Frédéric Varnat

944 citations
7 papers · 837 · h-index 6

Impact in

  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways
    • Hedgehog Signaling Pathway Studies
    • Epigenetics and DNA Methylation
    • Wnt/β-catenin signaling in development and cancer
    • Peroxisome Proliferator-Activated Receptors

Papers in

    • Hedgehog Signaling Pathway Studies 6
    • Wnt/β-catenin signaling in development and cancer 3
    • Epigenetics and DNA Methylation 2
    • Genetic factors in colorectal cancer 1
    • Tumors and Oncological Cases 1

Frédéric Varnat

7 papers receiving 815 citations

Peers

Frédéric Varnat
Comparison fields: 5 of 71
  • Oncology 266
  • Molecular Biology 628
  • Pathology and Forensic Medicine 137
  • Biochemistry 39
  • Cancer Research 73
Replace Junsheng Fu with:
Junsheng Fu United States
John T. Piper United States
Hasan Mukhtar United States
Nader S. Shenouda United States
Mary S. Sakla United States
Nobuyuki Kuribayashi Japan
Roberta R. Ruela-de-Sousa Brazil
Yougen Wu China
Andrew DeCastro United States
Ming‐Chung Jiang Taiwan
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Citations per field
00.5×2.6×
Junsheng Fu · 1×
Citations per year

Countries citing papers authored by Frédéric Varnat

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Varnat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Frédéric Varnat, 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 Frédéric Varnat Line = papers co-authored together Frédéric Varnat links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2009403
2 1998180
3 200692
4 201082
5 200943
6 201036
7 20101

About Frédéric Varnat

Frédéric Varnat is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Pharmacy and Genetics, having authored 7 papers that have together received 837 indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (6 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Epigenetics and DNA Methylation (2 papers), Phytochemicals and Antioxidant Activities (1 paper), Estrogen and related hormone effects (1 paper), Genetic factors in colorectal cancer (1 paper), Oral and gingival health research (1 paper) and Tumors and Oncological Cases (1 paper). The work is most often cited by research in Oncology (266 citations), Molecular Biology (628 citations), Pathology and Forensic Medicine (137 citations), Biochemistry (39 citations) and Cancer Research (73 citations). Frédéric Varnat has collaborated with scholars based in Switzerland and France. Frequent co-authors include Ariel Ruiz i Altaba, Monica Malerba, Pascal Gervaz, Arnaud Duquet, Marie Zbinden, Christophe Mas, J.C Le Bail, Jean‐Claude Nicolas, G Habrioux and Irene Siegl‐Cachedenier. Their work appears in journals such as EMBO Molecular Medicine, Journal of Molecular Cell Biology, Cancer Letters, Gastroenterology and Mechanisms of Development.

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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