Philippe Veber

969 total citations
26 papers, 593 citations indexed

About

Philippe Veber is a scholar working on Molecular Biology, Genetics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Philippe Veber has authored 26 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Philippe Veber's work include Genomics and Phylogenetic Studies (9 papers), Bioinformatics and Genomic Networks (6 papers) and Gene Regulatory Network Analysis (5 papers). Philippe Veber is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Bioinformatics and Genomic Networks (6 papers) and Gene Regulatory Network Analysis (5 papers). Philippe Veber collaborates with scholars based in France, Spain and Bulgaria. Philippe Veber's co-authors include Marie Laure Delignette‐Muller, Sandrine Charles, Stéphane Viennot, Denis Bourgeois, Florence Carrouel, Christine Perret, Sabine Colnot, Ovidiu Radulescu, Cécile Godard and Anne Siegel and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Environmental Science & Technology.

In The Last Decade

Philippe Veber

26 papers receiving 584 citations

Peers

Philippe Veber
Maryam Akhavan Taheri Iran
Rumei Li China
Fang Yin Lo United States
Jiewei Wang China
Xiaozhi Li China
Mark de Jong Netherlands
Yinan Ji China
Akihiro Kubo Japan
Maryam Akhavan Taheri Iran
Philippe Veber
Citations per year, relative to Philippe Veber Philippe Veber (= 1×) peers Maryam Akhavan Taheri

Countries citing papers authored by Philippe Veber

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Veber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Veber

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Veber. A scholar is included among the top collaborators of Philippe Veber 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 Philippe Veber. Philippe Veber 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.
Veber, Philippe, et al.. (2025). Phyloformer: Fast, Accurate, and Versatile Phylogenetic Reconstruction with Deep Neural Networks. Molecular Biology and Evolution. 42(4). 5 indexed citations
2.
3.
Veber, Philippe, et al.. (2022). Evaluation of Methods to Detect Shifts in Directional Selection at the Genome Scale. Molecular Biology and Evolution. 40(2). 10 indexed citations
4.
Lefébure, Tristan, Thierry Lengagne, Jean Secondi, et al.. (2021). Transcriptome-wide deregulation of gene expression by artificial light at night in tadpoles of common toads. The Science of The Total Environment. 818. 151734–151734. 14 indexed citations
5.
Burlet, Nelly, Bruno Mugat, Matthieu Boulesteix, et al.. (2020). A Transposon Story: From TE Content to TE Dynamic Invasion of Drosophila Genomes Using the Single-Molecule Sequencing Technology from Oxford Nanopore. Cells. 9(8). 1776–1776. 26 indexed citations
6.
Rey, Carine, Philippe Veber, Laurent Guéguen, et al.. (2019). Detecting adaptive convergent amino acid evolution. Philosophical Transactions of the Royal Society B Biological Sciences. 374(1777). 20180234–20180234. 17 indexed citations
7.
Veber, Philippe, et al.. (2018). Fit Reduced GUTS Models Online: From Theory to Practice. Integrated Environmental Assessment and Management. 14(5). 625–630. 12 indexed citations
8.
Carrouel, Florence, et al.. (2016). Quantitative Molecular Detection of 19 Major Pathogens in the Interdental Biofilm of Periodontally Healthy Young Adults. Frontiers in Microbiology. 7. 840–840. 73 indexed citations
9.
Chatagnon, Amandine, Philippe Veber, Valérie Morin, et al.. (2015). RAR/RXR binding dynamics distinguish pluripotency from differentiation associated cis-regulatory elements. Nucleic Acids Research. 43(10). 4833–4854. 67 indexed citations
10.
Delignette‐Muller, Marie Laure, Christelle Lopes, Philippe Veber, & Sandrine Charles. (2014). Statistical Handling of Reproduction Data for Exposure-Response Modeling. Environmental Science & Technology. 48(13). 7544–7551. 18 indexed citations
11.
King, Guillaume Kon Kam, Philippe Veber, Sandrine Charles, & Marie Laure Delignette‐Muller. (2014). MOSAIC_SSD: A new web tool for species sensitivity distribution to include censored data by maximum likelihood. Environmental Toxicology and Chemistry. 33(9). 2133–2139. 32 indexed citations
12.
Gougèlet, Angélique, Cyril Torre, Philippe Veber, et al.. (2013). T-cell factor 4 and β-catenin chromatin occupancies pattern zonal liver metabolism in mice. Hepatology. 59(6). 2344–2357. 126 indexed citations
13.
Bossy, Robert, et al.. (2012). BioNLP Shared Task - The Bacteria Track. BMC Bioinformatics. 13(S11). S3–S3. 33 indexed citations
14.
Torre, Cyril, Samira Benhamouche, Claudia Mitchell, et al.. (2010). The transforming growth factor-α and cyclin D1 genes are direct targets of β-catenin signaling in hepatocyte proliferation. Journal of Hepatology. 55(1). 86–95. 45 indexed citations
15.
Veber, Philippe, Carito Guziołowski, Michel Le Borgne, Ovidiu Radulescu, & Anne Siegel. (2008). Inferring the role of transcription factors in regulatory networks. BMC Bioinformatics. 9(1). 228–228. 12 indexed citations
16.
Siegel, Anne, Carito Guziołowski, Philippe Veber, Ovidiu Radulescu, & Michel Le Borgne. (2007). Optimiser un plan d'expérience à partir de modèles qualitatifs?. HAL (Le Centre pour la Communication Scientifique Directe). 275(275). 27–31. 1 indexed citations
17.
Siegel, Anne, et al.. (2006). Qualitative analysis of the relation between DNA microarray data and behavioral models of regulation networks. Biosystems. 84(2). 153–174. 20 indexed citations
18.
Andonov, Rumen, Dominique Lavenier, Philippe Veber, & Nicola Yanev. (2005). Dynamic programming for LR‐PCR segmentation of bacterium genomes. Concurrency and Computation Practice and Experience. 17(14). 1657–1668. 1 indexed citations
19.
Veber, Philippe, Michel Le Borgne, Anne Siegel, Sandrine Lagarrigue, & Ovidiu Radulescu. (2004). Complex Qualitative Models in Biology: A New Approach. 2(3-4). 140–151. 14 indexed citations
20.
Andonov, Rumen, Nicola Yanev, Dominique Lavenier, & Philippe Veber. (2003). Combinatorial approaches for segmentingbacterium genomes. OpenGrey (Institut de l'Information Scientifique et Technique). 3 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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