Anthony J. Kee

2.2k total citations
42 papers, 1.7k citations indexed

About

Anthony J. Kee is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Anthony J. Kee has authored 42 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Cardiology and Cardiovascular Medicine and 13 papers in Physiology. Recurrent topics in Anthony J. Kee's work include Muscle Physiology and Disorders (15 papers), Cardiomyopathy and Myosin Studies (14 papers) and Clinical Nutrition and Gastroenterology (11 papers). Anthony J. Kee is often cited by papers focused on Muscle Physiology and Disorders (15 papers), Cardiomyopathy and Myosin Studies (14 papers) and Clinical Nutrition and Gastroenterology (11 papers). Anthony J. Kee collaborates with scholars based in Australia, United States and United Kingdom. Anthony J. Kee's co-authors include Edna C. Hardeman, Peter W. Gunning, Galina Schevzov, Kathryn N. North, Jane T. Seto, Kate Quinlan, Joanna M. Raftery, Daniel G. MacArthur, Josephine E. Joya and Ross C. Smith and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and The Journal of Cell Biology.

In The Last Decade

Anthony J. Kee

42 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anthony J. Kee Australia 20 903 694 542 447 301 42 1.7k
Sharon Graw United States 26 1.7k 1.9× 1.3k 1.9× 182 0.3× 552 1.2× 103 0.3× 57 2.9k
Terry‐Lynn Young Canada 20 696 0.8× 506 0.7× 167 0.3× 430 1.0× 175 0.6× 43 1.6k
Gurtej K. Dhoot United Kingdom 26 1.8k 2.0× 1.0k 1.5× 570 1.1× 188 0.4× 44 0.1× 80 2.8k
Kate Quinlan Australia 30 1.3k 1.5× 470 0.7× 349 0.6× 1.1k 2.5× 627 2.1× 63 2.5k
Abigail McElhinny United States 23 2.0k 2.2× 1.1k 1.6× 611 1.1× 200 0.4× 32 0.1× 35 2.9k
Nyamkhishig Sambuughin United States 27 1.4k 1.5× 587 0.8× 280 0.5× 430 1.0× 20 0.1× 63 2.3k
Tyler J. Kirby United States 25 1.9k 2.1× 127 0.2× 746 1.4× 150 0.3× 706 2.3× 43 3.1k
Marie‐Louise Bang United States 26 2.2k 2.4× 1.9k 2.7× 731 1.3× 189 0.4× 30 0.1× 46 3.1k
S. A. Shafiq United States 30 1.5k 1.7× 584 0.8× 453 0.8× 152 0.3× 43 0.1× 73 2.3k
Thomas J. Eddinger United States 17 597 0.7× 473 0.7× 186 0.3× 54 0.1× 51 0.2× 42 1.1k

Countries citing papers authored by Anthony J. Kee

Since Specialization
Citations

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

Fields of papers citing papers by Anthony J. Kee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony J. Kee

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony J. Kee. A scholar is included among the top collaborators of Anthony J. Kee 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 Anthony J. Kee. Anthony J. Kee 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.
Garratt, Michael, Anthony J. Kee, Rupert Palme, & Robert C. Brooks. (2016). Male Presence can Increase Body Mass and Induce a Stress-Response in Female Mice Independent of Costs of Offspring Production. Scientific Reports. 6(1). 23538–23538. 15 indexed citations
2.
Schevzov, Galina, Anthony J. Kee, Bin Wang, et al.. (2015). Regulation of cell proliferation by ERK and signal-dependent nuclear translocation of ERK is dependent on Tm5NM1-containing actin filaments. Molecular Biology of the Cell. 26(13). 2475–2490. 56 indexed citations
3.
Kee, Anthony J., Lingyan Yang, Christine A. Lucas, et al.. (2015). An Actin Filament Population Defined by the Tropomyosin Tpm3.1 Regulates Glucose Uptake. Traffic. 16(7). 691–711. 57 indexed citations
4.
Anderson, Judy E., Josephine E. Joya, Stewart I. Head, et al.. (2013). Aged skeletal muscle retains the ability to fully regenerate functional architecture. PubMed. 3(2). 25–37. 47 indexed citations
5.
Lees, Justin G., Damian Adams, Michael S. Samuel, et al.. (2013). Tropomyosin Regulates Cell Migration during Skin Wound Healing. Journal of Investigative Dermatology. 133(5). 1330–1339. 36 indexed citations
6.
Nguyen, Mai-Anh, Josephine E. Joya, Anthony J. Kee, et al.. (2011). Hypertrophy and dietary tyrosine ameliorate the phenotypes of a mouse model of severe nemaline myopathy. Brain. 134(12). 3516–3529. 51 indexed citations
7.
Kee, Anthony J., Peter W. Gunning, & Edna C. Hardeman. (2009). Diverse roles of the actin cytoskeleton in striated muscle. Journal of Muscle Research and Cell Motility. 30(5-6). 187–197. 46 indexed citations
8.
MacArthur, Daniel G., Jane T. Seto, Stephen Chan, et al.. (2008). An Actn3 knockout mouse provides mechanistic insights into the association between  -actinin-3 deficiency and human athletic performance. Human Molecular Genetics. 17(8). 1076–1086. 228 indexed citations
9.
10.
Vlahovich, Nicole, Galina Schevzov, Visalini Nair‐Shalliker, et al.. (2007). Tropomyosin 4 defines novel filaments in skeletal muscle associated with muscle remodelling/regeneration in normal and diseased muscle. Cell Motility and the Cytoskeleton. 65(1). 73–85. 39 indexed citations
11.
MacArthur, Daniel G., Jane T. Seto, Joanna M. Raftery, et al.. (2007). Loss of ACTN3 gene function alters mouse muscle metabolism and shows evidence of positive selection in humans. Nature Genetics. 39(10). 1261–1265. 239 indexed citations
12.
MacArthur, Daniel G., Nan Yang, Jane T. Seto, et al.. (2006). A gene for speed: the ACTN3 R577X polymorphism influences muscle performance. Neuromuscular Disorders. 16. 1 indexed citations
13.
14.
Gunning, Peter W., Galina Schevzov, Anthony J. Kee, & Edna C. Hardeman. (2005). Tropomyosin isoforms: divining rods for actin cytoskeleton function. Trends in Cell Biology. 15(6). 333–341. 247 indexed citations
15.
Nair‐Shalliker, Visalini, et al.. (2004). Myofiber adaptational response to exercise in a mouse model of nemaline myopathy. Muscle & Nerve. 30(4). 470–480. 19 indexed citations
16.
Joya, Josephine E., Anthony J. Kee, Visalini Nair‐Shalliker, et al.. (2004). Muscle weakness in a mouse model of nemaline myopathy can be reversed with exercise and reveals a novel myofiber repair mechanism. Human Molecular Genetics. 13(21). 2633–2645. 36 indexed citations
17.
Attaix, Didier, et al.. (1998). Ubiquitin-proteasome-dependent proteolysis in skeletal muscle. annales de biologie animale biochimie biophysique. 38(2). 153–165. 83 indexed citations
18.
Kee, Anthony J., et al.. (1994). The effect of dipeptide structure on dipeptide and amino acid clearance in rats. Metabolism. 43(11). 1373–1378. 12 indexed citations
19.
Kee, Anthony J. & Ross C. Smith. (1993). Organ clearance of tyrosyl-arginine and its effect on amino acid metabolism in young sheep. Metabolism. 42(8). 958–966. 1 indexed citations
20.

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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