Amy C. Maher

853 total citations
18 papers, 681 citations indexed

About

Amy C. Maher is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Amy C. Maher has authored 18 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 9 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Amy C. Maher's work include Adipose Tissue and Metabolism (11 papers), Muscle metabolism and nutrition (7 papers) and Exercise and Physiological Responses (5 papers). Amy C. Maher is often cited by papers focused on Adipose Tissue and Metabolism (11 papers), Muscle metabolism and nutrition (7 papers) and Exercise and Physiological Responses (5 papers). Amy C. Maher collaborates with scholars based in Canada, United States and France. Amy C. Maher's co-authors include Mark A. Tarnopolsky, Mahmood Akhtar, Minghua Fu, Jerry Vockley, Gerald Moran, Joan C. Martin, Elisa I. Glover, Rebecca E. Thornhill, Mazen J. Hamadeh and Qing Shao and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Physiology.

In The Last Decade

Amy C. Maher

18 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amy C. Maher Canada	14	398	261	147	91	90	18	681
Arkan Abadi Canada	10	445 1.1×	269 1.0×	143 1.0×	92 1.0×	91 1.0×	14	715
Jean‐Luc Ziltener Switzerland	8	270 0.7×	225 0.9×	82 0.6×	52 0.6×	76 0.8×	30	614
F. Dworzak Italy	16	395 1.0×	255 1.0×	199 1.4×	42 0.5×	41 0.5×	25	777
Dmitry Akhmedov United States	12	385 1.0×	220 0.8×	108 0.7×	47 0.5×	43 0.5×	20	619
Yoshitaka Ohno Japan	16	349 0.9×	264 1.0×	159 1.1×	22 0.2×	178 2.0×	30	591
Rosa Loffredo Brazil	17	264 0.7×	226 0.9×	228 1.6×	47 0.5×	223 2.5×	31	846
Lara Nyman United States	11	168 0.4×	153 0.6×	102 0.7×	190 2.1×	50 0.6×	13	661
Scot R. Kimball United States	13	737 1.9×	400 1.5×	637 4.3×	56 0.6×	88 1.0×	16	1.2k
Michal K. Handzlik United States	13	285 0.7×	204 0.8×	115 0.8×	36 0.4×	122 1.4×	19	660
Joaquín Pérez‐Schindler United Kingdom	16	390 1.0×	372 1.4×	206 1.4×	75 0.8×	96 1.1×	25	732

Countries citing papers authored by Amy C. Maher

Since Specialization

Citations

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

Fields of papers citing papers by Amy C. Maher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy C. Maher. 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 Amy C. Maher. The network helps show where Amy C. Maher may publish in the future.

Co-authorship network of co-authors of Amy C. Maher

This figure shows the co-authorship network connecting the top 25 collaborators of Amy C. Maher. A scholar is included among the top collaborators of Amy C. Maher 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 Amy C. Maher. Amy C. Maher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Jantzi, Micaela, Amy C. Maher, George Ioannidis, et al.. (2014). Individuals with neurological diseases are at increased risk of fractures within 180 days of admission to long-term care in Ontario. Age and Ageing. 44(2). 252–257. 7 indexed citations

Maher, Amy C., et al.. (2014). TBC1D1 reduces palmitate oxidation by inhibiting β-HAD activity in skeletal muscle. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 307(9). R1115–R1123. 16 indexed citations

Smith, Brennan K., Kazutaka Mukai, James Lally, et al.. (2013). AMP‐activated protein kinase is required for exercise‐induced peroxisome proliferator‐activated receptor γ co‐activator 1α translocation to subsarcolemmal mitochondria in skeletal muscle. The Journal of Physiology. 591(6). 1551–1561. 35 indexed citations

Lally, James, Eric A.F. Herbst, Amy C. Maher, et al.. (2013). Over-Expressing Mitofusin-2 in Healthy Mature Mammalian Skeletal Muscle Does Not Alter Mitochondrial Bioenergetics. PLoS ONE. 8(1). e55660–e55660. 16 indexed citations

Jackson, Kathryn C., Richard M. Lovering, Rosemary A. Schuh, et al.. (2012). Ectopic lipid deposition and the metabolic profile of skeletal muscle in ovariectomized mice. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 304(3). R206–R217. 28 indexed citations

Holloway, Graham P., Chieh Jason Chou, Trent Stellingwerff, et al.. (2011). Increasing skeletal muscle fatty acid transport protein 1 (FATP1) targets fatty acids to oxidation and does not predispose mice to diet-induced insulin resistance. Diabetologia. 54(6). 1457–1467. 46 indexed citations

Maher, Amy C., Mahmood Akhtar, Jerry Vockley, & Mark A. Tarnopolsky. (2010). Women Have Higher Protein Content of β-Oxidation Enzymes in Skeletal Muscle than Men. PLoS ONE. 5(8). e12025–e12025. 46 indexed citations

Maher, Amy C., Al‐Walid Mohsen, Jerry Vockley, & Mark A. Tarnopolsky. (2010). Low expression of long-chain acyl-CoA dehydrogenase in human skeletal muscle. Molecular Genetics and Metabolism. 100(2). 163–167. 22 indexed citations

Glover, Elisa I., Joan C. Martin, Amy C. Maher, et al.. (2010). A randomized trial of coenzyme Q₁₀ in mitochondrial disorders. Muscle & Nerve. 42(5). 739–748. 103 indexed citations

10.

Maher, Amy C., Mahmood Akhtar, & Mark A. Tarnopolsky. (2010). Men supplemented with 17β-estradiol have increased β-oxidation capacity in skeletal muscle. Physiological Genomics. 42(3). 342–347. 68 indexed citations

11.

Maher, Amy C., Mahmood Akhtar, & Mark A. Tarnopolsky. (2010). Men Supplemented with 17b-Estardiol have Increased Skeletal Muscle Protein Content for b-Oxidation Enzymes. Medicine & Science in Sports & Exercise. 42(5). 42–42. 1 indexed citations

12.

Maher, Amy C., et al.. (2009). Sex Differences in Global mRNA Content of Human Skeletal Muscle. PLoS ONE. 4(7). e6335–e6335. 79 indexed citations

13.

Fu, Minghua, et al.. (2009). Exercise, sex, menstrual cycle phase, and 17β-estradiol influence metabolism-related genes in human skeletal muscle. Physiological Genomics. 40(1). 34–47. 71 indexed citations

14.

Langlois, Stéphanie, Amy C. Maher, Janet L. Manias, et al.. (2007). Connexin Levels Regulate Keratinocyte Differentiation in the Epidermis. Journal of Biological Chemistry. 282(41). 30171–30180. 58 indexed citations

15.

Maher, Amy C., et al.. (2005). Rat Epidermal Keratinocytes as an Organotypic Model for Examining the Role of Cx43 and Cx26 in Skin Differentiation. Cell Communication & Adhesion. 12(5-6). 219–230. 26 indexed citations

16.

D’Souza, Sudhir J.A., et al.. (2002). E2F-1 Is Essential for Normal Epidermal Wound Repair. Journal of Biological Chemistry. 277(12). 10626–10632. 53 indexed citations

17.

Leterrier, J.F., et al.. (1994). Naftidrofuryl, a Putative Activator of Neuron Survival, Stimulates the Expression of Neurofilament Heavy Subunit in Cultivated Spinal Cord Neurons from Chicken. Biochemical and Biophysical Research Communications. 200(1). 504–512. 5 indexed citations

18.

Evans, Franklin, et al.. (1994). Influence of light dark cycles on estradiol-17 β induced luteinizing hormone patterns of the prepuberal gilt. Journal of Animal Science. 72(8). 1995–2000. 1 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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