T. Smith

417 total citations
23 papers, 319 citations indexed

About

T. Smith is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, T. Smith has authored 23 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Agronomy and Crop Science, 7 papers in Animal Science and Zoology and 6 papers in Genetics. Recurrent topics in T. Smith's work include Effects of Environmental Stressors on Livestock (7 papers), Genetic and phenotypic traits in livestock (6 papers) and Ruminant Nutrition and Digestive Physiology (6 papers). T. Smith is often cited by papers focused on Effects of Environmental Stressors on Livestock (7 papers), Genetic and phenotypic traits in livestock (6 papers) and Ruminant Nutrition and Digestive Physiology (6 papers). T. Smith collaborates with scholars based in United States and Canada. T. Smith's co-authors include Stephanie Ward, Britta Rude, J.A. Parish, A.M. Chapa, R J Williams, Thomas V. Riley, Scott T. Willard, J. P. Cassady, Kent A. Gray and Christian Maltecca and has published in prestigious journals such as Journal of Dairy Science, Journal of Animal Science and Meat Science.

In The Last Decade

T. Smith

20 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Smith United States 9 218 132 89 78 37 23 319
J. Sampson United States 6 200 0.9× 213 1.6× 102 1.1× 97 1.2× 34 0.9× 6 435
Krešimir Kuterovac Croatia 8 196 0.9× 85 0.6× 64 0.7× 85 1.1× 38 1.0× 14 290
Britta Rude United States 9 201 0.9× 145 1.1× 71 0.8× 64 0.8× 46 1.2× 34 339
Aírton Alencar de Araújo Brazil 15 268 1.2× 183 1.4× 98 1.1× 130 1.7× 52 1.4× 65 555
Aleena Joy Australia 10 280 1.3× 83 0.6× 84 0.9× 81 1.0× 66 1.8× 19 389
Narian Romanello Brazil 9 224 1.0× 72 0.5× 84 0.9× 42 0.5× 60 1.6× 14 286
Joe W. West United States 6 223 1.0× 96 0.7× 57 0.6× 38 0.5× 46 1.2× 6 305
Edílson Paes Saraiva Brazil 12 376 1.7× 90 0.7× 122 1.4× 75 1.0× 44 1.2× 72 465
I. Loxton Australia 8 221 1.0× 79 0.6× 67 0.8× 78 1.0× 31 0.8× 20 295
J. C. Lees Australia 8 326 1.5× 89 0.7× 133 1.5× 63 0.8× 66 1.8× 17 388

Countries citing papers authored by T. Smith

Since Specialization
Citations

This map shows the geographic impact of T. Smith'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 T. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Smith more than expected).

Fields of papers citing papers by T. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of T. Smith. A scholar is included among the top collaborators of T. Smith 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 T. Smith. T. Smith 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.
Smith, T., et al.. (2024). Prevalence of insulin dysregulation in the non-obese stock-type horse and relationship with morphometric neck measurements. Journal of Equine Veterinary Science. 141. 105151–105151.
2.
Smith, T. & Janet Koprivnikar. (2024). Influences of compound age and identity in the effectiveness of insect quinone secretions against the fungus Beauveria bassiana. Parasitology Research. 123(2). 121–121. 1 indexed citations
3.
Smith, T., Chin Yen Tay, & Janet Koprivnikar. (2023). Effects of insect host chemical secretions on the entomopathogenic nematode Steinernema carpocapsae. Journal of Helminthology. 97. e63–e63. 4 indexed citations
4.
Paz, Henry A., et al.. (2019). Are prebiotics beneficial for digestion in mature and senior horses?. Journal of Equine Veterinary Science. 76. 87–88. 2 indexed citations
5.
Rude, Britta, et al.. (2018). 54 Effect of Direct Fed Microbials on Apparent Nutrient Digestibility and the Fecal Microbial Population in the Sedentary Horse.. Journal of Animal Science. 96(suppl_2). 29–29. 1 indexed citations
6.
Parish, J.A., et al.. (2018). 285 Effects of maternal behavior of crossbred beef cows at calving on adjusted 205-day calf weaning weights.. Journal of Animal Science. 96(suppl_3). 106–106. 2 indexed citations
7.
Memili, Erdoğan, et al.. (2018). 161 Effect of Direct Fed Microbials on Apparent Nutrient Digestibility, Fecal Microbial Population, and Blood Metabolites in the Moderately Exercised Horse.. Journal of Animal Science. 96(suppl_2). 85–85. 1 indexed citations
8.
Carroll, J. A., T. Smith, J Rivera, et al.. (2016). Evaluation of the innate immune response of Angus heifers with genetic marker variation for intramuscular fat deposition following a lipopolysaccharide challenge. Livestock Science. 188. 103–110. 1 indexed citations
9.
Smith, T., et al.. (2016). 003 Evaluation of Udder and Teat Scores in Beef Cattle and the Relationship to Calf Performance. Journal of Animal Science. 95(suppl_1). 2–2. 4 indexed citations
10.
Smith, T.. (2016). 011 Effect of hair shedding on reproductive performance in Angus females. Journal of Animal Science. 94(suppl_1). 5–6.
11.
Smith, T., et al.. (2016). Effects of Supplementing Holstein Heifers with Dietary Melatonin during Late Gestation on Growth and Cardiovascular Measurements of their Offspring. Reproduction in Domestic Animals. 51(2). 240–247. 14 indexed citations
13.
Smith, T., Jeremy G Powell, R. C. Vann, et al.. (2015). Technical note: Digital quantification of eye pigmentation of cattle with white faces. Journal of Animal Science. 93(7). 3654–3660.
14.
Smith, T. & J. P. Cassady. (2015). BILL E. KUNKLE INTERDISCIPLINARY BEEF SYMPOSIUM: Genetic resistance to the effects of grazing endophyte-infected tall fescue1. Journal of Animal Science. 93(12). 5506–5511. 3 indexed citations
15.
Smith, T., et al.. (2013). Short communication: Comparison of the effects of heat stress on milk and component yields and somatic cell score in Holstein and Jersey cows. Journal of Dairy Science. 96(5). 3028–3033. 138 indexed citations
16.
Parish, J.A., et al.. (2012). Evaluation of different methods of cattle hip height data collection. The Professional Animal Scientist. 28(3). 292–299. 7 indexed citations
17.
Parish, J.A., T. Smith, & R. C. Vann. (2012). Mississippi Farm to Feedlot Program 13-year summary: Effects of steer age and morbidity on feedlot performance and carcass traits. The Professional Animal Scientist. 28(2). 158–165. 2 indexed citations
18.
Gray, Kent A., et al.. (2011). Differences in hair coat shedding, and effects on calf weaning weight and BCS among Angus dams. Livestock Science. 140(1-3). 68–71. 32 indexed citations
19.
Smith, T., et al.. (2006). Evaporative Tunnel Cooling of Dairy Cows in the Southeast. I: Effect on Body Temperature and Respiration Rate. Journal of Dairy Science. 89(10). 3904–3914. 32 indexed citations
20.
Smith, T., et al.. (2006). Evaporative Tunnel Cooling of Dairy Cows in the Southeast. II: Impact on Lactation Performance. Journal of Dairy Science. 89(10). 3915–3923. 33 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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