Guy J. Leclerc

951 total citations
28 papers, 800 citations indexed

About

Guy J. Leclerc is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Hematology. According to data from OpenAlex, Guy J. Leclerc has authored 28 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Public Health, Environmental and Occupational Health and 4 papers in Hematology. Recurrent topics in Guy J. Leclerc's work include Acute Lymphoblastic Leukemia research (9 papers), Metabolism, Diabetes, and Cancer (6 papers) and Biochemical and Molecular Research (5 papers). Guy J. Leclerc is often cited by papers focused on Acute Lymphoblastic Leukemia research (9 papers), Metabolism, Diabetes, and Cancer (6 papers) and Biochemical and Molecular Research (5 papers). Guy J. Leclerc collaborates with scholars based in United States, Spain and India. Guy J. Leclerc's co-authors include Julio C. Barredo, Gilles M. Leclerc, Jeffim N. Kuznetsov, Joanna DeSalvo, Eleanor S. Metcalf, Carmen Tartera, Bert Ely, Guilian Fu, Tapas K. Sengupta and Inderjit Singh and has published in prestigious journals such as Blood, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Guy J. Leclerc

27 papers receiving 789 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guy J. Leclerc United States 14 518 114 96 91 87 28 800
J. Giebel Germany 19 460 0.9× 146 1.3× 99 1.0× 132 1.5× 116 1.3× 69 1.1k
Miranda Wilson United Kingdom 19 652 1.3× 65 0.6× 51 0.5× 122 1.3× 109 1.3× 26 1.2k
Joachim Saas Germany 14 361 0.7× 145 1.3× 82 0.9× 86 0.9× 91 1.0× 15 837
Xiaomin Wang China 18 443 0.9× 93 0.8× 31 0.3× 43 0.5× 65 0.7× 74 856
Cindy M. Yamamoto United States 9 563 1.1× 106 0.9× 106 1.1× 59 0.6× 60 0.7× 11 821
Toshiyuki Nomura Japan 14 475 0.9× 173 1.5× 35 0.4× 128 1.4× 200 2.3× 22 912
Wenhui Zhu China 18 642 1.2× 220 1.9× 33 0.3× 38 0.4× 110 1.3× 48 1.0k
Angelika Bodenteich Austria 14 307 0.6× 41 0.4× 45 0.5× 49 0.5× 96 1.1× 24 764
Dapei Li China 16 451 0.9× 75 0.7× 52 0.5× 35 0.4× 156 1.8× 40 749
Kyoko Kojima United States 18 523 1.0× 124 1.1× 37 0.4× 71 0.8× 162 1.9× 30 860

Countries citing papers authored by Guy J. Leclerc

Since Specialization
Citations

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

Fields of papers citing papers by Guy J. Leclerc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy J. Leclerc. 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 Guy J. Leclerc. The network helps show where Guy J. Leclerc may publish in the future.

Co-authorship network of co-authors of Guy J. Leclerc

This figure shows the co-authorship network connecting the top 25 collaborators of Guy J. Leclerc. A scholar is included among the top collaborators of Guy J. Leclerc 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 Guy J. Leclerc. Guy J. Leclerc 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.
3.
Leclerc, Guy J., et al.. (2021). Protein Kinase D–Dependent Downregulation of Immediate Early Genes through Class IIA Histone Deacetylases in Acute Lymphoblastic Leukemia. Molecular Cancer Research. 19(8). 1296–1307. 3 indexed citations
4.
Leclerc, Gilles M., Shuhua Zheng, Guy J. Leclerc, et al.. (2016). The NEDD8-activating enzyme inhibitor pevonedistat activates the eIF2α and mTOR pathways inducing UPR-mediated cell death in acute lymphoblastic leukemia. Leukemia Research. 50. 1–10. 21 indexed citations
5.
Leclerc, Guy J., Joanna DeSalvo, Jianfeng Du, et al.. (2015). Mcl-1 downregulation leads to the heightened sensitivity exhibited by BCR-ABL positive ALL to induction of energy and ER-stress. Leukemia Research. 39(11). 1246–1254. 9 indexed citations
6.
Leclerc, Gilles M., Guy J. Leclerc, Jeffim N. Kuznetsov, Joanna DeSalvo, & Julio C. Barredo. (2013). Metformin Induces Apoptosis through AMPK-Dependent Inhibition of UPR Signaling in ALL Lymphoblasts. PLoS ONE. 8(8). e74420–e74420. 91 indexed citations
7.
DeSalvo, Joanna, Jeffim N. Kuznetsov, Gilles M. Leclerc, et al.. (2012). Inhibition of Akt Potentiates 2-DG–Induced Apoptosis via Downregulation of UPR in Acute Lymphoblastic Leukemia. Molecular Cancer Research. 10(7). 969–978. 54 indexed citations
8.
Kuznetsov, Jeffim N., Guy J. Leclerc, Gilles M. Leclerc, & Julio C. Barredo. (2011). AMPK and Akt Determine Apoptotic Cell Death following Perturbations of One-Carbon Metabolism by Regulating ER Stress in Acute Lymphoblastic Leukemia. Molecular Cancer Therapeutics. 10(3). 437–447. 82 indexed citations
10.
Leclerc, Guy J., Christopher M. Sanderson, Stephen P. Hunger, Meenakshi Devidas, & Julio C. Barredo. (2010). Folylpolyglutamate Synthetase Gene Transcription is Regulated by a Multiprotein Complex that Binds the TEL-AML1 Fusion in Acute Lymphoblastic Leukemia. Leukemia Research. 34(12). 1601–1609. 10 indexed citations
11.
Leclerc, Gilles M., Guy J. Leclerc, Guilian Fu, & Julio C. Barredo. (2010). AMPK-induced activation of Akt by AICAR is mediated by IGF-1R dependent and independent mechanisms in acute lymphoblastic leukemia. PubMed. 5. 15–15. 72 indexed citations
13.
Leclerc, Guy J., et al.. (2006). Analysis of folylpoly-γ-glutamate synthetase gene expression in human B-precursor ALL and T-lineage ALL cells. BMC Cancer. 6(1). 132–132. 11 indexed citations
14.
Leclerc, Guy J., et al.. (2006). Molecular basis for decreased folylpoly-γ-glutamate synthetase expression in a methotrexate resistant CCRF-CEM mutant cell line. Leukemia Research. 31(3). 293–299. 10 indexed citations
15.
Leclerc, Gilles M., Guy J. Leclerc, Spencer Shorte, L. Stephen Frawley, & Fredric R. Boockfor. (2002). Cloning and mRNA expression of the Ca2+-binding DREAM protein in the pituitary. General and Comparative Endocrinology. 129(1). 45–55. 8 indexed citations
16.
Leclerc, Guy J., Gilles M. Leclerc, & Julio C. Barredo. (2002). Real-time RT-PCR analysis of mRNA decay: half-life of Beta-actin mRNA in human leukemia CCRF-CEM and Nalm-6 cell lines. Cancer Cell International. 2(1). 1–1. 79 indexed citations
17.
Leclerc, Guy J. & Julio C. Barredo. (2001). Folylpoly-gamma-glutamate synthetase gene mRNA splice variants and protein expression in primary human leukemia cells, cell lines, and normal human tissues.. PubMed. 7(4). 942–51. 17 indexed citations
18.
Leclerc, Guy J., et al.. (1996). Circulating serum levels of bFGF, VEGF, and TGF-b1 in patients undergoing PTCA. Journal of the American College of Cardiology. 27(2). 363–363. 3 indexed citations
19.
Mancini, G.B.John, Martial G. Bourassa, Paula Williamson, et al.. (1992). Prognostic importance of quantitative analysis of coronary cineangiograms. The American Journal of Cardiology. 69(12). 1022–1027. 13 indexed citations
20.
Leclerc, Guy J., et al.. (1978). Study of fluorescent treponemal antibody test on cerebrospinal fluid using monospecific anti-immunoglobulin conjugates IgG, IgM, and IgA.. PubMed. 54(5). 303–8. 14 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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