Mark Knauer

676 total citations
47 papers, 469 citations indexed

About

Mark Knauer is a scholar working on Small Animals, Animal Science and Zoology and Genetics. According to data from OpenAlex, Mark Knauer has authored 47 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Small Animals, 26 papers in Animal Science and Zoology and 14 papers in Genetics. Recurrent topics in Mark Knauer's work include Animal Behavior and Welfare Studies (30 papers), Animal Nutrition and Physiology (17 papers) and Genetic and phenotypic traits in livestock (13 papers). Mark Knauer is often cited by papers focused on Animal Behavior and Welfare Studies (30 papers), Animal Nutrition and Physiology (17 papers) and Genetic and phenotypic traits in livestock (13 papers). Mark Knauer collaborates with scholars based in United States, United Kingdom and Taiwan. Mark Knauer's co-authors include D. W. Newcom, M. T. See, J. P. Cassady, Kent A. Gray, Christian Maltecca, Francesco Tiezzi, Kenneth J. Stalder, Locke A. Karriker, Austin M. Putz and T. J. Baas and has published in prestigious journals such as Biology of Reproduction, Journal of Animal Science and Energies.

In The Last Decade

Mark Knauer

41 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Knauer United States 12 324 305 215 82 34 47 469
S. Bloemhof Netherlands 6 175 0.5× 233 0.8× 110 0.5× 60 0.7× 12 0.4× 9 316
Laurianne Canario France 18 450 1.4× 466 1.5× 391 1.8× 114 1.4× 40 1.2× 41 752
B.T. Wolf United Kingdom 15 157 0.5× 269 0.9× 364 1.7× 213 2.6× 25 0.7× 29 532
R. N. Goodwin United States 13 203 0.6× 452 1.5× 217 1.0× 48 0.6× 16 0.5× 18 591
B. Hulsegge Netherlands 14 217 0.7× 397 1.3× 194 0.9× 64 0.8× 31 0.9× 31 569
Benny E Mote United States 13 279 0.9× 267 0.9× 243 1.1× 99 1.2× 51 1.5× 47 609
P. Superchi Italy 13 126 0.4× 283 0.9× 138 0.6× 98 1.2× 19 0.6× 41 463
Sornthep Tumwasorn Thailand 10 81 0.3× 174 0.6× 205 1.0× 156 1.9× 27 0.8× 32 339
Justin Fix United States 13 254 0.8× 329 1.1× 281 1.3× 68 0.8× 59 1.7× 25 539
Krzysztof Adamczyk Poland 11 140 0.4× 208 0.7× 171 0.8× 109 1.3× 24 0.7× 25 340

Countries citing papers authored by Mark Knauer

Since Specialization
Citations

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

Fields of papers citing papers by Mark Knauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Knauer

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Knauer. A scholar is included among the top collaborators of Mark Knauer 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 Mark Knauer. Mark Knauer 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.
Huang, Yijian, et al.. (2025). Genetic parameters for image-based estimations of swine feet and leg conformation traits. Journal of Animal Science. 103.
2.
Nguyen, Anh H., et al.. (2023). Towards rapid weight assessment of finishing pigs using a handheld, mobile RGB-D camera. Biosystems Engineering. 226. 155–168. 23 indexed citations
3.
Howard, Jeremy, et al.. (2023). The impact of functional teat number on reproductive throughput in swine. Translational Animal Science. 7(1). txad100–txad100. 4 indexed citations
4.
Gray, Kent A., et al.. (2023). Genetic Parameter Estimates for Teat and Mammary Traits in Commercial Sows. Animals. 13(15). 2400–2400. 2 indexed citations
5.
Knauer, Mark, et al.. (2023). 181 Effect of Temperature and Humidity on Daily Feeding Behavior in Swine. Journal of Animal Science. 101(Supplement_1). 8–9.
6.
Knauer, Mark, et al.. (2023). 183 Sow Location Within Farrowing Room Impacts Reproduction During Heat Stress. Journal of Animal Science. 101(Supplement_1). 10–11. 1 indexed citations
7.
Knauer, Mark, et al.. (2023). Associations between Sow Body Condition with Subsequent Reproductive Performance. Open Journal of Animal Sciences. 13(3). 310–322. 3 indexed citations
8.
Knauer, Mark, et al.. (2023). 115 Sow Supplementation with Vitamin C Enhances Pig Throughput. Journal of Animal Science. 101(Supplement_2). 68–69. 2 indexed citations
9.
Howard, Jeffrey T., et al.. (2023). Estimating backfat depth, loin depth, and intramuscular fat percentage from ultrasound images in swine. animal. 17(10). 100969–100969. 4 indexed citations
10.
Knauer, Mark, et al.. (2023). Associations between Sow Body Lesions with Body Condition and Subsequent Reproductive Performance. Open Journal of Veterinary Medicine. 13(7). 111–121. 3 indexed citations
11.
Knauer, Mark, et al.. (2018). Genetic components for age at puberty and associated traits in female swine. Proceedings of the World Congress on Genetics Applied to Livestock Production. 902. 1 indexed citations
12.
Lu, Duc, et al.. (2017). The relationship between different measures of feed efficiency and feeding behavior traits in Duroc pigs1. Journal of Animal Science. 95(8). 3370–3380. 32 indexed citations
13.
Serão, Nick V. L., et al.. (2017). 043 Genetic parameters for age at puberty and associated traits in swine. Journal of Animal Science. 95(suppl_2). 20–21. 1 indexed citations
14.
Knauer, Mark. (2015). The effects of feeding narasin (Skycis) or virginiamycin (Stafac) on summer finishing pig performance. 3 indexed citations
15.
Knauer, Mark, et al.. (2013). US swine industry productivity analysis, 2005 to 2010. Journal of Swine Health and Production. 21(5). 248–252. 40 indexed citations
16.
Knauer, Mark, J. P. Cassady, D. W. Newcom, & M. T. See. (2012). Gilt development traits associated with genetic line, diet and fertility. Livestock Science. 148(1-2). 159–167. 17 indexed citations
17.
Knauer, Mark, Kenneth J. Stalder, T. Serenius, et al.. (2010). Factors associated with sow stayability in 6 genotypes1. Journal of Animal Science. 88(11). 3486–3492. 35 indexed citations
18.
Knauer, Mark, J. P. Cassady, D. W. Newcom, & M. T. See. (2010). Estimates of variance components for genetic correlations among swine estrus traits. Journal of Animal Science. 88(9). 2913–2919. 17 indexed citations
19.
Knauer, Mark, J. P. Cassady, D. W. Newcom, & M. T. See. (2010). Phenotypic and genetic correlations between gilt estrus, puberty, growth, composition, and structural conformation traits with first-litter reproductive measures. Journal of Animal Science. 89(4). 935–942. 45 indexed citations
20.
Knauer, Mark, Locke A. Karriker, Thomas J. Baas, Colin Johnson, & Kenneth J. Stalder. (2007). Accuracy of sow culling classifications reported by lay personnel on commercial swine farms. Journal of the American Veterinary Medical Association. 231(3). 433–436. 13 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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