D. J. Kerton

419 total citations
17 papers, 340 citations indexed

About

D. J. Kerton is a scholar working on Animal Science and Zoology, Small Animals and Physiology. According to data from OpenAlex, D. J. Kerton has authored 17 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Animal Science and Zoology, 10 papers in Small Animals and 6 papers in Physiology. Recurrent topics in D. J. Kerton's work include Animal Nutrition and Physiology (11 papers), Animal Behavior and Welfare Studies (10 papers) and Meat and Animal Product Quality (7 papers). D. J. Kerton is often cited by papers focused on Animal Nutrition and Physiology (11 papers), Animal Behavior and Welfare Studies (10 papers) and Meat and Animal Product Quality (7 papers). D. J. Kerton collaborates with scholars based in Australia, United States and Ireland. D. J. Kerton's co-authors include Frank R. Dunshea, D. Suster, B. J. Leury, I. McCauley, William T. Oliver, R. J. Harrell, Kym L. Butler, R. H. King, John D. Wark and Ewa Ostrowska and has published in prestigious journals such as British Journal Of Nutrition, Journal of Animal Science and Asian-Australasian Journal of Animal Sciences.

In The Last Decade

D. J. Kerton

15 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. J. Kerton Australia 9 288 149 62 51 34 17 340
J. G. Gentry United States 5 291 1.0× 149 1.0× 24 0.4× 32 0.6× 20 0.6× 8 362
D. W. Newcom United States 8 243 0.8× 121 0.8× 25 0.4× 157 3.1× 25 0.7× 16 346
Françoise Thomas France 10 235 0.8× 165 1.1× 35 0.6× 56 1.1× 29 0.9× 19 356
F.K. Siebrits South Africa 10 215 0.7× 78 0.5× 21 0.3× 59 1.2× 85 2.5× 45 321
C. R. Schwab United States 11 255 0.9× 83 0.6× 51 0.8× 185 3.6× 19 0.6× 20 378
R. Barea Spain 12 472 1.6× 228 1.5× 83 1.3× 106 2.1× 44 1.3× 19 544
E. Decuypere Belgium 8 224 0.8× 79 0.5× 25 0.4× 99 1.9× 101 3.0× 10 395
Rui Charneca Portugal 10 165 0.6× 78 0.5× 42 0.7× 63 1.2× 29 0.9× 27 271
A F Sower United States 9 249 0.9× 256 1.7× 34 0.5× 56 1.1× 75 2.2× 9 349
Serge A. Pommier Canada 12 213 0.7× 63 0.4× 22 0.4× 85 1.7× 36 1.1× 19 353

Countries citing papers authored by D. J. Kerton

Since Specialization
Citations

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

Fields of papers citing papers by D. J. Kerton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. J. Kerton. 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 D. J. Kerton. The network helps show where D. J. Kerton may publish in the future.

Co-authorship network of co-authors of D. J. Kerton

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

All Works

17 of 17 papers shown
1.
Suster, D., et al.. (2006). Longitudinal DXA measurements demonstrate lifetime differences in lean and fat tissue deposition between boars and barrows under individual and group-penned systems. Australian Journal of Agricultural Research. 57(9). 1009–1015. 19 indexed citations
2.
Suster, D., B. J. Leury, D. J. Kerton, & Frank R. Dunshea. (2006). Repeatability of pig body composition measurements using dual energy X-ray absorptiometry and influence of animal size and subregional analyses. Australian Journal of Experimental Agriculture. 46(11). 1447–1447. 8 indexed citations
3.
Suster, D., B. J. Leury, D. J. Kerton, & Frank R. Dunshea. (2006). Dual energy X-ray absorptiometry predicts the effects of dietary protein on body composition of pigs. Australian Journal of Experimental Agriculture. 46(11). 1439–1439. 6 indexed citations
4.
Dunshea, Frank R., et al.. (2005). Hyperinsulinaemia, supplemental protein and branched-chain amino acids when combined can increase milk protein yield in lactating sows. British Journal Of Nutrition. 93(3). 325–332. 19 indexed citations
5.
Suster, D., et al.. (2005). Porcine somatotropin alters body composition and the distribution of fat and lean tissue in the finisher gilt. Australian Journal of Experimental Agriculture. 45(6). 683–683. 8 indexed citations
6.
Dunshea, Frank R., D. Suster, D. J. Kerton, & B. J. Leury. (2003). Exogenous porcine somatotropin administered to neonatal pigs at high doses can alter lifetime fat but not lean tissue deposition. British Journal Of Nutrition. 89(6). 795–801. 12 indexed citations
7.
Oliver, William T., I. McCauley, R. J. Harrell, et al.. (2003). A gonadotropin-releasing factor vaccine (Improvac) and porcine somatotropin have synergistic and additive effects on growth performance in group-housed boars and gilts1,2. Journal of Animal Science. 81(8). 1959–1966. 78 indexed citations
8.
McCauley, I., Matthew J. Watt, D. Suster, et al.. (2003). A GnRF vaccine (Improvac®) and porcine somatotropin (Reporcin®) have synergistic effects upon growth performance in both boars and gilts. Australian Journal of Agricultural Research. 54(1). 11–20. 47 indexed citations
9.
Suster, D., B. J. Leury, Ewa Ostrowska, et al.. (2003). Accuracy of dual energy X-ray absorptiometry (DXA), weight and P2 back fat to predict whole body and carcass composition in pigs within and across experiments. Livestock Production Science. 84(3). 231–242. 74 indexed citations
10.
Dunshea, Frank R., et al.. (2000). Supplemental Fermented Milk Increases Growth Performance of Early-Weaned Pigs. Asian-Australasian Journal of Animal Sciences. 13(4). 511–515. 6 indexed citations
11.
Dunshea, Frank R., et al.. (1999). Supplemental skim milk before and after weaning improves growth performance of pigs. Australian Journal of Agricultural Research. 50(7). 1165–1170. 32 indexed citations
12.
13.
Dunshea, Frank R., P. D. Cranwell, R. G. Campbell, et al.. (1997). Pigs weaned at 14 D reach slaughter weight at the same time as pigs weaned at 28 D but are fatter. Murdoch Research Repository (Murdoch University). 1 indexed citations
14.
Cranwell, P. D., Stefan Pierzynowski, Catarina Rippe, et al.. (1997). Weight and age at weaning influence pancreatic size and enzymatic capacity. Murdoch Research Repository (Murdoch University). 4 indexed citations
15.
Pluske, J.R., P. D. Cranwell, Stefan Pierzynowski, et al.. (1997). Sex and age at weaning affect small intestinal histology and enzymatic capacity. Murdoch Research Repository (Murdoch University). 4 indexed citations
16.
Kerton, D. J., J.R. Pluske, R. G. Campbell, et al.. (1996). The response of 14 day weaned pigs to dietary lysine. Murdoch Research Repository (Murdoch University). 1 indexed citations
17.
Pluske, J.R., R. G. Campbell, P. D. Cranwell, et al.. (1996). Effect of sex, weight and age on post-weaning growth of pigs. Murdoch Research Repository (Murdoch University). 6 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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