Florence Maurier

600 total citations
11 papers, 458 citations indexed

About

Florence Maurier is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Florence Maurier has authored 11 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Ecology and 3 papers in Plant Science. Recurrent topics in Florence Maurier's work include RNA Research and Splicing (4 papers), Bacteriophages and microbial interactions (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Florence Maurier is often cited by papers focused on RNA Research and Splicing (4 papers), Bacteriophages and microbial interactions (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Florence Maurier collaborates with scholars based in France, Switzerland and Netherlands. Florence Maurier's co-authors include Bruno Tocqué, Fabien Schweighoffer, Fabienne Parker, Isabelle Delumeau, Marc Duchesne, Laurent Debüssche, Didier Faucher, Isabelle Barlat, Marie-Christine Multon and Alexis Groppi and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Biochemical and Biophysical Research Communications.

In The Last Decade

Florence Maurier

10 papers receiving 454 citations

Peers

Florence Maurier
Yihong Guan United States
Ryouji Fujii Japan
Deirdre Foley United States
Esther Porras-De Francisco United States
Vivek M. Advani United States
Monica Ransom United States
Jamil W. Talhouk United States
Marc Cool Canada
Yihong Guan United States
Florence Maurier
Citations per year, relative to Florence Maurier Florence Maurier (= 1×) peers Yihong Guan

Countries citing papers authored by Florence Maurier

Since Specialization
Citations

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

Fields of papers citing papers by Florence Maurier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Maurier

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

All Works

11 of 11 papers shown
1.
Trivelli, Xavier, Hervé Drobecq, Delphine Beury, et al.. (2021). Rubrolone production by Dactylosporangium vinaceum: biosynthesis, modulation and possible biological function. Applied Microbiology and Biotechnology. 105(13). 5541–5551. 7 indexed citations
2.
Beury, Delphine, Florence Maurier, Ségolène Caboche, et al.. (2019). Use of whole-genome sequencing in the molecular investigation of care-associated HCoV-OC43 infections in a hematopoietic stem cell transplant unit. Journal of Clinical Virology. 122. 104206–104206. 5 indexed citations
3.
Maurier, Florence, Delphine Beury, Jean‐Stéphane Varré, et al.. (2019). A complete protocol for whole-genome sequencing of virus from clinical samples: Application to coronavirus OC43. Virology. 531. 141–148. 23 indexed citations
4.
Poupin, Nathalie, Anne Corlu, Nicolas J. Cabaton, et al.. (2018). Large-Scale Modeling Approach Reveals Functional Metabolic Shifts during Hepatic Differentiation. Journal of Proteome Research. 18(1). 204–216. 5 indexed citations
5.
Sirand‐Pugnet, Pascal, et al.. (2016). Genome Sequences of Two Tunisian Field Strains of Avian Mycoplasma , M. meleagridis and M. gallinarum. Genome Announcements. 4(3).
6.
Maurier, Florence, Alexis Groppi, Pascal Sirand‐Pugnet, et al.. (2013). Finishing bacterial genome assemblies with Mix. BMC Bioinformatics. 14(S15). S16–S16. 31 indexed citations
7.
Bracco, Laurent, et al.. (2006). Methods and Platforms for the Quantification of Splice Variants' Expression. Progress in molecular and subcellular biology. 44. 1–25. 6 indexed citations
8.
Barlat, Isabelle, et al.. (1998). Sam68 Is a Ras-GAP-Associated Protein in Mitosis. Biochemical and Biophysical Research Communications. 245(2). 562–566. 23 indexed citations
9.
Barlat, Isabelle, et al.. (1997). A Role for Sam68 in Cell Cycle Progression Antagonized by a Spliced Variant within the KH Domain. Journal of Biological Chemistry. 272(6). 3129–3132. 86 indexed citations
10.
Tocqué, Bruno, Isabelle Delumeau, Fabienne Parker, et al.. (1997). Ras-GTPase Activating Protein (GAP): A Putative Effector for Ras. Cellular Signalling. 9(2). 153–158. 91 indexed citations
11.
Parker, Fabienne, Florence Maurier, Isabelle Delumeau, et al.. (1996). A Ras-GTPase-Activating Protein SH3-Domain-Binding Protein. Molecular and Cellular Biology. 16(6). 2561–2569. 181 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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