Nathalie Pavy

1.8k total citations
24 papers, 1.2k citations indexed

About

Nathalie Pavy is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Nathalie Pavy has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 16 papers in Genetics and 7 papers in Plant Science. Recurrent topics in Nathalie Pavy's work include Genetic diversity and population structure (12 papers), Genomics and Phylogenetic Studies (9 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Nathalie Pavy is often cited by papers focused on Genetic diversity and population structure (12 papers), Genomics and Phylogenetic Studies (9 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Nathalie Pavy collaborates with scholars based in Canada, France and United Kingdom. Nathalie Pavy's co-authors include Jean Bousquet, John Mackay, Nathalie Isabel, Betty Pelgas, Sylvie Blais, Janice E. K. Cooke, Pierre Rouzé, Stéphane Rombauts, Laurence Tremblay and Caroline Levasseur and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and New Phytologist.

In The Last Decade

Nathalie Pavy

24 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathalie Pavy Canada 19 767 595 373 166 108 24 1.2k
Daniel Verhaegen France 17 519 0.7× 526 0.9× 341 0.9× 172 1.0× 107 1.0× 32 1.0k
Carol A. Loopstra United States 18 478 0.6× 460 0.8× 201 0.5× 144 0.9× 31 0.3× 28 815
Orzenil B. Silva‐Junior Brazil 22 408 0.5× 808 1.4× 558 1.5× 249 1.5× 46 0.4× 39 1.4k
Sébastien Caron Canada 13 517 0.7× 428 0.7× 131 0.4× 92 0.6× 53 0.5× 25 778
Christopher Dervinis United States 23 628 0.8× 989 1.7× 208 0.6× 73 0.4× 62 0.6× 36 1.4k
Bala R. Thumma Australia 15 314 0.4× 531 0.9× 305 0.8× 184 1.1× 55 0.5× 19 883
Gerd Bossinger Australia 20 946 1.2× 1.0k 1.7× 187 0.5× 110 0.7× 43 0.4× 51 1.4k
Gavin F. Moran Australia 12 347 0.5× 380 0.6× 189 0.5× 146 0.9× 58 0.5× 15 720
M. E. Devey United States 19 554 0.7× 693 1.2× 557 1.5× 164 1.0× 21 0.2× 27 1.2k
David Macaya‐Sanz United States 16 235 0.3× 334 0.6× 282 0.8× 65 0.4× 71 0.7× 31 701

Countries citing papers authored by Nathalie Pavy

Since Specialization
Citations

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

Fields of papers citing papers by Nathalie Pavy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathalie Pavy

This figure shows the co-authorship network connecting the top 25 collaborators of Nathalie Pavy. A scholar is included among the top collaborators of Nathalie Pavy 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 Nathalie Pavy. Nathalie Pavy 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.
Pavy, Nathalie, Sébastien Gérardi, Julien Prunier, et al.. (2025). Contrasting levels of transcriptome-wide SNP diversity and adaptive molecular variation among conifers. Frontiers in Plant Science. 16. 1500759–1500759. 1 indexed citations
2.
Coombe, Lauren, Kristina Gagalova, René L. Warren, et al.. (2023). Assembly and annotation of the black spruce genome provide insights on spruce phylogeny and evolution of stress response. G3 Genes Genomes Genetics. 14(1). 4 indexed citations
3.
Azaiez, Aïda, Nathalie Pavy, Sébastien Gérardi, et al.. (2018). A catalog of annotated high-confidence SNPs from exome capture and sequencing reveals highly polymorphic genes in Norway spruce (Picea abies). BMC Genomics. 19(1). 942–942. 21 indexed citations
4.
Pavy, Nathalie, et al.. (2015). Genetic Adaptation to Climate in White Spruce Involves Small to Moderate Allele Frequency Shifts in Functionally Diverse Genes. Genome Biology and Evolution. 7(12). 3269–3285. 35 indexed citations
5.
Pavy, Nathalie, France Gagnon, Philippe Rigault, et al.. (2013). Development of high‐density SNP genotyping arrays for white spruce (Picea glauca) and transferability to subtropical and nordic congeners. Molecular Ecology Resources. 13(2). 324–336. 69 indexed citations
6.
Pavy, Nathalie, Astrid Deschênes, Sylvie Blais, et al.. (2013). The Landscape of Nucleotide Polymorphism among 13,500 Genes of the Conifer Picea glauca, Relationships with Functions, and Comparison with Medicago truncatula. Genome Biology and Evolution. 5(10). 1910–1925. 20 indexed citations
7.
Pavy, Nathalie, Betty Pelgas, Jérôme Laroche, et al.. (2012). A spruce gene map infers ancient plant genome reshuffling and subsequent slow evolution in the gymnosperm lineage leading to extant conifers. BMC Biology. 10(1). 84–84. 76 indexed citations
8.
Mackay, John, Jeffrey F. D. Dean, Christophe Plomion, et al.. (2012). Towards decoding the conifer giga-genome. Plant Molecular Biology. 80(6). 555–569. 73 indexed citations
9.
Pavy, Nathalie, et al.. (2011). The heterogeneous levels of linkage disequilibrium in white spruce genes and comparative analysis with other conifers. Heredity. 108(3). 273–284. 54 indexed citations
10.
Legay, Sylvain, Pierre Sivadon, Anne‐Sophie Blervacq, et al.. (2010). EgMYB1, an R2R3 MYB transcription factor from eucalyptus negatively regulates secondary cell wall formation inArabidopsisand poplar. New Phytologist. 188(3). 774–786. 160 indexed citations
11.
Pitre, Frédéric E., Nathalie Pavy, S. Caron, et al.. (2010). High nitrogen fertilization and stem leaning have overlapping effects on wood formation in poplar but invoke largely distinct molecular pathways. Tree Physiology. 30(10). 1273–1289. 50 indexed citations
12.
Pavy, Nathalie, Brian Boyle, Colleen C. Nelson, et al.. (2008). Identification of conserved core xylem gene sets: conifer cDNA microarray development, transcript profiling and computational analyses. New Phytologist. 180(4). 766–786. 83 indexed citations
13.
Pavy, Nathalie, Betty Pelgas, Stéphanie Beauseigle, et al.. (2008). Enhancing genetic mapping of complex genomes through the design of highly-multiplexed SNP arrays: application to the large and unsequenced genomes of white spruce and black spruce. BMC Genomics. 9(1). 21–21. 103 indexed citations
14.
Pavy, Nathalie, et al.. (2006). ForestTreeDB: a database dedicated to the mining of tree transcriptomes. Nucleic Acids Research. 35(Database). D888–D894. 18 indexed citations
15.
16.
Pavy, Nathalie, et al.. (2005). Large-scale statistical analysis of secondary xylem ESTs in pine. Plant Molecular Biology. 57(2). 203–224. 38 indexed citations
17.
Mathé, Catherine, Patrice Déhais, Nathalie Pavy, et al.. (2000). Gene prediction and gene classes in Arabidopsis thaliana. Journal of Biotechnology. 78(3). 293–299. 7 indexed citations
18.
Pavy, Nathalie, Stéphane Rombauts, Patrice Déhais, et al.. (1999). Evaluation of gene prediction software using a genomic data set: application to Arabidopsis thalianasequences. Bioinformatics. 15(11). 887–899. 75 indexed citations
19.
Rouzé, Pierre, Nathalie Pavy, & Stéphane Rombauts. (1999). Genome annotation: which tools do we have for it?. Current Opinion in Plant Biology. 2(2). 90–95. 41 indexed citations
20.
Pavy, Nathalie, et al.. (1998). Variability in six pea gene sequences and mapping through PCR-based markers. Agronomie. 18(3). 209–224. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Daniel Verhaegen Breakdown of academic impact, for papers by Carol A. Loopstra Breakdown of academic impact, for papers by Orzenil B. Silva‐Junior Breakdown of academic impact, for papers by Sébastien Caron Breakdown of academic impact, for papers by Christopher Dervinis Breakdown of academic impact, for papers by Bala R. Thumma Breakdown of academic impact, for papers by Gerd Bossinger Breakdown of academic impact, for papers by Gavin F. Moran Breakdown of academic impact, for papers by M. E. Devey Breakdown of academic impact, for papers by David Macaya‐Sanz
Rankless by CCL
2026