Benoît Piégu

4.6k citations
70 papers · 2.1k · h-index 22

Impact in

    • Chromosomal and Genetic Variations
    • Plant Disease Resistance and Genetics
    • Plant Virus Research Studies
    • Plant Molecular Biology Research
    • Genomics and Phylogenetic Studies
    • CRISPR and Genetic Engineering
    • Plant tissue culture and regeneration

Papers in

    • Chromosomal and Genetic Variations 23
    • Plant Disease Resistance and Genetics 11
    • Plant Virus Research Studies 9
    • Genomics and Phylogenetic Studies 17
    • Genomics and Chromatin Dynamics 6
    • RNA and protein synthesis mechanisms 6

Benoît Piégu

62 papers receiving 2.0k citations

Peers

Benoît Piégu
Comparison fields: 5 of 96
  • Plant Science 1.6k
  • Molecular Biology 1.2k
  • Genetics 363
  • Horticulture 10
  • Endocrinology 41
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Citations per field
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Citations per year

Countries citing papers authored by Benoît Piégu

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Piégu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benoît Piégu, 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 Benoît Piégu Line = papers co-authored together Benoît Piégu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006434
2 2008277
3 2004182
4 201590
5 200775
6 201467
7 200761
8 200460
9 201156
10 200951
11 200951
12 200645
13 200444
14 200842
15 201936
16 200434
17 201029
18 201525
19 201323
20 201622

About Benoît Piégu

Benoît Piégu is a scholar working on Plant Science, Molecular Biology, Genetics, Surgery and Ecology, having authored 70 papers that have together received 2.1k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (23 papers), Genomics and Phylogenetic Studies (17 papers), Plant Disease Resistance and Genetics (11 papers), Plant Virus Research Studies (9 papers), Nerve Injury and Rehabilitation (6 papers), Bacteriophages and microbial interactions (6 papers), Genomics and Chromatin Dynamics (6 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Plant Science (1.6k citations), Molecular Biology (1.2k citations), Genetics (363 citations), Horticulture (10 citations) and Endocrinology (41 citations). Benoît Piégu has collaborated with scholars based in France, United States and Poland. Frequent co-authors include Olivier Panaud, Anne C. Roulin, Yves Bigot, Michel Delseny, Rod A. Wing, Nathalie Picault, Romain Guyot, Richard Cooke, Scott A. Jackson and D. S. Brar. Their work appears in journals such as The Plant Journal, BMC Genomics, Molecular Phylogenetics and Evolution, Journal of General Virology and Genomics.

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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