Guillaume Devailly

503 citations
27 papers · 344 · h-index 11

Impact in

    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • Single-cell and spatial transcriptomics
    • Cell death mechanisms and regulation
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Epigenetics and DNA Methylation 11
    • Genomics and Chromatin Dynamics 7
    • Single-cell and spatial transcriptomics 2
    • Bioinformatics and Genomic Networks 2
    • Cell death mechanisms and regulation 2
    • Genomics and Phylogenetic Studies 2
    • Animal Nutrition and Physiology 2

Guillaume Devailly

25 papers receiving 341 citations

Peers

Guillaume Devailly
Comparison fields: 5 of 55
  • Molecular Biology 179
  • Oncology 55
  • Cancer Research 30
  • Otorhinolaryngology 12
  • Animal Science and Zoology 13
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Citations per year

Countries citing papers authored by Guillaume Devailly

Since Specialization
Citations

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

Fields of papers citing papers by Guillaume Devailly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201346
2 201734
3 201433
4 201533
5 201627
6 201523
7 201622
8 201520
9 201620
10 201716
11 202013
12 202211
13 20158
14 20165
15 20185
16 20235
17 20255
18 20184
19 20184
20 20173

About Guillaume Devailly

Guillaume Devailly is a scholar working on Molecular Biology, Animal Science and Zoology, Genetics, Otorhinolaryngology and Cancer Research, having authored 27 papers that have together received 344 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (11 papers), Genomics and Chromatin Dynamics (7 papers), Genetic and phenotypic traits in livestock (3 papers), Single-cell and spatial transcriptomics (2 papers), Animal Nutrition and Physiology (2 papers), Bioinformatics and Genomic Networks (2 papers), Cell death mechanisms and regulation (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Molecular Biology (179 citations), Oncology (55 citations), Cancer Research (30 citations), Otorhinolaryngology (12 citations) and Animal Science and Zoology (13 citations). Guillaume Devailly has collaborated with scholars based in France, United Kingdom and Norway. Frequent co-authors include Anagha Joshi, Robert Dante, Patrick Mehlen, Agnès Bernet, Benjamin Gibert, Zdenko Herceg, Christian Klein, David Vindrieux, Yannick Bidet and David Neves. Their work appears in journals such as EMBO Molecular Medicine, BMC Bioinformatics, Physiological Genomics, Oncotarget and Current Zoology.

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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