Hervé Perdry

926 citations
48 papers · 441 · h-index 13

Impact in

    • Genetic Associations and Epidemiology
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Genetic Associations and Epidemiology 15
    • Genetic Mapping and Diversity in Plants and Animals 9
    • Genomic variations and chromosomal abnormalities 8
    • Genetic and phenotypic traits in livestock 7

Hervé Perdry

47 papers receiving 427 citations

Peers

Hervé Perdry
Comparison fields: 5 of 109
  • Genetics 138
  • Algebra and Number Theory 22
  • Pathology and Forensic Medicine 80
  • Statistics and Probability 36
  • Cancer Research 58
Replace Cecelia Laurie with:
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Mireia Vilardell Spain
Karen Lewis United Kingdom
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Hege Bøvelstad Norway
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Citations per field
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Citations per year

Countries citing papers authored by Hervé Perdry

Since Specialization
Citations

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

Fields of papers citing papers by Hervé Perdry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200750
2 201434
3 201323
4 202123
5 201522
6 200822
7 201218
8 201616
9 201416
10 200315
11 201115
12 201614
13 201913
14 201512
15 202011
16 200710
17 20119
18 20189
19 20208
20 20078

About Hervé Perdry

Hervé Perdry is a scholar working on Genetics, Molecular Biology, Computational Theory and Mathematics, Geometry and Topology and Algebra and Number Theory, having authored 48 papers that have together received 441 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (15 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Genomic variations and chromosomal abnormalities (8 papers), Genetic and phenotypic traits in livestock (7 papers), Polynomial and algebraic computation (6 papers), Rings, Modules, and Algebras (5 papers), Reading and Literacy Development (4 papers) and Commutative Algebra and Its Applications (4 papers). The work is most often cited by research in Genetics (138 citations), Algebra and Number Theory (22 citations), Pathology and Forensic Medicine (80 citations), Statistics and Probability (36 citations) and Cancer Research (58 citations). Hervé Perdry has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Georges Dellatolas, Emmanuelle Génin, Françoise Clerget‐Darpoux, Valérie Bonadona, Catherine Bonaïti‐Pellié, Flora Alarcon, Florence Labrell, Anne‐Louise Leutenegger, Steven Gazal and Mourad Sahbatou. Their work appears in journals such as European Journal of Human Genetics, Human Heredity, Genetic Epidemiology, Scientific Reports and Journal of Experimental Child Psychology.

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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