M. Lafitte

972 total citations
28 papers, 723 citations indexed

About

M. Lafitte is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, M. Lafitte has authored 28 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Surgery. Recurrent topics in M. Lafitte's work include PI3K/AKT/mTOR signaling in cancer (3 papers), RNA Interference and Gene Delivery (2 papers) and Cardiac Imaging and Diagnostics (2 papers). M. Lafitte is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (3 papers), RNA Interference and Gene Delivery (2 papers) and Cardiac Imaging and Diagnostics (2 papers). M. Lafitte collaborates with scholars based in France, United States and Switzerland. M. Lafitte's co-authors include Serge Roche, Audrey Sirvent, Laura H. Rosenberg, Derek R. Duckett, Sai Pradeep Velagapudi, Christopher L. Haga, Donald G. Phinney, Matthew D. Disney, Michael D. Cameron and Stéphane Lafitte and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Cancer Research.

In The Last Decade

M. Lafitte

26 papers receiving 711 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Lafitte France 14 401 146 146 116 105 28 723
Hanhua Huang United States 9 595 1.5× 182 1.2× 262 1.8× 78 0.7× 80 0.8× 14 869
Katie O’Callaghan United States 11 480 1.2× 153 1.0× 223 1.5× 86 0.7× 37 0.4× 19 904
Jimmy J.H. Kang Canada 10 312 0.8× 197 1.3× 78 0.5× 124 1.1× 45 0.4× 50 671
Jon S. Zawistowski United States 17 603 1.5× 206 1.4× 133 0.9× 32 0.3× 62 0.6× 28 1.5k
Julie DeWever Belgium 12 335 0.8× 151 1.0× 207 1.4× 69 0.6× 112 1.1× 13 786
Angela Russo United States 20 537 1.3× 142 1.0× 141 1.0× 58 0.5× 24 0.2× 38 1.0k
Ulrike Seay Germany 11 389 1.0× 77 0.5× 116 0.8× 78 0.7× 38 0.4× 15 672
C. Leann Hinkle United States 6 374 0.9× 302 2.1× 113 0.8× 29 0.3× 116 1.1× 6 809
Laila Siam Germany 10 475 1.2× 228 1.6× 186 1.3× 91 0.8× 44 0.4× 12 982
Nicolas Prévost United States 14 440 1.1× 159 1.1× 142 1.0× 193 1.7× 32 0.3× 21 1.2k

Countries citing papers authored by M. Lafitte

Since Specialization
Citations

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

Fields of papers citing papers by M. Lafitte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Lafitte

This figure shows the co-authorship network connecting the top 25 collaborators of M. Lafitte. A scholar is included among the top collaborators of M. Lafitte 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 M. Lafitte. M. Lafitte 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.
Lafitte, M., Audrey Sirvent, Valérie Simon, et al.. (2022). Regulation of Src tumor activity by its N-terminal intrinsically disordered region. Oncogene. 41(7). 960–970. 12 indexed citations
2.
Lafitte, M.. (2021). French population behaviors during lock down and confinement due to Covid-19 crisis. Archives of Cardiovascular Diseases Supplements. 13(1). 129–130.
3.
Sirvent, Audrey, et al.. (2020). Src Family Tyrosine Kinases in Intestinal Homeostasis, Regeneration and Tumorigenesis. Cancers. 12(8). 2014–2014. 17 indexed citations
4.
Lafitte, M., Audrey Sirvent, & Serge Roche. (2020). Collagen Kinase Receptors as Potential Therapeutic Targets in Metastatic Colon Cancer. Frontiers in Oncology. 10. 125–125. 44 indexed citations
5.
Lafitte, M., et al.. (2019). Roles of exosomes in metastatic colorectal cancer. American Journal of Physiology-Cell Physiology. 317(5). C869–C880. 31 indexed citations
6.
Sirvent, Audrey, M. Lafitte, & Serge Roche. (2018). DDR1 inhibition as a new therapeutic strategy for colorectal cancer. Molecular & Cellular Oncology. 5(4). e1465882–e1465882. 17 indexed citations
7.
Jeitany, Maya, Cédric Leroy, M. Lafitte, et al.. (2018). Inhibition of DDR 1‐ BCR signalling by nilotinib as a new therapeutic strategy for metastatic colorectal cancer. EMBO Molecular Medicine. 10(4). 90 indexed citations
8.
Guérard, Arnaud, Ahmet Ayav, Helen K. Busby, et al.. (2017). Early liver metastases in resectable periampullary cancer: Incidence and risk factors. European Journal of Radiology. 93. 265–272. 3 indexed citations
9.
Rosenberg, Laura H., M. Lafitte, Wayne Grant, et al.. (2015). Development of an HTS-Compatible Assay for the Discovery of Ulk1 Inhibitors. SLAS DISCOVERY. 20(7). 913–920. 6 indexed citations
10.
Lafitte, M., V. Laurent, Philippe Soyer, et al.. (2015). MDCT features of hepatocellular carcinoma (HCC) in non-cirrhotic liver. Diagnostic and Interventional Imaging. 97(3). 355–360. 17 indexed citations
11.
Lafitte, M., Víctor Quereda, Daniel Feurstein, et al.. (2015). Identification of an EGFRvIII-JNK2-HGF/c-Met–Signaling Axis Required for Intercellular Crosstalk and Glioblastoma Multiforme Cell Invasion. Molecular Pharmacology. 88(6). 962–969. 15 indexed citations
12.
Lafitte, M., Ahmet Ayav, Aude Bressenot, et al.. (2013). Radiologic-pathologic correlation in liver angiomyolipoma in a 68-year-old woman. Diagnostic and Interventional Imaging. 94(11). 1161–1164. 1 indexed citations
13.
14.
Lafitte, M., Isabelle Moranvillier, Stéphane Garcia, et al.. (2013). FGFR3 has tumor suppressor properties in cells with epithelial phenotype. Molecular Cancer. 12(1). 83–83. 36 indexed citations
15.
Lafitte, M., Benoı̂t Rousseau, Isabelle Moranvillier, et al.. (2012). In vivo gene transfer targeting in pancreatic adenocarcinoma with cell surface antigens. Molecular Cancer. 11(1). 81–81. 16 indexed citations
16.
Jones, Natalie, Françoise Bonnet, M. Lafitte, et al.. (2009). Comprehensive Analysis of PTEN Allelic Status Confirms Gross Genomic Rearrangement as the Main Mechanism of PTEN Inactivation in Sporadic Breast Carcinomas.. Cancer Research. 69(24_Supplement). 3151–3151. 1 indexed citations
17.
Lafitte, Stéphane, Patricia Réant, Fabienne Picard, et al.. (2008). Automated function imaging: a new operator-independent strain method for assessing left ventricular function. Archives of cardiovascular diseases. 101(3). 163–169. 103 indexed citations
18.
Barandon, Laurent, Philippe Richebé, M. Lafitte, et al.. (2008). Off-pump coronary artery bypass surgery in very high-risk patients: adjustment and preliminary results. Interactive Cardiovascular and Thoracic Surgery. 7(5). 789–793. 12 indexed citations
19.
Barandon, Laurent, et al.. (2008). Assessing cardiovascular risk factors after coronary artery bypass surgery: value of an aggressive strategy including systematic follow-up. Archives of cardiovascular diseases. 101(3). 155–162. 2 indexed citations
20.
Lafitte, Stéphane, Karim Serri, Patricia Réant, et al.. (2005). [Echocardiography and biventricular resynchronisation].. PubMed. 98 Spec No 3. 41–7.

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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