Kathleen Marchal

28.4k total citations · 1 hit paper
215 papers, 8.4k citations indexed

About

Kathleen Marchal is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Kathleen Marchal has authored 215 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 152 papers in Molecular Biology, 45 papers in Genetics and 37 papers in Ecology. Recurrent topics in Kathleen Marchal's work include Bioinformatics and Genomic Networks (47 papers), Gene expression and cancer classification (45 papers) and Genomics and Phylogenetic Studies (32 papers). Kathleen Marchal is often cited by papers focused on Bioinformatics and Genomic Networks (47 papers), Gene expression and cancer classification (45 papers) and Genomics and Phylogenetic Studies (32 papers). Kathleen Marchal collaborates with scholars based in Belgium, South Africa and United States. Kathleen Marchal's co-authors include Yves Van de Peer, Eshchar Mizrachi, Jos Vanderleyden, Kristof Engelen, Riet De Smet, Sigrid C. J. De Keersmaecker, Bart De Moor, Yves Moreau, Gert Thijs and Pierre Rouzé and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Kathleen Marchal

210 papers receiving 8.3k citations

Hit Papers

The evolutionary significance of polyploidy 2017 2026 2020 2023 2017 250 500 750 1000
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. The evolutionary significance of polyploidy
    2017 1.1k citations Yves Van de Peer, Kathleen Marchal et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathleen Marchal Belgium 43 5.6k 2.1k 1.5k 1.1k 697 215 8.4k
Chen-Shan Chin United States 25 5.3k 1.0× 2.2k 1.0× 1.2k 0.9× 661 0.6× 1.3k 1.9× 34 8.2k
Jason Miller United States 19 5.5k 1.0× 2.7k 1.3× 1.8k 1.2× 435 0.4× 1.3k 1.9× 56 9.0k
Martin Shumway United States 11 4.9k 0.9× 1.8k 0.8× 1.3k 0.9× 495 0.4× 1.3k 1.9× 12 7.7k
Brian P. Walenz United States 21 5.8k 1.0× 3.2k 1.5× 1.6k 1.1× 435 0.4× 1.5k 2.1× 30 8.9k
Stefan Kurtz Germany 31 7.1k 1.3× 3.4k 1.6× 1.6k 1.1× 491 0.4× 1.3k 1.9× 67 10.2k
Thomas Abeel United States 27 4.9k 0.9× 2.1k 1.0× 967 0.7× 703 0.6× 1.4k 2.0× 78 8.3k
Daniel R. Zerbino United Kingdom 19 6.5k 1.2× 2.7k 1.3× 1.6k 1.1× 547 0.5× 1.9k 2.8× 29 10.2k
Michael Smoot United States 9 5.9k 1.1× 2.0k 0.9× 1.1k 0.8× 442 0.4× 1.1k 1.6× 11 9.1k
Jared T. Simpson Canada 20 5.3k 1.0× 1.7k 0.8× 1.1k 0.8× 635 0.6× 1.4k 2.0× 32 7.3k
Stephen W. Turner United States 20 4.5k 0.8× 1.2k 0.5× 755 0.5× 433 0.4× 1.2k 1.8× 22 6.2k

Countries citing papers authored by Kathleen Marchal

Since Specialization
Citations

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

Fields of papers citing papers by Kathleen Marchal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathleen Marchal

This figure shows the co-authorship network connecting the top 25 collaborators of Kathleen Marchal. A scholar is included among the top collaborators of Kathleen Marchal 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 Kathleen Marchal. Kathleen Marchal 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
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Beerenwinkel, Niko, et al.. (2025). ELLIPSIS: robust quantification of splicing in scRNA-seq. Bioinformatics. 41(2). 1 indexed citations
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Roosens, Nancy H. C., et al.. (2024). Benchmarking bacterial taxonomic classification using nanopore metagenomics data of several mock communities. Scientific Data. 11(1). 864–864. 8 indexed citations
5.
Verhaegen, Bavo, Sarah Denayer, Florence Crombé, et al.. (2023). Transforming Shiga toxin-producing Escherichia coli surveillance through whole genome sequencing in food safety practices. Frontiers in Microbiology. 14. 1204630–1204630. 6 indexed citations
6.
Parijs, Ilse, et al.. (2023). Competitive interactions facilitate resistance development against antimicrobials. Applied and Environmental Microbiology. 89(10). e0115523–e0115523. 5 indexed citations
7.
Eecken, Kim Van der, Francisco Carrillo‐Pérez, Nicolaas Lumen, et al.. (2023). Whole Slide Imaging-Based Prediction of TP53 Mutations Identifies an Aggressive Disease Phenotype in Prostate Cancer. Cancer Research. 83(17). 2970–2984. 12 indexed citations
8.
Bulcke, Tim Van den, et al.. (2022). Extracting functional insights from loss-of-function screens using deep link prediction. Cell Reports Methods. 2(2). 100171–100171. 1 indexed citations
9.
Eynden, Jimmy Van den, et al.. (2021). Network-Based Analysis to Identify Drivers of Metastatic Prostate Cancer Using GoNetic. Cancers. 13(21). 5291–5291. 2 indexed citations
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Saltykova, Assia, Sarah Denayer, Bavo Verhaegen, et al.. (2020). Strain-Level Metagenomic Data Analysis of Enriched In Vitro and In Silico Spiked Food Samples: Paving the Way towards a Culture-Free Foodborne Outbreak Investigation Using STEC as a Case Study. International Journal of Molecular Sciences. 21(16). 5688–5688. 15 indexed citations
12.
Bogaerts, Bert, Bavo Verhaegen, Sarah Denayer, et al.. (2020). The Benefits of Whole Genome Sequencing for Foodborne Outbreak Investigation from the Perspective of a National Reference Laboratory in a Smaller Country. Foods. 9(8). 1030–1030. 24 indexed citations
13.
Saltykova, Assia, Sarah Denayer, Bavo Verhaegen, et al.. (2020). A Practical Method to Implement Strain-Level Metagenomics-Based Foodborne Outbreak Investigation and Source Tracking in Routine. Microorganisms. 8(8). 1191–1191. 18 indexed citations
14.
Meysman, Pieter, Paolo Sonego, Luca Bianco, et al.. (2013). COLOMBOS v2.0: an ever expanding collection of bacterial expression compendia: Table 1.. Nucleic Acids Research. 42(D1). D649–D653. 28 indexed citations
15.
Joshi, Anagha, Riet De Smet, Kathleen Marchal, Yves Van de Peer, & Tom Michoel. (2009). Module networks revisited: computational assessment and prioritization of model predictions. Bioinformatics. 25(4). 490–496. 64 indexed citations
16.
Verlinden, Lieve, Isabelle Vanden Bempt, Guy Eelen, et al.. (2007). The E2F-Regulated Gene Chk1 Is Highly Expressed in Triple-Negative Estrogen Receptor−/Progesterone Receptor−/HER-2− Breast Carcinomas. Cancer Research. 67(14). 6574–6581. 122 indexed citations
17.
Leemput, Koen Van, Tim Van den Bulcke, Bart Naudts, et al.. (2005). A generator of biologically plausible synthetic gene expression data for design and analysis of structure learning algorithms. 6 indexed citations
18.
Rombauts, Stéphane, et al.. (2003). Computational Approaches to Identify Promoters and cis-Regulatory Elements in Plant Genomes. PLANT PHYSIOLOGY. 132(3). 1162–1176. 133 indexed citations
19.
Thijs, Gert, Stéphane Rombauts, Magali Lescot, et al.. (2000). Detection of cis-acting regulatory elements in plants : a GIBBS sampling approach. Ghent University Academic Bibliography (Ghent University). 4 indexed citations
20.
Revers, Luís Fernando, Luciane Maria Pereira Passaglia, Kathleen Marchal, et al.. (2000). Characterization of anAzospirillum brasilenseTn5mutant with enhanced N2fixation: the effect of ORF280 onnifHexpression. FEMS Microbiology Letters. 183(1). 23–29. 16 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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