Emilie Payen

521 total citations
3 papers, 118 citations indexed

About

Emilie Payen is a scholar working on Molecular Biology, Cell Biology and Aging. According to data from OpenAlex, Emilie Payen has authored 3 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Cell Biology and 1 paper in Aging. Recurrent topics in Emilie Payen's work include Plant Pathogens and Fungal Diseases (1 paper), CRISPR and Genetic Engineering (1 paper) and Corrosion Behavior and Inhibition (1 paper). Emilie Payen is often cited by papers focused on Plant Pathogens and Fungal Diseases (1 paper), CRISPR and Genetic Engineering (1 paper) and Corrosion Behavior and Inhibition (1 paper). Emilie Payen collaborates with scholars based in France, United Kingdom and United States. Emilie Payen's co-authors include Odette Beluche, Claudia Caradec, Anne Friedrich, Stéfan Engelen, Sébastien Faye, Joseph Schacherer, Jean‐Marc Aury, Gianni Liti, Arnaud Lemainque and Corinne Cruaud and has published in prestigious journals such as Nature, Frontiers in Microbiology and GigaScience.

In The Last Decade

Emilie Payen

3 papers receiving 118 citations

Peers

Emilie Payen
Emilie Payen
Citations per year, relative to Emilie Payen Emilie Payen (= 1×) peers Odette Beluche

Countries citing papers authored by Emilie Payen

Since Specialization
Citations

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

Fields of papers citing papers by Emilie Payen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emilie Payen

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

All Works

3 of 3 papers shown
1.
Cruaud, Corinne, Emilie Payen, Stéfan Engelen, et al.. (2025). From genotype to phenotype with 1,086 near telomere-to-telomere yeast genomes. Nature. 648(8094). 649–658. 1 indexed citations
2.
Istace, Benjamin, Anne Friedrich, Léo d’Agata, et al.. (2017). de novo assembly and population genomic survey of natural yeast isolates with the Oxford Nanopore MinION sequencer. GigaScience. 6(2). 1–13. 105 indexed citations
3.
Tran, Tam, Sophie Mangenot, Ghislaine Magdelenat, et al.. (2017). Comparative Genome Analysis Provides Insights into Both the Lifestyle of Acidithiobacillus ferrivorans Strain CF27 and the Chimeric Nature of the Iron-Oxidizing Acidithiobacilli Genomes. Frontiers in Microbiology. 8. 1009–1009. 12 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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