Elizabeth Greally

471 total citations
18 papers, 344 citations indexed

About

Elizabeth Greally is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Elizabeth Greally has authored 18 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Cardiology and Cardiovascular Medicine and 4 papers in Biomedical Engineering. Recurrent topics in Elizabeth Greally's work include Muscle Physiology and Disorders (12 papers), Cardiomyopathy and Myosin Studies (10 papers) and Muscle activation and electromyography studies (3 papers). Elizabeth Greally is often cited by papers focused on Muscle Physiology and Disorders (12 papers), Cardiomyopathy and Myosin Studies (10 papers) and Muscle activation and electromyography studies (3 papers). Elizabeth Greally collaborates with scholars based in United Kingdom, Germany and United States. Elizabeth Greally's co-authors include Volker Straub, Andrew M. Blamire, Margaret A. Piggott, J.A. Court, Evelyn Jaros, D. Wyper, Elaine K. Perry, Robert H. Perry, Janel E. Owens and Sally L. Pimlott and has published in prestigious journals such as PLoS ONE, American Journal Of Pathology and Magnetic Resonance in Medicine.

In The Last Decade

Elizabeth Greally

18 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elizabeth Greally United Kingdom 10 220 81 61 55 51 18 344
Romana Jerković Croatia 11 236 1.1× 63 0.8× 40 0.7× 91 1.7× 33 0.6× 22 408
Seth F. Oliveria United States 8 387 1.8× 287 3.5× 78 1.3× 52 0.9× 18 0.4× 12 553
Heike Jäger Germany 12 331 1.5× 108 1.3× 128 2.1× 38 0.7× 66 1.3× 16 597
S. Todorović Serbia 14 314 1.4× 201 2.5× 85 1.4× 60 1.1× 15 0.3× 27 458
Christopher L.‐H. Huang United Kingdom 8 390 1.8× 153 1.9× 141 2.3× 35 0.6× 15 0.3× 10 503
José Castro Portugal 9 186 0.8× 52 0.6× 28 0.5× 52 0.9× 21 0.4× 28 513
Daita Kaneda Japan 10 183 0.8× 79 1.0× 23 0.4× 101 1.8× 11 0.2× 39 402
Sarah Schneider Germany 7 153 0.7× 74 0.9× 16 0.3× 51 0.9× 7 0.1× 13 430
Takushi Shimomura Japan 13 222 1.0× 164 2.0× 41 0.7× 15 0.3× 7 0.1× 27 462
Anna Fricano Italy 4 157 0.7× 50 0.6× 12 0.2× 80 1.5× 13 0.3× 5 327

Countries citing papers authored by Elizabeth Greally

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Greally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Greally

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

All Works

18 of 18 papers shown
1.
Murphy, Alexander P., et al.. (2021). Use of EP3533-Enhanced Magnetic Resonance Imaging as a Measure of Disease Progression in Skeletal Muscle of mdx Mice. Frontiers in Neurology. 12. 636719–636719. 2 indexed citations
2.
Greally, Elizabeth, et al.. (2020). Cognitive impairment appears progressive in the mdx mouse. Neuromuscular Disorders. 30(5). 368–388. 23 indexed citations
3.
Hall, Matt G., et al.. (2020). Time‐dependent diffusion MRI as a probe of microstructural changes in a mouse model of Duchenne muscular dystrophy. NMR in Biomedicine. 33(5). e4276–e4276. 9 indexed citations
4.
Blain, A., Elizabeth Greally, Graham McClorey, et al.. (2018). Peptide-conjugated phosphodiamidate oligomer-mediated exon skipping has benefits for cardiac function in mdx and Cmah-/-mdx mouse models of Duchenne muscular dystrophy. PLoS ONE. 13(6). e0198897–e0198897. 18 indexed citations
5.
Murphy, Alexander P., et al.. (2018). Noninvasive quantification of fibrosis in skeletal and cardiac muscle in mdx mice using EP3533 enhanced magnetic resonance imaging. Magnetic Resonance in Medicine. 81(4). 2728–2735. 9 indexed citations
6.
7.
Redgrave, Rachael E., Simon Tual‐Chalot, Benjamin Davison, et al.. (2016). Using MRI to predict future adverse cardiac remodelling in a male mouse model of myocardial infarction. IJC Heart & Vasculature. 11. 29–34. 5 indexed citations
8.
Blain, A., Elizabeth Greally, Steven H. Laval, et al.. (2015). Absence of Cardiac Benefit with Early Combination ACE Inhibitor and Beta Blocker Treatment in mdx Mice. Journal of Cardiovascular Translational Research. 8(3). 198–207. 8 indexed citations
9.
Blain, A., Elizabeth Greally, Steven H. Laval, et al.. (2014). Assessment of ventricular function in mouse models of muscular dystrophy: A comparison of MRI with conductance catheter. Neuromuscular Disorders. 25(1). 24–31. 2 indexed citations
10.
Blain, A., Elizabeth Greally, Steve Laval, et al.. (2013). Beta-Blockers, Left and Right Ventricular Function, and In-Vivo Calcium Influx in Muscular Dystrophy Cardiomyopathy. PLoS ONE. 8(2). e57260–e57260. 18 indexed citations
11.
Greally, Elizabeth, Benjamin Davison, A. Blain, et al.. (2013). Heterogeneous abnormalities of in-vivo left ventricular calcium influx and function in mouse models of muscular dystrophy cardiomyopathy. Journal of Cardiovascular Magnetic Resonance. 15(1). 4–4. 15 indexed citations
12.
Greally, Elizabeth, et al.. (2012). Animal Models of Duchenne Muscular Dystrophy, with Special Reference to the mdx Mouse. Journal of Applied Biomedicine. 32(4). 3–15. 3 indexed citations
13.
Jørgensen, Louise Helskov, A. Blain, Elizabeth Greally, et al.. (2011). Long-Term Blocking of Calcium Channels in mdx Mice Results in Differential Effects on Heart and Skeletal Muscle. American Journal Of Pathology. 178(1). 273–283. 24 indexed citations
14.
Bauer, Ralf, A. Blain, Elizabeth Greally, et al.. (2010). Intolerance to β-Blockade in a Mouse Model of δ-Sarcoglycan-Deficient Muscular Dystrophy Cardiomyopathy. European Journal of Heart Failure. 12(11). 1163–1170. 14 indexed citations
15.
Bauer, Ralf, A. Blain, Elizabeth Greally, et al.. (2009). Attenuation of adverse cardiac effects in prednisolone-treated δ-sarcoglycan-deficient mice by mineralocorticoid-receptor-antagonism. Neuromuscular Disorders. 20(1). 21–28. 9 indexed citations
16.
Kist, Ralf, Elizabeth Greally, & Heiko Peters. (2007). Derivation of a mouse model for conditional inactivation of Pax9. genesis. 45(7). 460–464. 29 indexed citations
17.
Piggott, Margaret A., et al.. (2007). Basal ganglia cholinergic and dopaminergic function in progressive supranuclear palsy. Movement Disorders. 22(11). 1594–1600. 13 indexed citations
18.
Pimlott, Sally L., Margaret A. Piggott, Janel E. Owens, et al.. (2003). Nicotinic Acetylcholine Receptor Distribution in Alzheimer's Disease, Dementia with Lewy Bodies, Parkinson's Disease, and Vascular Dementia: In Vitro Binding Study Using 5-[125I]-A-85380. Neuropsychopharmacology. 29(1). 108–116. 133 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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