Dan Hamilton

804 total citations
25 papers, 648 citations indexed

About

Dan Hamilton is a scholar working on Animal Science and Zoology, Small Animals and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Dan Hamilton has authored 25 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Animal Science and Zoology, 10 papers in Small Animals and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Dan Hamilton's work include Animal Nutrition and Physiology (13 papers), Meat and Animal Product Quality (11 papers) and Animal Behavior and Welfare Studies (10 papers). Dan Hamilton is often cited by papers focused on Animal Nutrition and Physiology (13 papers), Meat and Animal Product Quality (11 papers) and Animal Behavior and Welfare Studies (10 papers). Dan Hamilton collaborates with scholars based in United States, Australia and Brazil. Dan Hamilton's co-authors include M. Ellis, F. K. McKeith, Keren Miller, G. J. Huxham, A. Lipton, E. R. Wilson, B. F. Wolter, D F Parrett, Teresinha Marisa Bertol and Don Morton and has published in prestigious journals such as European Journal of Biochemistry, Journal of Animal Science and Meat Science.

In The Last Decade

Dan Hamilton

24 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Hamilton United States 14 411 170 94 82 81 25 648
R. G. Rodway United Kingdom 16 352 0.9× 303 1.8× 116 1.2× 72 0.9× 176 2.2× 67 956
W. D. Slanger United States 17 256 0.6× 73 0.4× 82 0.9× 61 0.7× 188 2.3× 53 689
Laura Arroyo Spain 15 172 0.4× 132 0.8× 68 0.7× 68 0.8× 58 0.7× 30 454
Giulia Baldi Italy 13 443 1.1× 54 0.3× 35 0.4× 68 0.8× 33 0.4× 26 577
Rafael A Cabrera United States 11 283 0.7× 251 1.5× 56 0.6× 60 0.7× 67 0.8× 13 558
Giulia Esposito Italy 14 276 0.7× 148 0.9× 58 0.6× 97 1.2× 279 3.4× 35 933
E. P. Young United States 11 191 0.5× 77 0.5× 54 0.6× 59 0.7× 63 0.8× 29 452
A. J. Lepine United States 16 240 0.6× 277 1.6× 36 0.4× 71 0.9× 175 2.2× 33 691
M E Johnston United States 13 241 0.6× 191 1.1× 34 0.4× 27 0.3× 54 0.7× 19 377
S. K. Webel United States 17 242 0.6× 348 2.0× 181 1.9× 53 0.6× 212 2.6× 38 842

Countries citing papers authored by Dan Hamilton

Since Specialization
Citations

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

Fields of papers citing papers by Dan Hamilton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Hamilton

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Hamilton. A scholar is included among the top collaborators of Dan Hamilton 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 Dan Hamilton. Dan Hamilton 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
2.
Silva, Gustavo, et al.. (2021). 124 Effects of Different Feeding Levels Prior to Farrowing on Sow and Litter Performance. Journal of Animal Science. 99(Supplement_1). 53–54. 1 indexed citations
3.
Carr, S. N., Dan Hamilton, Keren Miller, et al.. (2008). The effect of ractopamine hydrochloride (Paylean®) on lean carcass yields and pork quality characteristics of heavy pigs fed normal and amino acid fortified diets. Meat Science. 81(3). 533–539. 46 indexed citations
4.
Bertol, Teresinha Marisa, Moira V. Ellis, Matthew J. Ritter, F. K. McKeith, & Dan Hamilton. (2006). VARIATION IN GLYCOLYTIC POTENTIAL AND FRESH PORK QUALITY TRAITS ALONG THE LONGISSIMUS DORSI OF SLAUGHTER WEIGHT PIGS*. Journal of Muscle Foods. 17(3). 237–247. 7 indexed citations
5.
Bertol, Teresinha Marisa, et al.. (2005). Effects of dietary supplementation with L-carnitine and fat on blood acid–base responses to handling in slaughter weight pigs1. Journal of Animal Science. 83(1). 75–81. 12 indexed citations
6.
Carr, S. N., P. J. Rincker, Dan Hamilton, et al.. (2005). A SURVEY OF PORK QUALITY OF DOWNER PIGS. Journal of Muscle Foods. 16(4). 298–305. 13 indexed citations
7.
Hamilton, Dan, M. Ellis, Teresinha Marisa Bertol, & Keren Miller. (2004). Effects of handling intensity and live weight on blood acid-base status in finishing pigs. Journal of Animal Science. 82(8). 2405–2409. 42 indexed citations
8.
Hamilton, Dan, Keren Miller, M. Ellis, F. K. McKeith, & E. R. Wilson. (2003). Relationships between longissimus glycolytic potential and swine growth performance, carcass traits, and pork quality. Journal of Animal Science. 81(9). 2206–2212. 62 indexed citations
9.
Hamilton, Dan, M. Ellis, B. F. Wolter, A. P. Schinckel, & E. R. Wilson. (2003). The growth performance of the progeny of two swine sire lines reared under different floor space allowances. Journal of Animal Science. 81(5). 1126–1126. 40 indexed citations
10.
Hamilton, Dan, M. Ellis, F. K. McKeith, & J. M. Eggert. (2003). Effect of level, source, and time of feeding prior to slaughter of supplementary dietary magnesium on pork quality. Meat Science. 65(2). 853–857. 19 indexed citations
12.
Hamilton, Dan, M. A. Ellis, B. F. Wolter, F. K. McKeith, & E. R. Wilson. (2002). Carcass and meat quality characteristics of the progeny of two swine sire lines reared under differing environmental conditions. Meat Science. 63(2). 257–263. 14 indexed citations
13.
Augspurger, N. R., M. Ellis, Dan Hamilton, et al.. (2002). The effect of sire line on the feeding patterns of grow-finish pigs. Applied Animal Behaviour Science. 75(2). 103–114. 37 indexed citations
14.
Wolter, B. F., M. Ellis, S. E. Curtis, et al.. (2001). Effect of group size on pig performance in a wean-to-finish production system.. Journal of Animal Science. 79(5). 1067–1067. 34 indexed citations
15.
Hamilton, Dan, M. Ellis, Keren Miller, F. K. McKeith, & D F Parrett. (2000). The effect of the Halothane and Rendement Napole genes on carcass and meat quality characteristics of pigs.. Journal of Animal Science. 78(11). 2862–2862. 100 indexed citations
16.
Wolter, B. F., Dan Hamilton, & M. Ellis. (2000). Comparison of one-quarter Chinese Meishan and three-breed conventional cross females for sow productivity, and growth and carcass characteristics of the progeny. Canadian Journal of Animal Science. 80(2). 281–286. 2 indexed citations
17.
Huxham, G. J., A. Lipton, Dan Hamilton, & David Chant. (1989). What ‘makes’ a good doctor?. Medical Education. 23(1). 3–13. 14 indexed citations
18.
Lipton, A., G. J. Huxham, & Dan Hamilton. (1988). School results as predictors of medical school achievement. Medical Education. 22(5). 381–388. 19 indexed citations
19.
Clarke, Frank M., et al.. (1984). Metabolic dependence of glycolytic enzyme binding in rat and sheep heart. European Journal of Biochemistry. 138(3). 643–649. 65 indexed citations
20.
Lipton, A., G. J. Huxham, & Dan Hamilton. (1975). Influence of personality on achievement of medical students. Medical Education. 9(4). 215–222. 8 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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