Martin Lefrançois

835 total citations
8 papers, 634 citations indexed

About

Martin Lefrançois is a scholar working on Molecular Biology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Martin Lefrançois has authored 8 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Martin Lefrançois's work include Cell death mechanisms and regulation (2 papers), Cancer Mechanisms and Therapy (2 papers) and T-cell and B-cell Immunology (2 papers). Martin Lefrançois is often cited by papers focused on Cell death mechanisms and regulation (2 papers), Cancer Mechanisms and Therapy (2 papers) and T-cell and B-cell Immunology (2 papers). Martin Lefrançois collaborates with scholars based in Canada, United States and France. Martin Lefrançois's co-authors include Marc Therrien, Malha Sahmi, Frank Sicheri, Thanashan Rajakulendran, Caroline Baril, Christian M. Udell, Dariel Ashton‐Beaucage, Patrick Gendron, Trang Hoang and Pierre Chagnon and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Martin Lefrançois

8 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Lefrançois Canada 7 532 107 95 72 68 8 634
Malha Sahmi Canada 12 721 1.4× 144 1.3× 142 1.5× 75 1.0× 115 1.7× 17 886
Tirtha K. Das United States 11 403 0.8× 162 1.5× 120 1.3× 71 1.0× 38 0.6× 16 613
Sirlester A. Parker United States 9 546 1.0× 177 1.7× 111 1.2× 91 1.3× 33 0.5× 9 664
Daisy Lio Australia 10 365 0.7× 42 0.4× 111 1.2× 85 1.2× 36 0.5× 16 541
Natalie L. Stephenson United Kingdom 10 501 0.9× 69 0.6× 107 1.1× 56 0.8× 45 0.7× 15 676
Danislav S. Spassov United States 14 449 0.8× 66 0.6× 110 1.2× 93 1.3× 19 0.3× 22 660
Gloria Reyes United States 11 441 0.8× 66 0.6× 98 1.0× 44 0.6× 101 1.5× 13 563
Ricarda Herr Germany 10 571 1.1× 170 1.6× 242 2.5× 43 0.6× 90 1.3× 12 742
Nicole St‐Denis Canada 11 713 1.3× 191 1.8× 166 1.7× 79 1.1× 26 0.4× 11 901
Jonelle K. Drugan United States 9 707 1.3× 150 1.4× 109 1.1× 35 0.5× 42 0.6× 11 774

Countries citing papers authored by Martin Lefrançois

Since Specialization
Citations

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

Fields of papers citing papers by Martin Lefrançois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Lefrançois

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

All Works

8 of 8 papers shown
1.
Maisonneuve, Pierre, Malha Sahmi, Martin Lefrançois, et al.. (2024). The CNK–HYP scaffolding complex promotes RAF activation by enhancing KSR–MEK interaction. Nature Structural & Molecular Biology. 31(7). 1028–1038. 2 indexed citations
2.
Kachaner, David, Jessica K. Gagnon, Malha Sahmi, et al.. (2023). CNK2 promotes cancer cell motility by mediating ARF6 activation downstream of AXL signalling. Nature Communications. 14(1). 3560–3560. 6 indexed citations
3.
Ashton‐Beaucage, Dariel, Christian M. Udell, Patrick Gendron, et al.. (2014). A Functional Screen Reveals an Extensive Layer of Transcriptional and Splicing Control Underlying RAS/MAPK Signaling in Drosophila. PLoS Biology. 12(3). e1001809–e1001809. 49 indexed citations
4.
Baril, Caroline, Martin Lefrançois, Malha Sahmi, Helene Knævelsrud, & Marc Therrien. (2014). Apical Accumulation of the Sevenless Receptor Tyrosine Kinase During Drosophila Eye Development Is Promoted by the Small GTPase Rap1. Genetics. 197(4). 1237–1250. 7 indexed citations
5.
Ashton‐Beaucage, Dariel, Christian M. Udell, Hugo Lavoie, et al.. (2010). The Exon Junction Complex Controls the Splicing of mapk and Other Long Intron-Containing Transcripts in Drosophila. Cell. 143(2). 251–262. 100 indexed citations
6.
Rajakulendran, Thanashan, Malha Sahmi, Martin Lefrançois, Frank Sicheri, & Marc Therrien. (2009). A dimerization-dependent mechanism drives RAF catalytic activation. Nature. 461(7263). 542–545. 367 indexed citations
7.
Grondin, Benoı̂t, Martin Lefrançois, Mathieu Tremblay, et al.. (2007). c-Jun Homodimers Can Function as a Context-Specific Coactivator. Molecular and Cellular Biology. 27(8). 2919–2933. 40 indexed citations
8.
Krosl, Gorazd, Gang He, Martin Lefrançois, et al.. (1998). Transcription Factor SCL Is Required for c-kit Expression and c-Kit Function in Hemopoietic Cells. The Journal of Experimental Medicine. 188(3). 439–450. 63 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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