Maud Privat

1.1k total citations
35 papers, 797 citations indexed

About

Maud Privat is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Maud Privat has authored 35 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Maud Privat's work include BRCA gene mutations in cancer (8 papers), MicroRNA in disease regulation (5 papers) and Genetic factors in colorectal cancer (5 papers). Maud Privat is often cited by papers focused on BRCA gene mutations in cancer (8 papers), MicroRNA in disease regulation (5 papers) and Genetic factors in colorectal cancer (5 papers). Maud Privat collaborates with scholars based in France, Tunisia and Canada. Maud Privat's co-authors include Yves‐Jean Bignon, Frédérique Penault‐Llorca, Annie Valette, Florence Larminat, Abderraouf Kénani, Corinne Aubel, Mev Dominguez–Valentin, Sabrina Daniela da Silva, Moulay A. Alaoui‐Jamali and Anne Cayre and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Maud Privat

33 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maud Privat France 15 529 325 219 144 75 35 797
Utpal K. Mukhopadhyay Canada 11 782 1.5× 484 1.5× 171 0.8× 69 0.5× 34 0.5× 18 1.1k
Christiane Pelzer Germany 13 595 1.1× 329 1.0× 220 1.0× 59 0.4× 74 1.0× 16 989
Anders Bondo Dydensborg Canada 10 463 0.9× 133 0.4× 173 0.8× 106 0.7× 189 2.5× 12 726
Tsung‐Chieh Shih Taiwan 15 508 1.0× 233 0.7× 102 0.5× 71 0.5× 46 0.6× 20 725
Hai Zheng China 13 611 1.2× 164 0.5× 179 0.8× 223 1.5× 34 0.5× 25 914
Mirella Lazarov United States 8 442 0.8× 246 0.8× 259 1.2× 73 0.5× 32 0.4× 12 838
Inès Krüger Germany 5 856 1.6× 280 0.9× 308 1.4× 71 0.5× 104 1.4× 9 1.1k
Mark Sun Canada 13 839 1.6× 240 0.7× 134 0.6× 192 1.3× 63 0.8× 16 1.1k
Anne Dumay France 10 326 0.6× 146 0.4× 225 1.0× 80 0.6× 53 0.7× 17 559
Karin Klinga‐Levan Sweden 17 531 1.0× 241 0.7× 133 0.6× 211 1.5× 39 0.5× 54 768

Countries citing papers authored by Maud Privat

Since Specialization
Citations

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

Fields of papers citing papers by Maud Privat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maud Privat

This figure shows the co-authorship network connecting the top 25 collaborators of Maud Privat. A scholar is included among the top collaborators of Maud Privat 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 Maud Privat. Maud Privat 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.
Ginzac, Angeline, et al.. (2025). Identification of new candidate genes for the hereditary predisposition to uveal melanoma: IGCMU trial. Frontiers in Oncology. 15. 1538924–1538924.
2.
Uhrhammer, Nancy, et al.. (2025). Prevalence of Constitutional Pathogenic Variant in a Cohort of 348 Patients With Multiple Primary Cancer Addressed in Oncogenetic Consultation. Molecular Genetics & Genomic Medicine. 13(3). e70086–e70086. 1 indexed citations
3.
4.
Batisse‐Lignier, Marie, et al.. (2023). Rare duplication of the CDC73 gene and atypical hyperparathyroidism‐jaw tumor syndrome: A case report and review of the literature. Molecular Genetics & Genomic Medicine. 11(5). e2133–e2133. 3 indexed citations
5.
Bubien, Virginie, Nancy Uhrhammer, Maud Privat, et al.. (2023). Diagnosis of PTEN mosaicism: the relevance of additional tumor DNA sequencing. A case report and review of the literature. BMC Medical Genomics. 16(1). 166–166. 6 indexed citations
7.
Uhrhammer, Nancy, et al.. (2020). Feedback of extended panel sequencing in 1530 patients referred for suspicion of hereditary predisposition to adult cancers. Clinical Genetics. 99(1). 166–175. 8 indexed citations
8.
Privat, Maud, Alexandra Martins, Sandrine M. Caputo, et al.. (2019). Is BRCA2 involved in early onset colorectal cancer risk?. Clinical Genetics. 97(4). 668–669. 6 indexed citations
9.
Uhrhammer, Nancy, et al.. (2018). Early Onset Multiple Primary Tumors in Atypical Presentation of Cowden Syndrome Identified by Whole-Exome-Sequencing. Frontiers in Genetics. 9. 353–353. 14 indexed citations
10.
Privat, Maud, et al.. (2017). Antioxydation And Cell Migration Genes Are Identified as Potential Therapeutic Targets in Basal-Like and BRCA1 Mutated Breast Cancer Cell Lines. International Journal of Medical Sciences. 15(1). 46–58. 9 indexed citations
11.
Radosevic‐Robin, Nina, Emiliano Cocco, Helen Won, et al.. (2017). Genomic analyses reveal potential recurrence markers of locally advanced triple negative breast cancer treated by combined neoadjuvant EGFR targeting and chemotherapy. Annals of Oncology. 28. v607–v607. 1 indexed citations
12.
Guerrab, Abderrahim El, Anne Cayre, Fabrice Kwiatkowski, et al.. (2017). Quantification of hypoxia-related gene expression as a potential approach for clinical outcome prediction in breast cancer. PLoS ONE. 12(4). e0175960–e0175960. 13 indexed citations
13.
Privat, Maud, et al.. (2017). miR-10b, miR-26a, miR-146a And miR-153 Expression in Triple Negative Vs Non Triple Negative Breast Cancer: Potential Biomarkers. Pathology & Oncology Research. 23(4). 815–827. 36 indexed citations
15.
Privat, Maud, et al.. (2015). Identification of miR-10b, miR-26a, miR-146a and miR-153 as potential triple-negative breast cancer biomarkers. Cellular Oncology. 38(6). 433–442. 65 indexed citations
16.
Stambouli, Nejla, Houssein Khodjet‐El‐Khil, Nancy Uhrhammer, et al.. (2014). Wild-type genotypes of BRCA1 gene SNPs combined with micro-RNA over-expression in mammary tissue leading to familial breast cancer with an increased risk of distant metastases’ occurrence. Medical Oncology. 31(11). 255–255. 12 indexed citations
17.
Privat, Maud, et al.. (2014). MicroRNAs Expression in Triple Negative vs Non Triple Negative Breast Cancer in Tunisia: Interaction with Clinical Outcome. PLoS ONE. 9(11). e111877–e111877. 31 indexed citations
18.
Privat, Maud, Nina Radosevic‐Robin, Corinne Aubel, et al.. (2014). BRCA1 Induces Major Energetic Metabolism Reprogramming in Breast Cancer Cells. PLoS ONE. 9(7). e102438–e102438. 62 indexed citations
19.
Dominguez–Valentin, Mev, Sabrina Daniela da Silva, Maud Privat, Moulay A. Alaoui‐Jamali, & Yves‐Jean Bignon. (2012). Molecular insights on basal-like breast cancer. Breast Cancer Research and Treatment. 134(1). 21–30. 70 indexed citations
20.
Bousquet, Emilie, Julien Mazières, Maud Privat, et al.. (2009). Loss of RhoB Expression Promotes Migration and Invasion of Human Bronchial Cells Via Activation of AKT1. Cancer Research. 69(15). 6092–6099. 62 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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