Philippe Mauduit

933 citations
19 papers · 637 · h-index 12

Impact in

Papers in

    • Extracellular vesicles in disease 4
    • Receptor Mechanisms and Signaling 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Venomous Animal Envenomation and Studies 2

Philippe Mauduit

19 papers receiving 630 citations

Peers

Philippe Mauduit
Comparison fields: 5 of 82
  • Immunology and Allergy 167
  • Hematology 68
  • Cancer Research 77
  • Molecular Biology 345
  • Cell Biology 79
Replace Usha Nagavarapu with:
Usha Nagavarapu United States
Silvia Naus United Kingdom
Casey L. Moulson United States
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Joanna Liliental United States
Ronald F. Hrstka United States
Tomohiro Kurisaki Japan
Momchil V. Kolev United States
Annette M. Gonzalez United States
Noriyuki Tsukamoto Japan
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Philippe Mauduit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philippe Mauduit Line = papers co-authored together Philippe Mauduit links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2012142
2 2008115
3 199378
4 200374
5 199643
6 202031
7 199124
8 201918
9 202018
10 199916
11 202312
12 202212
13 198310
14 20049
15 20228
16 19838
17 20237
18 19897
19 19925

About Philippe Mauduit

Philippe Mauduit is a scholar working on Molecular Biology, Genetics, Immunology and Allergy, Cancer Research and Hematology, having authored 19 papers that have together received 637 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), Cell Adhesion Molecules Research (4 papers), MicroRNA in disease regulation (3 papers), Receptor Mechanisms and Signaling (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Venomous Animal Envenomation and Studies (2 papers). The work is most often cited by research in Immunology and Allergy (167 citations), Hematology (68 citations), Cancer Research (77 citations), Molecular Biology (345 citations) and Cell Biology (79 citations). Philippe Mauduit has collaborated with scholars based in France, United States and Morocco. Frequent co-authors include B. Rossignol, Claude Boucheix, Eric Rubinstein, C Dreux, Sylvain M. Le Gall, Jean‐François Ottavi, Rodolphe Auger, Emmanuel Dornier, Julien Moretti and François Schweisguth. Their work appears in journals such as FEBS Letters, Biology of the Cell, Stem Cell Research & Therapy, Biology and British Journal of Pharmacology.

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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