Éric Adriaenssens

4.1k total citations
61 papers, 3.2k citations indexed

About

Éric Adriaenssens is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Éric Adriaenssens has authored 61 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 17 papers in Oncology and 17 papers in Cancer Research. Recurrent topics in Éric Adriaenssens's work include Cancer-related molecular mechanisms research (13 papers), Nerve injury and regeneration (10 papers) and RNA Research and Splicing (10 papers). Éric Adriaenssens is often cited by papers focused on Cancer-related molecular mechanisms research (13 papers), Nerve injury and regeneration (10 papers) and RNA Research and Splicing (10 papers). Éric Adriaenssens collaborates with scholars based in France, Australia and United States. Éric Adriaenssens's co-authors include Xuefen Le Bourhis, Hubert Hondermarck, Jean Coll, Ikram El Yazidi‐Belkoura, Thierry Dugimont, Victor Nurcombe, Constance Vennin, Séverine Lottin, Nathalie Berteaux and Chann Lagadec and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and PLoS ONE.

In The Last Decade

Éric Adriaenssens

60 papers receiving 3.2k citations

Peers

Éric Adriaenssens
Lidija Covic United States
Rosemarie Schmandt United States
Kaustubh Datta United States
Zuoren Yu China
Ming Yu United States
Tim Hon Man Chan United States
Andrew C. Dudley United States
Daniel J. Murphy United Kingdom
Lidija Covic United States
Éric Adriaenssens
Citations per year, relative to Éric Adriaenssens Éric Adriaenssens (= 1×) peers Lidija Covic

Countries citing papers authored by Éric Adriaenssens

Since Specialization
Citations

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

Fields of papers citing papers by Éric Adriaenssens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éric Adriaenssens

This figure shows the co-authorship network connecting the top 25 collaborators of Éric Adriaenssens. A scholar is included among the top collaborators of Éric Adriaenssens 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 Éric Adriaenssens. Éric Adriaenssens 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.
Fontaine, Emeline, Éric Adriaenssens, Robert‐Alain Toillon, et al.. (2025). Spatial self-organization of cancer stem cell niches revealed by live single-cell imaging. Stem Cell Research & Therapy. 16(1). 580–580.
2.
Guette, Catherine, Hubert Hondermarck, Roland P. Bourette, et al.. (2023). Mitochondrial adaptation decreases drug sensitivity of persistent triple negative breast cancer cells surviving combinatory and sequential chemotherapy. Neoplasia. 46. 100949–100949. 5 indexed citations
3.
Vincent, Audrey, et al.. (2023). ABSP: an automated R tool to efficiently analyze region-specific CpG methylation from bisulfite sequencing PCR. Bioinformatics. 39(1). 3 indexed citations
4.
Tian, Lü, Marie‐José Truong, Chann Lagadec, et al.. (2019). s-SHIP Promoter Expression Identifies Mouse Mammary Cancer Stem Cells. Stem Cell Reports. 13(1). 10–20. 6 indexed citations
5.
Bourhis, Xuefen Le, et al.. (2019). The long non-coding RNA H19: an active player with multiple facets to sustain the hallmarks of cancer. Cellular and Molecular Life Sciences. 76(23). 4673–4687. 76 indexed citations
6.
Jonchère, Vincent, Anaïs Lagrange, Magali Svrcek, et al.. (2018). Targeting nonsense-mediated mRNA decay in colorectal cancers with microsatellite instability. Oncogenesis. 7(9). 70–70. 60 indexed citations
7.
Vennin, Constance, Nathalie Spruyt, Y Robin, et al.. (2016). The long non-coding RNA 91H increases aggressive phenotype of breast cancer cells and up-regulates H19/IGF2 expression through epigenetic modifications. Cancer Letters. 385. 198–206. 59 indexed citations
8.
Vennin, Constance, et al.. (2015). Enrichment of Human Stem-Like Prostate Cells with s-SHIP Promoter Activity Uncovers a Role in Stemness for the Long Noncoding RNA H19. Stem Cells and Development. 24(10). 1252–1262. 43 indexed citations
9.
Vanhecke, Elsa, Éric Adriaenssens, Stéphanie Verbeke, et al.. (2011). Brain-Derived Neurotrophic Factor and Neurotrophin-4/5 Are Expressed in Breast Cancer and Can Be Targeted to Inhibit Tumor Cell Survival. Clinical Cancer Research. 17(7). 1741–1752. 101 indexed citations
10.
Verbeke, Stéphanie, Samuel Meignan, Chann Lagadec, et al.. (2010). Overexpression of p75NTR increases survival of breast cancer cells through p21waf1. Cellular Signalling. 22(12). 1864–1873. 53 indexed citations
11.
Lagadec, Chann, Samuel Meignan, Éric Adriaenssens, et al.. (2009). TrkA overexpression enhances growth and metastasis of breast cancer cells. Oncogene. 28(18). 1960–1970. 169 indexed citations
12.
Adriaenssens, Éric, Elsa Vanhecke, Pasquine Saule, et al.. (2008). Nerve Growth Factor Is a Potential Therapeutic Target in Breast Cancer. Cancer Research. 68(2). 346–351. 160 indexed citations
13.
Berteaux, Nathalie, Guy Cathala, Céline Genton, et al.. (2008). A Novel H19 Antisense RNA Overexpressed in Breast Cancer Contributes to Paternal IGF2 Expression. Molecular and Cellular Biology. 28(22). 6731–6745. 120 indexed citations
14.
Bernard, Laurence, Christine Legay, Éric Adriaenssens, Alexandra Mougel, & Jean‐Marc Ricort. (2006). Estradiol regulates the insulin-like growth factor-I (IGF-I) signalling pathway: A crucial role of phosphatidylinositol 3-kinase (PI 3-kinase) in estrogens requirement for growth of MCF-7 human breast carcinoma cells. Biochemical and Biophysical Research Communications. 350(4). 916–921. 20 indexed citations
15.
Julien, Sofi G., Éric Adriaenssens, Alessandro Furlan, et al.. (2005). ST6GalNAc I expression in MDA-MB-231 breast cancer cells greatly modifies their O-glycosylation pattern and enhances their tumourigenicity. Glycobiology. 16(1). 54–64. 166 indexed citations
16.
Dollé, Laurent, Éric Adriaenssens, Ikram El Yazidi‐Belkoura, et al.. (2004). Nerve Growth Factor Receptors and Signaling in Breast Cancer. Current Cancer Drug Targets. 4(6). 463–470. 81 indexed citations
17.
Berteaux, Nathalie, Séverine Lottin, Éric Adriaenssens, et al.. (2004). Hormonal regulation of H19 gene expression in prostate epithelial cells. Journal of Endocrinology. 183(1). 69–78. 30 indexed citations
18.
Dollé, Laurent, Ikram El Yazidi‐Belkoura, Éric Adriaenssens, Victor Nurcombe, & Hubert Hondermarck. (2003). Nerve growth factor overexpression and autocrine loop in breast cancer cells. Oncogene. 22(36). 5592–5601. 111 indexed citations
19.
Toillon, Robert‐Alain, Simon Descamps, Éric Adriaenssens, et al.. (2002). Normal Breast Epithelial Cells Induce Apoptosis of Breast Cancer Cells via Fas Signaling. Experimental Cell Research. 275(1). 31–43. 31 indexed citations
20.
Masy, E., Éric Adriaenssens, Claude Auriault, & Jean Coll. (2002). La protéine oncogène LMP1 du virus d'Epstein-Barr : voies de signalisation et phénotypes associés. Virologie. 6(5). 379–390. 1 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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