Pierre‐André Bédard

6.7k total citations
29 papers, 665 citations indexed

About

Pierre‐André Bédard is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Pierre‐André Bédard has authored 29 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Oncology and 5 papers in Genetics. Recurrent topics in Pierre‐André Bédard's work include Cancer-related Molecular Pathways (7 papers), Virus-based gene therapy research (5 papers) and Ubiquitin and proteasome pathways (5 papers). Pierre‐André Bédard is often cited by papers focused on Cancer-related Molecular Pathways (7 papers), Virus-based gene therapy research (5 papers) and Ubiquitin and proteasome pathways (5 papers). Pierre‐André Bédard collaborates with scholars based in Canada, United States and Brazil. Pierre‐André Bédard's co-authors include Bruce P. Brandhorst, Daniel L. Simmons, Raymond L. Erikson, E.E. Golds, David A. Alcorta, Ka‐Cheung Luk, Cláudia Barbosa Ladeira de Campos, Rafael Linden, Yvonne M. Yannoni and M. Beauchemin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Pierre‐André Bédard

29 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre‐André Bédard Canada 14 412 134 123 106 76 29 665
Kohji Nomura Japan 15 329 0.8× 120 0.9× 86 0.7× 60 0.6× 45 0.6× 34 729
Gordon P. Moore United States 16 572 1.4× 109 0.8× 121 1.0× 175 1.7× 42 0.6× 24 830
Zhang-qun Chen United States 11 448 1.1× 66 0.5× 222 1.8× 210 2.0× 51 0.7× 16 743
Cristóbal Mezquita Spain 21 781 1.9× 111 0.8× 120 1.0× 255 2.4× 43 0.6× 47 1.1k
Julie Huxley‐Jones United Kingdom 11 221 0.5× 48 0.4× 56 0.5× 74 0.7× 90 1.2× 12 478
Ji-Hou Xin Canada 8 424 1.0× 60 0.4× 99 0.8× 116 1.1× 30 0.4× 11 586
Dominique Morello France 20 1.2k 2.8× 194 1.4× 120 1.0× 214 2.0× 140 1.8× 35 1.5k
Jovita Mezquita Spain 18 544 1.3× 105 0.8× 81 0.7× 154 1.5× 45 0.6× 45 805
Silvia Jordans Germany 6 259 0.6× 67 0.5× 113 0.9× 30 0.3× 96 1.3× 8 558
Julien Cau France 13 506 1.2× 161 1.2× 101 0.8× 50 0.5× 289 3.8× 21 811

Countries citing papers authored by Pierre‐André Bédard

Since Specialization
Citations

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

Fields of papers citing papers by Pierre‐André Bédard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre‐André Bédard. 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 Pierre‐André Bédard. The network helps show where Pierre‐André Bédard may publish in the future.

Co-authorship network of co-authors of Pierre‐André Bédard

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre‐André Bédard. A scholar is included among the top collaborators of Pierre‐André Bédard 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 Pierre‐André Bédard. Pierre‐André Bédard 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.
Erb, Matthias, et al.. (2016). Extracellular Signal-Regulated Kinase 2 and CHOP Restrict the Expression of the Growth Arrest-Specific p20K Lipocalin Gene to G 0. Molecular and Cellular Biology. 36(23). 2890–2902. 3 indexed citations
2.
Wang, Lizhen, et al.. (2011). Pleiotropic Action of AP-1 in v-Src-Transformed Cells. Journal of Virology. 85(13). 6725–6735. 4 indexed citations
3.
4.
Wu, Ying, et al.. (2010). Menin Links the Stress Response to Genome Stability in Drosophila melanogaster. PLoS ONE. 5(11). e14049–e14049. 9 indexed citations
5.
Bédard, Pierre‐André, et al.. (2009). Menin: The Protein Behind the MEN1 Syndrome. Advances in experimental medicine and biology. 668. 27–36. 4 indexed citations
6.
Campos, Cláudia Barbosa Ladeira de, Pierre‐André Bédard, & Rafael Linden. (2006). Requirement of p38 stress-activated MAP kinase for cell death in the developing retina depends on the stage of cell differentiation. Neurochemistry International. 49(5). 494–499. 7 indexed citations
7.
Wu, Ying, et al.. (2005). Menin Is a Regulator of the Stress Response in Drosophila melanogaster. Molecular and Cellular Biology. 25(22). 9960–9972. 31 indexed citations
8.
Campos, Cláudia Barbosa Ladeira de, Pierre‐André Bédard, & Rafael Linden. (2003). Selective involvement of the PI3K/PKB/bad pathway in retinal cell death. Journal of Neurobiology. 56(2). 171–177. 12 indexed citations
9.
Gagliardi, Mark, et al.. (2003). Opposing Roles of C/EBPβ and AP-1 in the Control of Fibroblast Proliferation and Growth Arrest-specific Gene Expression. Journal of Biological Chemistry. 278(44). 43846–43854. 14 indexed citations
10.
Cox, David M., et al.. (2002). Composition and Function of AP-1 Transcription Complexes during Muscle Cell Differentiation. Journal of Biological Chemistry. 277(19). 16426–16432. 68 indexed citations
11.
Campos, Cláudia Barbosa Ladeira de, Pierre‐André Bédard, & Rafael Linden. (2002). Activation of p38 mitogen-activated protein kinase during normal mitosis in the developing retina. Neuroscience. 112(3). 583–591. 28 indexed citations
12.
Gagliardi, Mark, Scott Maynard, Bojana Bojović, & Pierre‐André Bédard. (2001). The constitutive activation of the CEF-4/9E3 chemokine gene depends on C/EBPβ in v-src transformed chicken embryo fibroblasts. Oncogene. 20(18). 2301–2313. 6 indexed citations
13.
Cabannes, Éric, et al.. (1997). Transcriptional and post-transcriptional regulation of κB-controlled genes by pp60v-src. Oncogene. 15(1). 29–43. 11 indexed citations
14.
Bédard, Pierre‐André & E.E. Golds. (1993). Cytokine‐induced expression of mRNAs for chemotactic factors in human synovial cells and fibroblasts. Journal of Cellular Physiology. 154(2). 433–441. 48 indexed citations
15.
Dehbi, Mohammed, et al.. (1992). Transcriptional Activation of the CEF-4/9E3 Cytokine Gene by pp60 v- src . Molecular and Cellular Biology. 12(4). 1490–1499. 7 indexed citations
16.
Dehbi, Mohammed & Pierre‐André Bédard. (1992). Regulation of gene expression in oncogenically transformed cells. Biochemistry and Cell Biology. 70(10-11). 980–997. 10 indexed citations
17.
Xiang, Min, Pierre‐André Bédard, Gary M. Wessel, et al.. (1988). Tandem duplication and divergence of a sea urchin protein belonging to the troponin C superfamily.. Journal of Biological Chemistry. 263(32). 17173–17180. 26 indexed citations
18.
Bédard, Pierre‐André, et al.. (1987). Repression of Quiescence-Specific Polypeptides in Chicken Heart Mesenchymal Cells Transformed by Rous Sarcoma Virus. Molecular and Cellular Biology. 7(4). 1450–1458. 8 indexed citations
19.
Bédard, Pierre‐André & Bruce P. Brandhorst. (1986). Translational activation of maternal mRNA encoding the heat-shock protein hsp90 during sea urchin embryogenesis. Developmental Biology. 117(1). 286–293. 29 indexed citations
20.
Bédard, Pierre‐André & Bruce P. Brandhorst. (1983). Patterns of protein synthesis and metabolism during sea urchin embryogenesis. Developmental Biology. 96(1). 74–83. 45 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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