T.L. Scheffler

1.1k total citations
20 papers, 822 citations indexed

About

T.L. Scheffler is a scholar working on Molecular Biology, Animal Science and Zoology and Physiology. According to data from OpenAlex, T.L. Scheffler has authored 20 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Animal Science and Zoology and 7 papers in Physiology. Recurrent topics in T.L. Scheffler's work include Meat and Animal Product Quality (10 papers), Metabolism, Diabetes, and Cancer (10 papers) and Adipose Tissue and Metabolism (7 papers). T.L. Scheffler is often cited by papers focused on Meat and Animal Product Quality (10 papers), Metabolism, Diabetes, and Cancer (10 papers) and Adipose Tissue and Metabolism (7 papers). T.L. Scheffler collaborates with scholars based in United States, Netherlands and South Korea. T.L. Scheffler's co-authors include David E. Gerrard, Sulaiman K. Matarneh, E. M. England, S. Park, Sandra Rossie, J. M. Scheffler, A.L. Grant, Andrea Gunawan, Paula Tríbulo and L. G. B. Siqueira and has published in prestigious journals such as Journal of Dairy Science, American Journal of Physiology-Cell Physiology and Journal of Animal Science.

In The Last Decade

T.L. Scheffler

20 papers receiving 815 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.L. Scheffler United States 13 453 341 210 139 76 20 822
Charlotte A. Maltin United Kingdom 15 393 0.9× 257 0.8× 136 0.6× 156 1.1× 102 1.3× 25 785
Tracy L. Scheffler United States 15 633 1.4× 234 0.7× 219 1.0× 194 1.4× 122 1.6× 40 876
Denis Moënnoz Switzerland 13 169 0.4× 260 0.8× 202 1.0× 117 0.8× 117 1.5× 16 797
Yanjun Cui China 18 243 0.5× 416 1.2× 141 0.7× 57 0.4× 114 1.5× 35 888
I. Fiedler Germany 15 666 1.5× 406 1.2× 223 1.1× 170 1.2× 247 3.3× 21 1.1k
Chunchun Han China 20 244 0.5× 508 1.5× 147 0.7× 98 0.7× 247 3.3× 113 1.1k
Ewa Poławska Poland 17 537 1.2× 186 0.5× 114 0.5× 25 0.2× 124 1.6× 63 992
Louis L. Lefaucheur France 16 649 1.4× 559 1.6× 393 1.9× 249 1.8× 205 2.7× 21 1.3k
Marie‐Hélène Perruchot France 17 167 0.4× 243 0.7× 138 0.7× 38 0.3× 91 1.2× 33 648
Susana V. Martins Portugal 18 445 1.0× 172 0.5× 105 0.5× 39 0.3× 65 0.9× 37 895

Countries citing papers authored by T.L. Scheffler

Since Specialization
Citations

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

Fields of papers citing papers by T.L. Scheffler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T.L. Scheffler

This figure shows the co-authorship network connecting the top 25 collaborators of T.L. Scheffler. A scholar is included among the top collaborators of T.L. Scheffler 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.L. Scheffler. T.L. Scheffler 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.
Guo, Qipeng, T.L. Scheffler, B. T. Richert, et al.. (2020). Ractopamine changes in pork quality are not mediated by changes in muscle glycogen or lactate accumulation postmortem. Meat Science. 174. 108418–108418. 7 indexed citations
2.
Tríbulo, Paula, L. G. B. Siqueira, Lilian J. Oliveira, T.L. Scheffler, & Peter J. Hansen. (2017). Identification of potential embryokines in the bovine reproductive tract. Journal of Dairy Science. 101(1). 690–704. 63 indexed citations
3.
Elzo, Mauricio A., Raluca G. Mateescu, D. D. Johnson, et al.. (2017). Genomic-polygenic and polygenic predictions for nine ultrasound and carcass traits in Angus-Brahman multibreed cattle using three sets of genotypes. Livestock Science. 202. 58–66. 16 indexed citations
4.
England, E. M., Hao Shi, Sulaiman K. Matarneh, et al.. (2017). Chronic activation of AMP-activated protein kinase increases monocarboxylate transporter 2 and 4 expression in skeletal muscle1. Journal of Animal Science. 95(8). 3552–3562. 1 indexed citations
5.
Patterson, Brett, Sulaiman K. Matarneh, Hao Shi, et al.. (2016). Pectoralis major muscle of turkey displays divergent function as correlated with meat quality. Poultry Science. 96(5). 1492–1503. 13 indexed citations
6.
Elgin, Jennifer, Brett Patterson, Sulaiman K. Matarneh, et al.. (2016). Muscle characteristics only partially explain color variations in fresh hams. Meat Science. 128. 88–96. 12 indexed citations
7.
Scheffler, T.L. & David E. Gerrard. (2016). GROWTH AND DEVELOPMENT SYMPOSIUM: Adenosine monophosphate–activated protein kinase and mitochondria in Rendement Napole pig growth1. Journal of Animal Science. 94(9). 3601–3612. 3 indexed citations
8.
Matarneh, Sulaiman K., et al.. (2016). 132 A mitochondrial protein increases glycolytic flux in muscle postmortem. Journal of Animal Science. 94(suppl_2). 62–62. 2 indexed citations
9.
England, E. M., et al.. (2014). Altered AMP deaminase activity may extend postmortem glycolysis. Meat Science. 102. 8–14. 45 indexed citations
10.
England, E. M., et al.. (2014). AMP deaminase inhibition extends postmortem glycolysis. Meat Science. 101. 155–155. 1 indexed citations
11.
England, E. M., et al.. (2013). Exploring the unknowns involved in the transformation of muscle to meat. Meat Science. 95(4). 837–843. 68 indexed citations
12.
13.
Scheffler, T.L., et al.. (2013). High glycolytic potential does not predict low ultimate pH in pork. Meat Science. 95(1). 85–91. 49 indexed citations
14.
Scheffler, T.L., J. M. Scheffler, Clyde Don, et al.. (2013). Moisture absorption early postmortem predicts ultimate drip loss in fresh pork. Meat Science. 96(2). 971–976. 12 indexed citations
15.
Scheffler, T.L., et al.. (2013). AMPK activity is regulated by calcium-mediated protein phosphatase 2A activity. Cell Calcium. 53(3). 217–223. 74 indexed citations
16.
Scheffler, T.L., J. M. Scheffler, S. Park, et al.. (2013). Fiber hypertrophy and increased oxidative capacity can occur simultaneously in pig glycolytic skeletal muscle. American Journal of Physiology-Cell Physiology. 306(4). C354–C363. 38 indexed citations
17.
Park, S., T.L. Scheffler, & David E. Gerrard. (2011). Chronic high cytosolic calcium decreases AICAR-induced AMPK activity via calcium/calmodulin activated protein kinase II signaling cascade. Cell Calcium. 50(1). 73–83. 31 indexed citations
18.
Gunawan, Andrea, et al.. (2008). Myosin heavy chain isoform content and energy metabolism can be uncoupled in pig skeletal muscle. Journal of Animal Science. 87(2). 522–531. 42 indexed citations
19.
Park, S., T.L. Scheffler, Andrea Gunawan, et al.. (2008). Chronic elevated calcium blocks AMPK-induced GLUT-4 expression in skeletal muscle. American Journal of Physiology-Cell Physiology. 296(1). C106–C115. 67 indexed citations
20.
Scheffler, T.L. & David E. Gerrard. (2007). Mechanisms controlling pork quality development: The biochemistry controlling postmortem energy metabolism. Meat Science. 77(1). 7–16. 276 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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