T. J. Safranski

872 total citations
32 papers, 709 citations indexed

About

T. J. Safranski is a scholar working on Animal Science and Zoology, Small Animals and Agronomy and Crop Science. According to data from OpenAlex, T. J. Safranski has authored 32 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Animal Science and Zoology, 16 papers in Small Animals and 9 papers in Agronomy and Crop Science. Recurrent topics in T. J. Safranski's work include Effects of Environmental Stressors on Livestock (18 papers), Animal Behavior and Welfare Studies (16 papers) and Reproductive Physiology in Livestock (9 papers). T. J. Safranski is often cited by papers focused on Effects of Environmental Stressors on Livestock (18 papers), Animal Behavior and Welfare Studies (16 papers) and Reproductive Physiology in Livestock (9 papers). T. J. Safranski collaborates with scholars based in United States and China. T. J. Safranski's co-authors include M.C. Lucy, W. R. Lamberson, Jason W. Ross, Jay S Johnson, L.H. Baumgard, Robert P. Rhoads, M.V. Sanz-Fernandez, Donald E. Spiers, P. A. Eichen and Gaurishankar Manandhar and has published in prestigious journals such as Scientific Reports, The FASEB Journal and Biology of Reproduction.

In The Last Decade

T. J. Safranski

32 papers receiving 685 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. J. Safranski United States 17 403 296 153 145 125 32 709
Davendra Kumar India 13 374 0.9× 108 0.4× 276 1.8× 204 1.4× 54 0.4× 72 605
V. P. Maurya India 16 476 1.2× 78 0.3× 341 2.2× 247 1.7× 67 0.5× 68 802
Aírton Alencar de Araújo Brazil 15 268 0.7× 98 0.3× 183 1.2× 130 0.9× 184 1.5× 65 555
Abdul Sammad China 14 349 0.9× 65 0.2× 202 1.3× 134 0.9× 59 0.5× 27 592
Nadia Govoni Italy 15 181 0.4× 150 0.5× 301 2.0× 176 1.2× 110 0.9× 45 685
B.C. do Amaral United States 10 604 1.5× 170 0.6× 597 3.9× 210 1.4× 30 0.2× 19 892
N. M. Cox United States 19 384 1.0× 520 1.8× 487 3.2× 256 1.8× 92 0.7× 37 995
D. L. Davis United States 19 190 0.5× 261 0.9× 331 2.2× 305 2.1× 135 1.1× 51 948
Louisa J. Zak Canada 15 434 1.1× 537 1.8× 268 1.8× 241 1.7× 110 0.9× 30 840
Erhard Kallweit Germany 13 219 0.5× 148 0.5× 124 0.8× 166 1.1× 57 0.5× 70 617

Countries citing papers authored by T. J. Safranski

Since Specialization
Citations

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

Fields of papers citing papers by T. J. Safranski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. J. Safranski

This figure shows the co-authorship network connecting the top 25 collaborators of T. J. Safranski. A scholar is included among the top collaborators of T. J. Safranski 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. J. Safranski. T. J. Safranski 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.
Brito, Luiz F., Betty R. McConn, B. T. Richert, et al.. (2021). Characterizing the postnatal hypothalamic–pituitary–adrenal axis response of in utero heat stressed pigs at 10 and 15 weeks of age. Scientific Reports. 11(1). 22527–22527. 6 indexed citations
2.
Johnson, Jay S, Kara R Stewart, T. J. Safranski, Jason W. Ross, & L.H. Baumgard. (2020). In utero heat stress alters postnatal phenotypes in swine. Theriogenology. 154. 110–119. 35 indexed citations
3.
Johnson, Jay S, Betty R. McConn, B. T. Richert, et al.. (2020). In utero heat stress alters the postnatal innate immune response of pigs. Journal of Animal Science. 98(12). 12 indexed citations
4.
Desaulniers, Amy T, W. R. Lamberson, & T. J. Safranski. (2016). Prenatal heat stress reduces male anogenital distance at birth and adult testis size, which are rescued by concurrent maternal Artemisia absinthium consumption. Journal of Thermal Biology. 57. 84–91. 13 indexed citations
5.
Safranski, T. J., et al.. (2016). 1161 Development of the fetus and fetal reproductive tract in gilts subjected to heat stress from week 4 to 8 of gestation. Journal of Animal Science. 94(suppl_5). 557–557. 5 indexed citations
6.
Johnson, Jay S, Jason W. Ross, Joshua T. Selsby, et al.. (2013). Effects of in‐utero heat stress on post‐natal thermoregulation. The FASEB Journal. 27(S1). 1 indexed citations
7.
Smith, H. Williams, et al.. (2013). Effects of day of farrowing induction and spontaneous versus induced farrowing on sow and suckling piglet performance. Journal of Swine Health and Production. 21(4). 195–202. 6 indexed citations
8.
Johnson, Jay S, Rebecca L. Boddicker, M.V. Sanz-Fernandez, et al.. (2013). Effects of mammalianin uteroheat stress on adolescent body temperature. International Journal of Hyperthermia. 29(7). 696–702. 36 indexed citations
9.
Cammack, K. M., et al.. (2012). Selection for placental efficiency in swine: Conceptus development1. Journal of Animal Science. 90(12). 4217–4222. 16 indexed citations
10.
Johnson, Jay S, Rebecca L. Boddicker, Sarah Pearce, et al.. (2012). Gestational thermal environment alters postnatal response to heat stress. The FASEB Journal. 26(S1). 1 indexed citations
11.
Safranski, T. J.. (2008). Genetic selection of boars. Theriogenology. 70(8). 1310–1316. 28 indexed citations
12.
13.
Safranski, T. J., et al.. (2006). Arachidonate 15-lipoxygenase and ubiquitin as fertility markers in boars. Theriogenology. 67(4). 704–718. 34 indexed citations
14.
Safranski, T. J., et al.. (2005). Selection for placental efficiency in swine: Genetic parameters and trends1. Journal of Animal Science. 83(5). 983–991. 24 indexed citations
15.
Leyen, Klaus van, Gaurishankar Manandhar, Miriam Sutovsky, et al.. (2005). 15-Lipoxygenase is a component of the mammalian sperm cytoplasmic droplet. Reproduction. 130(2). 213–222. 58 indexed citations
16.
Bracken, Christina, T. J. Safranski, T. C. Cantley, M.C. Lucy, & W. R. Lamberson. (2003). Effect of time of ovulation and sperm concentration on fertilization rate in gilts. Theriogenology. 60(4). 669–676. 20 indexed citations
17.
Bracken, Christina, W. R. Lamberson, T. J. Safranski, & M.C. Lucy. (2003). Factors affecting follicular populations on Day 3 postweaning and interval to ovulation in a commercial sow herd. Theriogenology. 60(1). 11–20. 30 indexed citations
18.
Carroll, J. A., et al.. (2003). Short- and long-term influence of perinatal dexamethasone treatment on swine growth. Domestic Animal Endocrinology. 24(3). 193–208. 6 indexed citations
19.
Kapš, M., A. S. A. M. T. Moura, T. J. Safranski, & W. R. Lamberson. (1999). Components of growth in mice hemizygous for a MT/bGH transgene.. Journal of Animal Science. 77(5). 1148–1148. 17 indexed citations
20.
Lamberson, W. R., T. J. Safranski, R. O. Bates, D. H. Keisler, & Robert L. Matteri. (1995). Relationships of serum insulin-like growth factor I concentrations to growth, composition, and reproductive traits of swine1. Journal of Animal Science. 73(11). 3241–3245. 22 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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