J. Guesnet

534 total citations
12 papers, 424 citations indexed

About

J. Guesnet is a scholar working on Molecular Biology, Dermatology and Immunology. According to data from OpenAlex, J. Guesnet has authored 12 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Dermatology and 3 papers in Immunology. Recurrent topics in J. Guesnet's work include RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers) and Biochemical and Structural Characterization (2 papers). J. Guesnet is often cited by papers focused on RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers) and Biochemical and Structural Characterization (2 papers). J. Guesnet collaborates with scholars based in France and Italy. J. Guesnet's co-authors include Anne Guezennec, Gérard Ailhaud, Ez‐Zoubir Amri, Cécile Vernochet, Christian Elabd, Perla Saint-Marc, Christian Dani, Julien Astier, Anne‐Marie Rodriguez and Giuseppe Parlato and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

J. Guesnet

12 papers receiving 405 citations

Peers

J. Guesnet
J. Guesnet
Citations per year, relative to J. Guesnet J. Guesnet (= 1×) peers Anne Guezennec

Countries citing papers authored by J. Guesnet

Since Specialization
Citations

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

Fields of papers citing papers by J. Guesnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Guesnet

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

All Works

12 of 12 papers shown
1.
Guezennec, Anne, Pierre‐Emmanuel Stoebner, Marie José Stasia, et al.. (2011). MC1R expression in HaCaT keratinocytes inhibits UVA‐induced ROS production via NADPH Oxidase‐ and cAMP‐dependent mechanisms. Journal of Cellular Physiology. 227(6). 2578–2585. 30 indexed citations
2.
Franconi, Florence, et al.. (2010). Measurement of epidermal moisture content by magnetic resonance imaging: assessment of a hydration cream. British Journal of Dermatology. 132(6). 913–917. 2 indexed citations
3.
Garcin, Geneviève, Lionel Le Gallic, Pierre‐Emmanuel Stoebner, et al.. (2009). Constitutive Expression of MC1R in HaCaT Keratinocytes Inhibits Basal and UVB‐induced TNF‐α Production. Photochemistry and Photobiology. 85(6). 1440–1450. 9 indexed citations
4.
Furio, Laetitia, et al.. (2008). Differential effects of allergens and irritants on early differentiating monocyte-derived dendritic cells.. PubMed. 18(2). 141–7. 5 indexed citations
5.
Pernet, I., et al.. (2005). An optimized method for intensive screening of molecules that stimulate β‐defensin 2 or 3 (hBD2 or hBD3) expression in cultured normal human keratinocytes. International Journal of Cosmetic Science. 27(3). 161–170. 7 indexed citations
6.
Staquet, M., et al.. (2004). Moderate skin sensitizers can induce phenotypic changes on in vitro generated dendritic cells. Toxicology in Vitro. 18(4). 493–500. 37 indexed citations
7.
Rodriguez, Anne‐Marie, Christian Elabd, Julien Astier, et al.. (2004). Adipocyte differentiation of multipotent cells established from human adipose tissue. Biochemical and Biophysical Research Communications. 315(2). 255–263. 235 indexed citations
8.
Pernet, I., Anne Guezennec, J. Guesnet, et al.. (2003). Calcium triggers β‐defensin (hBD‐2 and hBD‐3) and chemokine macrophage inflammatory protein‐3α (MIP‐3α/CCL20) expression in monolayers of activated human keratinocytes. Experimental Dermatology. 12(6). 755–760. 39 indexed citations
9.
Guezennec, Anne, et al.. (2003). In vitro stimulation of synthesis of key DEJ constituents in a reconstructed skin model: a quantitative study. International Journal of Cosmetic Science. 25(1-2). 55–62. 1 indexed citations
10.
Guesnet, J., Giuseppe Parlato, & Andrea Parmeggiani. (1983). Interaction between the Different Domains of Aminoacyl‐tRNA and the Elongation‐Factor‐Tu · Kirromycin Complex. European Journal of Biochemistry. 133(3). 499–507. 12 indexed citations
11.
Parlato, Giuseppe, Rosa Pizzano, Delia Picone, et al.. (1983). Different regions of aminoacyl-tRNA regulate the function of elongation factor Tu.. Journal of Biological Chemistry. 258(2). 995–1000. 19 indexed citations
12.
Parlato, Giuseppe, J. Guesnet, Jean‐Bernard Créchet, & Andrea Parmeggiani. (1981). The GTPase activity of elongation factor Tu and the 3'‐terminal end of aminoacyl‐tRNA. FEBS Letters. 125(2). 257–260. 28 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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