Annie Ménard

463 total citations
28 papers, 381 citations indexed

About

Annie Ménard is a scholar working on Genetics, Physiology and Molecular Biology. According to data from OpenAlex, Annie Ménard has authored 28 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 11 papers in Physiology and 10 papers in Molecular Biology. Recurrent topics in Annie Ménard's work include Adipose Tissue and Metabolism (11 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Genetic Associations and Epidemiology (7 papers). Annie Ménard is often cited by papers focused on Adipose Tissue and Metabolism (11 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Genetic Associations and Epidemiology (7 papers). Annie Ménard collaborates with scholars based in Canada, China and Israel. Annie Ménard's co-authors include Alan Y. Deng, Julie Roy, Jeffrey W. Keillor, Chunjie Xiao, Raphaëlle Lambert, Julian J. Dodson, Roselyne Castonguay, Christian Lherbet, Yanfen Shi and Jean‐Claude Tardif and has published in prestigious journals such as PLoS ONE, Biochemistry and International Journal of Molecular Sciences.

In The Last Decade

Annie Ménard

27 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annie Ménard Canada 14 164 148 131 95 77 28 381
Genevieve Tan Australia 7 49 0.3× 50 0.3× 138 1.1× 158 1.7× 156 2.0× 11 503
V Bı́lá Czechia 8 241 1.5× 181 1.2× 211 1.6× 99 1.0× 116 1.5× 30 510
C. Kolditz France 9 40 0.2× 132 0.9× 106 0.8× 26 0.3× 13 0.2× 9 513
Pedro A. Gallardo Chile 7 25 0.2× 53 0.4× 112 0.9× 26 0.3× 41 0.5× 11 335
Susan L. Whittemore United States 8 56 0.3× 77 0.5× 98 0.7× 46 0.5× 94 1.2× 9 352
Seymour Holtzman United States 14 189 1.2× 51 0.3× 155 1.2× 14 0.1× 66 0.9× 32 599
Gustavo Ares United States 10 32 0.2× 80 0.5× 345 2.6× 41 0.4× 78 1.0× 15 454
V. Landa Czechia 12 95 0.6× 98 0.7× 214 1.6× 36 0.4× 46 0.6× 40 502
James A. Horscroft United Kingdom 7 127 0.8× 138 0.9× 135 1.0× 21 0.2× 82 1.1× 7 362
Roger Anglada Spain 12 130 0.8× 113 0.8× 373 2.8× 34 0.4× 30 0.4× 19 684

Countries citing papers authored by Annie Ménard

Since Specialization
Citations

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

Fields of papers citing papers by Annie Ménard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annie Ménard

This figure shows the co-authorship network connecting the top 25 collaborators of Annie Ménard. A scholar is included among the top collaborators of Annie Ménard 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 Annie Ménard. Annie Ménard 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.
Deng, Alan Y., et al.. (2023). Shifting Paradigm from Gene Expressions to Pathways Reveals Physiological Mechanisms in Blood Pressure Control in Causation. International Journal of Molecular Sciences. 24(2). 1262–1262.
2.
Deng, Alan Y. & Annie Ménard. (2020). Conserved mammalian modularity of quantitative trait loci revealed human functional orthologs in blood pressure control. PLoS ONE. 15(7). e0235756–e0235756. 1 indexed citations
3.
Deng, Alan Y. & Annie Ménard. (2020). Functional Captures of Multiple Human Quantitative Trait Loci Regulating Blood Pressure with the Use of Orthologs in Genetically Defined Rat Models. Canadian Journal of Cardiology. 36(5). 756–763. 2 indexed citations
4.
Deng, Alan Y. & Annie Ménard. (2019). Biological convergence of three human and animal model quantitative trait loci for blood pressure. Journal of Hypertension. 38(2). 322–331. 6 indexed citations
5.
Deng, Alan Y., et al.. (2018). Functional Dosage of Muscarinic Cholinergic Receptor 3 Signalling, Not the Gene Dose, Determines Its Hypertension Pathogenesis. Canadian Journal of Cardiology. 35(5). 661–670. 9 indexed citations
6.
Ménard, Annie, et al.. (2016). Retinoblastoma-associated protein 140 as a candidate for a novel etiological gene to hypertension. Clinical and Experimental Hypertension. 38(6). 533–540. 3 indexed citations
7.
Deng, Alan Y., et al.. (2016). Alterations in Fibronectin Type III Domain Containing 1 Protein Gene Are Associated with Hypertension. PLoS ONE. 11(4). e0151399–e0151399. 12 indexed citations
8.
Ménard, Annie, et al.. (2015). Two candidate genes for two quantitative trait loci epistatically attenuate hypertension in a novel pathway. Journal of Hypertension. 33(9). 1791–1801. 13 indexed citations
9.
Ménard, Annie, et al.. (2013). Modularization and epistatic hierarchy determine homeostatic actions of multiple blood pressure quantitative trait loci. Human Molecular Genetics. 22(22). 4451–4459. 25 indexed citations
10.
Ménard, Annie, Julie Roy, Yanfen Shi, et al.. (2013). Combining distinctive and novel loci doubles BP reduction, reverses diastolic dysfunction and mitigates LV hypertrophy. Journal of Hypertension. 31(5). 927–935. 4 indexed citations
11.
Ménard, Annie, et al.. (2011). α-Kinase 2 is a novel candidate gene for inherited hypertension in Dahl rats. Journal of Hypertension. 29(7). 1320–1326. 15 indexed citations
12.
Ménard, Annie, et al.. (2011). Novel genes as primary triggers for polygenic hypertension. Journal of Hypertension. 30(1). 81–86. 13 indexed citations
13.
Ménard, Annie, et al.. (2010). Normotension in Lewis and Dahl salt-resistant rats is governed by different genes. Journal of Hypertension. 29(3). 460–465. 12 indexed citations
14.
Ménard, Annie, Johanne Tremblay, Chunjie Xiao, et al.. (2009). Cardiac pathways distinguish two epistatic modules enacting BP quantitative trait loci and candidate gene analysis. Hypertension Research. 32(7). 631–637. 10 indexed citations
15.
Deng, Alan Y., Stanley Nattel, Yanfen Shi, et al.. (2008). Distinct genomic replacements from Lewis correct diastolic dysfunction, attenuate hypertension, and reduce left ventricular hypertrophy in Dahl salt-sensitive rats. Journal of Hypertension. 26(10). 1935–1943. 10 indexed citations
16.
Ménard, Annie, et al.. (2006). Individual QTLs controlling quantitative variation in blood pressure inherited in a Mendelian mode. Heredity. 98(3). 165–171. 14 indexed citations
17.
18.
Lambert, Raphaëlle, et al.. (2005). A loss of genome buffering capacity of Dahl salt-sensitive model to modulate blood pressure as a cause of hypertension. Human Molecular Genetics. 14(24). 3877–3884. 31 indexed citations
20.
Ménard, Annie, et al.. (1999). Guinea Pig Liver Transglutaminase: A Modified Purification Procedure Affording Enzyme with Superior Activity in Greater Yield. Protein Expression and Purification. 17(1). 89–95. 24 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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