Éric Bonnet

5.9k total citations · 1 hit paper
33 papers, 2.7k citations indexed

About

Éric Bonnet is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Éric Bonnet has authored 33 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Computational Theory and Mathematics. Recurrent topics in Éric Bonnet's work include Bioinformatics and Genomic Networks (15 papers), Gene Regulatory Network Analysis (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). Éric Bonnet is often cited by papers focused on Bioinformatics and Genomic Networks (15 papers), Gene Regulatory Network Analysis (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). Éric Bonnet collaborates with scholars based in France, Belgium and United Kingdom. Éric Bonnet's co-authors include Yves Van de Peer, Pierre Rouzé, J. Wuyts, Kenny Billiau, Ying He, Laurence Calzone, Tom Michoel, Yvan Saeys, Thomas Abeel and Emmanuel Barillot and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Éric Bonnet

32 papers receiving 2.6k citations

Hit Papers

zt: A Software Tool for Simple and Partial Mantel Tests 2002 2026 2010 2018 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Éric Bonnet France 19 1.6k 1.1k 450 403 248 33 2.7k
Sonja J. Prohaska Germany 25 1.9k 1.2× 466 0.4× 207 0.5× 496 1.2× 410 1.7× 64 2.5k
Adrian Alexa Germany 8 1.2k 0.8× 432 0.4× 250 0.6× 350 0.9× 149 0.6× 8 2.1k
Dirk Metzler Germany 28 1.5k 0.9× 314 0.3× 410 0.9× 694 1.7× 146 0.6× 82 3.1k
Wanjun Gu China 25 2.5k 1.6× 698 0.6× 645 1.4× 616 1.5× 223 0.9× 60 3.1k
Daniel H. Chitwood United States 35 2.0k 1.2× 3.3k 2.9× 121 0.3× 368 0.9× 238 1.0× 79 4.1k
Albert J. Vilella United Kingdom 10 2.1k 1.3× 661 0.6× 314 0.7× 886 2.2× 190 0.8× 11 3.1k
Robert Baertsch United States 14 3.7k 2.3× 1.7k 1.5× 476 1.1× 1.3k 3.2× 322 1.3× 21 5.1k
Gos Micklem United Kingdom 26 3.0k 1.9× 648 0.6× 176 0.4× 579 1.4× 509 2.1× 52 4.0k
Tancred Frickey Germany 26 2.5k 1.5× 1.4k 1.2× 120 0.3× 595 1.5× 455 1.8× 44 4.3k

Countries citing papers authored by Éric Bonnet

Since Specialization
Citations

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

Fields of papers citing papers by Éric Bonnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éric Bonnet

This figure shows the co-authorship network connecting the top 25 collaborators of Éric Bonnet. A scholar is included among the top collaborators of Éric Bonnet 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 Éric Bonnet. Éric Bonnet 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.
2.
Derbois, Céline, Marie-Ange Palomares, Jean‐François Deleuze, Éric Cabannes, & Éric Bonnet. (2023). Single cell transcriptome sequencing of stimulated and frozen human peripheral blood mononuclear cells. Scientific Data. 10(1). 433–433. 14 indexed citations
3.
Bonnet, Éric, et al.. (2022). Methylated Ccfdna from Plasma Biomarkers of Alzheimer’s Disease Using Targeted Bisulfite Sequencing. Epigenomics. 14(8). 451–468. 4 indexed citations
4.
Sanchez, M.E. Navarro, et al.. (2020). Rabies Vaccine Characterization by Nanoparticle Tracking Analysis. Scientific Reports. 10(1). 8149–8149. 17 indexed citations
5.
Palomares, Marie-Ange, Cyril Dalmasso, Éric Bonnet, et al.. (2019). Systematic analysis of TruSeq, SMARTer and SMARTer Ultra-Low RNA-seq kits for standard, low and ultra-low quantity samples. Scientific Reports. 9(1). 7550–7550. 26 indexed citations
6.
Erola, Pau, Éric Bonnet, & Tom Michoel. (2018). Learning Differential Module Networks Across Multiple Experimental Conditions. Methods in molecular biology. 1883. 303–321. 4 indexed citations
7.
Daviaud, Christian, Yimin Shen, Éric Bonnet, et al.. (2018). Whole-Genome Bisulfite Sequencing for the Analysis of Genome-Wide DNA Methylation and Hydroxymethylation Patterns at Single-Nucleotide Resolution. Methods in molecular biology. 1767. 311–349. 31 indexed citations
8.
Martignetti, Loredana, Laurence Calzone, Éric Bonnet, Emmanuel Barillot, & Andreï Zinovyev. (2016). ROMA: Representation and Quantification of Module Activity from Target Expression Data. Frontiers in Genetics. 7. 18–18. 26 indexed citations
9.
Bonnet, Éric, Laurence Calzone, & Tom Michoel. (2015). Integrative Multi-omics Module Network Inference with Lemon-Tree. PLoS Computational Biology. 11(2). e1003983–e1003983. 78 indexed citations
10.
Kuperstein, Inna, Éric Bonnet, Ha Nam Nguyen, et al.. (2015). Atlas of Cancer Signalling Network: a systems biology resource for integrative analysis of cancer data with Google Maps. Oncogenesis. 4(7). e160–e160. 86 indexed citations
11.
Calzone, Laurence, Inna Kuperstein, David Cohen, et al.. (2014). Biological network modelling and precision medicine in oncology. Bulletin du Cancer. 101(S1). 18–21. 1 indexed citations
12.
Vera‐Licona, Paola, Éric Bonnet, Emmanuel Barillot, & Andreï Zinovyev. (2013). OCSANA: optimal combinations of interventions from network analysis. Bioinformatics. 29(12). 1571–1573. 18 indexed citations
13.
Bonnet, Éric, et al.. (2013). Practical Use of BiNoM: A Biological Network Manager Software. Methods in molecular biology. 1021. 127–146. 5 indexed citations
14.
Bonnet, Éric, Marianthi Tatari, Anagha Joshi, et al.. (2010). Module Network Inference from a Cancer Gene Expression Data Set Identifies MicroRNA Regulated Modules. PLoS ONE. 5(4). e10162–e10162. 40 indexed citations
16.
Abeel, Thomas, Yvan Saeys, Éric Bonnet, Pierre Rouzé, & Yves Van de Peer. (2007). Generic eukaryotic core promoter prediction using structural features of DNA. Genome Research. 18(2). 310–323. 158 indexed citations
17.
Leene, Jelle Van, Hilde Stals, Dominique Eeckhout, et al.. (2007). A Tandem Affinity Purification-based Technology Platform to Study the Cell Cycle Interactome in Arabidopsis thaliana. Molecular & Cellular Proteomics. 6(7). 1226–1238. 176 indexed citations
18.
Bonnet, Éric, J. Wuyts, Pierre Rouzé, & Yves Van de Peer. (2004). Detection of 91 potential conserved plant microRNAs in Arabidopsis thaliana and Oryza sativa identifies important target genes. Proceedings of the National Academy of Sciences. 101(31). 11511–11516. 368 indexed citations
19.
Bonnet, Éric, J. Wuyts, Pierre Rouzé, & Yves Van de Peer. (2004). Evidence that microRNA precursors, unlike other non-coding RNAs, have lower folding free energies than random sequences. Bioinformatics. 20(17). 2911–2917. 447 indexed citations
20.
Bonnet, Éric, et al.. (1996). Criteria for the assessment of intrinsic performances of digital radiographic intraoral sensors. Academic Radiology. 3(9). 751–757. 5 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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