Tracy L. Scheffler

1.4k total citations
40 papers, 876 citations indexed

About

Tracy L. Scheffler is a scholar working on Animal Science and Zoology, Physiology and Molecular Biology. According to data from OpenAlex, Tracy L. Scheffler has authored 40 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Animal Science and Zoology, 13 papers in Physiology and 12 papers in Molecular Biology. Recurrent topics in Tracy L. Scheffler's work include Meat and Animal Product Quality (22 papers), Adipose Tissue and Metabolism (11 papers) and Calpain Protease Function and Regulation (7 papers). Tracy L. Scheffler is often cited by papers focused on Meat and Animal Product Quality (22 papers), Adipose Tissue and Metabolism (11 papers) and Calpain Protease Function and Regulation (7 papers). Tracy L. Scheffler collaborates with scholars based in United States, Brazil and Denmark. Tracy L. Scheffler's co-authors include David E. Gerrard, Sulaiman K. Matarneh, Eric M. England, Hao Shi, Sungkwon Park, J. M. Scheffler, Mauricio A. Elzo, Raluca G. Mateescu, Christopher Alfred Carr and D. D. Johnson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Dairy Science.

In The Last Decade

Tracy L. Scheffler

40 papers receiving 861 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tracy L. Scheffler United States 15 633 234 219 194 122 40 876
Sulaiman K. Matarneh United States 21 892 1.4× 342 1.5× 282 1.3× 241 1.2× 89 0.7× 54 1.2k
Charlotte A. Maltin United Kingdom 15 393 0.6× 257 1.1× 136 0.6× 156 0.8× 102 0.8× 25 785
Jeffery Escobar United States 19 507 0.8× 537 2.3× 288 1.3× 469 2.4× 183 1.5× 27 1.4k
T. D. Pringle United States 22 880 1.4× 248 1.1× 109 0.5× 115 0.6× 255 2.1× 64 1.3k
P.M. Dobbie New Zealand 15 526 0.8× 130 0.6× 57 0.3× 157 0.8× 116 1.0× 27 662
Mirele Poleti Brazil 13 316 0.5× 241 1.0× 91 0.4× 60 0.3× 255 2.1× 49 675
C. C. Warkup United Kingdom 14 667 1.1× 144 0.6× 80 0.4× 144 0.7× 97 0.8× 28 789
G. Kuhn Germany 17 526 0.8× 206 0.9× 197 0.9× 79 0.4× 196 1.6× 33 1.1k
B. R. Wiegand United States 15 680 1.1× 111 0.5× 101 0.5× 54 0.3× 68 0.6× 50 889
Eric M. England United States 12 450 0.7× 171 0.7× 166 0.8× 124 0.6× 34 0.3× 17 584

Countries citing papers authored by Tracy L. Scheffler

Since Specialization
Citations

This map shows the geographic impact of Tracy 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 Tracy 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 Tracy L. Scheffler more than expected).

Fields of papers citing papers by Tracy L. Scheffler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Tracy L. Scheffler. A scholar is included among the top collaborators of Tracy 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 Tracy L. Scheffler. Tracy 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.
Wohlgemuth, Stephanie E., et al.. (2024). Postmortem mitochondria function in longissimus lumborum of Angus and Brahman steers. Meat Science. 215. 109538–109538. 4 indexed citations
2.
Scheffler, Tracy L.. (2024). Resilience in life and death: Metabolism and proteolysis in Bos indicus muscle and meat. Meat Science. 218. 109622–109622. 2 indexed citations
3.
Scheffler, Tracy L., et al.. (2023). Challenges and opportunities of using Bos indicus cattle to meet consumers' demand for quality beef. Meat Science. 207. 109375–109375. 12 indexed citations
4.
Carr, Chad, et al.. (2023). Carcass and meat quality traits in Brangus steers. Translational Animal Science. 7(1). txad021–txad021. 3 indexed citations
5.
Contreras‐Castillo, Carmen J., et al.. (2021). Beef of Nellore cattle has limited tenderization despite pH decline in Longissimus lumborum. Scientia Agricola. 79(3). 5 indexed citations
6.
Delgado, Eduardo Francisquine, Edzard van Santen, D. D. Johnson, et al.. (2019). Resistance to pH decline and slower calpain-1 autolysis are associated with higher energy availability early postmortem in Bos taurus indicus cattle. Meat Science. 159. 107925–107925. 33 indexed citations
7.
Matarneh, Sulaiman K., E. M. England, Tracy L. Scheffler, et al.. (2019). Muscle from grass- and grain-fed cattle differs energetically. Meat Science. 161. 107996–107996. 54 indexed citations
8.
Dang, David, et al.. (2019). Inhibition of mitochondrial calcium uniporter enhances postmortem proteolysis and tenderness in beef cattle. Meat Science. 162. 108039–108039. 47 indexed citations
9.
Elzo, Mauricio A., et al.. (2018). Genomic-polygenic EBV for reproduction, ultrasound-carcass, and tenderness traits in the Florida multibreed Brahman-Angus population. Proceedings of the World Congress on Genetics Applied to Livestock Production. 10. 5 indexed citations
10.
Zenobi, M.G., Tracy L. Scheffler, M.B. Poindexter, et al.. (2018). Feeding increasing amounts of ruminally protected choline decreased fatty liver in nonlactating, pregnant Holstein cows in negative energy status. Journal of Dairy Science. 101(7). 5902–5923. 54 indexed citations
11.
England, Eric M., Sulaiman K. Matarneh, Ranjith Ramanathan, et al.. (2018). Presence of oxygen and mitochondria in skeletal muscle early postmortem. Meat Science. 139. 97–106. 57 indexed citations
12.
Elzo, Mauricio A., et al.. (2018). Association of μ-Calpain and Calpastatin Polymorphisms with Meat Tenderness in a Brahman–Angus Population. Frontiers in Genetics. 9. 56–56. 23 indexed citations
13.
Matarneh, Sulaiman K., et al.. (2017). A mitochondrial protein increases glycolytic flux. Meat Science. 133. 119–125. 37 indexed citations
14.
Johnson, D. D., J. M. Scheffler, Mauricio A. Elzo, et al.. (2017). Brahman genetics influence muscle fiber properties, protein degradation, and tenderness in an Angus-Brahman multibreed herd. Meat Science. 135. 84–93. 53 indexed citations
15.
England, Eric M., et al.. (2015). Excess glycogen does not resolve high ultimate pH of oxidative muscle. Meat Science. 114. 95–102. 87 indexed citations
16.
Matarneh, Sulaiman K., et al.. (2015). Net lactate accumulation and low buffering capacity explain low ultimate pH in the longissimus lumborum of AMPKγ3R200Q mutant pigs. Meat Science. 110. 189–195. 35 indexed citations
17.
England, Eric M., et al.. (2014). pH inactivation of phosphofructokinase arrests postmortem glycolysis. Meat Science. 98(4). 850–857. 80 indexed citations
18.
Fisher, Kimberly, et al.. (2013). Energy Dense, Protein Restricted Diet Increases Adiposity and Perturbs Metabolism in Young, Genetically Lean Pigs. PLoS ONE. 8(8). e72320–e72320. 14 indexed citations
19.
Scheffler, Tracy L., et al.. (2013). Contribution of the phosphagen system to postmortem muscle metabolism in AMP-activated protein kinase γ3 R200Q pig Longissimus muscle. Meat Science. 96(2). 876–883. 12 indexed citations
20.
Scheffler, Tracy L., Sungkwon Park, & David E. Gerrard. (2011). Lessons to learn about postmortem metabolism using the AMPKγ3R200Q mutation in the pig. Meat Science. 89(3). 244–250. 56 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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Breakdown of academic impact, for papers by Sulaiman K. Matarneh Breakdown of academic impact, for papers by Charlotte A. Maltin Breakdown of academic impact, for papers by Jeffery Escobar Breakdown of academic impact, for papers by T. D. Pringle Breakdown of academic impact, for papers by P.M. Dobbie Breakdown of academic impact, for papers by Mirele Poleti Breakdown of academic impact, for papers by C. C. Warkup Breakdown of academic impact, for papers by G. Kuhn Breakdown of academic impact, for papers by B. R. Wiegand Breakdown of academic impact, for papers by Eric M. England
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