M. B. McDonagh

1.2k total citations
35 papers, 988 citations indexed

About

M. B. McDonagh is a scholar working on Animal Science and Zoology, Genetics and Molecular Biology. According to data from OpenAlex, M. B. McDonagh has authored 35 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Animal Science and Zoology, 14 papers in Genetics and 10 papers in Molecular Biology. Recurrent topics in M. B. McDonagh's work include Meat and Animal Product Quality (18 papers), Genetic and phenotypic traits in livestock (10 papers) and Animal Nutrition and Physiology (7 papers). M. B. McDonagh is often cited by papers focused on Meat and Animal Product Quality (18 papers), Genetic and phenotypic traits in livestock (10 papers) and Animal Nutrition and Physiology (7 papers). M. B. McDonagh collaborates with scholars based in Australia, United States and Ireland. M. B. McDonagh's co-authors include V. H. Oddy, David Hopkins, Robyn D. Warner, D.W. Pethick, Eric N. Ponnampalam, R.H. Jacob, P. L. Greenwood, G. S. Harper, Alex J. Ball and K.L. Pearce and has published in prestigious journals such as PLoS ONE, Journal of Dairy Science and Molecular Biology of the Cell.

In The Last Decade

M. B. McDonagh

34 papers receiving 952 citations

Peers

M. B. McDonagh
M. F. Miller United States
D.W. Pethick Australia
G. S. Nattrass Australia
O. I. Southwood United Kingdom
O. Kedar Israel
M. F. Miller United States
M. B. McDonagh
Citations per year, relative to M. B. McDonagh M. B. McDonagh (= 1×) peers M. F. Miller

Countries citing papers authored by M. B. McDonagh

Since Specialization
Citations

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

Fields of papers citing papers by M. B. McDonagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. B. McDonagh. 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 M. B. McDonagh. The network helps show where M. B. McDonagh may publish in the future.

Co-authorship network of co-authors of M. B. McDonagh

This figure shows the co-authorship network connecting the top 25 collaborators of M. B. McDonagh. A scholar is included among the top collaborators of M. B. McDonagh 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 M. B. McDonagh. M. B. McDonagh 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.
Knight, Matthew I., Kym L. Butler, V. F. Burnett, et al.. (2020). Understanding the impact of sire lean meat yield breeding value on carcass composition, meat quality, nutrient and mineral content of Australian lamb. Meat Science. 170. 108236–108236. 11 indexed citations
2.
Knight, Matthew I., Kym L. Butler, V. F. Burnett, et al.. (2019). Reducing the level of nutrition of twin-bearing ewes during mid to late pregnancy produces leaner prime lambs at slaughter. animal. 14(4). 864–872. 8 indexed citations
3.
5.
Warner, Robyn D., R.H. Jacob, Katja Rosenvold, et al.. (2015). Altered post-mortem metabolism identified in very fast chilled lamb M. longissimus thoracis et lumborum using metabolomic analysis. Meat Science. 108. 155–164. 34 indexed citations
6.
Greenwood, P. L., et al.. (2015). Proliferation Rates of Bovine Primary Muscle Cells Relate to Liveweight and Carcase Weight in Cattle. PLoS ONE. 10(4). e0124468–e0124468. 24 indexed citations
7.
Knight, Matthew I., Angus M. Tester, M. B. McDonagh, et al.. (2014). Milk-derived ribonuclease 5 preparations induce myogenic differentiation in vitro and muscle growth in vivo. Journal of Dairy Science. 97(12). 7325–7333. 4 indexed citations
8.
Knight, Matthew I., Hans D. Daetwyler, Ben J. Hayes, et al.. (2013). An independent validation association study of carcass quality, shear force, intramuscular fat percentage and omega-3 polyunsaturated fatty acid content with gene markers in Australian lamb. Meat Science. 96(2). 1025–1033. 17 indexed citations
9.
Pannier, L., G.E. Gardner, K.L. Pearce, et al.. (2013). Associations of sire estimated breeding values and objective meat quality measurements with sensory scores in Australian lamb. Meat Science. 96(2). 1076–1087. 112 indexed citations
10.
Knight, Matthew I., Hans D. Daetwyler, Ben J. Hayes, et al.. (2012). Discovery and trait association of single nucleotide polymorphisms from gene regions of influence on meat tenderness and long-chain omega-3 fatty acid content in Australian lamb. Animal Production Science. 52(7). 591–600. 11 indexed citations
11.
Ponnampalam, Eric N., Kym L. Butler, M. B. McDonagh, J. L. Jacobs, & David Hopkins. (2011). Relationship between muscle antioxidant status, forms of iron, polyunsaturated fatty acids and functionality (retail colour) of meat in lambs. Meat Science. 90(2). 297–303. 78 indexed citations
12.
Cottrell, Jeremy J., M. B. McDonagh, Frank R. Dunshea, & Robyn D. Warner. (2008). Inhibition of nitric oxide release pre-slaughter increases post-mortem glycolysis and improves tenderness in ovine muscles. Meat Science. 80(2). 511–521. 26 indexed citations
13.
White, Jason D., Tony Vuocolo, M. B. McDonagh, et al.. (2007). Analysis of the callipyge phenotype through skeletal muscle development; association of Dlk1 with muscle precursor cells. Differentiation. 76(3). 283–298. 48 indexed citations
14.
McDonagh, M. B., et al.. (2006). Variation in protein abundance profiles in the M. semitendinosus of lambs bred from sires selected on the basis of growth and muscling potential. Australian Journal of Agricultural Research. 57(6). 671–682. 6 indexed citations
15.
Ponnampalam, Eric N., Frank R. Dunshea, Robyn D. Warner, et al.. (2004). Variation in production traits and plasma metabolites of Merino first- and second-cross lambs during early growth. Science Access. 1(1). 301–301. 1 indexed citations
16.
Cottrell, Jeremy J., Robyn D. Warner, M. B. McDonagh, & Frank R. Dunshea. (2004). Inhibition of endogenous nitric oxide production influences ovine hindlimb metabolism independently of insulin concentrations1. Journal of Animal Science. 82(9). 2558–2567. 7 indexed citations
17.
McDonagh, M. B., R. M. Herd, E. C. Richardson, et al.. (2001). Meat quality and the calpain system of feedlot steers following a single generation of divergent selection for residual feed intake. Australian Journal of Experimental Agriculture. 41(7). 1013–1021. 87 indexed citations
18.
Oddy, V. H., G. S. Harper, P. L. Greenwood, & M. B. McDonagh. (2001). Nutritional and developmental effects on the intrinsic properties of muscles as they relate to the eating quality of beef. Australian Journal of Experimental Agriculture. 41(7). 921–942. 63 indexed citations
19.
McDonagh, M. B., C. Fernández, & V. H. Oddy. (1999). Hind-limb protein metabolism and calpain system activity influence post-mortem change in meat quality in lamb. Meat Science. 52(1). 9–18. 55 indexed citations
20.
Oddy, V. H., et al.. (1998). Effect of divergent selection for yearling growth rate on protein metabolism in hind-limb muscle and whole body of Angus cattle. Livestock Production Science. 56(3). 225–231. 22 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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