Samuel Mathieu

438 total citations
10 papers, 290 citations indexed

About

Samuel Mathieu is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Samuel Mathieu has authored 10 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Immunology. Recurrent topics in Samuel Mathieu's work include RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers) and Microtubule and mitosis dynamics (3 papers). Samuel Mathieu is often cited by papers focused on RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers) and Microtubule and mitosis dynamics (3 papers). Samuel Mathieu collaborates with scholars based in Canada, France and United States. Samuel Mathieu's co-authors include Jean‐Baptiste Manneville, Nico Mitro, Patrizia Romani, Giulia Santinon, Sirio Dupont, Arianna Pocaterra, Silvio Bicciato, Mattia Forcato, Matteo Audano and Silvia Pedretti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nano Letters and Nature Cell Biology.

In The Last Decade

Samuel Mathieu

8 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samuel Mathieu Canada	7	128	112	51	41	35	10	290
Ine Vandersmissen Belgium	7	65 0.5×	176 1.6×	40 0.8×	48 1.2×	37 1.1×	7	330
Franziska Lausecker United Kingdom	7	62 0.5×	106 0.9×	41 0.8×	18 0.4×	53 1.5×	8	284
Pasquale Cervero Germany	8	146 1.1×	152 1.4×	15 0.3×	40 1.0×	57 1.6×	11	359
Zachary E. Goldblatt United States	6	184 1.4×	115 1.0×	133 2.6×	62 1.5×	23 0.7×	7	360
Jennifer Axnick Germany	6	95 0.7×	186 1.7×	38 0.7×	21 0.5×	16 0.5×	7	323
Dan Tse United States	9	75 0.6×	184 1.6×	28 0.5×	52 1.3×	35 1.0×	16	321
Julie Yi-Shuan Li United States	6	101 0.8×	213 1.9×	17 0.3×	58 1.4×	32 0.9×	8	351
Carolina F.M.Z. Clemente Brazil	10	98 0.8×	238 2.1×	20 0.4×	42 1.0×	25 0.7×	14	370
Louise Conrard Belgium	8	58 0.5×	203 1.8×	43 0.8×	44 1.1×	98 2.8×	14	316
Leike Xie United States	12	125 1.0×	252 2.3×	12 0.2×	37 0.9×	32 0.9×	22	339

Countries citing papers authored by Samuel Mathieu

Since Specialization

Citations

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

Fields of papers citing papers by Samuel Mathieu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Mathieu

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

All Works

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10 of 10 papers shown

Rufiange, Anne, et al.. (2023). Connectome and regulatory hubs of CAGE highly active enhancers. Scientific Reports. 13(1). 5594–5594.

Labbé, Pauline, Nathalie Thorin‐Trescases, Louis Villeneuve, et al.. (2022). Angiopoietin-like 2 is essential to aortic valve development in mice. Communications Biology. 5(1). 1277–1277. 7 indexed citations

Chignon, Arnaud, Samuel Mathieu, Anne Rufiange, et al.. (2022). Enhancer promoter interactome and Mendelian randomization identify network of druggable vascular genes in coronary artery disease. Human Genomics. 16(1). 8–8. 6 indexed citations

Mathieu, Samuel, et al.. (2022). Mendelian randomization of circulating proteome identifies actionable targets in heart failure. BMC Genomics. 23(1). 588–588. 9 indexed citations

Mathieu, Samuel, Erik Abner, Christian Couture, et al.. (2022). Genetic association and Mendelian randomization for hypothyroidism highlight immune molecular mechanisms. iScience. 25(9). 104992–104992. 11 indexed citations

Mathieu, Samuel, Christian Couture, Zhonglin Li, et al.. (2021). Genetic Association and Mendelian Randomization for Hypothyroidism Highlight Immune Molecular Mechanisms. SSRN Electronic Journal.

Lagoutte, Emilie, Ludmilla de Plater, Samuel Mathieu, et al.. (2019). aPKCi triggers basal extrusion of luminal mammary epithelial cells by tuning contractility and vinculin localization at cell junctions. Proceedings of the National Academy of Sciences. 116(48). 24108–24114. 18 indexed citations

Romani, Patrizia, Giulia Santinon, Arianna Pocaterra, et al.. (2019). Extracellular matrix mechanical cues regulate lipid metabolism through Lipin-1 and SREBP. Nature Cell Biology. 21(3). 338–347. 157 indexed citations

Mandal, Kalpana, Katarzyna Pogoda, Satabdi Nandi, et al.. (2019). Role of a Kinesin Motor in Cancer Cell Mechanics. Nano Letters. 19(11). 7691–7702. 36 indexed citations

10.

Mathieu, Samuel & Jean‐Baptiste Manneville. (2018). Intracellular mechanics: connecting rheology and mechanotransduction. Current Opinion in Cell Biology. 56. 34–44. 46 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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