C. Mascaux

869 total citations
22 papers, 704 citations indexed

About

C. Mascaux is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, C. Mascaux has authored 22 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 10 papers in Molecular Biology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in C. Mascaux's work include Lung Cancer Treatments and Mutations (7 papers), Glycosylation and Glycoproteins Research (4 papers) and Lung Cancer Research Studies (4 papers). C. Mascaux is often cited by papers focused on Lung Cancer Treatments and Mutations (7 papers), Glycosylation and Glycoproteins Research (4 papers) and Lung Cancer Research Studies (4 papers). C. Mascaux collaborates with scholars based in Belgium, France and Japan. C. Mascaux's co-authors include Christian Garbar, Sculier Jp, J‐M Verdebout, P. Delmotte, Bradley C. Martin, T. Berghmans, Elizabeth Steels, M. Paesmans, J.J. Lafitte and A-P Meert and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

C. Mascaux

22 papers receiving 680 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Mascaux Belgium 12 375 266 225 113 107 22 704
Alejandro Avilés‐Salas Mexico 14 369 1.0× 249 0.9× 295 1.3× 65 0.6× 70 0.7× 62 768
Wenqing Wang China 15 213 0.6× 252 0.9× 205 0.9× 57 0.5× 180 1.7× 76 632
Adnan Ali United Kingdom 12 136 0.4× 273 1.0× 171 0.8× 141 1.2× 87 0.8× 36 624
Matilde Saggese United Kingdom 14 389 1.0× 377 1.4× 260 1.2× 30 0.3× 76 0.7× 25 804
Dan Sha China 7 372 1.0× 210 0.8× 204 0.9× 45 0.4× 84 0.8× 16 644
Elisa Capizzi Italy 14 206 0.5× 168 0.6× 183 0.8× 54 0.5× 63 0.6× 28 478
Marilisa Cargnelutti Italy 9 221 0.6× 100 0.4× 270 1.2× 53 0.5× 49 0.5× 10 521
J. Laird United States 10 428 1.1× 160 0.6× 242 1.1× 186 1.6× 71 0.7× 17 605
Hideki Amemiya Japan 13 277 0.7× 196 0.7× 171 0.8× 38 0.3× 262 2.4× 17 676
Florencia G. Jalikis United States 9 400 1.1× 66 0.2× 162 0.7× 56 0.5× 82 0.8× 21 626

Countries citing papers authored by C. Mascaux

Since Specialization
Citations

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

Fields of papers citing papers by C. Mascaux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Mascaux

This figure shows the co-authorship network connecting the top 25 collaborators of C. Mascaux. A scholar is included among the top collaborators of C. Mascaux 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 C. Mascaux. C. Mascaux 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.
Okamoto, Isaku, Robin Cornelissen, Min Hee Hong, et al.. (2025). OA10.01 Intracranial Efficacy of Datopotamab Deruxtecan (Dato-DXd) in Patients With Advanced/Metastatic NSCLC in TROPION-Lung01. Journal of Thoracic Oncology. 20(10). S30–S31. 1 indexed citations
2.
3.
Garbar, Christian, C. Mascaux, Yacine Merrouche, & Armand Bensussan. (2018). Triple-negative and HER2-overexpressing breast cancer cell sialylation impacts tumor microenvironment T-lymphocyte subset recruitment: a possible mechanism of tumor escape. Cancer Management and Research. Volume 10. 1051–1059. 9 indexed citations
4.
Boulagnon‐Rombi, Camille, Jérôme Giustiniani, Christian Garbar, et al.. (2018). CD160 Expression in Retinal Vessels Is Associated With Retinal Neovascular Diseases. Investigative Ophthalmology & Visual Science. 59(7). 2679–2679. 5 indexed citations
5.
Garbar, Christian, C. Mascaux, Jérôme Giustiniani, Yacine Merrouche, & Armand Bensussan. (2017). Chemotherapy treatment induces an increase of autophagy in the luminal breast cancer cell MCF7, but not in the triple-negative MDA-MB231. Scientific Reports. 7(1). 7201–7201. 48 indexed citations
6.
7.
Garbar, Christian, C. Mascaux, Hervé Curé, & Armand Bensussan. (2013). MUC1/CD227 IMMUNOHISTOCHEMISTRY IN ROUTINE PRACTICE IS A USEFUL BIOMARKER IN BREAST CANCERS. Journal of Immunoassay and Immunochemistry. 34(3). 232–245. 2 indexed citations
8.
Cochaud, Stéphanie, Jérôme Giustiniani, Clémence Thomas, et al.. (2013). IL-17A is produced by breast cancer TILs and promotes chemoresistance and proliferation through ERK1/2. Scientific Reports. 3(1). 3456–3456. 113 indexed citations
9.
Garbar, Christian & C. Mascaux. (2011). Expression of MUC1 (Ma695) in noninvasive papillary urothelial neoplasm according to the 2004 World Health Organization classification of the noninvasive urothelial neoplasm. An immunologic tool for the pathologist?. PubMed. 33(5). 277–82. 5 indexed citations
10.
Garbar, Christian, Myriam Remmelink, & C. Mascaux. (2008). Fine Needle Aspiration Cytology of Lymph Node. Acta Cytologica. 52(4). 418–423. 20 indexed citations
11.
Garbar, Christian, C. Mascaux, & Eric Wespes. (2008). Expression of MUC1 and sialyl-Tn in benign prostatic glands, high-grade prostate intraepithelial neoplasia and malignant prostatic glands: a preliminary study.. PubMed. 30(2). 71–7. 12 indexed citations
12.
13.
Fontaine, Véronique, C. Mascaux, Christine Weyn, et al.. (2007). Evaluation of Combined General Primer-Mediated PCR Sequencing and Type-Specific PCR Strategies for Determination of Human Papillomavirus Genotypes in Cervical Cell Specimens. Journal of Clinical Microbiology. 45(3). 928–934. 47 indexed citations
14.
Martin, Bradley C., et al.. (2006). EGFR, c-erbB-2 and ki-67 in NSCLC and preneoplastic bronchial lesions.. PubMed. 26(1A). 135–8. 6 indexed citations
15.
Garbar, Christian, C. Mascaux, & Véronique Fontaine. (2005). Efficiency of an inexpensive liquid-based cytology performed by cytocentrifugations: a comparative study using the histology as reference standard.. CytoJournal. 2(1). 15–15. 19 indexed citations
16.
Martin, Bénédicte, M Paesmans, C. Mascaux, et al.. (2003). The role of HER-2/neu expression on the survival of patients with lung cancer: a systematic review of the literature. British Journal of Cancer. 89(6). 959–965. 86 indexed citations
17.
Mascaux, C., et al.. (2003). Fragile histidine triad protein expression in nonsmall cell lung cancer and correlation with Ki-67 and with p53. European Respiratory Journal. 21(5). 753–758. 18 indexed citations
18.
Berghmans, Thierry, et al.. (2003). [Immune responses in broncho-pulmonary cancer].. PubMed. 20(4). 566–79. 1 indexed citations
19.
Meert, A-P, Bradley C. Martin, P. Delmotte, et al.. (2002). The role of EGF-R expression on patient survival in lung cancer: a systematic review with meta-analysis. European Respiratory Journal. 20(4). 975–981. 230 indexed citations
20.
Mascaux, C., Benjamin Martin, Marianne Paesmans, et al.. (2002). Expression of thrombospondin in non-small cell lung cancer.. PubMed. 22(2B). 1273–7. 7 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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