Émilie Villar

1.6k total citations
9 papers, 360 citations indexed

About

Émilie Villar is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Émilie Villar has authored 9 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Ecology and 5 papers in Plant Science. Recurrent topics in Émilie Villar's work include Microbial Community Ecology and Physiology (3 papers), Genomics and Phylogenetic Studies (3 papers) and Plant Gene Expression Analysis (2 papers). Émilie Villar is often cited by papers focused on Microbial Community Ecology and Physiology (3 papers), Genomics and Phylogenetic Studies (3 papers) and Plant Gene Expression Analysis (2 papers). Émilie Villar collaborates with scholars based in France, United States and Chile. Émilie Villar's co-authors include Lars‐Éric Heimbürger‐Boavida, Léa Cabrol, Christophe Plomion, Magali Lescot, Pascal Hingamp, Shinichi Sunagawa, Éric Pelletier, Thomas Vannier, Miguelangel Cuenca and Jean‐Marc Gion and has published in prestigious journals such as Nucleic Acids Research, The Plant Journal and Plant Cell & Environment.

In The Last Decade

Émilie Villar

9 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Émilie Villar France 8 159 135 117 88 49 9 360
И. И. Руднева Russia 8 99 0.6× 51 0.4× 34 0.3× 161 1.8× 30 0.6× 45 372
Yu Zang China 11 107 0.7× 97 0.7× 99 0.8× 21 0.2× 29 0.6× 40 333
Rigers Bakiu Albania 14 129 0.8× 164 1.2× 18 0.2× 240 2.7× 56 1.1× 46 531
Sajjad Pourmozaffar Iran 9 81 0.5× 49 0.4× 30 0.3× 43 0.5× 126 2.6× 20 411
Britt Cordi United Kingdom 6 90 0.6× 95 0.7× 138 1.2× 110 1.3× 19 0.4× 7 395
Ana Marques Portugal 13 73 0.5× 29 0.2× 67 0.6× 172 2.0× 58 1.2× 31 375
Sharon Maggard United States 7 54 0.3× 39 0.3× 165 1.4× 62 0.7× 21 0.4× 9 305
Ying Xue-ping China 10 95 0.6× 81 0.6× 24 0.2× 195 2.2× 45 0.9× 20 432
Vicente I. Deltoro Spain 14 80 0.5× 79 0.6× 295 2.5× 17 0.2× 41 0.8× 23 592
Richard A. Smucker United States 12 77 0.5× 96 0.7× 31 0.3× 56 0.6× 75 1.5× 23 307

Countries citing papers authored by Émilie Villar

Since Specialization
Citations

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

Fields of papers citing papers by Émilie Villar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Émilie Villar

This figure shows the co-authorship network connecting the top 25 collaborators of Émilie Villar. A scholar is included among the top collaborators of Émilie Villar 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 Émilie Villar. Émilie Villar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Villar, Émilie, Pierre Vincens, Helena Cruz de Carvalho, et al.. (2025). DiatOmicBase : a versatile gene‐centered platform for mining functional omics data in diatom research. The Plant Journal. 121(6). e70061–e70061. 2 indexed citations
2.
Villar, Émilie, Léa Cabrol, & Lars‐Éric Heimbürger‐Boavida. (2020). Widespread microbial mercury methylation genes in the global ocean. Environmental Microbiology Reports. 12(3). 277–287. 88 indexed citations
3.
Villar, Émilie, Estelle Bigeard, Miguel Méndez Sandín, et al.. (2018). Symbiont Chloroplasts Remain Active During Bleaching-Like Response Induced by Thermal Stress in Collozoum pelagicum (Collodaria, Retaria). Frontiers in Marine Science. 5. 13 indexed citations
4.
Villar, Émilie, Thomas Vannier, Magali Lescot, et al.. (2018). The Ocean Gene Atlas: exploring the biogeography of plankton genes online. Nucleic Acids Research. 46(W1). W289–W295. 107 indexed citations
5.
Lescot, Magali, Pascal Hingamp, Kenji K. Kojima, et al.. (2015). Reverse transcriptase genes are highly abundant and transcriptionally active in marine plankton assemblages. The ISME Journal. 10(5). 1134–1146. 18 indexed citations
6.
Lefeuvre, Pierre, Émilie Villar, Murielle Hoareau, et al.. (2012). East African cassava mosaic-like viruses from Africa to Indian ocean islands: molecular diversity, evolutionary history and geographical dissemination of a bipartite begomovirus. BMC Evolutionary Biology. 12(1). 228–228. 36 indexed citations
7.
Bedon, Frank, Émilie Villar, Delphine Vincent, et al.. (2011). Proteomic plasticity of two Eucalyptus genotypes under contrasted water regimes in the field. Plant Cell & Environment. 35(4). 790–805. 24 indexed citations
8.
Hein, Paulo Ricardo Gherardi, et al.. (2011). A candidate gene for lignin composition in Eucalyptus: cinnamoyl-CoA reductase (CCR). Tree Genetics & Genomes. 8(2). 353–364. 15 indexed citations
9.
Villar, Émilie, Christophe Klopp, Céline Noirot, et al.. (2011). RNA-Seq reveals genotype-specific molecular responses to water deficit in eucalyptus. BMC Genomics. 12(1). 538–538. 57 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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