Martine Mazel

1.7k total citations
17 papers, 1.4k citations indexed

About

Martine Mazel is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Martine Mazel has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 6 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Martine Mazel's work include Cancer Cells and Metastasis (9 papers), Cancer Genomics and Diagnostics (6 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Martine Mazel is often cited by papers focused on Cancer Cells and Metastasis (9 papers), Cancer Genomics and Diagnostics (6 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Martine Mazel collaborates with scholars based in France, Germany and United States. Martine Mazel's co-authors include Catherine Alix‐Panabières, Laure Cayrefourcq, Klaus Pantel, Jamal Temsamani, Philippe Clair, Danièle Mathieu, William Jacot, Thierry Maudelondé, Pierre Boudinot and Jean‐Pierre Levraud and has published in prestigious journals such as The Journal of Immunology, Cancer Research and Scientific Reports.

In The Last Decade

Martine Mazel

17 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martine Mazel France 15 742 481 451 438 246 17 1.4k
Łukasz Magiera United Kingdom 7 922 1.2× 251 0.5× 455 1.0× 610 1.4× 94 0.4× 10 1.4k
Briana G. Nixon United States 15 520 0.7× 204 0.4× 502 1.1× 563 1.3× 210 0.9× 18 1.3k
Tomoaki Nakagawa Japan 10 790 1.1× 257 0.5× 565 1.3× 445 1.0× 76 0.3× 12 1.4k
Aurelia Rughetti Italy 27 622 0.8× 206 0.4× 954 2.1× 1.0k 2.3× 194 0.8× 81 1.9k
Anda Vlad United States 25 629 0.8× 270 0.6× 989 2.2× 1.0k 2.3× 122 0.5× 53 2.0k
Federica Riccardo Italy 22 244 0.3× 217 0.5× 424 0.9× 359 0.8× 298 1.2× 45 993
Diego de Miguel Spain 18 303 0.4× 385 0.8× 1.2k 2.7× 659 1.5× 70 0.3× 37 1.6k
Ephraim Ansa-Addo United States 19 196 0.3× 246 0.5× 735 1.6× 476 1.1× 86 0.3× 29 1.3k
Claudia R. Ball Germany 17 736 1.0× 239 0.5× 1.2k 2.6× 231 0.5× 71 0.3× 43 1.8k
Mark DeBenedette United States 22 680 0.9× 182 0.4× 490 1.1× 1.8k 4.1× 137 0.6× 37 2.3k

Countries citing papers authored by Martine Mazel

Since Specialization
Citations

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

Fields of papers citing papers by Martine Mazel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martine Mazel

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

All Works

17 of 17 papers shown
1.
Budna, Joanna, Monika Świerczewska, Martine Mazel, et al.. (2020). Circulating Tumor Cells as a Marker of Disseminated Disease in Patients with Newly Diagnosed High-Risk Prostate Cancer. Cancers. 12(1). 160–160. 36 indexed citations
2.
Jacot, William, Martine Mazel, Caroline Mollévi, et al.. (2020). Clinical Correlations of Programmed Cell Death Ligand 1 Status in Liquid and Standard Biopsies in Breast Cancer. Clinical Chemistry. 66(8). 1093–1101. 44 indexed citations
3.
Alix‐Panabières, Catherine, Thierry Lafont, Ben Allal, et al.. (2019). Cetuximab pharmacokinetic/pharmacodynamics relationships in advanced head and neck carcinoma patients. British Journal of Clinical Pharmacology. 85(6). 1357–1366. 19 indexed citations
4.
Budna, Joanna, Monika Świerczewska, Martine Mazel, et al.. (2019). Analysis of Circulating Tumor Cells in Patients with Non-Metastatic High-Risk Prostate Cancer before and after Radiotherapy Using Three Different Enumeration Assays. Cancers. 11(6). 802–802. 24 indexed citations
5.
Garrel, R., Martine Mazel, Laure Cayrefourcq, et al.. (2019). Circulating Tumor Cells as a Prognostic Factor in Recurrent or Metastatic Head and Neck Squamous Cell Carcinoma: The CIRCUTEC Prospective Study. Clinical Chemistry. 65(10). 1267–1275. 39 indexed citations
6.
Hille, Claudia, Tobias M. Gorges, Sabine Riethdorf, et al.. (2019). Detection of Androgen Receptor Variant 7 (ARV7) mRNA Levels in EpCAM-Enriched CTC Fractions for Monitoring Response to Androgen Targeting Therapies in Prostate Cancer. Cells. 8(9). 1067–1067. 24 indexed citations
7.
Jacot, William, Martine Mazel, Caroline Mollévi, et al.. (2018). Abstract 4589: Expression of PD-L1 on circulating breast cancer cells: Correlation with clinicopathologic data and impact on prognosis. Cancer Research. 78(13_Supplement). 4589–4589. 4 indexed citations
8.
Cayrefourcq, Laure, et al.. (2017). EpCAM-Independent Enrichment and Detection of Viable Circulating Tumor Cells Using the EPISPOT Assay. Methods in molecular biology. 1634. 263–276. 32 indexed citations
9.
Strati, Αreti, George Koutsodontis, George Papaxoinis, et al.. (2017). Prognostic significance of PD-L1 expression on circulating tumor cells in patients with head and neck squamous cell carcinoma. Annals of Oncology. 28(8). 1923–1933. 158 indexed citations
10.
Kuske, Andra, Tobias M. Gorges, Pierre Tennstedt, et al.. (2016). Improved detection of circulating tumor cells in non-metastatic high-risk prostate cancer patients. Scientific Reports. 6(1). 39736–39736. 100 indexed citations
11.
Mazel, Martine, William Jacot, Klaus Pantel, et al.. (2015). Frequent expression of PD‐L1 on circulating breast cancer cells. Molecular Oncology. 9(9). 1773–1782. 310 indexed citations
12.
Aggad, Dina, Cornelia Stein, Dirk Sieger, et al.. (2010). In Vivo Analysis of Ifn-γ1 and Ifn-γ2 Signaling in Zebrafish. The Journal of Immunology. 185(11). 6774–6782. 92 indexed citations
13.
Aggad, Dina, Martine Mazel, Pierre Boudinot, et al.. (2009). The Two Groups of Zebrafish Virus-Induced Interferons Signal via Distinct Receptors with Specific and Shared Chains. The Journal of Immunology. 183(6). 3924–3931. 210 indexed citations
14.
Zhang, Yu, Philippe Clair, Kenneth H. Grabstein, et al.. (2003). Induction of Antigen-Specific CTL Responses Using Antigens Conjugated to Short Peptide Vectors. The Journal of Immunology. 170(3). 1498–1503. 8 indexed citations
15.
Drin, Guillaume, Martine Mazel, Philippe Clair, et al.. (2001). Physico‐chemical requirements for cellular uptake of pAntp peptide. European Journal of Biochemistry. 268(5). 1304–1314. 120 indexed citations
16.
Mazel, Martine, Philippe Clair, Christophe Rousselle, et al.. (2001). Doxorubicin-peptide conjugates overcome multidrug resistance. Anti-Cancer Drugs. 12(2). 107–116. 102 indexed citations
17.
Charrasse, Sophie, Martine Mazel, Sylvie Taviaux, et al.. (1995). Characterization of the cDNA and Pattern of Expression of a New Gene Over‐Expressed in Human Hepatomas and Colonic Tumors. European Journal of Biochemistry. 234(2). 406–413. 74 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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