Ken Prusa

1.8k total citations
58 papers, 1.4k citations indexed

About

Ken Prusa is a scholar working on Animal Science and Zoology, Food Science and Small Animals. According to data from OpenAlex, Ken Prusa has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Animal Science and Zoology, 16 papers in Food Science and 10 papers in Small Animals. Recurrent topics in Ken Prusa's work include Meat and Animal Product Quality (48 papers), Animal Nutrition and Physiology (35 papers) and Pharmacological Effects and Assays (11 papers). Ken Prusa is often cited by papers focused on Meat and Animal Product Quality (48 papers), Animal Nutrition and Physiology (35 papers) and Pharmacological Effects and Assays (11 papers). Ken Prusa collaborates with scholars based in United States, China and Italy. Ken Prusa's co-authors include E. Huff‐Lonergan, Jack C. M. Dekkers, M. Malek, M. F. Rothschild, Tracey Baas, Steven M. Lonergan, Massoud Malek, Max F. Rothschild, T. J. Baas and C.A. Reitmeier and has published in prestigious journals such as Journal of Animal Science, Journal of Food Science and Meat Science.

In The Last Decade

Ken Prusa

55 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Prusa United States 19 1.1k 297 203 195 194 58 1.4k
T. D. Pringle United States 22 880 0.8× 255 0.9× 111 0.5× 175 0.9× 248 1.3× 64 1.3k
Marjeta Čandek‐Potokar Slovenia 20 1.0k 0.9× 156 0.5× 240 1.2× 169 0.9× 208 1.1× 98 1.3k
Hervé Rémignon France 19 1.3k 1.1× 150 0.5× 99 0.5× 118 0.6× 247 1.3× 32 1.5k
D.N. D’Souza Australia 21 1.3k 1.2× 169 0.6× 400 2.0× 195 1.0× 146 0.8× 98 1.5k
Martin Škrlep Slovenia 21 1.0k 0.9× 113 0.4× 206 1.0× 172 0.9× 208 1.1× 88 1.3k
Jeehwan Choe South Korea 22 1.1k 0.9× 148 0.5× 133 0.7× 292 1.5× 424 2.2× 63 1.4k
Gunilla Lindahl Sweden 21 1.2k 1.1× 133 0.4× 95 0.5× 320 1.6× 195 1.0× 29 1.4k
Oreste Franci Italy 20 817 0.7× 193 0.6× 105 0.5× 170 0.9× 145 0.7× 61 1.0k
Samer Mudalal Palestinian Territory 15 1.6k 1.4× 119 0.4× 201 1.0× 300 1.5× 246 1.3× 39 1.8k
Christian Touraille France 18 1.1k 0.9× 150 0.5× 94 0.5× 213 1.1× 139 0.7× 34 1.2k

Countries citing papers authored by Ken Prusa

Since Specialization
Citations

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

Fields of papers citing papers by Ken Prusa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Prusa

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Prusa. A scholar is included among the top collaborators of Ken Prusa 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 Ken Prusa. Ken Prusa 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.
Prusa, Ken, et al.. (2015). The impact of dietary fat withdrawal on carcass iodine value, belly characteristics, and changes in body fat over time1. Journal of Animal Science. 93(1). 247–257. 6 indexed citations
3.
DeRouchey, Joel M, Michael D Tokach, Jason C Woodworth, et al.. (2014). Effects of high levels of dietary niacin from nicotinic acid on growth and meat quality of finishing pigs raised during summer. Kansas Agricultural Experiment Station Research Reports. 172–186. 2 indexed citations
6.
Paulk, Chad B., Ken Prusa, Michael D Tokach, et al.. (2012). Effects of increasing dietary bakery by-product on growing-finishing pig growth performance and carcass quality. Kansas Agricultural Experiment Station Research Reports. 155–165. 1 indexed citations
7.
Paulk, Chad B., Ken Prusa, Michael D Tokach, et al.. (2012). Effects of added Zn in diets with Ractopamine HCl on growth performance and carcass quality of finishing pigs in a commercial environment. Kansas Agricultural Experiment Station Research Reports. 356–364. 2 indexed citations
8.
Jacela, J Y, Joel M DeRouchey, Steven S Dritz, et al.. (2011). Amino acid digestibility and energy content of deoiled (solvent-extracted) corn distillers dried grains with solubles for swine and effects on growth performance and carcass characteristics1,2. Journal of Animal Science. 89(6). 1817–1829. 26 indexed citations
9.
Tokach, Mike D, Steven S Dritz, Jim L Nelssen, et al.. (2010). Effects of dried distillers grains with solubles on carcass fat quality of finishing pigs1. Journal of Animal Science. 88(11). 3666–3682. 54 indexed citations
10.
Houser, T. A., Michael D Tokach, Steven S Dritz, et al.. (2009). Sensory characteristics of loins from pigs fed glycerol and ractopamine HCl during the last 28 days of finishing. Kansas Agricultural Experiment Station Research Reports. 274–279. 2 indexed citations
11.
Jacela, J Y, Ken Prusa, Michael D Tokach, et al.. (2009). Effect of dried distillers grains with solubles withdrawal regimens on finishing pig performance and carcass characteristics. Kansas Agricultural Experiment Station Research Reports. 181–191. 7 indexed citations
12.
Tokach, Michael D, Steven S Dritz, T. A. Houser, et al.. (2008). Effects of glycerol and ractopamine hcl (paylean) on growth performance, carcass characteristics, and loin quality of finishing pigs. Kansas Agricultural Experiment Station Research Reports. 236–245. 1 indexed citations
13.
Lammers, Peter J., B. J. Kerr, Thomas Weber, et al.. (2008). Growth performance, carcass characteristics, meat quality, and tissue histology of growing pigs fed crude glycerin-supplemented diets1. Journal of Animal Science. 86(11). 2962–2970. 77 indexed citations
14.
Honeyman, Mark S., et al.. (2007). Effects of triticale-based diets on finishing pig performance and pork quality in deep-bedded hoop barns. Meat Science. 76(3). 428–437. 65 indexed citations
15.
Lonergan, Steven M., Kenneth J. Stalder, E. Huff‐Lonergan, et al.. (2007). Influence of lipid content on pork sensory quality within pH classification1. Journal of Animal Science. 85(4). 1074–1079. 100 indexed citations
16.
Stalder, Kenneth J., et al.. (1998). Effects of preslaughter management on the quality of carcasses from porcine stress syndrome heterozygous market hogs.. Journal of Animal Science. 76(9). 2435–2435. 22 indexed citations
17.
Prusa, Ken, J.A. Love, & Lance Miller. (1989). COMPOSITION, WATER‐HOLDING CAPACITY AND pH OF MUSCLES FROM PIGS SUPPLEMENTED WITH PORCINE SOMATOTROPIN (pSt)1. Journal of Food Quality. 12(6). 467–474. 11 indexed citations
18.
Prusa, Ken, et al.. (1987). Cholesterol Content of Broiler Breast Fillets Heated With and Without the Skin in Convection and Conventional Ovens. Poultry Science. 66(6). 990–994. 6 indexed citations
19.
Reitmeier, C.A. & Ken Prusa. (1987). Cholesterol Content and Sensory Analysis of Ground Pork as Influenced by Fat Level and Heating. Journal of Food Science. 52(4). 916–918. 23 indexed citations
20.
Prusa, Ken, et al.. (1983). Application of isotachophoresis for distinction of acids in wine.. Kvasny Prumysl. 29(1). 7–9. 3 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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