Benny E Mote

865 total citations
47 papers, 609 citations indexed

About

Benny E Mote is a scholar working on Genetics, Animal Science and Zoology and Small Animals. According to data from OpenAlex, Benny E Mote has authored 47 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 23 papers in Animal Science and Zoology and 20 papers in Small Animals. Recurrent topics in Benny E Mote's work include Genetic and phenotypic traits in livestock (20 papers), Animal Behavior and Welfare Studies (20 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). Benny E Mote is often cited by papers focused on Genetic and phenotypic traits in livestock (20 papers), Animal Behavior and Welfare Studies (20 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). Benny E Mote collaborates with scholars based in United States, Canada and United Kingdom. Benny E Mote's co-authors include Eric Psota, Ty B Schmidt, Lance C. Pérez, M. F. Rothschild, Kenneth J. Stalder, T. Serenius, James E. Koltes, Dawn Koltes, D. S. Hubbell and Max F. Rothschild and has published in prestigious journals such as Sensors, Journal of Animal Science and Journal of Heredity.

In The Last Decade

Benny E Mote

45 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benny E Mote United States 13 279 267 243 99 75 47 609
Tiago Bresolin Brazil 16 102 0.4× 237 0.9× 461 1.9× 147 1.5× 59 0.8× 50 689
J. M. Young United States 15 161 0.6× 444 1.7× 281 1.2× 40 0.4× 135 1.8× 38 740
Anne-Charlotte Olsson Sweden 10 299 1.1× 220 0.8× 62 0.3× 56 0.6× 17 0.2× 31 425
Roberto Steri Italy 16 79 0.3× 218 0.8× 394 1.6× 155 1.6× 49 0.7× 38 589
Piotr Ślósarz Poland 13 83 0.3× 208 0.8× 128 0.5× 119 1.2× 36 0.5× 43 490
Dan Børge Jensen Denmark 11 155 0.6× 132 0.5× 77 0.3× 126 1.3× 25 0.3× 30 317
Jacquelyn P. Boerman United States 14 129 0.5× 255 1.0× 349 1.4× 531 5.4× 50 0.7× 60 778
Mark Knauer United States 12 324 1.2× 305 1.1× 215 0.9× 82 0.8× 23 0.3× 47 469
R.S. Morrison Australia 18 645 2.3× 575 2.2× 214 0.9× 110 1.1× 108 1.4× 62 989
Alberto Sabbioni Italy 17 151 0.5× 334 1.3× 353 1.5× 185 1.9× 79 1.1× 81 843

Countries citing papers authored by Benny E Mote

Since Specialization
Citations

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

Fields of papers citing papers by Benny E Mote

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benny E Mote. 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 Benny E Mote. The network helps show where Benny E Mote may publish in the future.

Co-authorship network of co-authors of Benny E Mote

This figure shows the co-authorship network connecting the top 25 collaborators of Benny E Mote. A scholar is included among the top collaborators of Benny E Mote 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 Benny E Mote. Benny E Mote 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
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Schmidt, Ty B, et al.. (2023). Identifying Early-Life Behavior to Predict Mothering Ability in Swine Utilizing NUtrack System. Animals. 13(18). 2897–2897. 1 indexed citations
4.
Schmidt, Ty B, et al.. (2023). Utilizing NUtrack to Access the Activity Levels in Pigs with Varying Degrees of Genetic Potential for Growth and Feed Intake. Animals. 13(10). 1581–1581. 2 indexed citations
5.
Eickhoff, Simon B., et al.. (2021). 57 The Impact of Functional Teat Number on Piglet Survival and Sow Efficiency. Journal of Animal Science. 99(Supplement_1). 149–149. 3 indexed citations
6.
Psota, Eric, Ty B Schmidt, Benny E Mote, & Lance C. Pérez. (2020). Long-Term Tracking of Group-Housed Livestock Using Keypoint Detection and MAP Estimation for Individual Animal Identification. Sensors. 20(13). 3670–3670. 57 indexed citations
7.
Rempel, Lea A., et al.. (2020). The effect of varicocele on semen quality in boars exposed to heat stress1. Translational Animal Science. 4(1). 293–298. 7 indexed citations
8.
Sanglard, Leticia P., Benny E Mote, Philip Willson, et al.. (2020). Genomic Analysis of IgG Antibody Response to Common Pathogens in Commercial Sows in Health-Challenged Herds. Frontiers in Genetics. 11. 593804–593804. 2 indexed citations
9.
Gray, Kent A., et al.. (2019). Genetic relationships among sperm quality traits of Duroc boars collected during the summer season. Animal Reproduction Science. 206. 85–92. 7 indexed citations
10.
Lahmers, Kevin K., Seth Harris, Benny E Mote, et al.. (2019). Detection of atypical porcine pestivirus genome in newborn piglets affected by congenital tremor and high preweaning mortality1. Journal of Animal Science. 97(10). 4093–4100. 15 indexed citations
11.
Serão, Nick V. L., Benny E Mote, Philip Willson, et al.. (2016). Genetic and genomic basis of antibody response to porcine reproductive and respiratory syndrome (PRRS) in gilts and sows. Genetics Selection Evolution. 48(1). 51–51. 23 indexed citations
12.
Gorbach, Danielle M., Benny E Mote, Liviu R. Totir, Rohan L. Fernando, & M. F. Rothschild. (2010). Polydactyl Inheritance in the Pig. Journal of Heredity. 101(4). 469–475. 11 indexed citations
13.
Mote, Benny E, Kenneth J. Koehler, J. W. Mabry, Kenneth J. Stalder, & M. F. Rothschild. (2009). Identification of genetic markers for productive life in commercial sows1. Journal of Animal Science. 87(7). 2187–2195. 13 indexed citations
14.
Fan, Bin, Suneel Kumar Onteru, Benny E Mote, et al.. (2009). Large-scale association study for structural soundness and leg locomotion traits in the pig. Genetics Selection Evolution. 41(1). 14–14. 49 indexed citations
15.
Alexander, L. J., L. A. Kuehn, Timothy P. L. Smith, et al.. (2009). A Limousin specific myostatin allele affects longissimus muscle area and fatty acid profiles in a Wagyu-Limousin F2 population1,2. Journal of Animal Science. 87(5). 1576–1581. 23 indexed citations
16.
Sironen, Anu, Pekka Uimari, T. Serenius, et al.. (2009). Effect of polymorphisms in candidate genes on reproduction traits in Finnish pig populations1. Journal of Animal Science. 88(3). 821–827. 24 indexed citations
17.
Schwab, C. R., et al.. (2009). An evaluation of four candidate genes for use in selection programmes aimed at increased intramuscular fat in Duroc swine. Journal of Animal Breeding and Genetics. 126(3). 228–236. 31 indexed citations
18.
Mote, Benny E, T. Serenius, Kenneth J. Stalder, & Max F. Rothschild. (2006). The holy grail for pigs: candidate genes affecting sow productive life. Jukuri (Natural Resources Institute Finland (Luke)). 22–22. 2 indexed citations
19.
Schwab, C. R., et al.. (2006). Selection for intramuscular fat in Duroc swine.. 29. 6–14. 1 indexed citations
20.
Mote, Benny E & M. F. Rothschild. (2006). SNP detection and linkage mapping for pig genes involved in growth. Animal Genetics. 37(3). 295–296. 9 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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