Mathieu Tremblay

1.2k total citations
23 papers, 735 citations indexed

About

Mathieu Tremblay is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Mathieu Tremblay has authored 23 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Hematology and 4 papers in Oncology. Recurrent topics in Mathieu Tremblay's work include Acute Myeloid Leukemia Research (4 papers), Renal and related cancers (4 papers) and CAR-T cell therapy research (3 papers). Mathieu Tremblay is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Renal and related cancers (4 papers) and CAR-T cell therapy research (3 papers). Mathieu Tremblay collaborates with scholars based in Canada, United States and China. Mathieu Tremblay's co-authors include Maxime Bouchard, Trang Hoang, Oraly Sanchez-Ferras, Sabine Herblot, Éric Lécuyer, Josée Hébert, Cédric S. Tremblay, Peter D. Aplan, Salvatore Carbonetto and Claude Perreault and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Mathieu Tremblay

23 papers receiving 726 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathieu Tremblay Canada 16 494 141 129 116 107 23 735
Karen E. Brown United States 11 736 1.5× 210 1.5× 89 0.7× 176 1.5× 76 0.7× 16 1.1k
Kostandin V. Pajcini United States 13 495 1.0× 96 0.7× 103 0.8× 31 0.3× 110 1.0× 22 774
Yizhou Huang China 14 637 1.3× 127 0.9× 89 0.7× 46 0.4× 117 1.1× 35 880
María Castellà Spain 16 913 1.8× 159 1.1× 140 1.1× 44 0.4× 235 2.2× 23 1.2k
Takahiro Suzuki Japan 14 590 1.2× 128 0.9× 112 0.9× 35 0.3× 139 1.3× 22 944
Vashe Chandrakanthan Australia 13 564 1.1× 84 0.6× 60 0.5× 195 1.7× 76 0.7× 18 787
Odile Weber Germany 5 357 0.7× 206 1.5× 51 0.4× 65 0.6× 58 0.5× 6 671
Maia V. Ouspenskaia United States 14 622 1.3× 45 0.3× 141 1.1× 140 1.2× 77 0.7× 16 876
Marie Trková Czechia 13 272 0.6× 42 0.3× 97 0.8× 97 0.8× 146 1.4× 33 589

Countries citing papers authored by Mathieu Tremblay

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Tremblay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Tremblay

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Tremblay. A scholar is included among the top collaborators of Mathieu Tremblay 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 Mathieu Tremblay. Mathieu Tremblay 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.
Veiga, Diogo F. T., Mathieu Tremblay, Bastien Gerby, et al.. (2022). Monoallelic Heb/Tcf12 Deletion Reduces the Requirement for NOTCH1 Hyperactivation in T-Cell Acute Lymphoblastic Leukemia. Frontiers in Immunology. 13. 867443–867443. 3 indexed citations
2.
Tremblay, Mathieu, et al.. (2022). Anthropometrics, Athletic Abilities and Perceptual-Cognitive Skills Associated With Baseball Pitching Velocity in Young Athletes Aged Between 10 and 22 Years Old. Frontiers in Sports and Active Living. 4. 822454–822454. 6 indexed citations
3.
Tremblay, Mathieu, et al.. (2020). Regulation of stem/progenitor cell maintenance by BMP5 in prostate homeostasis and cancer initiation. eLife. 9. 18 indexed citations
4.
Tremblay, Mathieu, et al.. (2020). Individual factors associated with baseball pitching performance: scoping review. BMJ Open Sport & Exercise Medicine. 6(1). e000704–e000704. 17 indexed citations
5.
Shafer, Maxwell E. R., Mathieu Tremblay, Mélanie Béland, et al.. (2017). Lineage Specification from Prostate Progenitor Cells Requires Gata3-Dependent Mitotic Spindle Orientation. Stem Cell Reports. 8(4). 1018–1031. 13 indexed citations
6.
Sharma, Richa, Maxwell E. R. Shafer, Eric Bareke, et al.. (2017). Bmp signaling maintains a mesoderm progenitor cell state in the mouse tailbud. Development. 144(16). 2982–2993. 11 indexed citations
7.
Gaitan, Yaned, Maxwell E. R. Shafer, Lamine Aoudjit, et al.. (2016). A Point Mutation in p190A RhoGAP Affects Ciliogenesis and Leads to Glomerulocystic Kidney Defects. PLoS Genetics. 12(2). e1005785–e1005785. 17 indexed citations
8.
9.
Gerby, Bastien, Cédric S. Tremblay, Mathieu Tremblay, et al.. (2014). SCL, LMO1 and Notch1 Reprogram Thymocytes into Self-Renewing Cells. PLoS Genetics. 10(12). e1004768–e1004768. 51 indexed citations
10.
Gaitan, Yaned, et al.. (2013). A core transcriptional network composed of Pax2/8, Gata3 and Lim1 regulates key players of pro/mesonephros morphogenesis. Developmental Biology. 382(2). 555–566. 51 indexed citations
11.
Lacombe, Julie, Gorazd Krosl, Mathieu Tremblay, et al.. (2013). Genetic interaction between Kit and Scl. Blood. 122(7). 1150–1161. 19 indexed citations
12.
Tremblay, Mathieu, Katharina Haigh, Ismaël Hervé Koumakpayi, et al.. (2013). Gata3 antagonizes cancer progression in Pten-deficient prostates. Human Molecular Genetics. 22(12). 2400–2410. 29 indexed citations
13.
Tremblay, Mathieu, Cédric S. Tremblay, Sabine Herblot, et al.. (2010). Modeling T-cell acute lymphoblastic leukemia induced by the SCL and LMO1 oncogenes. Genes & Development. 24(11). 1093–1105. 92 indexed citations
14.
Topisirović, Ivan, Nadeem Siddiqui, Slobodanka Orolicki, et al.. (2008). Stability of Eukaryotic Translation Initiation Factor 4E mRNA Is Regulated by HuR, and This Activity Is Dysregulated in Cancer. Molecular and Cellular Biology. 29(5). 1152–1162. 68 indexed citations
15.
Lécuyer, Éric, Marie‐Claude Sincennes, André Haman, et al.. (2007). Protein Stability and Transcription Factor Complex Assembly Determined by the SCL-LMO2 Interaction. Journal of Biological Chemistry. 282(46). 33649–33658. 34 indexed citations
16.
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
17.
Tremblay, Mathieu, André Haman, Benoı̂t Grondin, et al.. (2007). The RARa-PLZF Oncogenic Protein Inhibits C/EBPa Function in Myeloid Cells.. Blood. 110(11). 1825–1825. 1 indexed citations
18.
Tremblay, Mathieu & Salvatore Carbonetto. (2006). An Extracellular Pathway for Dystroglycan Function in Acetylcholine Receptor Aggregation and Laminin Deposition in Skeletal Myotubes. Journal of Biological Chemistry. 281(19). 13365–13373. 16 indexed citations
19.
Tremblay, Mathieu, et al.. (2005). Evidence That Dystroglycan Is Associated with Dynamin and Regulates Endocytosis. Journal of Biological Chemistry. 280(18). 18015–18024. 25 indexed citations
20.
Tremblay, Mathieu, Sabine Herblot, Éric Lécuyer, & Trang Hoang. (2003). Regulation of pTα Gene Expression by a Dosage of E2A, HEB, and SCL. Journal of Biological Chemistry. 278(15). 12680–12687. 49 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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