G. Nicholas

1.2k total citations
21 papers, 987 citations indexed

About

G. Nicholas is a scholar working on Molecular Biology, Agronomy and Crop Science and Genetics. According to data from OpenAlex, G. Nicholas has authored 21 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Agronomy and Crop Science and 5 papers in Genetics. Recurrent topics in G. Nicholas's work include Muscle Physiology and Disorders (10 papers), Milk Quality and Mastitis in Dairy Cows (5 papers) and Muscle metabolism and nutrition (4 papers). G. Nicholas is often cited by papers focused on Muscle Physiology and Disorders (10 papers), Milk Quality and Mastitis in Dairy Cows (5 papers) and Muscle metabolism and nutrition (4 papers). G. Nicholas collaborates with scholars based in New Zealand, United Kingdom and Australia. G. Nicholas's co-authors include Ravi Kambadur, Mridula Sharma, C. Fred Kemp, Ketan Patel, Helge Amthor, Iain W. McKinnell, Colin G. Prosser, K. Stelwagen, Carole Berry and Marie Csete and has published in prestigious journals such as PLoS ONE, Developmental Biology and Journal of Dairy Science.

In The Last Decade

G. Nicholas

21 papers receiving 950 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Nicholas New Zealand 13 645 309 222 162 137 21 987
Jenny M. Oldham New Zealand 17 595 0.9× 233 0.8× 201 0.9× 198 1.2× 135 1.0× 37 945
P. E. Walton Australia 23 404 0.6× 299 1.0× 175 0.8× 311 1.9× 219 1.6× 50 1.6k
R. J. McCormick United States 17 280 0.4× 132 0.4× 218 1.0× 126 0.8× 84 0.6× 36 980
Claude Delouis France 21 595 0.9× 114 0.4× 159 0.7× 474 2.9× 240 1.8× 51 1.4k
Shengjuan Wei China 19 437 0.7× 259 0.8× 32 0.1× 186 1.1× 59 0.4× 51 858
Carol S. Okamura United States 15 389 0.6× 88 0.3× 72 0.3× 209 1.3× 227 1.7× 18 745
Anan Jiang China 23 809 1.3× 190 0.6× 56 0.3× 486 3.0× 62 0.5× 79 1.5k
Ronald L. Stotish United States 14 733 1.1× 201 0.7× 142 0.6× 133 0.8× 12 0.1× 18 1.0k
Mika Oe Japan 19 415 0.6× 138 0.4× 137 0.6× 78 0.5× 29 0.2× 45 786
Anna Maria Cantoni Italy 19 301 0.5× 92 0.3× 45 0.2× 69 0.4× 51 0.4× 71 945

Countries citing papers authored by G. Nicholas

Since Specialization
Citations

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

Fields of papers citing papers by G. Nicholas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Nicholas

This figure shows the co-authorship network connecting the top 25 collaborators of G. Nicholas. A scholar is included among the top collaborators of G. Nicholas 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 G. Nicholas. G. Nicholas 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.
Oldham, Jenny M., Tea Shavlakadze, Miranda D. Grounds, et al.. (2017). IGF1 stimulates greater muscle hypertrophy in the absence of myostatin in male mice. Journal of Endocrinology. 234(2). 187–200. 43 indexed citations
2.
Jeanplong, Ferenc, Shelley Falconer, Jenny M. Oldham, et al.. (2013). Discovery of a Mammalian Splice Variant of Myostatin That Stimulates Myogenesis. PLoS ONE. 8(12). e81713–e81713. 8 indexed citations
3.
Greenwood, P. L., et al.. (2012). Lack of association between allelic status and myostatin content in lambs with the myostatin g+6723G > A allele1. Journal of Animal Science. 91(1). 78–89. 12 indexed citations
4.
García, Paul S., et al.. (2010). Elevated Myostatin Levels in Patients with Liver Disease. Anesthesia & Analgesia. 111(3). 707–709. 90 indexed citations
5.
Stelwagen, K., V. C. Farr, G. Nicholas, Stephen R. Davis, & Colin G. Prosser. (2007). Effect of milking interval on milk yield and quality and rate of recovery during subsequent frequent milking. Livestock Science. 114(2-3). 176–180. 19 indexed citations
6.
Salerno, Mônica Senna, et al.. (2007). Antagonism of Myostatin Enhances Muscle Regeneration During Sarcopenia. Molecular Therapy. 15(8). 1463–1470. 96 indexed citations
7.
Larsen, Ashley, Rebecca J. Tunstall, Kate A. Carey, et al.. (2006). Actions of Short-Term Fasting on Human Skeletal Muscle Myogenic and Atrogenic Gene Expression. Annals of Nutrition and Metabolism. 50(5). 476–481. 30 indexed citations
8.
Nicholas, G., Carole Berry, Trevor Watson, et al.. (2005). Myostatin negatively regulates the expression of the steroid receptor co‐factor ARA70. Journal of Cellular Physiology. 206(1). 255–263. 16 indexed citations
9.
McFarlane, Craig, Brett Langley, Mark Thomas, et al.. (2005). Proteolytic processing of myostatin is auto-regulated during myogenesis. Developmental Biology. 283(1). 58–69. 46 indexed citations
10.
Amthor, Helge, G. Nicholas, Iain W. McKinnell, et al.. (2004). Follistatin complexes Myostatin and antagonises Myostatin-mediated inhibition of myogenesis. Developmental Biology. 270(1). 19–30. 336 indexed citations
11.
Davis, Stephen R., V. C. Farr, Colin G. Prosser, et al.. (2004). Milk L-lactate concentration is increased during mastitis. Journal of Dairy Research. 71(2). 175–181. 45 indexed citations
12.
Brodmann, Peter, et al.. (2002). Polymerase chain reaction (PCR) for the detection of king bolete ( Boletus edulis ) and slippery jack ( Suillus luteus ) in food samples. European Food Research and Technology. 214(4). 340–345. 8 indexed citations
13.
Nicholas, G., M.J. Auldist, Peter C. Molan, K. Stelwagen, & Colin G. Prosser. (2002). Effects of stage of lactation and time of year on plasmin-derived proteolytic activity in bovine milk in New Zealand. Journal of Dairy Research. 69(4). 533–540. 25 indexed citations
14.
Nicholas, G., Mark Thomas, Brett Langley, et al.. (2002). Titin‐cap associates with, and regulates secretion of, Myostatin. Journal of Cellular Physiology. 193(1). 120–131. 86 indexed citations
15.
Brodmann, Peter, et al.. (2001). Identifying unknown game species: experience with nucleotide sequencing of the mitochondrial cytochrome b gene and a subsequent basic local alignment search tool search. European Food Research and Technology. 212(4). 491–496. 33 indexed citations
16.
Lacy-Hulbert, S.J., M.W. Woolford, G. Nicholas, Colin G. Prosser, & K. Stelwagen. (1999). Effect of Milking Frequency and Pasture Intake on Milk Yield and Composition of Late Lactation Cows. Journal of Dairy Science. 82(6). 1232–1239. 71 indexed citations
17.
Nicholas, G., et al.. (1996). Effect of Streptococcus uberis infection on milk characteristics of individual quarters. Proceedings of the New Zealand Society of Animal Production. 56. 65–67. 4 indexed citations
18.
Nicholas, G., et al.. (1995). Influence of milking frequency and feeding level on plasmin activity and casein degradation in milk. Proceedings of the New Zealand Society of Animal Production. 55. 9–11. 3 indexed citations
19.
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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