Benoît Albaud

1.2k total citations
10 papers, 164 citations indexed

About

Benoît Albaud is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Benoît Albaud has authored 10 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Benoît Albaud's work include Cancer Cells and Metastasis (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper) and Advanced Breast Cancer Therapies (1 paper). Benoît Albaud is often cited by papers focused on Cancer Cells and Metastasis (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper) and Advanced Breast Cancer Therapies (1 paper). Benoît Albaud collaborates with scholars based in France, Belgium and Luxembourg. Benoît Albaud's co-authors include David Gentien, Eliette Bonnefoy, Zeyni Mansuroglu, Thibaut Josse, Sylvie Souès, Michèle Bouloy, Marie‐Christine Galas, Alban Chauderlier, Houda Benhelli‐Mokrani and Bernard Le Bonniec and has published in prestigious journals such as Nucleic Acids Research, Cancer Research and Journal of Virology.

In The Last Decade

Benoît Albaud

10 papers receiving 162 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoît Albaud France 8 93 34 33 27 23 10 164
Srivatsan Padmanabhan United States 5 194 2.1× 28 0.8× 24 0.7× 36 1.3× 18 0.8× 5 306
Aaron Odell United States 7 140 1.5× 13 0.4× 21 0.6× 56 2.1× 5 0.2× 10 231
James E. J. Bedard United States 7 112 1.2× 16 0.5× 46 1.4× 10 0.4× 3 0.1× 10 196
Alexander Wallroth Germany 5 217 2.3× 41 1.2× 7 0.2× 10 0.4× 7 0.3× 6 364
Matthew Valentine Japan 4 120 1.3× 32 0.9× 32 1.0× 24 0.9× 11 0.5× 4 250
Brandon Willis United States 9 164 1.8× 18 0.5× 32 1.0× 22 0.8× 2 0.1× 22 264
Abdulrahman Salhab Germany 9 163 1.8× 6 0.2× 32 1.0× 44 1.6× 9 0.4× 15 265
Christian Oertlin Sweden 7 174 1.9× 47 1.4× 25 0.8× 15 0.6× 4 0.2× 7 260
Mohammed E. El‐Asrag United Kingdom 10 153 1.6× 28 0.8× 14 0.4× 17 0.6× 9 0.4× 17 211
Lori E Corbani United States 3 156 1.7× 15 0.4× 14 0.4× 8 0.3× 3 0.1× 4 217

Countries citing papers authored by Benoît Albaud

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Albaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Albaud

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

All Works

10 of 10 papers shown
1.
Arena, Giuseppe, Céline Gracia, Valérie Buard, et al.. (2022). Relevance of the TRIAP1/p53 axis in colon cancer cell proliferation and adaptation to glutamine deprivation. Frontiers in Oncology. 12. 958155–958155. 8 indexed citations
2.
Gentien, David, Émilie Henry, Benoît Albaud, et al.. (2020). Digital Multiplexed Gene Expression Analysis of mRNA and miRNA from Routinely Processed and Stained Cytological Smears: A Proof-of-Principle Study. Acta Cytologica. 65(1). 88–98. 8 indexed citations
3.
Cagnard, Nicolas, et al.. (2020). Unique inflammatory signature in haemophilic arthropathy: miRNA changes due to interaction between blood and fibroblast‐like synoviocytes. Journal of Cellular and Molecular Medicine. 24(24). 14453–14466. 5 indexed citations
4.
Benhelli‐Mokrani, Houda, Zeyni Mansuroglu, Alban Chauderlier, et al.. (2018). Genome-wide identification of genic and intergenic neuronal DNA regions bound by Tau protein under physiological and stress conditions. Nucleic Acids Research. 46(21). 11405–11422. 42 indexed citations
5.
Richer, Wilfrid, Julien Masliah‐Planchon, Nathalie Clément, et al.. (2017). Embryonic signature distinguishes pediatric and adult rhabdoid tumors from other SMARCB1-deficient cancers. Oncotarget. 8(21). 34245–34257. 7 indexed citations
6.
Stouffer, Melissa A., Robert Olaso, Leila Mureşan, et al.. (2016). Early born neurons are abnormally positioned in the doublecortin knockout hippocampus. Human Molecular Genetics. 26(1). ddw370–ddw370. 9 indexed citations
7.
Cottu, Paul, Ivan Bièche, Franck Assayag, et al.. (2014). Acquired Resistance to Endocrine Treatments Is Associated with Tumor-Specific Molecular Changes in Patient-Derived Luminal Breast Cancer Xenografts. Clinical Cancer Research. 20(16). 4314–4325. 42 indexed citations
8.
Castro‐Vega, Luis Jaime, Karina Jouravleva, Pierre Gestraud, et al.. (2013). Telomere crisis in kidney epithelial cells promotes the acquisition of a microRNA signature retrieved in aggressive renal cell carcinomas. Carcinogenesis. 34(5). 1173–1180. 15 indexed citations
9.
Gentien, David, Stéphane Depil, Pierre Gestraud, et al.. (2012). Abstract 3000: Molecular profiling of residual tumor cells after various chemotherapies shows distinct gene expression patterns in patient-derived breast cancer xenografts. Cancer Research. 72(8_Supplement). 3000–3000. 3 indexed citations
10.

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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