Jacques Simard

45.0k total citations · 1 hit paper
295 papers, 13.8k citations indexed

About

Jacques Simard is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Jacques Simard has authored 295 papers receiving a total of 13.8k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Genetics, 115 papers in Endocrinology, Diabetes and Metabolism and 106 papers in Molecular Biology. Recurrent topics in Jacques Simard's work include BRCA gene mutations in cancer (76 papers), Hormonal Regulation and Hypertension (73 papers) and Estrogen and related hormone effects (63 papers). Jacques Simard is often cited by papers focused on BRCA gene mutations in cancer (76 papers), Hormonal Regulation and Hypertension (73 papers) and Estrogen and related hormone effects (63 papers). Jacques Simard collaborates with scholars based in Canada, United States and United Kingdom. Jacques Simard's co-authors include Fernand Labrie, Van Luu‐The, Claude Labrie, Fernand Labrie, Sébastien Gingras, Sheng‐Xiang Lin, Alain Bélanger, Éric Rhéaume, Georges Pelletier and A. Bèlanger and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Jacques Simard

290 papers receiving 13.4k citations

Hit Papers

BOADICEA: a comprehensive... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jacques Simard 6.2k 5.8k 4.8k 1.7k 1.5k 295 13.8k
Alain Bélanger 3.5k 0.6× 5.3k 0.9× 3.9k 0.8× 1.7k 1.0× 1.4k 1.0× 214 13.3k
Michael E. Mendelsohn 6.2k 1.0× 6.6k 1.1× 4.6k 1.0× 1.1k 0.6× 558 0.4× 118 16.0k
William W. Chin 6.0k 1.0× 5.8k 1.0× 7.4k 1.5× 1.0k 0.6× 3.1k 2.2× 266 16.0k
Walter L. Miller 6.4k 1.0× 9.6k 1.7× 11.7k 2.4× 1.1k 0.7× 2.9k 2.0× 258 22.6k
Olli A. Jänne 4.6k 0.7× 3.0k 0.5× 8.0k 1.7× 1.9k 1.1× 1.4k 1.0× 274 14.2k
Christopher Longcope 4.0k 0.6× 7.7k 1.3× 3.1k 0.7× 2.1k 1.2× 3.0k 2.1× 227 15.1k
Pentti K. Siiteri 4.8k 0.8× 3.7k 0.6× 2.9k 0.6× 2.0k 1.2× 1.9k 1.3× 131 13.4k
Nancy L. Weigel 6.2k 1.0× 2.1k 0.4× 6.0k 1.3× 1.7k 1.1× 982 0.7× 166 11.5k
Michael Reed 5.9k 0.9× 2.8k 0.5× 6.0k 1.2× 2.6k 1.6× 2.1k 1.4× 316 14.0k
Frank Claessens 3.4k 0.6× 2.7k 0.5× 4.5k 0.9× 1.0k 0.6× 944 0.6× 205 9.5k

Countries citing papers authored by Jacques Simard

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Simard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Simard

This figure shows the co-authorship network connecting the top 25 collaborators of Jacques Simard. A scholar is included among the top collaborators of Jacques Simard 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 Jacques Simard. Jacques Simard 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.
Lapointe, Julie, Michel Dorval, Nora Pashayan, et al.. (2023). Canadian Healthcare Professionals’ Views and Attitudes toward Risk-Stratified Breast Cancer Screening. Journal of Personalized Medicine. 13(7). 1027–1027. 4 indexed citations
2.
Wolfson, Michael, Steven D. Gribble, Nora Pashayan, et al.. (2021). Potential of polygenic risk scores for improving population estimates of women’s breast cancer genetic risks. Genetics in Medicine. 23(11). 2114–2121. 13 indexed citations
3.
Li, Jingmei, Wei Wen, Brennan Decker, et al.. (2018). Differential Burden of Rare and Common Variants on Tumor Characteristics, Survival, and Mode of Detection in Breast Cancer. Cancer Research. 78(21). 6329–6338. 16 indexed citations
5.
Lee, Andrew, Alex Cunningham, Marc Tischkowitz, et al.. (2016). Incorporating truncating variants in PALB2, CHEK2, and ATM into the BOADICEA breast cancer risk model. Genetics in Medicine. 18(12). 1190–1198. 58 indexed citations
6.
Lesueur, Fabienne, Yan Coulombe, Stéphane Gobeil, et al.. (2016). ABRAXAS (FAM175A) and Breast Cancer Susceptibility: No Evidence of Association in the Breast Cancer Family Registry. PLoS ONE. 11(6). e0156820–e0156820. 4 indexed citations
7.
Wong, Nora, William D. Foulkes, Jocelyne Chiquette, et al.. (2015). Clinical follow-up and breast and ovarian cancer screening of true BRCA1/2 noncarriers: a qualitative investigation. Genetics in Medicine. 18(6). 627–634. 6 indexed citations
8.
9.
Lapointe, Julie, et al.. (2012). Incidence and predictors of positive and negative effects of BRCA1/2 genetic testing on familial relationships: a 3-year follow-up study. Genetics in Medicine. 14(1). 60–68. 9 indexed citations
10.
Guénard, Frédéric, et al.. (2010). Evaluation of the Contribution of the Three Breast Cancer Susceptibility Genes CHEK2 , STK11 , and PALB2 in Non- BRCA1/2 French Canadian Families with High Risk of Breast Cancer. Genetic Testing and Molecular Biomarkers. 14(4). 515–526. 25 indexed citations
12.
Horsman, Doug, Brenda J. Wilson, Denise Avard, et al.. (2007). Clinical Management Recommendations for Surveillance and Risk-Reduction Strategies for Hereditary Breast and Ovarian Cancer Among Individuals Carrying a Deleterious BRCA1 or BRCA2 Mutation. Journal of Obstetrics and Gynaecology Canada. 29(1). 45–60. 35 indexed citations
13.
Samson, C., Paul Bessette, Jocelyne Chiquette, et al.. (2006). No Evidence of BRCA1/2 Genomic Rearrangements in High-Risk French-Canadian Breast/Ovarian Cancer Families. Genetic Testing. 10(2). 104–115. 41 indexed citations
15.
Callens, Nathalie, Martine Dumont, Agnès Bégué, et al.. (2002). . Mammalian Genome. 13(7). 352–358. 2 indexed citations
16.
Poulin, Marie-Josée, et al.. (1997). Response of Symbiotic Endomycorrhizal Fungi to Estrogens and Antiestrogens. Molecular Plant-Microbe Interactions. 10(4). 481–487. 36 indexed citations
17.
Simard, Jacques, Francine Durocher, Farida Mébarki, et al.. (1996). Molecular biology and genetics of the 3β-hydroxysteroid dehydrogenase/Δ5-Δ4 isomerase gene family. Journal of Endocrinology. 150. 41 indexed citations
18.
Tonin, Patricia N., Roxana Moslehi, Roger Green, et al.. (1995). Linkage analysis of 26 Canadian breast and breast-ovarian cancer families. Human Genetics. 95(5). 545–50. 24 indexed citations
19.
Zhao, Huifen, et al.. (1990). STRUCTURE AND SEXUAL DIMORPHIC EXPRESSION OF A LIVER-SPECIFIC RAT 3β-HYDROXYSTEROID DEHYDROGENASE/ISOMERASE. Endocrinology. 127(6). 3237–3239. 76 indexed citations
20.
Simard, Jacques, Fernand Labrie, & Françis Gossard. (1986). Regulation of Growth Hormone mRNA and Pro-Opiomelanocortin mRNA Levels by Cyclic AMP in Rat Anterior Pituitary Cells in Culture. DNA. 5(4). 263–270. 27 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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