Éric Bonnet

5.9k citations
33 papers · 2.7k indexed · 1 hit paper · h-index 19

Impact in

    • Plant Molecular Biology Research
    • Chromosomal and Genetic Variations
    • Plant Stress Responses and Tolerance
    • MicroRNA in disease regulation

Papers in

Éric Bonnet

32 papers receiving 2.6k citations

Hit Papers

zt: A Software Tool for Simple and Partial Mantel Tests 2002 · 641 citations
6412002202620102018200400600

Peers

Éric Bonnet
Comparison fields: 5 of 128
  • Plant Science 1.1k
  • Cancer Research 450
  • Molecular Biology 1.6k
  • Genetics 403
  • Ecological Modeling 54
Replace Marco Todesco with:
Marco Todesco Canada
Wanjun Gu China
Alexander E. Vinogradov Russia
Dirk Metzler Germany
Anil Raj United States
Manfred Grabherr Sweden
Jean‐Marc Aury France
Albert J. Vilella United Kingdom
Frédéric Lemoine France
Andrej Blejec Slovenia
Éric Bonnet relative to Marco Todesco Canada Marco Todesco's profile →
Citations per field
00.5×1.5×
Marco Todesco · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Éric Bonnet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Éric Bonnet Line = papers co-authored together Éric Bonnet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
zt: A Software Tool for Simple and Partial Mantel Tests
Hit paper breakdown →
2002641
2 2004447
3 2004368
4 2010271
5 2007176
6 2007158
7 2006107
8 201586
9 201578
10 201040
11 201837
12 201336
13 201831
14 201030
15 201626
16 201926
17 201525
18 202022
19 200919
20 201318

About Éric Bonnet

Éric Bonnet is a scholar working on Aging, Virology, Molecular Biology, Cancer Research and Modeling and Simulation, having authored 33 papers that have together received 2.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (15 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), RNA modifications and cancer (5 papers), Gene Regulatory Network Analysis (5 papers), Genomics and Phylogenetic Studies (4 papers), Plant Molecular Biology Research (3 papers), Epigenetics and DNA Methylation (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Plant Science (1.1k citations), Cancer Research (450 citations), Molecular Biology (1.6k citations), Genetics (403 citations) and Ecological Modeling (54 citations). Éric Bonnet has collaborated with scholars based in France, Belgium and United Kingdom. Frequent co-authors include Yves Van de Peer, Pierre Rouzé, J. Wuyts, Ying He, Kenny Billiau, Laurence Calzone, Tom Michoel, Yvan Saeys, Thomas Abeel and Andreï Zinovyev. Their work appears in journals such as Bioinformatics, Scientific Reports, PLoS ONE, Database and Oncogenesis.

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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