Benoît Ballester

12.9k total citations · 6 hit papers
32 papers, 5.5k citations indexed

About

Benoît Ballester is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Benoît Ballester has authored 32 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 5 papers in Plant Science and 4 papers in Cancer Research. Recurrent topics in Benoît Ballester's work include Genomics and Chromatin Dynamics (18 papers), Genomics and Phylogenetic Studies (6 papers) and Gene expression and cancer classification (6 papers). Benoît Ballester is often cited by papers focused on Genomics and Chromatin Dynamics (18 papers), Genomics and Phylogenetic Studies (6 papers) and Gene expression and cancer classification (6 papers). Benoît Ballester collaborates with scholars based in France, United Kingdom and Canada. Benoît Ballester's co-authors include Jeanne Chèneby, Marius Gheorghe, Anthony Mathelier, Damian Smedley, Syed Haider, Arek Kasprzyk, Aziz Khan, Oriol Fornés, Damir Baranas̆ić and Ge Tan and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

Benoît Ballester

32 papers receiving 5.4k citations

Hit Papers

JASPAR 2020: update of the open-ac... 2009 2026 2014 2020 2019 2017 2009 2010 2012 400 800 1.2k
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. JASPAR 2020: update of the open-access database of transcription factor binding profiles
    2019 1.3k citations Oriol Fornés, Jaime A. Castro-Mondragón et al. Nucleic Acids Research profile →
  2. JASPAR 2018: update of the open-access database of transcription factor binding profiles and its web framework
    2017 1.1k citations Aziz Khan, Oriol Fornés et al. Nucleic Acids Research profile →
  3. BioMart – biological queries made easy
    2009 639 citations Damian Smedley, Syed Haider et al. BMC Genomics profile →
  4. Five-Vertebrate ChIP-seq Reveals the Evolutionary Dynamics of Transcription Factor Binding
    2010 535 citations Dominic Schmidt, Michael D. Wilson et al. Science profile →
  5. Waves of Retrotransposon Expansion Remodel Genome Organization and CTCF Binding in Multiple Mammalian Lineages
    2012 422 citations Dominic Schmidt, Petra Schwalie et al. profile →
  6. ReMap 2022: a database of Human, Mouse, Drosophila and Arabidopsis regulatory regions from an integrative analysis of DNA-binding sequencing experiments
    2021 202 citations Fayrouz Hammal, Pierre de Langen et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoît Ballester France 21 4.3k 900 779 763 494 32 5.5k
Anthony Mathelier Norway 26 4.9k 1.1× 923 1.0× 684 0.9× 1.2k 1.6× 551 1.1× 59 6.2k
Marcel H. Schulz Germany 25 3.9k 0.9× 1.3k 1.4× 849 1.1× 1.2k 1.5× 305 0.6× 98 5.5k
Sarah J. Wheelan United States 34 3.1k 0.7× 705 0.8× 865 1.1× 581 0.8× 317 0.6× 84 4.2k
Arttu Jolma Sweden 19 5.4k 1.2× 823 0.9× 524 0.7× 669 0.9× 452 0.9× 25 6.3k
Michael D. Wilson Canada 34 4.4k 1.0× 915 1.0× 709 0.9× 841 1.1× 345 0.7× 100 5.5k
David J. Arenillas Canada 15 3.7k 0.9× 623 0.7× 434 0.6× 734 1.0× 449 0.9× 28 4.6k
Teemu Kivioja Finland 21 4.4k 1.0× 684 0.8× 484 0.6× 589 0.8× 379 0.8× 33 5.2k
Dominic Schmidt United Kingdom 20 3.9k 0.9× 895 1.0× 676 0.9× 739 1.0× 322 0.7× 27 4.8k
Malte Spielmann Germany 27 3.9k 0.9× 1.2k 1.3× 399 0.5× 678 0.9× 800 1.6× 90 5.7k
Devon Ryan Germany 12 4.2k 1.0× 569 0.6× 933 1.2× 481 0.6× 452 0.9× 19 5.1k

Countries citing papers authored by Benoît Ballester

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Ballester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Ballester

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Ballester. A scholar is included among the top collaborators of Benoît Ballester 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 Benoît Ballester. Benoît Ballester 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.
Zhao, Bingqing, Rebecca R. Viales, Adam Rabinowitz, et al.. (2025). Integrating genetic variation with deep learning provides context for variants impacting transcription factor binding during embryogenesis. Genome Research. 35(5). 1138–1153. 1 indexed citations
2.
Langen, Pierre de & Benoît Ballester. (2024). MUFFIN: a suite of tools for the analysis of functional sequencing data. NAR Genomics and Bioinformatics. 6(2). lqae051–lqae051. 1 indexed citations
3.
Heredia, Cristina Díaz de, et al.. (2024). Comprehensive mapping of genetic variation at Epromoters reveals pleiotropic association with multiple disease traits. Nucleic Acids Research. 53(4). 2 indexed citations
4.
5.
Chèneby, Jeanne, et al.. (2021). Anomaly detection in genomic catalogues using unsupervised multi-view autoencoders. BMC Bioinformatics. 22(1). 460–460. 1 indexed citations
6.
Hammal, Fayrouz, Pierre de Langen, Aurélie Bergon, Fabrice Lopez, & Benoît Ballester. (2021). ReMap 2022: a database of Human, Mouse, Drosophila and Arabidopsis regulatory regions from an integrative analysis of DNA-binding sequencing experiments. Nucleic Acids Research. 50(D1). D316–D325. 202 indexed citations breakdown →
7.
Akerman, İldem, Alina Bazarova, Pau Biak Sang, et al.. (2020). A predictable conserved DNA base composition signature defines human core DNA replication origins. Nature Communications. 11(1). 4826–4826. 54 indexed citations
8.
Gheorghe, Marius, Geir Kjetil Sandve, Aziz Khan, et al.. (2018). A map of direct TF–DNA interactions in the human genome. Nucleic Acids Research. 47(4). e21–e21. 57 indexed citations
9.
Khan, Aziz, Oriol Fornés, Arnaud Stigliani, et al.. (2017). JASPAR 2018: update of the open-access database of transcription factor binding profiles and its web framework. Nucleic Acids Research. 46(D1). D260–D266. 1071 indexed citations breakdown →
10.
Cayrou, Christelle, Benoît Ballester, Isabelle Peiffer, et al.. (2015). The chromatin environment shapes DNA replication origin organization and defines origin classes. Genome Research. 25(12). 1873–1885. 130 indexed citations
11.
Funnell, Alister P. W., Michael D. Wilson, Benoît Ballester, et al.. (2013). A CpG Mutational Hotspot in a ONECUT Binding Site Accounts for the Prevalent Variant of Hemophilia B Leyden. The American Journal of Human Genetics. 92(3). 460–467. 20 indexed citations
12.
13.
Schmidt, Dominic, Michael D. Wilson, Benoît Ballester, et al.. (2010). Five-Vertebrate ChIP-seq Reveals the Evolutionary Dynamics of Transcription Factor Binding. Science. 328(5981). 1036–1040. 535 indexed citations breakdown →
14.
Ballester, Benoît, Nathan Johnson, Glenn Proctor, & Paul Flicek. (2010). Consistent annotation of gene expression arrays. BMC Genomics. 11(1). 294–294. 16 indexed citations
15.
Swan, Daniel, et al.. (2009). Strand selective generation of endo-siRNAs from the Na/phosphate transporter gene Slc34a1 in murine tissues. Nucleic Acids Research. 37(7). 2274–2282. 32 indexed citations
16.
Smedley, Damian, Syed Haider, Benoît Ballester, et al.. (2009). BioMart – biological queries made easy. BMC Genomics. 10(1). 22–22. 639 indexed citations breakdown →
17.
Haider, Syed, Benoît Ballester, Damian Smedley, et al.. (2009). BioMart Central Portal—unified access to biological data. Nucleic Acids Research. 37(suppl_2). W23–W27. 272 indexed citations
18.
Ballester, Benoît, Olivier Ramuz, Christian Gisselbrecht, et al.. (2005). Gene expression profiling identifies molecular subgroups among nodal peripheral T-cell lymphomas. Oncogene. 25(10). 1560–1570. 96 indexed citations
19.
Baris, Olivier R., Delphine Mirebeau‐Prunier, Frédérique Savagner, et al.. (2005). Gene profiling reveals specific oncogenic mechanisms and signaling pathways in oncocytic and papillary thyroid carcinoma. Oncogene. 24(25). 4155–4161. 33 indexed citations
20.
Laporte, Catherine, Benoît Ballester, Charles Mary, Shozo Izui, & Luc Reininger. (2003). The Sgp3 Locus on Mouse Chromosome 13 Regulates Nephritogenic gp70 Autoantigen Expression and Predisposes to Autoimmunity. The Journal of Immunology. 171(7). 3872–3877. 25 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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