Hervé Perdry

926 total citations
48 papers, 441 citations indexed

About

Hervé Perdry is a scholar working on Genetics, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Hervé Perdry has authored 48 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 8 papers in Molecular Biology and 8 papers in Computational Theory and Mathematics. Recurrent topics in Hervé Perdry's work include Genetic Associations and Epidemiology (15 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Genomic variations and chromosomal abnormalities (8 papers). Hervé Perdry is often cited by papers focused on Genetic Associations and Epidemiology (15 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Genomic variations and chromosomal abnormalities (8 papers). Hervé Perdry collaborates with scholars based in France, United States and Germany. Hervé Perdry's co-authors include Georges Dellatolas, Emmanuelle Génin, Françoise Clerget‐Darpoux, Catherine Bonaïti‐Pellié, Valérie Bonadona, Flora Alarcon, Florence Labrell, Anne‐Louise Leutenegger, Steven Gazal and Mourad Sahbatou and has published in prestigious journals such as Scientific Reports, PLoS Genetics and BMC Bioinformatics.

In The Last Decade

Hervé Perdry

47 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hervé Perdry France 13 138 85 80 58 58 48 441
Heather L. Mulder United States 11 69 0.5× 269 3.2× 45 0.6× 71 1.2× 152 2.6× 22 630
Cecelia Laurie United States 13 178 1.3× 110 1.3× 14 0.2× 6 0.1× 23 0.4× 30 558
Mireia Vilardell Spain 12 170 1.2× 243 2.9× 56 0.7× 65 1.1× 86 1.5× 27 553
Kevin Thai United States 9 24 0.2× 185 2.2× 24 0.3× 55 0.9× 35 0.6× 18 449
Karen Lewis United Kingdom 5 187 1.4× 167 2.0× 17 0.2× 55 0.9× 23 0.4× 6 447
Katrin Horn Germany 15 186 1.3× 178 2.1× 14 0.2× 34 0.6× 44 0.8× 32 596
Robert C. Elston United States 11 554 4.0× 191 2.2× 63 0.8× 42 0.7× 35 0.6× 15 781
Yeunjoo E. Song United States 12 170 1.2× 142 1.7× 27 0.3× 8 0.1× 15 0.3× 45 529
Patrick K. Kimes United States 7 82 0.6× 207 2.4× 29 0.4× 50 0.9× 52 0.9× 10 507
Hege Bøvelstad Norway 8 96 0.7× 236 2.8× 24 0.3× 53 0.9× 83 1.4× 10 466

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-authorship network of co-authors of Hervé Perdry

This figure shows the co-authorship network connecting the top 25 collaborators of Hervé Perdry. A scholar is included among the top collaborators of Hervé Perdry 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 Hervé Perdry. Hervé Perdry 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.
Bocher, Ozvan, Thomas Ludwig, Gaëlle Marenne, et al.. (2022). Testing for association with rare variants in the coding and non-coding genome: RAVA-FIRST, a new approach based on CADD deleteriousness score. PLoS Genetics. 18(9). e1009923–e1009923. 6 indexed citations
2.
Lubin, Amélie, et al.. (2021). Do children with mathematical learning disabilities use the inversion principle to solve three-term arithmetic problems?: The impact of presentation mode. Journal of Experimental Child Psychology. 216. 105343–105343. 1 indexed citations
3.
Labrell, Florence, et al.. (2020). The Time Knowledge Questionnaire for children. Heliyon. 6(2). e03331–e03331. 11 indexed citations
4.
Nutile, Teresa, et al.. (2018). Detecting the dominance component of heritability in isolated and outbred human populations. Scientific Reports. 8(1). 18048–18048. 2 indexed citations
5.
Bellenguez, Céline, et al.. (2016). Accuracy of heritability estimations in presence of hidden population stratification. Scientific Reports. 6(1). 26471–26471. 16 indexed citations
6.
Perdry, Hervé, et al.. (2015). The Use of the Linear Mixed Model in Human Genetics. Human Heredity. 80(4). 196–206. 12 indexed citations
7.
Labrell, Florence, Yann Mikaeloff, Hervé Perdry, & Georges Dellatolas. (2015). Time knowledge acquisition in children aged 6 to 11 years and its relationship with numerical skills. Journal of Experimental Child Psychology. 143. 1–13. 22 indexed citations
8.
Perdry, Hervé, et al.. (2015). A Bagged, Partially Linear, Tree-Based Regression Procedure for Prediction and Variable Selection. Human Heredity. 79(3-4). 182–193. 5 indexed citations
9.
Perdry, Hervé, et al.. (2014). A novel tree-based procedure for deciphering the genomic spectrum of clinical disease entities. PubMed. 4(1). 6–6. 5 indexed citations
10.
Câmara‐Costa, Hugo, et al.. (2013). Emergent literacy skills, behavior problems and familial antecedents of reading difficulties: A follow-up study of reading achievement from kindergarten to fifth grade. Research in Developmental Disabilities. 34(3). 1018–1035. 23 indexed citations
11.
Gataullina, Svetlana, Georges Dellatolas, Hervé Perdry, et al.. (2012). Comorbidity and metabolic context are crucial factors determining neurological sequelae of hypoglycaemia. Developmental Medicine & Child Neurology. 54(11). 1012–1017. 18 indexed citations
12.
Génin, Emmanuelle, Mourad Sahbatou, Steven Gazal, et al.. (2012). Could Inbred Cases Identified in GWAS Data Succeed in Detecting Rare Recessive Variants Where Affected Sib-Pairs Have Failed?. Human Heredity. 74(3-4). 142–152. 5 indexed citations
13.
Babron, Marie‐Claude, Hervé Perdry, Adam E. Handel, et al.. (2011). Determination of the real effect of genes identified in GWAS: the example of IL2RA in multiple sclerosis. European Journal of Human Genetics. 20(3). 321–325. 15 indexed citations
14.
Bonaïti, Bernard, Flora Alarcon, Valérie Bonadona, et al.. (2011). Nouveau système de score pour le diagnostic des prédispositions aux cancers du sein et de l’ovaire associées à BRCA1/2. Bulletin du Cancer. 98(7). 779–795. 9 indexed citations
15.
Perdry, Hervé & Françoise Clerget‐Darpoux. (2010). Modeling the Effect of Susceptibility Factors (HLA and PTPN22) in Rheumatoid Arthritis. Methods in molecular biology. 713. 201–214. 1 indexed citations
16.
Marenne, Gaëlle, Cyril Dalmasso, Hervé Perdry, Emmanuelle Génin, & Philippe Broët. (2008). Impaired performance of FDR‐based strategies in whole‐genome association studies when SNPs are excluded prior to the analysis. Genetic Epidemiology. 33(1). 45–53. 3 indexed citations
17.
Lombardi, Henri, et al.. (2008). Elementary constructive theory of Henselian local rings. Mathematical logic quarterly. 54(3). 253–271. 2 indexed citations
18.
Bourgey, Mathieu, Hervé Perdry, & Françoise Clerget‐Darpoux. (2007). Modeling the effect of PTPN22in rheumatoid arthritis. BMC Proceedings. 1(S1). S37–S37. 10 indexed citations
19.
Alarcon, Flora, Christine Lasset, Jérôme Carayol, et al.. (2007). Estimating cancer risk in HNPCC by the GRL method. European Journal of Human Genetics. 15(8). 831–836. 50 indexed citations
20.
Perdry, Hervé. (2003). Strongly Noetherian rings and constructive ideal theory. Journal of Symbolic Computation. 37(4). 511–535. 15 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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