Jennifer Becq

6.7k total citations · 2 hit papers
16 papers, 3.2k citations indexed

About

Jennifer Becq is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Jennifer Becq has authored 16 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Cancer Research. Recurrent topics in Jennifer Becq's work include Cancer Genomics and Diagnostics (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Genetic factors in colorectal cancer (3 papers). Jennifer Becq is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Genetic factors in colorectal cancer (3 papers). Jennifer Becq collaborates with scholars based in United Kingdom, France and United States. Jennifer Becq's co-authors include Lisa Murray, Christopher T. Saunders, Wendy S.W. Wong, R. Keira Cheetham, Sajani Swamy, David Bentley, Sean Humphray, Sabrina Rajan, Carlos Caldas and Betania Mahler‐Araujo and has published in prestigious journals such as New England Journal of Medicine, Blood and Bioinformatics.

In The Last Decade

Jennifer Becq

16 papers receiving 3.2k citations

Hit Papers

Analysis of Circulating Tumor DNA to Monitor Metastatic B... 2012 2026 2016 2021 2013 2012 500 1000 1.5k
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. Analysis of Circulating Tumor DNA to Monitor Metastatic Breast Cancer
    2013 1.6k citations Sarah‐Jane Dawson, Dana W.Y. Tsui et al. New England Journal of Medicine profile →
  2. Strelka: accurate somatic small-variant calling from sequenced tumor–normal sample pairs
    2012 868 citations Christopher T. Saunders, Wendy S.W. Wong et al. Bioinformatics profile →

Peers

Jennifer Becq
Petar Stojanov United States
Jason D. Merker United States
Jacqueline Lehmann‐Che France
Somak Roy United States
Richard W. Tothill Australia
Helen Won United States
Zhongwu Lai United States
Eric Talevich United States
Hartmut Juhl United States
Moritz Gerstung United Kingdom
Petar Stojanov United States
Jennifer Becq
Citations per year, relative to Jennifer Becq Jennifer Becq (= 1×) peers Petar Stojanov

Countries citing papers authored by Jennifer Becq

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Becq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Becq

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Becq. A scholar is included among the top collaborators of Jennifer Becq 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 Jennifer Becq. Jennifer Becq is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Berri, Stefano, John F. Peden, Claire Fielding, et al.. (2025). A dedicated caller for DUX4 rearrangements from whole-genome sequencing data. BMC Medical Genomics. 18(1). 24–24. 1 indexed citations
2.
McBride, David J., Claire Fielding, Alexandra Vatsiou, et al.. (2023). Whole-Genome Sequencing Can Identify Clinically Relevant Variants from a Single Sub-Punch of a Dried Blood Spot Specimen. International Journal of Neonatal Screening. 9(3). 52–52. 4 indexed citations
3.
He, Miao, Zoya Kingsbury, Jennifer Becq, et al.. (2021). Clinical-grade whole-genome sequencing and 3′ transcriptome analysis of colorectal cancer patients. Genome Medicine. 13(1). 33–33. 5 indexed citations
4.
Klintman, Jenny, Samantha J.L. Knight, Pauline Robbe, et al.. (2018). Clinical‐grade validation of whole genome sequencing reveals robust detection of low‐frequency variants and copy number alterations in CLL. British Journal of Haematology. 182(3). 412–417. 11 indexed citations
5.
Raiber, Eun‐Ang, Dario Beraldi, Sergio Martínez Cuesta, et al.. (2017). Base resolution maps reveal the importance of 5-hydroxymethylcytosine in a human glioblastoma. npj Genomic Medicine. 2(1). 6–6. 19 indexed citations
6.
Robbe, Pauline, Kate Ridout, Jennifer Becq, et al.. (2016). Identifying High-Risk CLL to Predict Early Relapse after FCR Based Treatment Using Whole Genome Sequencing: First Results from the Genomics England CLL Pilot. Blood. 128(22). 2022–2022. 1 indexed citations
7.
Dawson, Sarah‐Jane, Dana W.Y. Tsui, Muhammed Murtaza, et al.. (2013). Analysis of Circulating Tumor DNA to Monitor Metastatic Breast Cancer. New England Journal of Medicine. 368(13). 1199–1209. 1634 indexed citations breakdown →
8.
Köser, Claudio U., Louise Fraser, Jennifer Becq, et al.. (2013). Rapid single-colony whole-genome sequencing of bacterial pathogens. Journal of Antimicrobial Chemotherapy. 69(5). 1275–1281. 40 indexed citations
9.
Becq, Jennifer, Louise Fraser, Ole Schulz-Trieglaff, et al.. (2012). Genomic Variation among Contemporary Pseudomonas aeruginosa Isolates from Chronically Infected Cystic Fibrosis Patients. Journal of Bacteriology. 194(18). 4857–4866. 69 indexed citations
10.
Saunders, Christopher T., Wendy S.W. Wong, Sajani Swamy, et al.. (2012). Strelka: accurate somatic small-variant calling from sequenced tumor–normal sample pairs. Bioinformatics. 28(14). 1811–1817. 868 indexed citations breakdown →
11.
Schuh, Anna, Jennifer Becq, Sean Humphray, et al.. (2012). Monitoring chronic lymphocytic leukemia progression by whole genome sequencing reveals heterogeneous clonal evolution patterns. Blood. 120(20). 4191–4196. 214 indexed citations
12.
Mallet, Ludovic, Jennifer Becq, & Patrick Deschavanne. (2010). Whole genome evaluation of horizontal transfers in the pathogenic fungus Aspergillus fumigatus. BMC Genomics. 11(1). 171–171. 34 indexed citations
13.
Lèbre, Sophie, Jennifer Becq, Frédéric Devaux, Michael P. H. Stumpf, & Gaëlle Lelandais. (2010). Statistical inference of the time-varying structure of gene-regulation networks. BMC Systems Biology. 4(1). 130–130. 124 indexed citations
14.
Becq, Jennifer, et al.. (2010). A Benchmark of Parametric Methods for Horizontal Transfers Detection. PLoS ONE. 5(4). e9989–e9989. 46 indexed citations
15.
Jang, Jichan, Jennifer Becq, Brigitte Gicquel, Patrick Deschavanne, & Olivier Neyrolles. (2008). Horizontally acquired genomic islands in the tubercle bacilli. Trends in Microbiology. 16(7). 303–308. 47 indexed citations
16.
Becq, Jennifer, M. Cristina Gutiérrez, J. Rauzier, et al.. (2007). Contribution of Horizontally Acquired Genomic Islands to the Evolution of the Tubercle Bacilli. Molecular Biology and Evolution. 24(8). 1861–1871. 116 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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