Laetitia Cobret

625 total citations
9 papers, 436 citations indexed

About

Laetitia Cobret is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Laetitia Cobret has authored 9 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Laetitia Cobret's work include Receptor Mechanisms and Signaling (2 papers), Cell Adhesion Molecules Research (2 papers) and Neuropeptides and Animal Physiology (2 papers). Laetitia Cobret is often cited by papers focused on Receptor Mechanisms and Signaling (2 papers), Cell Adhesion Molecules Research (2 papers) and Neuropeptides and Animal Physiology (2 papers). Laetitia Cobret collaborates with scholars based in France, Poland and Martinique. Laetitia Cobret's co-authors include Céline Garcia, Sophie De Decker, Maeva Robert, Denis Saulnier, Philippe Haffner, Claire Jumeau, Gilles Grateau, Fawaz Awad, Eman Assrawi and Philippe Duquesnoy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The FASEB Journal.

In The Last Decade

Laetitia Cobret

8 papers receiving 433 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Laetitia Cobret	195	191	72	61	45	9	436
Leilei Wang	241 1.2×	181 0.9×	17 0.2×	6 0.1×	28 0.6×	29	601
Xiuli Wang	337 1.7×	62 0.3×	26 0.4×	6 0.1×	11 0.2×	35	544
Christina Lange	110 0.6×	77 0.4×	19 0.3×	8 0.1×	19 0.4×	12	426
Troy Auffenberg	162 0.8×	162 0.8×	20 0.3×	25 0.4×	17 0.4×	17	489
Yashoda Ghanekar	219 1.1×	59 0.3×	29 0.4×	28 0.5×	17 0.4×	16	410
M. Joaquina Delás	420 2.2×	26 0.1×	35 0.5×	12 0.2×	15 0.3×	12	539
Jingjing Jiang	113 0.6×	68 0.4×	24 0.3×	3 0.0×	8 0.2×	19	337
Jie Wei	236 1.2×	68 0.4×	8 0.1×	9 0.1×	11 0.2×	27	476
B J McLaughlin	251 1.3×	108 0.6×	8 0.1×	12 0.2×	48 1.1×	23	578
Esther Morel	83 0.4×	485 2.5×	9 0.1×	12 0.2×	6 0.1×	39	783

Countries citing papers authored by Laetitia Cobret

Since Specialization

Citations

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

Fields of papers citing papers by Laetitia Cobret

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laetitia Cobret

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

All Works

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9 of 9 papers shown

Cruz-Gamero, J. M., Chun-Lei Zhang, Laetitia Cobret, et al.. (2024). Missense mutation in the activation segment of the kinase CK2 models Okur-Chung neurodevelopmental disorder and alters the hippocampal glutamatergic synapse. Molecular Psychiatry. 30(4). 1497–1509.

Cobret, Laetitia, et al.. (2021). BRET Analysis of GPCR Dimers in Neurons and Non-Neuronal Cells: Evidence for Inactive, Agonist, and Constitutive Conformations. International Journal of Molecular Sciences. 22(19). 10638–10638. 8 indexed citations

Cobret, Laetitia, Wanyin Chen, Flora Reverchon, et al.. (2020). LINGO family receptors are differentially expressed in the mouse brain and form native multimeric complexes. The FASEB Journal. 34(10). 13641–13653. 7 indexed citations

Assrawi, Eman, Camille Louvrier, C. Lepelletier, et al.. (2019). Somatic Mosaic NLRP3 Mutations and Inflammasome Activation in Late-Onset Chronic Urticaria. Journal of Investigative Dermatology. 140(4). 791–798.e2. 21 indexed citations

Jumeau, Claire, Fawaz Awad, Eman Assrawi, et al.. (2019). Expression of SAA1, SAA2 and SAA4 genes in human primary monocytes and monocyte-derived macrophages. PLoS ONE. 14(5). e0217005–e0217005. 46 indexed citations

Awad, Fawaz, Eman Assrawi, Claire Jumeau, et al.. (2017). Impact of human monocyte and macrophage polarization on NLR expression and NLRP3 inflammasome activation. PLoS ONE. 12(4). e0175336–e0175336. 145 indexed citations

Chaumont‐Dubel, Séverine, Laetitia Cobret, Paweł Zajdel, et al.. (2016). Physical interaction between neurofibromin and serotonin 5-HT₆receptor promotes receptor constitutive activity. Proceedings of the National Academy of Sciences. 113(43). 12310–12315. 70 indexed citations

Cobret, Laetitia, Julien Ferent, Élisabeth Traiffort, et al.. (2014). Targeting thecis‐dimerization ofLINGO‐1 with lowMWcompounds affects its downstream signalling. British Journal of Pharmacology. 172(3). 841–856. 13 indexed citations

Saulnier, Denis, Sophie De Decker, Philippe Haffner, et al.. (2009). A Large-Scale Epidemiological Study to Identify Bacteria Pathogenic to Pacific Oyster Crassostrea gigas and Correlation Between Virulence and Metalloprotease-like Activity. Microbial Ecology. 59(4). 787–798. 126 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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