Antoine Daunay

1.4k total citations
26 papers, 796 citations indexed

About

Antoine Daunay is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Antoine Daunay has authored 26 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Antoine Daunay's work include Epigenetics and DNA Methylation (15 papers), RNA modifications and cancer (6 papers) and Genetic factors in colorectal cancer (3 papers). Antoine Daunay is often cited by papers focused on Epigenetics and DNA Methylation (15 papers), RNA modifications and cancer (6 papers) and Genetic factors in colorectal cancer (3 papers). Antoine Daunay collaborates with scholars based in France, United Kingdom and United States. Antoine Daunay's co-authors include Jörg Tost, Alexandre How‐Kit, Florence Busato, E. C. M. Nelissen, J.L.H. Evers, John C.M. Dumoulin, Aafke P.A. van Montfoort, Burkhard Manfras, Charles A. Mein and Siarhei Maslau and has published in prestigious journals such as Nucleic Acids Research, Analytical Biochemistry and Scientific Reports.

In The Last Decade

Antoine Daunay

24 papers receiving 787 citations

Peers

Antoine Daunay
Marga Schepens Netherlands
Liubin Yang United States
Nicole L. Hoppman United States
Pamela S. Karnes United States
Cathy Holding United Kingdom
Shirley Henderson United Kingdom
Antoine Daunay
Citations per year, relative to Antoine Daunay Antoine Daunay (= 1×) peers Jessica Nordlund

Countries citing papers authored by Antoine Daunay

Since Specialization
Citations

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

Fields of papers citing papers by Antoine Daunay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antoine Daunay

This figure shows the co-authorship network connecting the top 25 collaborators of Antoine Daunay. A scholar is included among the top collaborators of Antoine Daunay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Antoine Daunay. Antoine Daunay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shen, Yimin, Antoine Daunay, Marc Délepine, et al.. (2025). A detailed analysis of second and third-generation sequencing approaches for accurate length determination of short tandem repeats and homopolymers. Nucleic Acids Research. 53(5). 4 indexed citations
3.
Mauger, Florence, Antoine Daunay, Christian Daviaud, et al.. (2025). Integrative Multiparametric Analysis of Circulating Cell‐Free Nucleic Acids of Plasma in Healthy Individuals During Aging. Aging Cell. 24(9). e70133–e70133.
4.
Desjobert, Cécile, Loı̈c Ponger, Laurence Lamant, et al.. (2022). DNA methylome combined with chromosome cluster-oriented analysis provides an early signature for cutaneous melanoma aggressiveness. eLife. 11. 3 indexed citations
5.
Bouyacoub, Yosra, Antoine Daunay, Mourad Sahbatou, et al.. (2022). A high-throughput real-time PCR tissue-of-origin test to distinguish blood from lymphoblastoid cell line DNA for (epi)genomic studies. Scientific Reports. 12(1). 4684–4684. 3 indexed citations
6.
Sahbatou, Mourad, Antoine Daunay, Laura G. Baudrin, et al.. (2020). Improvements and inter-laboratory implementation and optimization of blood-based single-locus age prediction models using DNA methylation of the ELOVL2 promoter. Scientific Reports. 10(1). 15652–15652. 15 indexed citations
7.
Aractingi, S., Natacha Kadlub, Sylvie Fraïtag, et al.. (2019). Local Inhibition of MEK/Akt Prevents Cellular Growth in Human Congenital Melanocytic Nevi. Journal of Investigative Dermatology. 139(9). 2004–2015.e13. 13 indexed citations
8.
Daunay, Antoine, Laura G. Baudrin, Jean‐François Deleuze, & Alexandre How‐Kit. (2019). Evaluation of six blood-based age prediction models using DNA methylation analysis by pyrosequencing. Scientific Reports. 9(1). 8862–8862. 43 indexed citations
9.
Desjobert, Cécile, Diego M. Marzese, Antoine Daunay, et al.. (2019). Demethylation by low-dose 5-aza-2′-deoxycytidine impairs 3D melanoma invasion partially through miR-199a-3p expression revealing the role of this miR in melanoma. Clinical Epigenetics. 11(1). 9–9. 13 indexed citations
10.
Daunay, Antoine, Alex Duval, Laura G. Baudrin, et al.. (2019). Low temperature isothermal amplification of microsatellites drastically reduces stutter artifact formation and improves microsatellite instability detection in cancer. Nucleic Acids Research. 47(21). e141–e141. 15 indexed citations
11.
How‐Kit, Alexandre, Antoine Daunay, Olivier Buhard, et al.. (2017). Major improvement in the detection of microsatellite instability in colorectal cancer using HSP110 T17 E-ice-COLD-PCR. Human Mutation. 39(3). 441–453. 21 indexed citations
12.
Yaghi, Layale, Isabelle Poras, Renata Toscano Simões, et al.. (2016). Hypoxia inducible factor-1 mediates the expression of the immune checkpoint HLA-G in glioma cells through hypoxia response element located in exon 2. Oncotarget. 7(39). 63690–63707. 53 indexed citations
13.
How‐Kit, Alexandre, Antoine Daunay, Florence Busato, et al.. (2015). Accurate CpG and non-CpG cytosine methylation analysis by high-throughput locus-specific pyrosequencing in plants. Plant Molecular Biology. 88(4-5). 471–485. 14 indexed citations
14.
Moison, Céline, et al.. (2015). DNA Methylation Analysis of ChIP Products at Single Nucleotide Resolution by Pyrosequencing®. Methods in molecular biology. 1315. 315–333. 2 indexed citations
15.
Nielsen, Helene Myrtue, Alexandre How‐Kit, Carole Guérin, et al.. (2015). Copy number variations alter methylation and parallel IGF2 overexpression in adrenal tumors. Endocrine Related Cancer. 22(6). 953–967. 18 indexed citations
16.
Moison, Céline, et al.. (2014). Synergistic chromatin repression of the tumor suppressor geneRARBin human prostate cancers. Epigenetics. 9(4). 477–482. 27 indexed citations
17.
How‐Kit, Alexandre, Célèste Lebbé, Aurélie Bousard, et al.. (2014). Ultrasensitive detection and identification of BRAF V600 mutations in fresh frozen, FFPE, and plasma samples of melanoma patients by E-ice-COLD-PCR. Analytical and Bioanalytical Chemistry. 406(22). 5513–5520. 25 indexed citations
18.
Nelissen, E. C. M., John C.M. Dumoulin, Antoine Daunay, et al.. (2013). Placentas from pregnancies conceived by IVF/ICSI have a reduced DNA methylation level at the H19 and MEST differentially methylated regions†. Human Reproduction. 28(4). 1117–1126. 100 indexed citations
19.
Rakyan, Vardhman K., Huriya Beyan, Thomas A. Down, et al.. (2011). Identification of Type 1 Diabetes–Associated DNA Methylation Variable Positions That Precede Disease Diagnosis. PLoS Genetics. 7(9). e1002300–e1002300. 241 indexed citations
20.
Daunay, Antoine, et al.. (2010). Quality control and single nucleotide resolution analysis of methylated DNA immunoprecipitation products. Analytical Biochemistry. 407(1). 141–143. 4 indexed citations

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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