David Guérit

840 citations
16 papers · 667 · h-index 10

Impact in

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

Papers in

    • Bone Metabolism and Diseases 4
    • Circular RNAs in diseases 2
    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 4

David Guérit

16 papers receiving 661 citations

Peers

David Guérit
Comparison fields: 5 of 71
  • Cancer Research 231
  • Rheumatology 221
  • Genetics 150
  • Urology 39
  • Molecular Biology 333
Replace Min Hu with:
Min Hu China
Guoli Hu China
Tiziana Franceschetti United States
Andreia Ionescu United States
Fumitaka Kugimiya Japan
Arantza Infante Spain
Soraya Gutiérrez United States
Chaofei Yang China
Vincent Kuek Australia
Zhijia Tan China
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Citations per field
00.5×3.1×
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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 2014179
2 2011145
3 201384
4 201483
5 202050
6 202040
7 201430
8 202013
9 201912
10 201212
11 20217
12 20166
13 20113
14 20121
15 20121
16 20121

About David Guérit

David Guérit is a scholar working on Molecular Biology, Cancer Research, Rheumatology, Genetics and Oncology, having authored 16 papers that have together received 667 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Bone Metabolism and Diseases (4 papers), Cancer-related molecular mechanisms research (4 papers), Mesenchymal stem cell research (3 papers), Telomeres, Telomerase, and Senescence (2 papers), Microtubule and mitosis dynamics (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (231 citations), Rheumatology (221 citations), Genetics (150 citations), Urology (39 citations) and Molecular Biology (333 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, Jean‐Marc Brondello, Didier Philipot, Marie Maumus, Marc Mathieu, Eleonora Olivotto and Anne Dorandeu. Their work appears in journals such as Journal of Cell Science, Methods, Arthritis Research & Therapy, Frontiers in Cell and Developmental Biology 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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