Armelle Biola‐Vidamment

697 total citations
19 papers, 551 citations indexed

About

Armelle Biola‐Vidamment is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Armelle Biola‐Vidamment has authored 19 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 10 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Armelle Biola‐Vidamment's work include Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (6 papers) and Cell death mechanisms and regulation (4 papers). Armelle Biola‐Vidamment is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (6 papers) and Cell death mechanisms and regulation (4 papers). Armelle Biola‐Vidamment collaborates with scholars based in France, United Kingdom and Australia. Armelle Biola‐Vidamment's co-authors include Marc Pallardy, Jacques Bertoglio, Marie-Liesse Asselin-Labat, Muriel D. David, Isabelle Turbica, Maria‐Christina Zennaro, Jacqueline Bréard, Philippe Lefèbvre, Marc Lombès and Natacha Szely and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Armelle Biola‐Vidamment

19 papers receiving 538 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Armelle Biola‐Vidamment France 13 247 207 90 85 60 19 551
Laura Guembe Spain 12 158 0.6× 165 0.8× 100 1.1× 31 0.4× 56 0.9× 20 591
Péter Pócza Hungary 12 229 0.9× 176 0.9× 100 1.1× 64 0.8× 46 0.8× 15 486
Mary Cherian‐Shaw United States 16 130 0.5× 357 1.7× 64 0.7× 59 0.7× 81 1.4× 30 687
Kun Shi China 16 176 0.7× 289 1.4× 81 0.9× 106 1.2× 39 0.7× 35 713
Thure Adler Germany 11 95 0.4× 268 1.3× 55 0.6× 26 0.3× 169 2.8× 19 542
Junko Goto Japan 15 101 0.4× 304 1.5× 130 1.4× 80 0.9× 120 2.0× 23 748
Rita Lieberman United States 10 198 0.8× 336 1.6× 144 1.6× 79 0.9× 112 1.9× 17 659
Nao Saito Japan 11 104 0.4× 195 0.9× 74 0.8× 32 0.4× 30 0.5× 28 508
Ana M. Cabanillas Argentina 14 52 0.2× 247 1.2× 105 1.2× 64 0.8× 40 0.7× 28 439
Kook Heon Seo South Korea 12 418 1.7× 219 1.1× 173 1.9× 115 1.4× 62 1.0× 13 719

Countries citing papers authored by Armelle Biola‐Vidamment

Since Specialization
Citations

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

Fields of papers citing papers by Armelle Biola‐Vidamment

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Armelle Biola‐Vidamment. 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 Armelle Biola‐Vidamment. The network helps show where Armelle Biola‐Vidamment may publish in the future.

Co-authorship network of co-authors of Armelle Biola‐Vidamment

This figure shows the co-authorship network connecting the top 25 collaborators of Armelle Biola‐Vidamment. A scholar is included among the top collaborators of Armelle Biola‐Vidamment 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 Armelle Biola‐Vidamment. Armelle Biola‐Vidamment is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Brun, Émilie, Céline Férard, Kévin Hardonnière, et al.. (2023). Human dendritic cell maturation induced by amorphous silica nanoparticles is Syk-dependent and triggered by lipid raft aggregation. Particle and Fibre Toxicology. 20(1). 12–12. 3 indexed citations
2.
Szely, Natacha, François‐Xavier Legrand, Émilie Brun, et al.. (2021). Synthetic Amorphous Silica Nanoparticles Promote Human Dendritic Cell Maturation and CD4+ T-Lymphocyte Activation. Toxicological Sciences. 185(1). 105–116. 14 indexed citations
3.
Szely, Natacha, et al.. (2020). How to Address the Adjuvant Effects of Nanoparticles on the Immune System. Nanomaterials. 10(3). 425–425. 6 indexed citations
4.
Pallardy, Marc, Isabelle Turbica, & Armelle Biola‐Vidamment. (2017). Why the Immune System Should Be Concerned by Nanomaterials?. Frontiers in Immunology. 8. 544–544. 63 indexed citations
5.
Bertrand, Matthieu, Shaun Flint, Valérie Nicolas, et al.. (2016). Glucocorticoid-Induced Leucine Zipper Protein Controls Macropinocytosis in Dendritic Cells. The Journal of Immunology. 197(11). 4247–4256. 14 indexed citations
6.
Hajage, David, Philippe Montravers, Guillaume Dufour, et al.. (2016). Neutrophil expression of glucocorticoid-induced leucine zipper (GILZ) anti-inflammatory protein is associated with acute respiratory distress syndrome severity. Annals of Intensive Care. 6(1). 105–105. 12 indexed citations
7.
Szely, Natacha, et al.. (2016). TSC‐22 Promotes Interleukin‐2‐Deprivation Induced Apoptosis in T‐Lymphocytes. Journal of Cellular Biochemistry. 117(8). 1855–1868. 5 indexed citations
8.
Biola‐Vidamment, Armelle, et al.. (2015). Les protéines de la famille TSC-22D. médecine/sciences. 31(1). 75–83. 4 indexed citations
9.
Szely, Natacha, et al.. (2015). Glucocorticoid-Induced Leucine Zipper Is Expressed in Human Neutrophils and Promotes Apoptosis through Mcl-1 Down-Regulation. Journal of Innate Immunity. 8(1). 81–96. 32 indexed citations
10.
Touboul, Cyril, et al.. (2012). of glucocorticoid-induced leucine zipper as a key regulator of tumor cell proliferation in epithelial ovarian cancer. 2 indexed citations
11.
Zimmer, Aline, Sonia Luce, Emmanuel Nony, et al.. (2011). Identification of a New Phenotype of Tolerogenic Human Dendritic Cells Induced by Fungal Proteases from Aspergillus oryzae. The Journal of Immunology. 186(7). 3966–3976. 13 indexed citations
12.
Nicolas, Valérie, et al.. (2009). Glucocorticoid-induced Leucine Zipper (GILZ) Promotes the Nuclear Exclusion of FOXO3 in a Crm1-dependent Manner. Journal of Biological Chemistry. 285(8). 5594–5605. 33 indexed citations
13.
Gaudin, Françoise, Cyril Touboul, Dominique Émilie, et al.. (2009). Identification of glucocorticoid-induced leucine zipper as a key regulator of tumor cell proliferation in epithelial ovarian cancer. Molecular Cancer. 8(1). 83–83. 23 indexed citations
14.
Asselin-Labat, Marie-Liesse, et al.. (2005). FoxO3 Mediates Antagonistic Effects of Glucocorticoids and Interleukin-2 on Glucocorticoid-Induced Leucine Zipper Expression. Molecular Endocrinology. 19(7). 1752–1764. 45 indexed citations
15.
Asselin-Labat, Marie-Liesse, Muriel D. David, Armelle Biola‐Vidamment, et al.. (2004). GILZ, a new target for the transcription factor FoxO3, protects T lymphocytes from interleukin-2 withdrawal–induced apoptosis. Blood. 104(1). 215–223. 118 indexed citations
16.
Biola‐Vidamment, Armelle, et al.. (2003). Using CTLL‐2 and CTLL‐2 bcl2 cells to avoid interference by apoptosis in the in vitro micronucleus test. Environmental and Molecular Mutagenesis. 41(1). 14–27. 27 indexed citations
17.
18.
Biola‐Vidamment, Armelle, Karine Andréau, Muriel D. David, et al.. (2000). The glucocorticoid receptor and STAT6 physically and functionally interact in T‐lymphocytes. FEBS Letters. 487(2). 229–233. 49 indexed citations
19.
Pallardy, Marc, et al.. (1999). Assessment of Apoptosis in Xenobiotic-Induced Immunotoxicity. Methods. 19(1). 36–47. 38 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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