Martine Cazalès

1.0k total citations
18 papers, 775 citations indexed

About

Martine Cazalès is a scholar working on Cell Biology, Molecular Biology and Oncology. According to data from OpenAlex, Martine Cazalès has authored 18 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cell Biology, 7 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Martine Cazalès's work include Microtubule and mitosis dynamics (8 papers), Ubiquitin and proteasome pathways (6 papers) and Protein Tyrosine Phosphatases (6 papers). Martine Cazalès is often cited by papers focused on Microtubule and mitosis dynamics (8 papers), Ubiquitin and proteasome pathways (6 papers) and Protein Tyrosine Phosphatases (6 papers). Martine Cazalès collaborates with scholars based in France, United Kingdom and Italy. Martine Cazalès's co-authors include Bernard Ducommun, Claude Prigent, Valérie Lobjois, Bernard Monsarrat, Véronique Baldin, Muriel Quaranta, Odile Mondésert, Christine Dozier, Céline Frongia and Gladys Mirey and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Martine Cazalès

17 papers receiving 769 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 Cazalès France 13 533 414 303 104 46 18 775
Delquin Gong United States 11 858 1.6× 218 0.5× 197 0.7× 93 0.9× 71 1.5× 12 1.1k
Amanda E. Boggs United States 11 368 0.7× 350 0.8× 253 0.8× 148 1.4× 102 2.2× 13 718
Anne-Marie C. Yvon United States 6 446 0.8× 466 1.1× 102 0.3× 16 0.2× 16 0.3× 8 635
Konstadinos Moissoglu United States 17 738 1.4× 427 1.0× 126 0.4× 56 0.5× 99 2.2× 20 1.0k
David A. Canton United States 17 548 1.0× 186 0.4× 204 0.7× 26 0.3× 31 0.7× 38 831
Niklas Larsson Sweden 13 910 1.7× 832 2.0× 268 0.9× 24 0.2× 58 1.3× 19 1.3k
Yinghua Guan United States 11 561 1.1× 178 0.4× 121 0.4× 45 0.4× 34 0.7× 12 753
Ann M. De Mazière Netherlands 8 567 1.1× 318 0.8× 270 0.9× 33 0.3× 26 0.6× 8 941
Manuel Eguren Spain 11 549 1.0× 346 0.8× 158 0.5× 25 0.2× 32 0.7× 15 722
Iman van den Bout South Africa 12 700 1.3× 423 1.0× 86 0.3× 30 0.3× 68 1.5× 23 975

Countries citing papers authored by Martine Cazalès

Since Specialization
Citations

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

Fields of papers citing papers by Martine Cazalès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martine Cazalès

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

All Works

18 of 18 papers shown
1.
Cazalès, Martine, Thomas Mangeat, Amsha Proag, et al.. (2025). Compressive stress drives morphogenetic apoptosis through lateral tension and Piezo. Cell Reports. 44(9). 116161–116161.
2.
Weiss, Pierre, Martine Cazalès, Ariane Herbulot, et al.. (2019). Measure and characterization of the forces exerted by growing multicellular spheroids using microdevice arrays. PLoS ONE. 14(5). e0217227–e0217227. 13 indexed citations
3.
Andilla, Jordi, Omar E. Olarte, Alexandre Dufour, et al.. (2017). Imaging tissue-mimic with light sheet microscopy: A comparative guideline. Scientific Reports. 7(1). 44939–44939. 30 indexed citations
4.
Dimarco, Giacomo, et al.. (2017). Are Tumor Cell Lineages Solely Shaped by Mechanical Forces?. Bulletin of Mathematical Biology. 79(10). 2356–2393. 2 indexed citations
5.
Coudret, Christophe, Clément Roux, Florence Benoît‐Marquié, et al.. (2017). Rational Hydrogel Formulation Leads to Reversible and Enhanced Photocontrolled Rigidity. ChemPhotoChem. 1(7). 311–316. 6 indexed citations
6.
Saïas, Laure, et al.. (2015). Cell–Cell Adhesion and Cytoskeleton Tension Oppose Each Other in Regulating Tumor Cell Aggregation. Cancer Research. 75(12). 2426–2433. 58 indexed citations
7.
Frongia, Céline, et al.. (2013). Multicellular tumor spheroid models to explore cell cycle checkpoints in 3D. BMC Cancer. 13(1). 73–73. 97 indexed citations
8.
Ducommun, Bernard, et al.. (2013). Abstract 4404: Multicellular tumor spheroid models to evaluate drugs targeting cell cycle checkpoints in 3D.. Cancer Research. 73(8_Supplement). 4404–4404. 1 indexed citations
9.
Jullien, Denis, Béatrix Bugler, Christine Dozier, Martine Cazalès, & Bernard Ducommun. (2011). Identification of N-Terminally Truncated Stable Nuclear Isoforms of CDC25B That Are Specifically Involved in G2/M Checkpoint Recovery. Cancer Research. 71(5). 1968–1977. 11 indexed citations
10.
Aressy, Bernadette, Denis Jullien, Martine Cazalès, et al.. (2010). A screen for deubiquitinating enzymes involved in the G2/M checkpoint identifies USP50 as a regulator of HSP90-dependent Wee1 stability. Cell Cycle. 9(18). 3839–3846. 38 indexed citations
11.
Familiadès, J, Lionel Lacassagne, Hélène Halley, et al.. (2008). Decreased motivational properties of morphine in mouse models of cancerous- or inflammatory-chronic pain: Implication of supraspinal neuropeptide FF2 receptors. Neuroscience. 157(1). 12–21. 18 indexed citations
12.
Cazalès, Martine, et al.. (2007). Pharmacologic inhibition of CDC25 phosphatases impairs interphase microtubule dynamics and mitotic spindle assembly. Molecular Cancer Therapeutics. 6(1). 318–325. 23 indexed citations
13.
Cazalès, Martine, Estelle Schmitt, Émilie Montembault, et al.. (2005). CDC25B Phosphorylation by Aurora A Occurs at the G2/M Transition and is Inhibited by DNA Damage. Cell Cycle. 4(9). 1233–1238. 92 indexed citations
14.
Dutertre, Stéphanie, Martine Cazalès, Muriel Quaranta, et al.. (2004). Phosphorylation of CDC25B by Aurora-A at the centrosome contributes to the G2–M transition. Journal of Cell Science. 117(12). 2523–2531. 213 indexed citations
15.
Brézak, Marie-Christine, Muriel Quaranta, Odile Mondésert, et al.. (2004). A Novel Synthetic Inhibitor of CDC25 Phosphatases. Cancer Research. 64(9). 3320–3325. 56 indexed citations
16.
Filhol, Odile, Carine Froment, Martine Cazalès, et al.. (2003). Protein kinase CK2 regulates CDC25B phosphatase activity. Oncogene. 22(2). 220–232. 64 indexed citations
17.
Baldin, Véronique, Clarisse Benne, Carine Froment, et al.. (2003). PKB/Akt phosphorylates the CDC25B phosphatase and regulates its intracellular localisation. Biology of the Cell. 95(8). 547–554. 34 indexed citations
18.
Baldin, Véronique, et al.. (2002). Nuclear Localization of CDC25B1 and Serine 146 Integrity Are Required for Induction of Mitosis. Journal of Biological Chemistry. 277(38). 35176–35182. 19 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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