Elizabeth C. Malkus

513 total citations
7 papers, 187 citations indexed

About

Elizabeth C. Malkus is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Elizabeth C. Malkus has authored 7 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Genetics. Recurrent topics in Elizabeth C. Malkus's work include Muscle Physiology and Disorders (4 papers), Muscle activation and electromyography studies (3 papers) and Neurogenetic and Muscular Disorders Research (2 papers). Elizabeth C. Malkus is often cited by papers focused on Muscle Physiology and Disorders (4 papers), Muscle activation and electromyography studies (3 papers) and Neurogenetic and Muscular Disorders Research (2 papers). Elizabeth C. Malkus collaborates with scholars based in United States, Israel and United Kingdom. Elizabeth C. Malkus's co-authors include Craig M. Zaidman, Anne M. Connolly, Julaine Florence, Alan Pestronk, Muhammad Al‐Lozi, Craig M. McDonald, Kate Bushby, J. Philip Miller, Kevin M. Flanigan and Peter Karachunski and has published in prestigious journals such as Muscle & Nerve, Neuromuscular Disorders and Pediatric Neurology.

In The Last Decade

Elizabeth C. Malkus

7 papers receiving 182 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 C. Malkus United States 6 110 54 52 37 31 7 187
M. James United Kingdom 7 115 1.0× 26 0.5× 38 0.7× 34 0.9× 49 1.6× 24 239
M. Annoussamy France 10 200 1.8× 70 1.3× 134 2.6× 17 0.5× 38 1.2× 27 297
Christine Thémar-Noël France 9 143 1.3× 129 2.4× 35 0.7× 16 0.4× 32 1.0× 16 319
A. Seferian France 9 153 1.4× 50 0.9× 76 1.5× 12 0.3× 39 1.3× 28 230
Mary S. Carvalho Brazil 11 215 2.0× 17 0.3× 42 0.8× 25 0.7× 65 2.1× 27 267
David E. Lebel Canada 10 62 0.6× 34 0.6× 19 0.4× 15 0.4× 36 1.2× 36 384
Leslie Nelson United States 9 115 1.0× 25 0.5× 137 2.6× 19 0.5× 20 0.6× 26 256
Jennie Sheehan United Kingdom 4 141 1.3× 36 0.7× 37 0.7× 28 0.8× 71 2.3× 6 191
C. Lilien France 5 91 0.8× 40 0.7× 32 0.6× 9 0.2× 26 0.8× 20 120
Jasjit Deol United States 5 289 2.6× 129 2.4× 38 0.7× 85 2.3× 80 2.6× 8 388

Countries citing papers authored by Elizabeth C. Malkus

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth C. Malkus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth C. Malkus

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

All Works

7 of 7 papers shown
1.
Argov, Zohar, Antonio Esposito, Julaine Florence, et al.. (2017). Characterization of Strength and Function in Ambulatory Adults With GNE Myopathy. Journal of Clinical Neuromuscular Disease. 19(1). 19–26. 9 indexed citations
2.
Zaidman, Craig M., Elizabeth C. Malkus, & Anne M. Connolly. (2015). Muscle ultrasound quantifies disease progression over time in infants and young boys with duchenne muscular dystrophy. Muscle & Nerve. 52(3). 334–338. 39 indexed citations
3.
Connolly, Anne M., Julaine Florence, Mary Michaeleen Cradock, et al.. (2014). One Year Outcome of Boys With Duchenne Muscular Dystrophy Using the Bayley-III Scales of Infant and Toddler Development. Pediatric Neurology. 50(6). 557–563. 39 indexed citations
4.
Skrinar, Alison, Zohar Argov, Yoseph Caraco, et al.. (2013). P.3.1 GNE myopathy functional activity scale (GNEM-FAS): Development of a disease-specific instrument for measuring function and independence. Neuromuscular Disorders. 23(9-10). 755–755. 4 indexed citations
5.
Andres, Patricia L., Robert A. English, Michelle C. Mendoza, et al.. (2012). Developing normalized strength scores for neuromuscular research. Muscle & Nerve. 47(2). 177–182. 7 indexed citations
6.
Zaidman, Craig M., et al.. (2011). Qualitative and quantitative skeletal muscle ultrasound in late‐onset acid maltase deficiency. Muscle & Nerve. 44(3). 418–423. 33 indexed citations
7.
Zaidman, Craig M., Anne M. Connolly, Elizabeth C. Malkus, Julaine Florence, & Alan Pestronk. (2010). Quantitative ultrasound using backscatter analysis in Duchenne and Becker muscular dystrophy. Neuromuscular Disorders. 20(12). 805–809. 56 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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