S. A. McCoard

1.2k total citations
65 papers, 927 citations indexed

About

S. A. McCoard is a scholar working on Agronomy and Crop Science, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, S. A. McCoard has authored 65 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Agronomy and Crop Science, 31 papers in Genetics and 13 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in S. A. McCoard's work include Reproductive Physiology in Livestock (19 papers), Genetic and phenotypic traits in livestock (17 papers) and Ruminant Nutrition and Digestive Physiology (15 papers). S. A. McCoard is often cited by papers focused on Reproductive Physiology in Livestock (19 papers), Genetic and phenotypic traits in livestock (17 papers) and Ruminant Nutrition and Digestive Physiology (15 papers). S. A. McCoard collaborates with scholars based in New Zealand, United States and Chile. S. A. McCoard's co-authors include J. J. Ford, Francisco Sales, Quentin L. Sciascia, T. Wise, D. D. Lunstra, D. Pacheco, Warren C. McNabb, S. W. Peterson, S. N. McCutcheon and P. M. Harris and has published in prestigious journals such as PLoS ONE, Journal of Dairy Science and Frontiers in Microbiology.

In The Last Decade

S. A. McCoard

61 papers receiving 906 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. A. McCoard New Zealand 19 375 338 194 172 149 65 927
V.E.A. Perry Australia 22 337 0.9× 591 1.7× 104 0.5× 443 2.6× 140 0.9× 50 1.0k
J. D. Kirsch United States 16 303 0.8× 548 1.6× 126 0.6× 107 0.6× 132 0.9× 35 812
Simon K. Walker Australia 19 415 1.1× 413 1.2× 395 2.0× 490 2.8× 142 1.0× 45 1.4k
Bernardo Garziera Gasperin Brazil 18 251 0.7× 454 1.3× 181 0.9× 42 0.2× 252 1.7× 108 991
Veerle Van Hoeck Belgium 19 326 0.9× 683 2.0× 190 1.0× 262 1.5× 368 2.5× 42 1.3k
Raúl Sánchez Sánchez Spain 19 159 0.4× 78 0.2× 100 0.5× 216 1.3× 80 0.5× 45 696
D. L. Davis United States 19 305 0.8× 331 1.0× 207 1.1× 52 0.3× 135 0.9× 51 948
M. Arias‐Álvarez Spain 20 96 0.3× 323 1.0× 127 0.7× 219 1.3× 334 2.2× 69 1.1k
Aydın Güzeloğlu Türkiye 19 395 1.1× 790 2.3× 133 0.7× 35 0.2× 88 0.6× 48 1.0k
R. P. Aitken United Kingdom 18 447 1.2× 792 2.3× 73 0.4× 446 2.6× 160 1.1× 61 1.3k

Countries citing papers authored by S. A. McCoard

Since Specialization
Citations

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

Fields of papers citing papers by S. A. McCoard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. A. McCoard. 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 S. A. McCoard. The network helps show where S. A. McCoard may publish in the future.

Co-authorship network of co-authors of S. A. McCoard

This figure shows the co-authorship network connecting the top 25 collaborators of S. A. McCoard. A scholar is included among the top collaborators of S. A. McCoard 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 S. A. McCoard. S. A. McCoard 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.
Heiser, Axel, et al.. (2024). Increasing the Understanding of Nutrient Transport Capacity of the Ovine Placentome. Animals. 14(9). 1294–1294.
2.
McCoard, S. A., et al.. (2023). Effect of birth rank, and placentome subtype on expression of genes involved in placental nutrient transport in sheep. Theriogenology. 203. 109–117. 2 indexed citations
3.
McCoard, S. A., D.R. Stevens, Diana Selbie, et al.. (2023). Supporting the growth of the dairy sheep industry in New Zealand–industry update and review of a programme linking industry and science. New Zealand Journal of Agricultural Research. 68(2). 183–217. 7 indexed citations
4.
5.
McCoard, S. A. & D. Pacheco. (2023). The significance of N-carbamoylglutamate in ruminant production. Journal of Animal Science and Biotechnology. 14(1). 48–48. 8 indexed citations
6.
Paván, E., S. A. McCoard, Michael Agnew, et al.. (2022). Effects of Dairy Lambs’ Rearing System and Slaughter Age on Consumer Liking of Lamb Meat and Its Association with Lipid Content and Composition. Foods. 11(15). 2350–2350. 4 indexed citations
7.
Hammond, K.J., et al.. (2021). The effect of a fodder beet versus rye‐grass grazing regime during mid‐to‐late gestation twin‐bearing ewes on dam and progeny performance and lamb survival. New Zealand Journal of Agricultural Research. 65(2-3). 145–162. 6 indexed citations
8.
Sales, Francisco, Óscar A. Peralta, S. A. McCoard, et al.. (2019). Maternal Supplementation with Antioxidant Vitamins in Sheep Results in Increased Transfer to the Fetus and Improvement of Fetal Antioxidant Status and Development. Antioxidants. 8(3). 59–59. 16 indexed citations
9.
Schütz, Karin E., et al.. (2018). The impact of different management systems on behaviour and milk production of dairy ewes in different stages of lactation; a case study.. Figshare. 78. 116–121. 3 indexed citations
10.
Sales, Francisco, et al.. (2018). PSXV-19 Fetal Blood Oxygenation and Placental Efficiency Is Increased By Melatonin Implants in Sheep.. Journal of Animal Science. 96(suppl_3). 239–240. 1 indexed citations
11.
McCoard, S. A., Francisco Sales, & Quentin L. Sciascia. (2017). Invited review: impact of specific nutrient interventions during mid-to-late gestation on physiological traits important for survival of multiple-born lambs. animal. 11(10). 1727–1736. 19 indexed citations
12.
Khan, M. A., Siva Ganesh, S. W. Peterson, et al.. (2017). The effects of early access to meal on the behaviour of artificially reared dairy lambs. Figshare. 77. 18–22. 1 indexed citations
13.
Khan, M. A., S. W. Peterson, P. C. H. Morel, et al.. (2017). How does feeding meal affect growth of artificially reared East Friesian-cross dairy lambs?. Figshare. 77. 13–17. 4 indexed citations
14.
McCoard, S. A., et al.. (2016). Mammary transcriptome analysis of lactating dairy cows following administration of bovine growth hormone. animal. 10(12). 2008–2017. 11 indexed citations
15.
Barnett, Matthew P. G., et al.. (2004). Protein synthesis in mammary epithelial cellsharvested from cows treated with growth hormoneor atropine. Journal of Animal and Feed Sciences. 13(Suppl. 1). 373–376. 1 indexed citations
16.
McCoard, S. A., et al.. (2003). Endocrine and molecular influences on testicular development in Meishan and White Composite boars. Journal of Endocrinology. 178(3). 405–416. 22 indexed citations
17.
McCoard, S. A., T. Wise, D. D. Lunstra, & J. J. Ford. (2003). Stereological evaluation of Sertoli cell ontogeny during fetal and neonatal life in two diverse breeds of swine. Journal of Endocrinology. 178(3). 395–403. 46 indexed citations
18.
19.
McCoard, S. A., Warren C. McNabb, S. W. Peterson, S. N. McCutcheon, & P. M. Harris. (2001). Muscle growth, cell number, type and morphometry in single and twin fetal lambs during mid to late gestation. Reproduction Fertility and Development. 12(6). 319–327. 43 indexed citations
20.
McCoard, S. A., et al.. (2001). Temporal and Spatial Localization Patterns of Gata4 During Porcine Gonadogenesis1. Biology of Reproduction. 65(2). 366–374. 56 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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