Gordon S. Lynch

12.7k total citations
239 papers, 9.3k citations indexed

About

Gordon S. Lynch is a scholar working on Molecular Biology, Physiology and Rehabilitation. According to data from OpenAlex, Gordon S. Lynch has authored 239 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Molecular Biology, 80 papers in Physiology and 59 papers in Rehabilitation. Recurrent topics in Gordon S. Lynch's work include Muscle Physiology and Disorders (129 papers), Exercise and Physiological Responses (59 papers) and Muscle metabolism and nutrition (51 papers). Gordon S. Lynch is often cited by papers focused on Muscle Physiology and Disorders (129 papers), Exercise and Physiological Responses (59 papers) and Muscle metabolism and nutrition (51 papers). Gordon S. Lynch collaborates with scholars based in Australia, United States and United Kingdom. Gordon S. Lynch's co-authors include James G. Ryall, Jonathan D. Schertzer, David R. Plant, Paul Gregorevic, David A. Williams, René Koopman, Kate T. Murphy, John A. Faulkner, Timur Naim and Stefan M. Gehrig and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Gordon S. Lynch

235 papers receiving 9.2k citations

Peers

Gordon S. Lynch
Charlotte A. Peterson United States
Susan V. Brooks United States
Stephen E. Alway United States
Michael B. Reid United States
H. Galbo Denmark
Keith Baar United States
Marcas M. Bamman United States
Gordon S. Lynch
Citations per year, relative to Gordon S. Lynch Gordon S. Lynch (= 1×) peers Bert Blaauw

Countries citing papers authored by Gordon S. Lynch

Since Specialization
Citations

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

Fields of papers citing papers by Gordon S. Lynch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gordon S. Lynch. 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 Gordon S. Lynch. The network helps show where Gordon S. Lynch may publish in the future.

Co-authorship network of co-authors of Gordon S. Lynch

This figure shows the co-authorship network connecting the top 25 collaborators of Gordon S. Lynch. A scholar is included among the top collaborators of Gordon S. Lynch 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 Gordon S. Lynch. Gordon S. Lynch 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.
Meli, Massimiliano, Kristy Swiderski, Ben Rollo, et al.. (2025). Ngn2-Induced Differentiation of the NG108-15 Cell Line Enhances Motor Neuronal Differentiation and Neuromuscular Junction Formation. Biomolecules. 15(5). 637–637.
2.
Fetterplace, Kate, Marissa K. Caldow, Amalia Karahalios, et al.. (2024). Plasma beta‐hydroxy‐beta‐methylbutyrate availability after enteral administration during critical illness after trauma: An exploratory study. Journal of Parenteral and Enteral Nutrition. 48(4). 421–428. 4 indexed citations
3.
Dhyani, Vaibhav, Ronnie Blazev, Benjamin L. Parker, et al.. (2024). Mitochondrial fusion and altered beta-oxidation drive muscle wasting in a Drosophila cachexia model. EMBO Reports. 25(4). 1835–1858. 5 indexed citations
4.
Swiderski, Kristy, Jennifer Trieu, Annabel Chee, et al.. (2024). Altering phosphorylation of dystrophin S3059 to attenuate cancer cachexia. Life Sciences. 362. 123343–123343. 1 indexed citations
5.
Caldow, Marissa K., Francis B. Stephens, Linda Denehy, et al.. (2023). Inflammation and altered metabolism impede efficacy of functional electrical stimulation in critically ill patients. Critical Care. 27(1). 428–428. 6 indexed citations
6.
Hewitt, Jennifer, Roberta Torregrossa, Ashleigh M. Philp, et al.. (2021). Mitochondrial hydrogen sulfide supplementation improves health in the C. elegans Duchenne muscular dystrophy model. Proceedings of the National Academy of Sciences. 118(9). 33 indexed citations
7.
Swiderski, Kristy, et al.. (2020). HSP70 drives myoblast fusion during C2C12 myogenic differentiation. Biology Open. 9(7). 6 indexed citations
8.
Murphy, Kate T., Mohammed Iqbal Hossain, Kristy Swiderski, et al.. (2018). Mas Receptor Activation Slows Tumor Growth and Attenuates Muscle Wasting in Cancer. Cancer Research. 79(4). 706–719. 33 indexed citations
9.
Connor, Timothy, Kylie Venardos, Darren C. Henstridge, et al.. (2017). Scriptaid enhances skeletal muscle insulin action and cardiac function in obese mice. Diabetes Obesity and Metabolism. 19(7). 936–943. 17 indexed citations
10.
Woods, Michael, et al.. (2014). Denervation and β2-adrenoceptor-agonist administration on craniofacial bone density. Australasian Orthodontic Journal. 30(1). 32–38. 3 indexed citations
11.
Ham, Daniel J., Marissa K. Caldow, Gordon S. Lynch, & René Koopman. (2014). Arginine protects muscle cells from wasting in vitro in an mTORC1-dependent and NO-independent manner. Amino Acids. 46(12). 2643–2652. 36 indexed citations
12.
Wright, Craig, et al.. (2014). G-CSF does not influence C2C12 myogenesis despite receptor expression in healthy and dystrophic skeletal muscle. Frontiers in Physiology. 5. 170–170. 15 indexed citations
13.
Murphy, Kate T., Daniel J. Ham, Jarrod E. Church, et al.. (2012). Parvalbumin Gene Transfer Impairs Skeletal Muscle Contractility in Old Mice. Human Gene Therapy. 23(8). 824–836. 6 indexed citations
14.
Lynch, Gordon S.. (2011). Sarcopenia - age-related muscle wasting and weakness : mechanisms and treatments. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 13 indexed citations
15.
Steinberg, Gregory R., Hayley M. O’Neill, Nicolas Dzamko, et al.. (2010). Whole Body Deletion of AMP-activated Protein Kinase β2 Reduces Muscle AMPK Activity and Exercise Capacity. Journal of Biological Chemistry. 285(48). 37198–37209. 138 indexed citations
16.
Merry, Troy L., Gregory R. Steinberg, Gordon S. Lynch, & Glenn K. McConell. (2009). Skeletal muscle glucose uptake during contraction is regulated by nitric oxide and ROS independently of AMPK. American Journal of Physiology-Endocrinology and Metabolism. 298(3). E577–E585. 103 indexed citations
17.
Lynch, Gordon S., et al.. (2006). Myosin heavy chain isoform composition of human masseter muscle from subjects with different mandibular plane angles. Australasian Orthodontic Journal. 22(2). 105–114. 6 indexed citations
18.
Stupka, Nicole, Paul Gregorevic, & Gordon S. Lynch. (2002). Inhibition of the calcineurin signalling pathway with cyclosporine A impairs muscle regeneration in young mdx mice. Neuromuscular Disorders. 12. 2 indexed citations
19.
Lynch, Gordon S., Richard T. Hinkle, & John A. Faulkner. (2000). Power output of fast and slow skeletal muscles of mdx (dystrophic) and control mice after clenbuterol treatment. Experimental Physiology. 85(3). 295–299. 7 indexed citations
20.
Lynch, Gordon S., Richard T. Hinkle, & John A. Faulkner. (2000). Power Output of Fast and Slow Skeletal Muscles of MDX (Dystrophic) and Control Mice After Clenbuterol Treatment. Experimental Physiology. 85(3). 295–299. 37 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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