Laëtitia Lagoutte

1.5k total citations
19 papers, 370 citations indexed

About

Laëtitia Lagoutte is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Laëtitia Lagoutte has authored 19 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Laëtitia Lagoutte's work include Cancer-related molecular mechanisms research (4 papers), RNA Research and Splicing (4 papers) and Genetic and phenotypic traits in livestock (3 papers). Laëtitia Lagoutte is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), RNA Research and Splicing (4 papers) and Genetic and phenotypic traits in livestock (3 papers). Laëtitia Lagoutte collaborates with scholars based in France, United States and Sweden. Laëtitia Lagoutte's co-authors include Sandrine Lagarrigue, Morgane Boutin, Kévin Muret, Colette Désert, Tatiana Zerjal, Florence Gondret, Catherine André, Christophe Hitte, Nadine Botherel and Yves Malthièry and has published in prestigious journals such as PLoS ONE, Scientific Reports and Experimental Cell Research.

In The Last Decade

Laëtitia Lagoutte

18 papers receiving 363 citations

Peers

Laëtitia Lagoutte
Katie Podshivalova United States
Ana María Rosales‐Torres Mexico
Bryan Höglund United States
Takatoshi Kojima Japan
Francisco M. De La Vega United States
Mihaela Kreutzer Germany
Katherine M. Siewert United States
P. A. Sargent Canada
Yuan Mang Denmark
Didier Goidin France
Katie Podshivalova United States
Laëtitia Lagoutte
Citations per year, relative to Laëtitia Lagoutte Laëtitia Lagoutte (= 1×) peers Katie Podshivalova

Countries citing papers authored by Laëtitia Lagoutte

Since Specialization
Citations

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

Fields of papers citing papers by Laëtitia Lagoutte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laëtitia Lagoutte

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

All Works

19 of 19 papers shown
1.
Charles, Mathieu, Sylvain Foissac, Dailu Guan, et al.. (2024). Enriched atlas of lncRNA and protein-coding genes for the GRCg7b chicken assembly and its functional annotation across 47 tissues. Scientific Reports. 14(1). 6588–6588. 8 indexed citations
2.
Lagarrigue, Sandrine, et al.. (2024). Variant calling and genotyping accuracy of ddRAD-seq: Comparison with 20X WGS in layers. PLoS ONE. 19(7). e0298565–e0298565. 8 indexed citations
3.
Herault, Frédéric, Frédéric Lecerf, Laëtitia Lagoutte, et al.. (2023). Restriction site-associated DNA sequencing technologies as an alternative to low-density SNP chips for genomic selection: a simulation study in layer chickens. BMC Genomics. 24(1). 271–271. 6 indexed citations
4.
André, Catherine, Nadine Botherel, Édouard Cadieu, et al.. (2022). Cani-DNA, un CRB qui a du chien ! Réseau de collecte de prélèvements de chiens par les vétérinaires pour la recherche biomédicale et la diversité génétique. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
5.
Muret, Kévin, Maria Bernard, Morgane Boutin, et al.. (2021). Author Correction: An integrative atlas of chicken long non-coding genes and their annotations across 25 tissues. Scientific Reports. 11(1). 9463–9463.
6.
Muret, Kévin, Maria Bernard, Frédéric Lecerf, et al.. (2021). Watch Out for a Second SNP: Focus on Multi-Nucleotide Variants in Coding Regions and Rescued Stop-Gained. Frontiers in Genetics. 12. 659287–659287. 2 indexed citations
7.
Muret, Kévin, Maria Bernard, Morgane Boutin, et al.. (2020). An integrative atlas of chicken long non-coding genes and their annotations across 25 tissues. Scientific Reports. 10(1). 20457–20457. 15 indexed citations
8.
Désert, Colette, Christophe Klopp, Andréa Rau, et al.. (2019). Chicken adaptive response to low energy diet: main role of the hypothalamic lipid metabolism revealed by a phenotypic and multi-tissue transcriptomic approach. BMC Genomics. 20(1). 1033–1033. 12 indexed citations
9.
Hamel, Christian, Laëtitia Lagoutte, Gaël Manès, et al.. (2019). Natural models for retinitis pigmentosa: progressive retinal atrophy in dog breeds. Human Genetics. 138(5). 441–453. 33 indexed citations
10.
Muret, Kévin, Colette Désert, Laëtitia Lagoutte, et al.. (2019). Long noncoding RNAs in lipid metabolism: literature review and conservation analysis across species. BMC Genomics. 20(1). 882–882. 65 indexed citations
11.
Correard, Solenne, Jocelyn Plassais, Laëtitia Lagoutte, et al.. (2019). Canine neuropathies: powerful spontaneous models for human hereditary sensory neuropathies. Human Genetics. 138(5). 455–466. 12 indexed citations
12.
Béguec, Céline Le, Valentin Wucher, Laëtitia Lagoutte, et al.. (2018). Characterisation and functional predictions of canine long non-coding RNAs. Scientific Reports. 8(1). 13444–13444. 31 indexed citations
13.
Correard, Solenne, Jocelyn Plassais, Laëtitia Lagoutte, et al.. (2016). A spontaneous dog model for a human sensory neuropathy: identification of a mutation in the upstream region of a neurotrophic factor. Bulletin de l Académie vétérinaire de France. 169(3). 190–194. 3 indexed citations
14.
Ollivier, Morgane, Anne Tresset, Fabiola Bastián, et al.. (2016). Amy2Bcopy number variation reveals starch diet adaptations in ancient European dogs. Royal Society Open Science. 3(11). 160449–160449. 42 indexed citations
15.
Ollivier, Morgane, Anne Tresset, Christophe Hitte, et al.. (2013). Evidence of Coat Color Variation Sheds New Light on Ancient Canids. PLoS ONE. 8(10). e75110–e75110. 29 indexed citations
16.
Brouard, Sophie, Alexandre Dufay, Yohann Foucher, et al.. (2011). Identification of a gene expression profile associated with operational tolerance among a selected group of stable kidney transplant patients. Transplant International. 24(6). 536–547. 36 indexed citations
17.
Rincón, Gonzalo, Katarina Tengvall, Janelle M. Belanger, et al.. (2011). Comparison of buccal and blood-derived canine DNA, either native or whole genome amplified, for array-based genome-wide association studies. BMC Research Notes. 4(1). 226–226. 17 indexed citations
18.
Lagoutte, Laëtitia, Jean‐François Dumas, Benoı̂t Sion, et al.. (2007). Adenine nucleotide translocator promotes oxidative phosphorylation and mild uncoupling in mitochondria after dexamethasone treatment. American Journal of Physiology-Endocrinology and Metabolism. 293(5). E1320–E1324. 36 indexed citations
19.
Jacques, Caroline, Arnaud Chevrollier, Dominique Loiseau, et al.. (2006). mtDNA controls expression of the Death Associated Protein 3. Experimental Cell Research. 312(6). 737–745. 14 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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