Godfrina McKoy

1.9k total citations · 1 hit paper
11 papers, 1.4k citations indexed

About

Godfrina McKoy is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cell Biology. According to data from OpenAlex, Godfrina McKoy has authored 11 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 7 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Godfrina McKoy's work include Cardiomyopathy and Myosin Studies (7 papers), Muscle Physiology and Disorders (6 papers) and Cardiovascular Effects of Exercise (3 papers). Godfrina McKoy is often cited by papers focused on Cardiomyopathy and Myosin Studies (7 papers), Muscle Physiology and Disorders (6 papers) and Cardiovascular Effects of Exercise (3 papers). Godfrina McKoy collaborates with scholars based in United Kingdom, United States and Greece. Godfrina McKoy's co-authors include Adalena Tsatsopoulou, Nikos Protonotarios, Aris Anastasakis, William J. McKenna, Steve Jeffery, Mark Norman, Aman S. Coonar, Andrew H. Crosby, C. Baboonian and Geoffrey Goldspink and has published in prestigious journals such as The Lancet, Journal of the American College of Cardiology and Circulation Research.

In The Last Decade

Godfrina McKoy

11 papers receiving 1.4k citations

Hit Papers

Identification of a deletion in plakoglobin in arrhythmog... 2000 2026 2008 2017 2000 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Godfrina McKoy United Kingdom 9 815 627 345 272 135 11 1.4k
Takao Hijikata Japan 17 208 0.3× 654 1.0× 86 0.2× 254 0.9× 49 0.4× 35 1.0k
Leopoldo Saggin Italy 9 471 0.6× 1.0k 1.6× 51 0.1× 221 0.8× 232 1.7× 13 1.4k
Chantal Janmot France 20 357 0.4× 827 1.3× 35 0.1× 139 0.5× 126 0.9× 41 1.1k
Christophe Hourdé France 22 144 0.2× 1.0k 1.6× 82 0.2× 248 0.9× 385 2.9× 50 1.3k
Karen Maass United States 17 284 0.3× 904 1.4× 59 0.2× 54 0.2× 70 0.5× 18 1.2k
D. Chasiotis Sweden 13 71 0.1× 187 0.3× 166 0.5× 323 1.2× 141 1.0× 17 683
Andrei B. Borisov United States 25 385 0.5× 1.2k 1.9× 30 0.1× 196 0.7× 257 1.9× 39 1.7k
Valeria Parente Italy 16 87 0.1× 1.0k 1.7× 44 0.1× 117 0.4× 205 1.5× 25 1.4k
Erik P. Rader United States 13 96 0.1× 608 1.0× 58 0.2× 116 0.4× 255 1.9× 28 791
Alex Hennebry New Zealand 9 107 0.1× 863 1.4× 30 0.1× 278 1.0× 367 2.7× 10 1.0k

Countries citing papers authored by Godfrina McKoy

Since Specialization
Citations

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

Fields of papers citing papers by Godfrina McKoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Godfrina McKoy

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

All Works

11 of 11 papers shown
1.
Fredericks, Salim, Hans Degens, Godfrina McKoy, et al.. (2007). Effect of denervation on the content of cardiac troponin-T and cardiac troponin-I in rat skeletal muscle. Clinical Biochemistry. 40(5-6). 423–426. 7 indexed citations
2.
McKoy, Godfrina, Katrina A. Bicknell, Kantilal M. Patel, & G. T. Brooks. (2007). Developmental expression of myostatin in cardiomyocytes and its effect on foetal and neonatal rat cardiomyocyte proliferation. Cardiovascular Research. 74(2). 304–312. 41 indexed citations
3.
Morissette, Michael R., Stuart A. Cook, ShiYin Foo, et al.. (2006). Myostatin Regulates Cardiomyocyte Growth Through Modulation of Akt Signaling. Circulation Research. 99(1). 15–24. 135 indexed citations
4.
McKoy, Godfrina, et al.. (2005). Expression of Ankrd2 in fast and slow muscles and its response to stretch are consistent with a role in slow muscle function. Journal of Applied Physiology. 98(6). 2337–2343. 33 indexed citations
5.
Protonotarios, Nikos, Adalena Tsatsopoulou, Aris Anastasakis, et al.. (2001). Genotype-phenotype assessment in autosomal recessive arrhythmogenic right ventricular cardiomyopathy (Naxos disease) caused by a deletion in plakoglobin. Journal of the American College of Cardiology. 38(5). 1477–1484. 122 indexed citations
6.
7.
McKoy, Godfrina, Nikos Protonotarios, Andrew H. Crosby, et al.. (2000). Identification of a deletion in plakoglobin in arrhythmogenic right ventricular cardiomyopathy with palmoplantar keratoderma and woolly hair (Naxos disease). The Lancet. 355(9221). 2119–2124. 747 indexed citations breakdown →
8.
McKoy, Godfrina, William W. Ashley, Shi Yu Yang, et al.. (1999). Expression of insulin growth factor‐1 splice variants and structural genes in rabbit skeletal muscle induced by stretch and stimulation. The Journal of Physiology. 516(2). 583–592. 224 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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