMedicine. 67. 103383–103383. 6 indexed citations
10.
Sarabu, Chethan, Sandra Steyaert, & Nirav R. Shah. (2021). Predicting Environmental Allergies from Real World Data Through a Mobile Study Platform. Journal of Asthma and Allergy. Volume 14. 259–264. 2 indexed citations
11.
Frankl‐Vilches, Carolina, Gaurav Majumdar, Sandra Steyaert, et al.. (2021). DNA Methylation Regulates Transcription Factor-Specific Neurodevelopmental but Not Sexually Dimorphic Gene Expression Dynamics in Zebra Finch Telencephalon. Frontiers in Cell and Developmental Biology. 9. 583555–583555. 8 indexed citations
12.
Steyaert, Sandra, Justin D. Cohen, Elizabeth Garcia, et al.. (2019). MP24-02 CLINICAL UTILITY OF CONFIRMMDX FOR PROSTATE CANCER IN A COMMUNITY UROLOGY PRACTICE. The Journal of Urology. 201(Supplement 4). 1 indexed citations
13.
Steyaert, Sandra, et al.. (2019). Clinical utility study of confirms mdx for prostate cancer in a community urology practice.. Journal of Clinical Oncology. 37(7_suppl). 94–94. 6 indexed citations
14.
Haese, Alexander, Geert Trooskens, Sandra Steyaert, et al.. (2019). Multicenter Optimization and Validation of a 2-Gene mRNA Urine Test for Detection of Clinically Significant Prostate Cancer before Initial Prostate Biopsy. The Journal of Urology. 202(2). 256–263. 71 indexed citations
15.
Steyaert, Sandra, et al.. (2018). A comprehensive overview of genomic imprinting in breast and its deregulation in cancer. Nature Communications. 9(1). 4120–4120. 52 indexed citations
16.
Sanz, Lionel A., Stella R. Hartono, Yoong Wearn Lim, et al.. (2016). Prevalent, Dynamic, and Conserved R-Loop Structures Associate with Specific Epigenomic Signatures in Mammals. Molecular Cell. 63(1). 167–178. 395 indexed citations breakdown →
17.
Steyaert, Sandra, Ellen De Meester, Sarah De Keulenaer, et al.. (2016). A genome-wide search for epigenetically regulated genes in zebra finch using MethylCap-seq and RNA-seq. Scientific Reports. 6(1). 20957–20957. 7 indexed citations
18.
Crappé, Jeroen, Elvis Ndah, Alexander Koch, et al.. (2014). PROTEOFORMER: deep proteome coverage through ribosome profiling and MS integration. Nucleic Acids Research. 43(5). e29–e29. 116 indexed citations
19.
Steyaert, Sandra, Wim Van Criekinge, Simon Denil, et al.. (2014). SNP-guided identification of monoallelic DNA-methylation events from enrichment-based sequencing data. Nucleic Acids Research. 42(20). e157–e157. 5 indexed citations
20.

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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