Fanny Perraudeau

1.5k total citations · 1 hit paper
8 papers, 737 citations indexed

About

Fanny Perraudeau is a scholar working on Molecular Biology, Food Science and Plant Science. According to data from OpenAlex, Fanny Perraudeau has authored 8 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Food Science and 2 papers in Plant Science. Recurrent topics in Fanny Perraudeau's work include Extracellular vesicles in disease (2 papers), Single-cell and spatial transcriptomics (2 papers) and Gut microbiota and health (2 papers). Fanny Perraudeau is often cited by papers focused on Extracellular vesicles in disease (2 papers), Single-cell and spatial transcriptomics (2 papers) and Gut microbiota and health (2 papers). Fanny Perraudeau collaborates with scholars based in United States, France and Belgium. Fanny Perraudeau's co-authors include Sandrine Dudoit, Davide Risso, Jean‐Philippe Vert, Svetlana Gribkova, Michael I. Love, Koen Van den Berge, Mark D. Robinson, Lieven Clement, Charlotte Soneson and Pierre Gladieux and has published in prestigious journals such as Nature Communications, Bioinformatics and Genome biology.

In The Last Decade

Fanny Perraudeau

8 papers receiving 732 citations

Hit Papers

A general and flexible method for signal extraction from ... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fanny Perraudeau United States 6 618 164 72 72 61 8 737
Hongyu Zhao China 13 499 0.8× 96 0.6× 34 0.5× 9 0.1× 78 1.3× 42 764
Daniel Osorio United States 13 527 0.9× 68 0.4× 28 0.4× 13 0.2× 112 1.8× 30 748
Adam McDermaid United States 11 465 0.8× 87 0.5× 12 0.2× 31 0.4× 52 0.9× 16 655
Zohar Meir Israel 10 397 0.6× 100 0.6× 8 0.1× 31 0.4× 50 0.8× 15 560
Masoud Toloue United States 11 742 1.2× 221 1.3× 39 0.5× 5 0.1× 57 0.9× 17 977
Lieng Taing France 6 360 0.6× 38 0.2× 22 0.3× 9 0.1× 38 0.6× 8 581
Pedro Furió‐Tarí Spain 7 561 0.9× 184 1.1× 28 0.4× 5 0.1× 63 1.0× 7 834
Zhanzhi Hu United States 9 697 1.1× 41 0.3× 64 0.9× 8 0.1× 20 0.3× 12 853
Yujia Sun China 17 838 1.4× 405 2.5× 64 0.9× 7 0.1× 25 0.4× 53 1.1k

Countries citing papers authored by Fanny Perraudeau

Since Specialization
Citations

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

Fields of papers citing papers by Fanny Perraudeau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanny Perraudeau

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

All Works

8 of 8 papers shown
1.
Bézieux, Hector Roux de, Leandro Lima, Fanny Perraudeau, et al.. (2022). CALDERA: finding all significant de Bruijn subgraphs for bacterial GWAS. Bioinformatics. 38(Supplement_1). i36–i44. 5 indexed citations
2.
Bézieux, Hector Roux de, et al.. (2021). Medical Food Assessment Using a Smartphone App With Continuous Glucose Monitoring Sensors: Proof-of-Concept Study. JMIR Formative Research. 5(3). e20175–e20175. 3 indexed citations
3.
Sieber, Christian M. K., et al.. (2021). FiberGrowth Pipeline: A Framework Toward Predicting Fiber-Specific Growth From Human Gut Bacteroidetes Genomes. Frontiers in Microbiology. 12. 632567–632567. 2 indexed citations
4.
Perraudeau, Fanny, Paul J. McMurdie, Colleen Cutcliffe, et al.. (2020). Improvements to postprandial glucose control in subjects with type 2 diabetes: a multicenter, double blind, randomized placebo-controlled trial of a novel probiotic formulation. BMJ Open Diabetes Research & Care. 8(1). e001319–e001319. 123 indexed citations
5.
Risso, Davide, Fanny Perraudeau, Svetlana Gribkova, Sandrine Dudoit, & Jean‐Philippe Vert. (2018). A general and flexible method for signal extraction from single-cell RNA-seq data. Nature Communications. 9(1). 284–284. 402 indexed citations breakdown →
6.
Berge, Koen Van den, Fanny Perraudeau, Charlotte Soneson, et al.. (2018). Observation weights unlock bulk RNA-seq tools for zero inflation and single-cell applications. Genome biology. 19(1). 24–24. 140 indexed citations
7.
Zhao, Jiuhai, et al.. (2015). Identification of Allorecognition Loci inNeurospora crassaby Genomics and Evolutionary Approaches. Molecular Biology and Evolution. 32(9). 2417–2432. 37 indexed citations
8.
Gladieux, Pierre, Benjamin A. Wilson, Fanny Perraudeau, et al.. (2015). Genomic sequencing reveals historical, demographic and selective factors associated with the diversification of the fire‐associated fungusNeurospora discreta. Molecular Ecology. 24(22). 5657–5675. 25 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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