Benoît Piégu

4.5k citations
60 papers · 2.2k · 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 20
    • Plant Disease Resistance and Genetics 10
    • Plant Virus Research Studies 9
    • Genomics and Phylogenetic Studies 13
    • Genomics and Chromatin Dynamics 5

Benoît Piégu

56 papers receiving 2.2k citations

Peers

Benoît Piégu
Comparison fields: 5 of 87
  • Plant Science 1.7k
  • Molecular Biology 1.1k
  • Genetics 385
  • Horticulture 9
  • Endocrinology 36
Replace Andrew Severin with:
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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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006479
2 2008306
3 2004208
4 201599
5 200783
6 200473
7 201470
8 200769
9 201161
10 200956
11 200955
12 200647
13 200847
14 200447
15 201941
16 200439
17 201030
18 201525
19 201323
20 201422

About Benoît Piégu

Benoît Piégu is a scholar working on Plant Science, Molecular Biology, Genetics, Ecology and Animal Science and Zoology, having authored 60 papers that have together received 2.2k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (20 papers), Genomics and Phylogenetic Studies (13 papers), Plant Disease Resistance and Genetics (10 papers), Plant Virus Research Studies (9 papers), Bacteriophages and microbial interactions (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Genomics and Chromatin Dynamics (5 papers) and Plant and Fungal Interactions Research (4 papers). The work is most often cited by research in Plant Science (1.7k citations), Molecular Biology (1.1k citations), Genetics (385 citations), Horticulture (9 citations) and Endocrinology (36 citations). Benoît Piégu has collaborated with scholars based in France, United States and Morocco. Frequent co-authors include Olivier Panaud, Anne C. Roulin, Michel Delseny, Yves Bigot, Rod A. Wing, Richard Cooke, Nathalie Picault, Romain Guyot, Scott A. Jackson and D. S. Brar. Their work appears in journals such as The Plant Journal, BMC Genomics, Molecular Phylogenetics and Evolution, Plant Molecular Biology and Genome Research.

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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