François Béliveau

603 total citations
17 papers, 394 citations indexed

About

François Béliveau is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, François Béliveau has authored 17 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 8 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in François Béliveau's work include Trace Elements in Health (5 papers), Iron Metabolism and Disorders (5 papers) and Hemoglobinopathies and Related Disorders (5 papers). François Béliveau is often cited by papers focused on Trace Elements in Health (5 papers), Iron Metabolism and Disorders (5 papers) and Hemoglobinopathies and Related Disorders (5 papers). François Béliveau collaborates with scholars based in Canada, France and United States. François Béliveau's co-authors include Richard Leduc, Antoine Désilets, Aurélie Bedel, Sandrine Dabernat, Hubert de Verneuil, François Moreau‐Gaudry, Sébastien P. Dion, Isabelle Lamrissi‐Garcia, Reinhild Kappelhoff and Christopher M. Overall and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

François Béliveau

17 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
François Béliveau Canada 12 179 110 86 71 59 17 394
Rene Pagila United States 5 236 1.3× 287 2.6× 59 0.7× 80 1.1× 32 0.5× 6 557
Galit Granot Israel 13 290 1.6× 206 1.9× 103 1.2× 83 1.2× 12 0.2× 28 503
Roger Mosselmans Belgium 11 161 0.9× 53 0.5× 28 0.3× 101 1.4× 42 0.7× 18 394
N Gutman France 14 167 0.9× 128 1.2× 221 2.6× 68 1.0× 24 0.4× 30 483
Daniel K. Afosah United States 13 97 0.5× 104 0.9× 94 1.1× 41 0.6× 18 0.3× 26 365
J Stenflo Sweden 9 200 1.1× 326 3.0× 152 1.8× 33 0.5× 83 1.4× 10 589
Nina Kurrle Germany 13 345 1.9× 125 1.1× 39 0.5× 39 0.5× 11 0.2× 24 549
Flora Luo United States 7 205 1.1× 23 0.2× 42 0.5× 100 1.4× 13 0.2× 9 390
Akiko Sakashita Japan 11 481 2.7× 227 2.1× 39 0.5× 108 1.5× 17 0.3× 30 658
J Spragg United States 11 143 0.8× 117 1.1× 240 2.8× 34 0.5× 37 0.6× 23 482

Countries citing papers authored by François Béliveau

Since Specialization
Citations

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

Fields of papers citing papers by François Béliveau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Béliveau

This figure shows the co-authorship network connecting the top 25 collaborators of François Béliveau. A scholar is included among the top collaborators of François Béliveau 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 François Béliveau. François Béliveau 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.
Béliveau, François, et al.. (2024). Unveiling the Complexity of KMT2A Rearrangements in Acute Myeloid Leukemias with Optical Genome Mapping. Cancers. 16(24). 4171–4171. 4 indexed citations
2.
Spinella, Jean-François, Jalila Chagraoui, Céline Moison, et al.. (2023). DELE1 haploinsufficiency causes resistance to mitochondrial stress-induced apoptosis in monosomy 5/del(5q) AML. Leukemia. 38(3). 530–537. 4 indexed citations
3.
Désilets, Antoine, et al.. (2020). Matriptase processing of APLP1 ectodomain alters its homodimerization. Scientific Reports. 10(1). 10091–10091. 1 indexed citations
4.
Béliveau, François, Sébastien P. Dion, Antoine Désilets, et al.. (2019). Discovery and Development of TMPRSS6 Inhibitors Modulating Hepcidin Levels in Human Hepatocytes. Cell chemical biology. 26(11). 1559–1572.e9. 25 indexed citations
5.
Dion, Sébastien P., François Béliveau, Louis–Philippe Morency, et al.. (2018). Functional diversity of TMPRSS6 isoforms and variants expressed in hepatocellular carcinoma cell lines. Scientific Reports. 8(1). 12 indexed citations
6.
Dion, Sébastien P., François Béliveau, Antoine Désilets, Mariana Gabriela Ghinet, & Richard Leduc. (2018). Transcriptome analysis reveals TMPRSS6 isoforms with distinct functionalities. Journal of Cellular and Molecular Medicine. 22(4). 2498–2509. 10 indexed citations
7.
Désilets, Antoine, François Béliveau, Mariana Gabriela Ghinet, et al.. (2017). Modulating the selectivity of matriptase-2 inhibitors with unnatural amino acids. European Journal of Medicinal Chemistry. 129. 110–123. 17 indexed citations
8.
Désilets, Antoine, François Béliveau, Anthony Flamier, et al.. (2017). The type II transmembrane serine protease matriptase cleaves the amyloid precursor protein and reduces its processing to β-amyloid peptide. Journal of Biological Chemistry. 292(50). 20669–20682. 17 indexed citations
9.
Mahon, F-X, Isabelle Lamrissi‐Garcia, Isabelle Moranvillier, et al.. (2016). Effect of tyrosine kinase inhibitors on stemness in normal and chronic myeloid leukemia cells. Leukemia. 31(1). 65–74. 11 indexed citations
10.
Bedel, Aurélie, François Béliveau, Isabelle Lamrissi‐Garcia, et al.. (2016). Preventing Pluripotent Cell Teratoma in Regenerative Medicine Applied to Hematology Disorders. Stem Cells Translational Medicine. 6(2). 382–393. 50 indexed citations
11.
Dufour, Antoine, Ulrich Eckhard, Reinhild Kappelhoff, et al.. (2014). Cleavage Specificity Analysis of Six Type II Transmembrane Serine Proteases (TTSPs) Using PICS with Proteome-Derived Peptide Libraries. PLoS ONE. 9(9). e105984–e105984. 44 indexed citations
12.
Tang, Xi, Sumit Mahajan, Liem T. Nguyen, et al.. (2014). Targeted inhibition of cell-surface serine protease Hepsin blocks prostate cancer bone metastasis. Oncotarget. 5(5). 1352–1362. 33 indexed citations
13.
Bedel, Aurélie, Jean‐Max Pasquet, Éric Lippert, et al.. (2013). Variable Behavior of iPSCs Derived from CML Patients for Response to TKI and Hematopoietic Differentiation. PLoS ONE. 8(8). e71596–e71596. 24 indexed citations
14.
Béliveau, François. (2012). Spécificité enzymatique et régulation fonctionnelle de la matriptase-2, une protéase à sérine transmembranaire de type II essentielle à l'homéostasie du fer. Knowledge UdeS (Institutional Deposit of the University of Sherbrooke). 1 indexed citations
15.
Béliveau, François, Cédric Brulé, Antoine Désilets, et al.. (2011). Essential Role of Endocytosis of the Type II Transmembrane Serine Protease TMPRSS6 in Regulating Its Functionality. Journal of Biological Chemistry. 286(33). 29035–29043. 21 indexed citations
16.
Béliveau, François, Antoine Désilets, & Richard Leduc. (2009). Probing the substrate specificities of matriptase, matriptase‐2, hepsin and DESC1 with internally quenched fluorescent peptides. FEBS Journal. 276(8). 2213–2226. 83 indexed citations
17.
Désilets, Antoine, et al.. (2008). Mutation G827R in Matriptase Causing Autosomal Recessive Ichthyosis with Hypotrichosis Yields an Inactive Protease. Journal of Biological Chemistry. 283(16). 10535–10542. 37 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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