Robin N. Michel

1.8k total citations
37 papers, 1.5k citations indexed

About

Robin N. Michel is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Robin N. Michel has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 10 papers in Physiology. Recurrent topics in Robin N. Michel's work include Muscle Physiology and Disorders (23 papers), Signaling Pathways in Disease (12 papers) and Muscle activation and electromyography studies (6 papers). Robin N. Michel is often cited by papers focused on Muscle Physiology and Disorders (23 papers), Signaling Pathways in Disease (12 papers) and Muscle activation and electromyography studies (6 papers). Robin N. Michel collaborates with scholars based in Canada, United States and Netherlands. Robin N. Michel's co-authors include Shannon E. Dunn, Eva R. Chin, Bernard J. Jasmin, Jennifer L. Burns, Joe V. Chakkalakal, P. F. Gardiner, R. Sanders Williams, Lynn A. Megeney, Rhonda Bassel‐Duby and Alain R. Simard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Robin N. Michel

37 papers receiving 1.5k citations

Peers

Robin N. Michel
Gérald Hugon France
Cathy M. Gurley United States
Daniela Danieli‐Betto Italy
Marta Canato Italy
J. H. van der Meulen United States
Richard T. Hinkle United States
David R. Plant Australia
Eric J. Stevenson United States
T. Soukup Czechia
Henri Bernardi France
Gérald Hugon France
Robin N. Michel
Citations per year, relative to Robin N. Michel Robin N. Michel (= 1×) peers Gérald Hugon

Countries citing papers authored by Robin N. Michel

Since Specialization
Citations

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

Fields of papers citing papers by Robin N. Michel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robin N. Michel. 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 Robin N. Michel. The network helps show where Robin N. Michel may publish in the future.

Co-authorship network of co-authors of Robin N. Michel

This figure shows the co-authorship network connecting the top 25 collaborators of Robin N. Michel. A scholar is included among the top collaborators of Robin N. Michel 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 Robin N. Michel. Robin N. Michel 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.
Ravel‐Chapuis, Aymeric, Guy Bélanger, Jocelyn Côté, Robin N. Michel, & Bernard J. Jasmin. (2017). Misregulation of calcium-handling proteins promotes hyperactivation of calcineurin–NFAT signaling in skeletal muscle of DM1 mice. Human Molecular Genetics. 26(12). 2192–2206. 32 indexed citations
2.
Martins, Karen J. B., Gordon K. Murdoch, Ian M. MacLean, et al.. (2012). Nitric oxide synthase inhibition prevents activity‐induced calcineurin–NFATc1 signalling and fast‐to‐slow skeletal muscle fibre type conversions. The Journal of Physiology. 590(6). 1427–1442. 46 indexed citations
3.
Chakkalakal, Joe V., et al.. (2007). Modulation of utrophin A mRNA stability in fast versus slow muscles via an AU-rich element and calcineurin signaling. Nucleic Acids Research. 36(3). 826–838. 44 indexed citations
4.
Muthuri, Stella, Eva R. Chin, & Robin N. Michel. (2007). Myostatin as a Putative Downstream Gene Target of Calcineurin Signaling Associated with Muscle Growth Remodeling. The FASEB Journal. 21(6). 5 indexed citations
5.
Michel, Robin N., et al.. (2007). Ca2+/calmodulin-based signalling in the regulation of the muscle fibre phenotype and its therapeutic potential via modulation of utrophin A and myostatin expression. Applied Physiology Nutrition and Metabolism. 32(5). 921–929. 46 indexed citations
6.
Chakkalakal, Joe V., et al.. (2006). Targeted inhibition of Ca2+/calmodulin signaling exacerbates the dystrophic phenotype in mdx mouse muscle. Human Molecular Genetics. 15(9). 1423–1435. 53 indexed citations
7.
Angus, Lindsay, Joe V. Chakkalakal, Alexandre Méjat, et al.. (2005). Calcineurin-NFAT signaling, together with GABP and peroxisome PGC-1α, drives utrophin gene expression at the neuromuscular junction. American Journal of Physiology-Cell Physiology. 289(4). C908–C917. 71 indexed citations
8.
Lee, Hoyun, Luc Chouinard, M. Bonin, & Robin N. Michel. (2005). NFATc3 deficiency may contribute to the development of mammary gland adenocarcinoma in aging female mice. Molecular Carcinogenesis. 44(3). 219–222. 9 indexed citations
9.
Zeldin, Darryl C., et al.. (2005). Slower skeletal muscle phenotypes are critical for constitutive expression of Hsp70 in overloaded rat plantaris muscle. Journal of Applied Physiology. 100(3). 981–987. 25 indexed citations
10.
Michel, Robin N., Shannon E. Dunn, & Eva R. Chin. (2004). Calcineurin and skeletal muscle growth. Proceedings of The Nutrition Society. 63(2). 341–349. 89 indexed citations
11.
Chin, Eva R., Robert W. Grange, Alain R. Simard, et al.. (2003). Alterations in Slow‐Twitch Muscle Phenotype in Transgenic Mice Overexpressing the Ca2+ Buffering Protein Parvalbumin. The Journal of Physiology. 547(2). 649–663. 43 indexed citations
12.
Dunn, Shannon E., Alain R. Simard, Rhonda Bassel‐Duby, R. Sanders Williams, & Robin N. Michel. (2001). Nerve Activity-dependent Modulation of Calcineurin Signaling in Adult Fast and Slow Skeletal Muscle Fibers. Journal of Biological Chemistry. 276(48). 45243–45254. 81 indexed citations
13.
Dunn, Shannon E., Eva R. Chin, & Robin N. Michel. (2000). Matching of Calcineurin Activity to Upstream Effectors Is Critical for Skeletal Muscle Fiber Growth. The Journal of Cell Biology. 151(3). 663–672. 95 indexed citations
14.
Dunn, Shannon E. & Robin N. Michel. (1999). Differential sensitivity of myosin-heavy-chain-typed fibers to distinct aggregates of nerve-mediated activation. Pflügers Archiv - European Journal of Physiology. 437(3). 432–440. 7 indexed citations
15.
Dunn, Shannon E., Jennifer L. Burns, & Robin N. Michel. (1999). Calcineurin Is Required for Skeletal Muscle Hypertrophy. Journal of Biological Chemistry. 274(31). 21908–21912. 227 indexed citations
16.
Gauthier, Eric R., et al.. (1997). Rapid RNA isolation without the use of commercial kits: application to small tissue samples. Pflügers Archiv - European Journal of Physiology. 433(5). 664–668. 38 indexed citations
17.
18.
Bell, Chaim M., Bernard J. Jasmin, & Robin N. Michel. (1996). Succinate dehydrogenase activity within synaptic and extrasynaptic compartments of functionally-overloaded rat skeletal muscle fibers. Pflügers Archiv - European Journal of Physiology. 431(5). 797–799. 2 indexed citations
19.
Michel, Robin N. & Phillip F. Gardiner. (1990). To what extent is hindlimb suspension a model of disuse?. Muscle & Nerve. 13(7). 646–653. 22 indexed citations
20.
Gardiner, P. F., et al.. (1987). Force and fatiguability of sprouting motor units in partially denervated rat plantaris. Experimental Brain Research. 66(3). 597–606. 10 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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