Peter Van Loo

72.7k total citations · 6 hit papers
83 papers, 7.0k citations indexed

About

Peter Van Loo is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Peter Van Loo has authored 83 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 43 papers in Cancer Research and 28 papers in Genetics. Recurrent topics in Peter Van Loo's work include Cancer Genomics and Diagnostics (37 papers), Genomic variations and chromosomal abnormalities (16 papers) and Genomics and Rare Diseases (10 papers). Peter Van Loo is often cited by papers focused on Cancer Genomics and Diagnostics (37 papers), Genomic variations and chromosomal abnormalities (16 papers) and Genomics and Rare Diseases (10 papers). Peter Van Loo collaborates with scholars based in United Kingdom, Belgium and United States. Peter Van Loo's co-authors include Peter J. Campbell, Michael R. Stratton, Kerstin Haase, Moritz Gerstung, Iñigo Martincorena, Peter Marynen, Yves Moreau, David C. Wedge, Stein Aerts and Ludmil B. Alexandrov and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Peter Van Loo

74 papers receiving 6.9k citations

Hit Papers

High burden and pervasive positive selection of... 2006 2026 2012 2019 2015 2017 2016 2006 2010 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Van Loo United Kingdom 35 4.1k 2.9k 1.8k 1.4k 887 83 7.0k
Chai Yin Kok United Kingdom 10 4.4k 1.1× 2.4k 0.8× 1.6k 0.9× 972 0.7× 939 1.1× 14 6.5k
Sally Bamford United Kingdom 12 5.6k 1.4× 3.1k 1.1× 2.1k 1.2× 1.3k 0.9× 1.2k 1.4× 19 8.1k
Mingming Jia China 12 3.7k 0.9× 2.1k 0.7× 1.5k 0.8× 840 0.6× 896 1.0× 19 5.6k
Serena Nik‐Zainal United Kingdom 31 3.8k 0.9× 3.2k 1.1× 1.9k 1.1× 1.2k 0.9× 858 1.0× 66 6.5k
János Demeter United States 27 3.8k 0.9× 2.5k 0.9× 2.4k 1.4× 1.1k 0.8× 613 0.7× 55 6.6k
Abel González-Pérez Spain 31 4.5k 1.1× 3.0k 1.0× 1.1k 0.6× 1.3k 0.9× 925 1.0× 71 6.5k
Alexander Miron United States 42 3.7k 0.9× 1.6k 0.6× 2.4k 1.3× 1.9k 1.4× 578 0.7× 74 7.8k
José Adélaı̈de France 47 4.4k 1.1× 1.9k 0.7× 2.7k 1.5× 956 0.7× 782 0.9× 130 7.6k
Moritz Gerstung United Kingdom 29 3.4k 0.8× 2.2k 0.8× 1.1k 0.6× 874 0.6× 493 0.6× 55 5.8k
Charles Lu United States 24 3.6k 0.9× 2.1k 0.7× 1.7k 1.0× 611 0.4× 890 1.0× 49 6.3k

Countries citing papers authored by Peter Van Loo

Since Specialization
Citations

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

Fields of papers citing papers by Peter Van Loo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Van Loo. 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 Peter Van Loo. The network helps show where Peter Van Loo may publish in the future.

Co-authorship network of co-authors of Peter Van Loo

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Van Loo. A scholar is included among the top collaborators of Peter Van Loo 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 Peter Van Loo. Peter Van Loo 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.
Guo, Shuai, et al.. (2025). A guide to transcriptomic deconvolution in cancer. Nature reviews. Cancer. 26(2). 84–103.
2.
Baker, Toby M., Tom Lesluyes, Haixi Yan, et al.. (2024). The History of Chromosomal Instability in Genome-Doubled Tumors. Cancer Discovery. 14(10). 1810–1822. 1 indexed citations
3.
Puttick, Clare, Michelle Leung, Felipe Gálvez‐Cancino, et al.. (2024). MHC Hammer reveals genetic and non-genetic HLA disruption in cancer evolution. Nature Genetics. 56(10). 2121–2131. 15 indexed citations
4.
Kuzmin, Elena, Toby M. Baker, Peter Van Loo, & Leon Glass. (2024). Dynamics of karyotype evolution. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(5).
5.
Baker, Toby M., Sara Waise, Maxime Tarabichi, & Peter Van Loo. (2024). Aneuploidy and complex genomic rearrangements in cancer evolution. Nature Cancer. 5(2). 228–239. 25 indexed citations
6.
Lesluyes, Tom, Toby M. Baker, Maxime Tarabichi, et al.. (2024). Reconstructing oral cavity tumor evolution through brush biopsy. Scientific Reports. 14(1). 22591–22591.
7.
O’Connor, David, Jonas Demeulemeester, Lucía Conde, et al.. (2023). The Clinicogenomic Landscape of Induction Failure in Childhood and Young Adult T-Cell Acute Lymphoblastic Leukemia. Journal of Clinical Oncology. 41(19). 3545–3556. 12 indexed citations
8.
Watkins, Thomas B.K., Emma Colliver, Matthew R. Huska, et al.. (2023). Refphase: Multi-sample phasing reveals haplotype-specific copy number heterogeneity. PLoS Computational Biology. 19(10). e1011379–e1011379. 4 indexed citations
9.
Drews, Ruben M., Bárbara Hernando, Maxime Tarabichi, et al.. (2022). A pan-cancer compendium of chromosomal instability. Nature. 606(7916). 976–983. 135 indexed citations breakdown →
10.
Demeulemeester, Jonas, Stefan C. Dentro, Moritz Gerstung, & Peter Van Loo. (2022). Biallelic mutations in cancer genomes reveal local mutational determinants. Nature Genetics. 54(2). 128–133. 18 indexed citations
11.
Kaufmann, Tom L., Marina Petković, Thomas B.K. Watkins, et al.. (2022). MEDICC2: whole-genome doubling aware copy-number phylogenies for cancer evolution. Genome biology. 23(1). 241–241. 45 indexed citations
12.
Tarabichi, Maxime, Adriana Salcedo, Amit G. Deshwar, et al.. (2021). A practical guide to cancer subclonal reconstruction from DNA sequencing. Nature Methods. 18(2). 144–155. 84 indexed citations
13.
Dentro, Stefan C., David C. Wedge, & Peter Van Loo. (2017). Principles of Reconstructing the Subclonal Architecture of Cancers. Cold Spring Harbor Perspectives in Medicine. 7(8). a026625–a026625. 56 indexed citations
14.
Alexandrov, Ludmil B., Young Seok Ju, Kerstin Haase, et al.. (2016). Mutational signatures associated with tobacco smoking in human cancer. Science. 354(6312). 618–622. 680 indexed citations breakdown →
15.
Sandhu, Vandana, David C. Wedge, Inger Marie Bowitz Lothe, et al.. (2016). The Genomic Landscape of Pancreatic and Periampullary Adenocarcinoma. Cancer Research. 76(17). 5092–5102. 27 indexed citations
16.
Martincorena, Iñigo, Amit Roshan, Moritz Gerstung, et al.. (2015). High burden and pervasive positive selection of somatic mutations in normal human skin. Science. 348(6237). 880–886. 1123 indexed citations breakdown →
17.
Nilsen, Gro, Knut Liestøl, Peter Van Loo, et al.. (2012). Copynumber: Efficient algorithms for single- and multi-track copy number segmentation. BMC Genomics. 13(1). 591–591. 156 indexed citations
18.
Loo, Peter Van & Peter Marynen. (2009). Computational methods for the detection of cis-regulatory modules. Briefings in Bioinformatics. 10(5). 509–524. 45 indexed citations
19.
Włodarska, Iwona, Peter Van Loo, Birgitte Roland, et al.. (2008). Array-CGH mapping of an overrepresented 7Q region in gamma/delta hepatosplenic T-cell lymphoma. Annals of Oncology. 19. 93–94. 1 indexed citations
20.
Thienpont, Bernard, Luc Mertens, Peter Van Loo, et al.. (2006). Array-CGH: A novel tool in genetic diagnosis of individuals with congenital heart defects. European Journal of Human Genetics. 14(1). 124.

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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