David Guérit

867 citations
16 papers · 706 · h-index 11

Impact in

    • Osteoarthritis Treatment and Mechanisms
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Cancer-related molecular mechanisms research 4
    • MicroRNA in disease regulation 4
    • Osteoarthritis Treatment and Mechanisms 5

David Guérit

16 papers receiving 699 citations

Peers

David Guérit
Comparison fields: 5 of 69
  • Rheumatology 205
  • Cancer Research 195
  • Genetics 135
  • Urology 31
  • Molecular Biology 320
Replace Zizhao Wu with:
Zizhao Wu China
Arantza Infante Spain
Naomi Dirckx United States
Eddie Rodríguez-Carballo Spain
Hwanhee Oh South Korea
Amanda R. Dicks United States
Clare Darrah United Kingdom
Sho Matsuyama Japan
Bin Zuo China
Yoshifumi Mori Japan
David Guérit relative to Zizhao Wu China Zizhao Wu's profile →
Citations per field
00.5×5×10×13.5×
Zizhao Wu · 1×
Citations per year

Countries citing papers authored by David Guérit

Since Specialization
Citations

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

Fields of papers citing papers by David Guérit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Guérit, 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 David Guérit Line = papers co-authored together David Guérit links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2014188
2 2011147
3 201385
4 201484
5 202059
6 202042
7 201432
8 202016
9 201915
10 202113
11 201212
12 20167
13 20113
14 20121
15 20121
16 20121

About David Guérit

David Guérit is a scholar working on Cancer Research, Rheumatology, Genetics, Molecular Biology and Developmental Neuroscience, having authored 16 papers that have together received 706 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (5 papers), Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (4 papers), Bone Metabolism and Diseases (3 papers), Mesenchymal stem cell research (3 papers), Circular RNAs in diseases (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Rheumatology (205 citations), Cancer Research (195 citations), Genetics (135 citations), Urology (31 citations) and Molecular Biology (320 citations). David Guérit has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Danièle Noël, Christian Jørgensen, Karine Toupet, Paul Chuchana, Didier Philipot, Jean‐Marc Brondello, Marie Maumus, Anne Blangy, Anne Pierre Morel and Marc N. Mathieu. Their work appears in journals such as Journal of Cell Science, PLoS ONE, Stem Cell Research & Therapy, Arthritis Research & Therapy and Journal of Biological Chemistry.

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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