Rainer Ng

615 total citations
8 papers, 518 citations indexed

About

Rainer Ng is a scholar working on Molecular Biology, Physiology and Rehabilitation. According to data from OpenAlex, Rainer Ng has authored 8 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Physiology and 2 papers in Rehabilitation. Recurrent topics in Rainer Ng's work include Muscle Physiology and Disorders (7 papers), Adipose Tissue and Metabolism (4 papers) and Muscle activation and electromyography studies (2 papers). Rainer Ng is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Adipose Tissue and Metabolism (4 papers) and Muscle activation and electromyography studies (2 papers). Rainer Ng collaborates with scholars based in United States, France and United Kingdom. Rainer Ng's co-authors include John A. Faulkner, Jeffrey S. Chamberlain, Charles J. Epstein, Abdellah Mansouri, Michelle M. Hamilton, Ting‐Ting Huang, Arlan Richardson, Florian L. Müller, Yuhong Liu and Holly Van Remmen and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Human Molecular Genetics.

In The Last Decade

Rainer Ng

8 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rainer Ng United States 7 407 208 113 69 48 8 518
Arkan Abadi Canada 10 445 1.1× 269 1.3× 91 0.8× 143 2.1× 29 0.6× 14 715
Sandhya Sriram Singapore 9 244 0.6× 165 0.8× 79 0.7× 57 0.8× 29 0.6× 16 390
Gesa Santos Switzerland 11 390 1.0× 403 1.9× 89 0.8× 103 1.5× 34 0.7× 14 611
Jessica R. Terrill Australia 16 717 1.8× 414 2.0× 240 2.1× 289 4.2× 52 1.1× 29 934
Giulia Favaro Italy 3 569 1.4× 353 1.7× 26 0.2× 102 1.5× 55 1.1× 4 719
Steffen H. Raun Denmark 13 287 0.7× 312 1.5× 152 1.3× 100 1.4× 11 0.2× 21 565
Daniel R. Jakaitis United States 7 196 0.5× 268 1.3× 31 0.3× 79 1.1× 13 0.3× 11 463
Darren T. Hwee United States 12 322 0.8× 121 0.6× 30 0.3× 88 1.3× 35 0.7× 27 582
C Eric Butz United States 4 399 1.0× 240 1.2× 25 0.2× 148 2.1× 58 1.2× 4 651
Florian Bolze Germany 11 175 0.4× 233 1.1× 41 0.4× 31 0.4× 56 1.2× 15 482

Countries citing papers authored by Rainer Ng

Since Specialization
Citations

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

Fields of papers citing papers by Rainer Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rainer Ng

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

All Works

8 of 8 papers shown
1.
Russell, K., Rainer Ng, John A. Faulkner, Dennis R. Claflin, & Christopher L. Mendias. (2015). Mouse forepaw lumbrical muscles are resistant to age-related declines in force production. Experimental Gerontology. 65. 42–45. 5 indexed citations
2.
Pearson, Tim, Tabitha Kabayo, Rainer Ng, et al.. (2014). Skeletal Muscle Contractions Induce Acute Changes in Cytosolic Superoxide, but Slower Responses in Mitochondrial Superoxide and Cellular Hydrogen Peroxide. PLoS ONE. 9(5). e96378–e96378. 85 indexed citations
3.
Ng, Rainer, Glen B. Banks, John K. Hall, et al.. (2011). Animal Models of Muscular Dystrophy. Progress in molecular biology and translational science. 105. 83–111. 36 indexed citations
4.
Han, Renzhi, Jennifer Lévy, Erik P. Rader, et al.. (2010). Genetic ablation of complement C3 attenuates muscle pathology in dysferlin-deficient mice. Journal of Clinical Investigation. 120(12). 4366–4374. 79 indexed citations
5.
Faulkner, John A., et al.. (2008). DIAPHRAGM MUSCLE STRIP PREPARATION FOR EVALUATION OF GENE THERAPIES IN mdx MICE. Clinical and Experimental Pharmacology and Physiology. 35(7). 725–729. 23 indexed citations
6.
Ng, Rainer, Joseph M. Metzger, Dennis R. Claflin, & John A. Faulkner. (2008). Poloxamer 188 reduces the contraction-induced force decline in lumbrical muscles from mdx mice. American Journal of Physiology-Cell Physiology. 295(1). C146–C150. 52 indexed citations
7.
Mansouri, Abdellah, Florian L. Müller, Yuhong Liu, et al.. (2006). Alterations in mitochondrial function, hydrogen peroxide release and oxidative damage in mouse hind-limb skeletal muscle during aging. Mechanisms of Ageing and Development. 127(3). 298–306. 196 indexed citations
8.
Li, Sheng, En Kimura, Rainer Ng, et al.. (2006). A highly functional mini-dystrophin / GFP fusion gene for cell and gene therapy studies of Duchenne muscular dystrophy. Human Molecular Genetics. 15(10). 1610–1622. 42 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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