Philippe Mauduit

888 total citations
16 papers, 600 citations indexed

About

Philippe Mauduit is a scholar working on Molecular Biology, Genetics and Immunology and Allergy. According to data from OpenAlex, Philippe Mauduit has authored 16 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Immunology and Allergy. Recurrent topics in Philippe Mauduit's work include Cell Adhesion Molecules Research (4 papers), Mesenchymal stem cell research (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Philippe Mauduit is often cited by papers focused on Cell Adhesion Molecules Research (4 papers), Mesenchymal stem cell research (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Philippe Mauduit collaborates with scholars based in France, United States and Germany. Philippe Mauduit's co-authors include B. Rossignol, Eric Rubinstein, Claude Boucheix, C Dreux, Sylvain M. Le Gall, Jean‐François Ottavi, Franck Coumailleau, Emmanuel Dornier, Julien Moretti and François Schweisguth and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The Journal of Immunology.

In The Last Decade

Philippe Mauduit

16 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philippe Mauduit France	11	341	171	109	106	89	16	600
Silvia Naus United Kingdom	10	307 0.9×	216 1.3×	95 0.9×	244 2.3×	53 0.6×	11	757
Peter J. Noy United Kingdom	14	389 1.1×	166 1.0×	38 0.3×	119 1.1×	94 1.1×	17	625
Michael Loubtchenkov Finland	7	558 1.6×	74 0.4×	62 0.6×	102 1.0×	155 1.7×	9	850
Momchil V. Kolev United States	7	431 1.3×	122 0.7×	45 0.4×	122 1.2×	123 1.4×	7	644
Casey L. Moulson United States	12	770 2.3×	116 0.7×	113 1.0×	81 0.8×	201 2.3×	13	1.0k
Marjolein J. Vliem Netherlands	13	425 1.2×	235 1.4×	53 0.5×	59 0.6×	187 2.1×	17	743
Ronald F. Hrstka United States	6	754 2.2×	169 1.0×	149 1.4×	88 0.8×	167 1.9×	7	1.1k
Annette M. Gonzalez United States	12	337 1.0×	149 0.9×	94 0.9×	50 0.5×	173 1.9×	13	621
Yu Kawakami Japan	13	320 0.9×	79 0.5×	64 0.6×	69 0.7×	95 1.1×	28	865
Susan F. Law United States	13	746 2.2×	425 2.5×	87 0.8×	181 1.7×	312 3.5×	18	1.1k

Countries citing papers authored by Philippe Mauduit

Since Specialization

Citations

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

Fields of papers citing papers by Philippe Mauduit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Mauduit

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

All Works

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16 of 16 papers shown

Mauduit, Philippe, et al.. (2022). An Evaluation of Different Types of Peptone as Partial Substitutes for Animal-derived Serum in Vero Cell Culture. Alternatives to Laboratory Animals. 50(5). 339–348. 7 indexed citations

Rouffiac, Valérie, Frédéric De Leeuw, Corinne Laplace‐Builhé, et al.. (2020). Cord blood-endothelial colony forming cells are immunotolerated and participate at post-ischemic angiogenesis in an original dorsal chamber immunocompetent mouse model. Stem Cell Research & Therapy. 11(1). 172–172. 18 indexed citations

Peltzer, Juliette, et al.. (2020). Interferon-γ and Hypoxia Priming Have Limited Effect on the miRNA Landscape of Human Mesenchymal Stromal Cells-Derived Extracellular Vesicles. Frontiers in Cell and Developmental Biology. 8. 581436–581436. 31 indexed citations

Ottavi, Jean‐François, Nassima Benzoubir, Philippe Mauduit, et al.. (2019). Tspan15 Is a New Stemness‐Related Marker in Hepatocellular Carcinoma. PROTEOMICS. 19(21-22). e1900025–e1900025. 16 indexed citations

Dornier, Emmanuel, Franck Coumailleau, Jean‐François Ottavi, et al.. (2012). TspanC8 tetraspanins regulate ADAM10/Kuzbanian trafficking and promote Notch activation in flies and mammals. The Journal of Cell Biology. 199(3). 481–496. 140 indexed citations

Li, Lei, Martine Billard, A. Chabanon, et al.. (2008). Tetraspanins Regulate ADAM10-Mediated Cleavage of TNF-α and Epidermal Growth Factor. The Journal of Immunology. 181(10). 7002–7013. 115 indexed citations

Gall, Sylvain M. Le, Pierre Meneton, Philippe Mauduit, & C Dreux. (2004). The sequential cleavage of membrane anchored pro-EGF requires a membrane serine protease other than kallikrein in rat kidney. Regulatory Peptides. 122(2). 119–129. 9 indexed citations

Gall, Sylvain M. Le, Rodolphe Auger, C Dreux, & Philippe Mauduit. (2003). Regulated Cell Surface Pro-EGF Ectodomain Shedding Is a Zinc Metalloprotease-dependent Process. Journal of Biological Chemistry. 278(46). 45255–45268. 73 indexed citations

Jammes, Hélène, et al.. (1999). EGF precursor mRNA and membrane-associated EGF precursor protein in rat exorbital lacrimal gland. American Journal of Physiology-Cell Physiology. 276(3). C734–C746. 16 indexed citations

10.

Lemullois, Michel, B. Rossignol, & Philippe Mauduit. (1996). Immunolocalization of myoepithelial cells in isolated acini of rat exorbital lacrimal gland: Cellular distribution of muscarinic receptors. Biology of the Cell. 86(2-3). 175–181. 43 indexed citations

11.

Mayeux, Patrick, Isabelle Dusanter‐Fourt, O. Müller, et al.. (1993). Erythropoietin induces the association of phosphatidylinositol 3′‐kinase with a tyrosine‐phosphorylated protein complex containing the erythropoietin receptor. European Journal of Biochemistry. 216(3). 821–828. 78 indexed citations

12.

Zoukhri, Driss, et al.. (1992). The rat lacrimal gland expresses the α isoform of PKC. Further evidence for the PMA-activated and phospholipid-independent protein kinase activity. Cellular Signalling. 4(1). 111–119. 5 indexed citations

13.

Hicks, Peter E., et al.. (1991). α‐Adrenoceptor subtypes in dog saphenous vein that mediate contraction and inositol phosphate production. British Journal of Pharmacology. 102(1). 151–161. 24 indexed citations

14.

Mauduit, Philippe, Driss Zoukhri, & B. Rossignol. (1989). Direct activation of a protein kinase activity from rat lacrimal gland by PMA in a phospholipid‐free system. FEBS Letters. 252(1-2). 5–11. 7 indexed citations

15.

Mauduit, Philippe, Geneviève Herman, & B. Rossignol. (1983). Forskolin as a tool to study the β‐adrenergic receptor‐elicited, labeled protein secretion in rat lacrimal gland. FEBS Letters. 153(1). 21–24. 8 indexed citations

16.

Mauduit, Philippe, Geneviève Herman, & B. Rossignol. (1983). Effect of trifluoperazine on ³H‐labeled protein secretion induced by pentoxifylline, cholinergic or adrenergic agonists in rat lacrimal gland. A possible role of calmodulin?. FEBS Letters. 152(2). 207–211. 10 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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