Mark J. Fedele

1.4k total citations
15 papers, 1.1k citations indexed

About

Mark J. Fedele is a scholar working on Cell Biology, Molecular Biology and Rehabilitation. According to data from OpenAlex, Mark J. Fedele has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cell Biology, 9 papers in Molecular Biology and 5 papers in Rehabilitation. Recurrent topics in Mark J. Fedele's work include Muscle metabolism and nutrition (10 papers), Muscle Physiology and Disorders (6 papers) and Exercise and Physiological Responses (5 papers). Mark J. Fedele is often cited by papers focused on Muscle metabolism and nutrition (10 papers), Muscle Physiology and Disorders (6 papers) and Exercise and Physiological Responses (5 papers). Mark J. Fedele collaborates with scholars based in United States and United Kingdom. Mark J. Fedele's co-authors include Karyn A. Esser, Peter A. Farrell, Jazmir M. Hernandez, John J. McCarthy, Mitsunori Miyazaki, Thomas C. Vary, Michael J. Rennie, Leonard S. Jefferson, Daniel J. Cuthbertson and Scot R. Kimball and has published in prestigious journals such as The Journal of Physiology, Biochemical Journal and Journal of Applied Physiology.

In The Last Decade

Mark J. Fedele

15 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark J. Fedele United States 13 748 568 361 291 149 15 1.1k
Ulrika Widegren Sweden 17 706 0.9× 276 0.5× 480 1.3× 293 1.0× 93 0.6× 20 1.1k
John W. Frey United States 10 994 1.3× 602 1.1× 410 1.1× 229 0.8× 84 0.6× 11 1.3k
Thomas J. McLoughlin United States 14 586 0.8× 208 0.4× 278 0.8× 231 0.8× 62 0.4× 22 896
Jascha Parkington United States 11 553 0.7× 234 0.4× 309 0.9× 133 0.5× 87 0.6× 12 747
Sarah M. Senf United States 11 941 1.3× 265 0.5× 466 1.3× 355 1.2× 32 0.2× 14 1.2k
S. Kalista Belgium 6 578 0.8× 211 0.4× 357 1.0× 181 0.6× 34 0.2× 6 929
Thomas Chaillou Sweden 16 540 0.7× 227 0.4× 298 0.8× 175 0.6× 104 0.7× 36 889
Leeann M. Bellamy Canada 9 423 0.6× 363 0.6× 292 0.8× 201 0.7× 160 1.1× 9 707
Ji‐Guo Yu Sweden 14 323 0.4× 225 0.4× 129 0.4× 356 1.2× 299 2.0× 33 838
Richard T. Hinkle United States 15 861 1.2× 177 0.3× 339 0.9× 249 0.9× 37 0.2× 25 1.1k

Countries citing papers authored by Mark J. Fedele

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Fedele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. Fedele. 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 Mark J. Fedele. The network helps show where Mark J. Fedele may publish in the future.

Co-authorship network of co-authors of Mark J. Fedele

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

All Works

15 of 15 papers shown
1.
Miyazaki, Mitsunori, John J. McCarthy, Mark J. Fedele, & Karyn A. Esser. (2011). Early activation of mTORC1 signalling in response to mechanical overload is independent of phosphoinositide 3‐kinase/Akt signalling. The Journal of Physiology. 589(7). 1831–1846. 154 indexed citations
2.
Kostek, Matthew C., Yiwen Chen, Daniel J. Cuthbertson, et al.. (2007). Gene expression responses over 24 h to lengthening and shortening contractions in human muscle: major changes in CSRP3, MUSTN1, SIX1, and FBXO32. Physiological Genomics. 31(1). 42–52. 94 indexed citations
3.
Cuthbertson, Daniel J., John Babraj, Kenneth Smith, et al.. (2005). Anabolic signaling and protein synthesis in human skeletal muscle after dynamic shortening or lengthening exercise. American Journal of Physiology-Endocrinology and Metabolism. 290(4). E731–E738. 137 indexed citations
4.
Fedele, Mark J., et al.. (2004). GPx-1 modulates Akt and P70S6K phosphorylation and Gadd45 levels in MCF-7 cells. Free Radical Biology and Medicine. 37(2). 187–195. 31 indexed citations
5.
Hornberger, Troy A., Rudy Stuppard, Kevin E. Conley, et al.. (2004). Mechanical stimuli regulate rapamycin-sensitive signalling by a phosphoinositide 3-kinase-, protein kinase B- and growth factor-independent mechanism. Biochemical Journal. 380(3). 795–804. 205 indexed citations
6.
Chen, Yiwen, Gustavo A. Nader, Keith Baar, et al.. (2002). Response of rat muscle to acute resistance exercise defined by transcriptional and translational profiling. The Journal of Physiology. 545(1). 27–41. 132 indexed citations
7.
Fedele, Mark J., Charles H. Lang, & Peter A. Farrell. (2001). Immunization against IGF-I prevents increases in protein synthesis in diabetic rats after resistance exercise. American Journal of Physiology-Endocrinology and Metabolism. 280(6). E877–E885. 16 indexed citations
8.
Greenleaf, J. E., et al.. (2001). Plasma sodium-osmotic dissociation and hormonal interaction with drinking-induced hypervolemia at 2800 m altitude.. PubMed. 72(6). 522–8. 3 indexed citations
9.
Fedele, Mark J., Thomas C. Vary, & Peter A. Farrell. (2001). Selected Contribution: IGF-I antibody prevents increases in protein synthesis in epitrochlearis muscles from refed, diabetic rats. Journal of Applied Physiology. 90(3). 1166–1173. 11 indexed citations
10.
Hernandez, Jazmir M., Mark J. Fedele, & Peter A. Farrell. (2000). Time course evaluation of protein synthesis and glucose uptake after acute resistance exercise in rats. Journal of Applied Physiology. 88(3). 1142–1149. 67 indexed citations
11.
Farrell, Peter A., Jazmir M. Hernandez, Mark J. Fedele, et al.. (2000). Eukaryotic initiation factors and protein synthesis after resistance exercise in rats. Journal of Applied Physiology. 88(3). 1036–1042. 33 indexed citations
12.
Fedele, Mark J., Jazmir M. Hernandez, Charles H. Lang, et al.. (2000). Severe diabetes prohibits elevations in muscle protein synthesis after acute resistance exercise in rats. Journal of Applied Physiology. 88(1). 102–108. 42 indexed citations
13.
Farrell, Peter A., Mark J. Fedele, Jazmir M. Hernandez, et al.. (1999). Hypertrophy of skeletal muscle in diabetic rats in response to chronic resistance exercise. Journal of Applied Physiology. 87(3). 1075–1082. 72 indexed citations
14.
Farrell, Peter A., Mark J. Fedele, Thomas C. Vary, et al.. (1999). Regulation of protein synthesis after acute resistance exercise in diabetic rats. American Journal of Physiology-Endocrinology and Metabolism. 276(4). E721–E727. 52 indexed citations
15.
Farrell, Peter A., Mark J. Fedele, Thomas C. Vary, Scot R. Kimball, & Leonard S. Jefferson. (1998). Effects of intensity of acute-resistance exercise on rates of protein synthesis in moderately diabetic rats. Journal of Applied Physiology. 85(6). 2291–2297. 25 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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