T.E. Lawrence

2.7k total citations
159 papers, 1.7k citations indexed

About

T.E. Lawrence is a scholar working on Animal Science and Zoology, Small Animals and Food Science. According to data from OpenAlex, T.E. Lawrence has authored 159 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Animal Science and Zoology, 49 papers in Small Animals and 34 papers in Food Science. Recurrent topics in T.E. Lawrence's work include Meat and Animal Product Quality (70 papers), Pharmacological Effects and Assays (44 papers) and Animal Nutrition and Physiology (32 papers). T.E. Lawrence is often cited by papers focused on Meat and Animal Product Quality (70 papers), Pharmacological Effects and Assays (44 papers) and Animal Nutrition and Physiology (32 papers). T.E. Lawrence collaborates with scholars based in United States, France and Australia. T.E. Lawrence's co-authors include Michael E. Dikeman, J. P. Hutcheson, Melvin C. Hunt, D.E. Johnson, Curtis L. Kastner, D. A. Yates, D. L. VanOverbeke, W. T. Nichols, T. H. Montgomery and M. N. Streeter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Microbiology and Journal of Animal Science.

In The Last Decade

T.E. Lawrence

139 papers receiving 1.6k 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.E. Lawrence United States 21 1.2k 429 417 344 246 159 1.7k
S.D. Eicher United States 27 1.2k 1.0× 167 0.4× 871 2.1× 411 1.2× 248 1.0× 71 2.0k
Nicole C Burdick Sanchez United States 21 1.0k 0.8× 131 0.3× 727 1.7× 576 1.7× 234 1.0× 113 1.6k
A.J.M. Jansman Netherlands 26 1.6k 1.3× 323 0.8× 484 1.2× 390 1.1× 142 0.6× 115 2.4k
M. L. Galyean United States 22 857 0.7× 303 0.7× 399 1.0× 1.1k 3.1× 332 1.3× 50 2.0k
Ty B Schmidt United States 16 600 0.5× 171 0.4× 303 0.7× 235 0.7× 168 0.7× 92 1.1k
Joe Crenshaw United States 22 1.1k 0.9× 310 0.7× 475 1.1× 190 0.6× 146 0.6× 68 2.0k
D. Harrington Ireland 23 727 0.6× 600 1.4× 289 0.7× 363 1.1× 172 0.7× 50 1.9k
A. K. W. TONG Canada 24 1.6k 1.3× 239 0.6× 711 1.7× 451 1.3× 569 2.3× 98 2.2k
Marcos H. Rostagno United States 22 1.3k 1.1× 962 2.2× 320 0.8× 141 0.4× 72 0.3× 48 2.4k
Jung Min Heo South Korea 21 1.5k 1.3× 295 0.7× 449 1.1× 170 0.5× 84 0.3× 145 2.1k

Countries citing papers authored by T.E. Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by T.E. Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T.E. Lawrence

This figure shows the co-authorship network connecting the top 25 collaborators of T.E. Lawrence. A scholar is included among the top collaborators of T.E. Lawrence 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.E. Lawrence. T.E. Lawrence 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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Lawrence, T.E., et al.. (2025). 389 Proportionate mass of bovine heart, lung, and liver in response to animal mass.. Journal of Animal Science. 103(Supplement_3). 47–47.
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Lawrence, T.E., et al.. (2024). First report of isolation of Fusobacterium varium from liver abscesses and ruminal and colonic epithelial tissues of feedlot cattle*. Applied Animal Science. 40(3). 244–249. 3 indexed citations
5.
Sanchez, Nicole C Burdick, T.E. Lawrence, T. G. Nagaraja, et al.. (2024). 473 Evaluation of hematology outcomes as indicators of liver abscess formation in beef × dairy cross steers. Journal of Animal Science. 102(Supplement_3). 385–386. 1 indexed citations
6.
Broadway, Paul R., et al.. (2024). Liver abscesses—New perspectives on a historic fed-cattle issue*†‡. Applied Animal Science. 40(3). 237–243. 11 indexed citations
7.
Nichols, W. T., et al.. (2024). Fabrication yields and allometric growth coefficients of carcass components of serially slaughtered implanted or non-implanted beef steers. Applied Animal Science. 40(5). 647–660. 1 indexed citations
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Hales, Kristin E, Xiaorong Shi, T. G. Nagaraja, et al.. (2024). Development of an experimental model for liver abscess induction in Holstein steers using an acidotic diet challenge and bacterial inoculation. Journal of Animal Science. 102. 6 indexed citations
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Lawrence, T.E., et al.. (2016). Post-mortem mechanical injection of low quality beef loins with pork back fat improves palatability and sensory attributes. Meat Science. 123. 205–210. 8 indexed citations
12.
Gasch, Consolación, et al.. (2013). Association of pro-melanin concentrating hormone genotype with beef carcass quality and yield1. Journal of Animal Science. 92(1). 325–331. 6 indexed citations
13.
Lawrence, T.E., David A. King, T. H. Montgomery, & Michael E. Dikeman. (2010). Relationships among beef carcass \nquality and cutability indicators. K-State Research Exchange (Kansas State University). 1 indexed citations
14.
Lawrence, T.E., N. A. Elam, M.F. Miller, et al.. (2010). Predicting red meat yields in carcasses from beef-type and calf-fed Holstein steers using the United States Department of Agriculture calculated yield grade1. Journal of Animal Science. 88(6). 2139–2143. 22 indexed citations
15.
Brooks, J.C., Melvin C. Hunt, G. G. Hilton, et al.. (2009). Effects of zilpaterol hydrochloride feeding duration on beef and calf-fed Holstein strip loin steak color. Journal of Animal Science. 88(3). 1168–1183. 14 indexed citations
16.
Boler, D. D., S.F. Holmer, F. K. McKeith, et al.. (2009). Effects of feeding zilpaterol hydrochloride for twenty to forty days on carcass cutability and subprimal yield of calf-fed Holstein steers. Journal of Animal Science. 87(11). 3722–3729. 23 indexed citations
17.
Nicholson, K.L., T.E. Lawrence, D. S. Hale, et al.. (2008). National Beef Quality Audit–2005: Survey of targeted cattle and carcass characteristics related to quality, quantity, and value of fed steers and heifers1. Journal of Animal Science. 86(12). 3533–3543. 141 indexed citations
18.
Owen, K Q, T.E. Lawrence, Michael D Tokach, et al.. (2002). Effect of L-carnitine and paylean (ractopamine⋅HCl) supplementation on growth performance, carcass characteristics, and postmortem pH decline. Kansas Agricultural Experiment Station Research Reports. 111–115. 1 indexed citations
19.
Owen, K Q, T.E. Lawrence, Michael D Tokach, et al.. (2002). Interactive effects between paylean (ractopamine⋅HCl) and dietary L-carnitine on finishing pig growth performance and carcass characteristics. Kansas Agricultural Experiment Station Research Reports. 106–110. 2 indexed citations
20.
Lawrence, T.E., et al.. (2001). Utilizing infrared thermography to predict pork quality. Kansas Agricultural Experiment Station Research Reports. 131–134. 5 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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