Audrey Bihouée

894 total citations
10 papers, 343 citations indexed

About

Audrey Bihouée is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Ecology. According to data from OpenAlex, Audrey Bihouée has authored 10 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Ecology. Recurrent topics in Audrey Bihouée's work include Genomics and Phylogenetic Studies (4 papers), Microbial Community Ecology and Physiology (2 papers) and Muscle Physiology and Disorders (2 papers). Audrey Bihouée is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Microbial Community Ecology and Physiology (2 papers) and Muscle Physiology and Disorders (2 papers). Audrey Bihouée collaborates with scholars based in France, Chile and Canada. Audrey Bihouée's co-authors include Rémi Houlgatte, Raluca Teusan, Omar Guzmán‐Quevedo, Sandra Lopes de Souza, Raul Manhães‐de‐Castro, Rhowena Jane Barbosa de Matos, Ricardo Orozco-Solís, Francisco Bolaños‐Jiménez, Jean Léger and Marja Steenman and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Virology.

In The Last Decade

Audrey Bihouée

10 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Audrey Bihouée France 9 148 85 79 54 28 10 343
Kathrin Hartung Germany 5 216 1.5× 43 0.5× 49 0.6× 14 0.3× 62 2.2× 6 412
Frank Nunes Germany 12 146 1.0× 54 0.6× 39 0.5× 8 0.1× 18 0.6× 16 371
J.P. Sanders Netherlands 11 284 1.9× 48 0.6× 93 1.2× 71 1.3× 30 1.1× 17 754
Barzan Bahrami Kamangar Iran 8 65 0.4× 36 0.4× 64 0.8× 15 0.3× 7 0.3× 17 377
Marissa A. Holmbeck United States 10 381 2.6× 101 1.2× 87 1.1× 16 0.3× 20 0.7× 10 619
Martí Boleda Spain 10 293 2.0× 35 0.4× 52 0.7× 39 0.7× 59 2.1× 13 560
Ilya Mazunin Russia 13 351 2.4× 64 0.8× 23 0.3× 60 1.1× 18 0.6× 50 707
Yuki Yamauchi Japan 9 135 0.9× 50 0.6× 33 0.4× 24 0.4× 25 0.9× 27 330
Karine Robert France 11 106 0.7× 56 0.7× 86 1.1× 31 0.6× 20 0.7× 15 602

Countries citing papers authored by Audrey Bihouée

Since Specialization
Citations

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

Fields of papers citing papers by Audrey Bihouée

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Audrey Bihouée

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

All Works

10 of 10 papers shown
1.
Bihouée, Audrey, et al.. (2022). MAGNETO: An Automated Workflow for Genome-Resolved Metagenomics. mSystems. 7(4). e0043222–e0043222. 12 indexed citations
2.
Steenman, Marja, Jacques Lebreton, Audrey Bihouée, et al.. (2020). Gap-134, a Connexin43 activator, prevents age-related development of ventricular fibrosis in Scn5a− mice. Pharmacological Research. 159. 104922–104922. 11 indexed citations
3.
Mandaković, Dinka, Claudia Rojas, Jonathan Maldonado, et al.. (2018). Structure and co-occurrence patterns in microbial communities under acute environmental stress reveal ecological factors fostering resilience. Scientific Reports. 8(1). 5875–5875. 118 indexed citations
4.
Colman, Hélène Loe, Catherine Le Berre‐Scoul, Céline Hernandez, et al.. (2013). Genome-Wide Analysis of Host mRNA Translation during Hepatitis C Virus Infection. Journal of Virology. 87(12). 6668–6677. 19 indexed citations
5.
Barón, Daniel, Emeric Dubois, Audrey Bihouée, et al.. (2011). Meta-analysis of muscle transcriptome data using the MADMuscle database reveals biologically relevant gene patterns. BMC Genomics. 12(1). 113–113. 18 indexed citations
6.
Barón, Daniel, Audrey Bihouée, Raluca Teusan, et al.. (2011). MADGene: retrieval and processing of gene identifier lists for the analysis of heterogeneous microarray datasets. Bioinformatics. 27(5). 725–726. 33 indexed citations
7.
Orozco-Solís, Ricardo, Rhowena Jane Barbosa de Matos, Omar Guzmán‐Quevedo, et al.. (2010). Nutritional Programming in the Rat Is Linked to Long-Lasting Changes in Nutrient Sensing and Energy Homeostasis in the Hypothalamus. PLoS ONE. 5(10). e13537–e13537. 65 indexed citations
8.
Lamirault, Guillaume, Nolwenn Le Meur, Jean‐Christian Roussel, et al.. (2009). Molecular risk stratification in advanced heart failure patients. Journal of Cellular and Molecular Medicine. 14(6b). 1443–1452. 10 indexed citations
9.
Chopard, Angèle, Richard Danger, Guillaume Lamirault, et al.. (2009). Large-scale mRNA analysis of female skeletal muscles during 60 days of bed rest with and without exercise or dietary protein supplementation as countermeasures. Physiological Genomics. 38(3). 291–302. 51 indexed citations
10.
Béchec, Antony Le, Thomas Sierocinski, Dimitri Petritis, et al.. (2008). M@IA: A Modular Open-Source Application for Microarray Workflow and Integrative Datamining. In Silico Biology. 8(1). 63–69. 6 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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