P.F. Varley

1.1k total citations
23 papers, 691 citations indexed

About

P.F. Varley is a scholar working on Animal Science and Zoology, Genetics and Nutrition and Dietetics. According to data from OpenAlex, P.F. Varley has authored 23 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Animal Science and Zoology, 7 papers in Genetics and 6 papers in Nutrition and Dietetics. Recurrent topics in P.F. Varley's work include Animal Nutrition and Physiology (16 papers), Genetic and phenotypic traits in livestock (7 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). P.F. Varley is often cited by papers focused on Animal Nutrition and Physiology (16 papers), Genetic and phenotypic traits in livestock (7 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). P.F. Varley collaborates with scholars based in Ireland, Germany and Denmark. P.F. Varley's co-authors include J.V. O’Doherty, C. J. O’Shea, J.J. Callan, Torres Sweeney, Henry Reyer, Klaus Wimmers, Just Jensen, Mahmoud Shirali, Gillian E. Gardiner and Peadar G. Lawlor and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

P.F. Varley

23 papers receiving 665 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P.F. Varley Ireland 15 396 217 142 111 95 23 691
A.B. Karnuah United States 10 447 1.1× 98 0.5× 187 1.3× 74 0.7× 37 0.4× 18 583
P. Górka Poland 16 291 0.7× 136 0.6× 239 1.7× 311 2.8× 105 1.1× 74 1.1k
K G Friesen United States 15 759 1.9× 82 0.4× 84 0.6× 290 2.6× 79 0.8× 42 947
R. D. Coffey United States 7 398 1.0× 84 0.4× 44 0.3× 103 0.9× 132 1.4× 8 608
G. Zaghini Italy 15 240 0.6× 163 0.8× 44 0.3× 92 0.8× 99 1.0× 31 509
Yutaka Karasawa Japan 16 512 1.3× 129 0.6× 38 0.3× 52 0.5× 112 1.2× 79 727
Alysson Saraiva Brazil 14 336 0.8× 69 0.3× 48 0.3× 152 1.4× 63 0.7× 75 491
Aloízio Soares Ferreira Brazil 14 507 1.3× 54 0.2× 75 0.5× 172 1.5× 26 0.3× 92 628
O. Kedar Israel 9 518 1.3× 112 0.5× 174 1.2× 30 0.3× 114 1.2× 10 856
Z.M. Kowalski Poland 16 281 0.7× 105 0.5× 289 2.0× 289 2.6× 123 1.3× 67 1.1k

Countries citing papers authored by P.F. Varley

Since Specialization
Citations

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

Fields of papers citing papers by P.F. Varley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.F. Varley. 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 P.F. Varley. The network helps show where P.F. Varley may publish in the future.

Co-authorship network of co-authors of P.F. Varley

This figure shows the co-authorship network connecting the top 25 collaborators of P.F. Varley. A scholar is included among the top collaborators of P.F. Varley 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 P.F. Varley. P.F. Varley 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.
Shirali, Mahmoud, P.F. Varley, & Just Jensen. (2018). Bayesian estimation of direct and correlated responses to selection on linear or ratio expressions of feed efficiency in pigs. Genetics Selection Evolution. 50(1). 33–33. 21 indexed citations
2.
3.
Reyer, Henry, P.F. Varley, Eduard Muráni, Siriluck Ponsuksili, & Klaus Wimmers. (2017). Genetics of body fat mass and related traits in a pig population selected for leanness. Scientific Reports. 7(1). 9118–9118. 17 indexed citations
4.
Reyer, Henry, Mahmoud Shirali, Siriluck Ponsuksili, et al.. (2017). Exploring the genetics of feed efficiency and feeding behaviour traits in a pig line highly selected for performance characteristics. Molecular Genetics and Genomics. 292(5). 1001–1011. 46 indexed citations
5.
Shirali, Mahmoud, P.F. Varley, & Just Jensen. (2017). Longitudinal genetic dissection of feed efficiency and feeding behaviour in MaxGro pigs. Livestock Science. 199. 79–85. 7 indexed citations
6.
McCormack, Ursula M., Tânia Curião, Stefan G. Buzoianu, et al.. (2017). Exploring a Possible Link between the Intestinal Microbiota and Feed Efficiency in Pigs. Applied and Environmental Microbiology. 83(15). 206 indexed citations
7.
Stanton, Catherine, Craig P. Murphy, S.A. Holden, et al.. (2016). The effect of dietary supplementation of algae rich in docosahexaenoic acid on boar fertility. Theriogenology. 90. 78–87. 29 indexed citations
8.
Stanton, Catherine, C. O’Brien, Craig P. Murphy, et al.. (2016). The effect of dietary supplementation of algae rich in docosahexaenoic acid on boar fertility. Animal Reproduction Science. 169. 110–110. 2 indexed citations
9.
10.
O’Shea, C. J., et al.. (2013). The effect of protease and xylanase enzymes on growth performance, nutrient digestibility, and manure odour in grower–finisher pigs. Animal Feed Science and Technology. 189. 88–97. 74 indexed citations
11.
O’Shea, C. J., et al.. (2012). The effect of protease and nonstarch polysaccharide enzymes on manure odor and ammonia emissions from finisher pigs. Journal of Animal Science. 90(suppl_4). 369–371. 19 indexed citations
12.
O’Shea, C. J., et al.. (2012). The effect of seaweed extract as an alternative to zinc oxide diets on growth performance, nutrient digestibility, and fecal score of weaned piglets. Journal of Animal Science. 90(suppl_4). 224–226. 11 indexed citations
13.
O’Shea, C. J., et al.. (2012). The effect of protease and xylanase enzymes on growth performance and nutrient digestibility in finisher pigs. Journal of Animal Science. 90(suppl_4). 375–377. 29 indexed citations
14.
15.
Varley, P.F., B. Flynn, J.J. Callan, & J.V. O’Doherty. (2011). Effect of phytase level in a low phosphorus diet on performance and bone development in weaner pigs and the subsequent effect on finisher pig bone development. Livestock Science. 138(1-3). 152–158. 18 indexed citations
16.
Varley, P.F., et al.. (2010). Effect of dietary mineral level and inulin inclusion on phosphorus, calcium and nitrogen utilisation, intestinal microflora and bone development. Journal of the Science of Food and Agriculture. 90(14). 2447–2454. 17 indexed citations
17.
Varley, P.F., Torres Sweeney, Marion T. Ryan, & J.V. O’Doherty. (2010). The effect of phosphorus restriction during the weaner-grower phase on compensatory growth, serum osteocalcin and bone mineralization in gilts. Livestock Science. 135(2-3). 282–288. 44 indexed citations
18.
Varley, P.F., P.B. Lynch, J.J. Callan, & J.V. O’Doherty. (2010). Effect of dietary phosphorus level and phytase inclusion on weaner pig performance and subsequent bone development. Livestock Science. 134(1-3). 215–217. 2 indexed citations
19.
Varley, P.F., J.J. Callan, & J.V. O’Doherty. (2010). Effect of crude protein and phosphorus level in a phytase supplemented grower finisher pig diet on phosphorus and calcium metabolism. Livestock Science. 134(1-3). 94–96. 1 indexed citations
20.
Agarwal, Mukesh K., et al.. (2008). Transposon-based mutagenesis identifies short RIP1 as an activator of NFκB. Cell Cycle. 7(14). 2249–2256. 5 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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