F. L. Williams

894 total citations
30 papers, 686 citations indexed

About

F. L. Williams is a scholar working on Animal Science and Zoology, Genetics and Agronomy and Crop Science. According to data from OpenAlex, F. L. Williams has authored 30 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Animal Science and Zoology, 19 papers in Genetics and 7 papers in Agronomy and Crop Science. Recurrent topics in F. L. Williams's work include Meat and Animal Product Quality (20 papers), Genetic and phenotypic traits in livestock (19 papers) and Effects of Environmental Stressors on Livestock (8 papers). F. L. Williams is often cited by papers focused on Meat and Animal Product Quality (20 papers), Genetic and phenotypic traits in livestock (19 papers) and Effects of Environmental Stressors on Livestock (8 papers). F. L. Williams collaborates with scholars based in United States and South Korea. F. L. Williams's co-authors include J. D. Tatum, R. A. Bowling, Richard L. Atkinson, Donald L. Kaiser, Charles R. Drake, H. G. Dolezal, K. E. Belk, J.W. Savell, J W Wise and H. R. Cross and has published in prestigious journals such as Soil Science Society of America Journal, Clinical Pharmacology & Therapeutics and Journal of Animal Science.

In The Last Decade

F. L. Williams

29 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. L. Williams United States 15 377 294 194 63 62 30 686
J.A. Vizcarra United States 16 262 0.7× 392 1.3× 560 2.9× 21 0.3× 64 1.0× 34 995
J. Wauthy Canada 17 126 0.3× 299 1.0× 317 1.6× 24 0.4× 38 0.6× 58 682
David G. Topel United States 17 620 1.6× 191 0.6× 201 1.0× 114 1.8× 125 2.0× 61 977
W. H. McElhenney United States 15 260 0.7× 121 0.4× 150 0.8× 49 0.8× 155 2.5× 42 647
M. Kapš Austria 12 165 0.4× 250 0.9× 195 1.0× 44 0.7× 39 0.6× 39 557
Ronald P. Brockman Canada 16 205 0.5× 235 0.8× 447 2.3× 17 0.3× 146 2.4× 42 999
Barbara Kamińska Poland 18 104 0.3× 200 0.7× 191 1.0× 12 0.2× 47 0.8× 75 861
Orhan Yılmaz Türkiye 13 101 0.3× 161 0.5× 94 0.5× 35 0.6× 38 0.6× 79 770
P. J. Wangsness United States 23 345 0.9× 297 1.0× 523 2.7× 22 0.3× 153 2.5× 50 1.2k
F. Rosi Italy 11 181 0.5× 81 0.3× 147 0.8× 48 0.8× 95 1.5× 38 533

Countries citing papers authored by F. L. Williams

Since Specialization
Citations

This map shows the geographic impact of F. L. Williams'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 F. L. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. L. Williams more than expected).

Fields of papers citing papers by F. L. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. L. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of F. L. Williams. A scholar is included among the top collaborators of F. L. Williams 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 F. L. Williams. F. L. Williams 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.
Garmyn, A. J., R. J. Rathmann, Stephen P. Jackson, et al.. (2011). Estimation of live quality grade in multiple biological types of beef slaughter steers and the relationship to carcass quality. The Professional Animal Scientist. 27(4). 328–335.
2.
Tatum, J. D., et al.. (2002). An evaluation of the USDA standards for feeder cattle frame size and muscle thickness. Journal of Animal Science. 80(3). 560–567. 14 indexed citations
3.
May, S. G., W. L. Mies, John W. Edwards, et al.. (2000). Using live estimates and ultrasound measurements to predict beef carcass cutability.. Journal of Animal Science. 78(5). 1255–1255. 50 indexed citations
4.
Williams, Stephen E., J. D. Tatum, G. G. Hilton, et al.. (1998). Prediction of slaughter cow composition using live animal and carcass traits.. Journal of Animal Science. 76(6). 1594–1594. 12 indexed citations
5.
Tatum, J. D., et al.. (1998). Relationship of feeder lamb frame size to feedlot gain and carcass yield and quality grades.. Journal of Animal Science. 76(2). 435–435. 13 indexed citations
6.
Tatum, J. D., et al.. (1998). Relationship of visual assessments of feeder lamb muscularity to differences in carcass yield traits.. Journal of Animal Science. 76(3). 774–774. 3 indexed citations
7.
Hilton, G. G., J. D. Tatum, Scott Williams, et al.. (1998). An evaluation of current and alternative systems for quality grading carcasses of mature slaughter cows.. Journal of Animal Science. 76(8). 2094–2094. 44 indexed citations
8.
Hammer, Richard, et al.. (1997). Estimation of Map Unit Composition from Transect Data. Soil Science Society of America Journal. 61(3). 854–861. 17 indexed citations
9.
Dolezal, H. G., J. D. Tatum, & F. L. Williams. (1993). Effects of feeder cattle frame size, muscle thickness, and age class on days fed, weight, and carcass composition.. Journal of Animal Science. 71(11). 2975–2975. 42 indexed citations
10.
May, S. G., W. L. Mies, John W. Edwards, et al.. (1992). Effect of frame size, muscle score, and external fatness on live and carcass value of beef cattle. Journal of Animal Science. 70(11). 3311–3316. 12 indexed citations
11.
May, S. G., W. L. Mies, John W. Edwards, et al.. (1992). Beef carcass composition of slaughter cattle differing in frame size, muscle score, and external fatness. Journal of Animal Science. 70(8). 2431–2445. 23 indexed citations
12.
Belk, K. E., et al.. (1992). Development of a quantitative quality grading system for mature cow carcasses. Journal of Animal Science. 70(6). 1840–1847. 26 indexed citations
13.
Belk, K. E., et al.. (1992). Development of a multivariate yield grade equation to predict compositional traits in mature cow carcasses2. Journal of Animal Science. 70(7). 2159–2166. 6 indexed citations
14.
Belk, K. E., J. D. Tatum, & F. L. Williams. (1991). Deposition and distribution of carcass fat for steers differing in frame size and muscle thickness.. Journal of Animal Science. 69(2). 609–609. 12 indexed citations
15.
Lipsey, R.J., et al.. (1990). Comparison of market hog characteristics of pigs selected by feeder pig frame size or current USDA feeder pig grade standards.. Journal of Animal Science. 68(8). 2217–2217. 1 indexed citations
16.
Field, R. A., Giuseppe Maiorano, R. J. McCormick, et al.. (1990). Effect of plane of nutrition and age on carcass maturity of sheep.. Journal of Animal Science. 68(6). 1616–1616. 26 indexed citations
17.
Field, R. A., Low Tone Ho, W. C. Russell, et al.. (1989). Influence of Age and Testosterone Levels on Masculine Development in Rams. Journal of Animal Science. 67(11). 2943–2949. 7 indexed citations
18.
Lipsey, R.J., et al.. (1989). Predictive Equations for Estimating Lean Cuts, Fat Standardized Lean, Chemical Composition, Bone and Value of Pork Carcasses. Journal of Animal Science. 67(8). 2033–2033. 13 indexed citations
19.
Tatum, J. D., et al.. (1988). Influence of Diet on Growth Rate and Carcass Composition of Steers Differing in Frame Size and Muscle Thickness. Journal of Animal Science. 66(8). 1942–1942. 31 indexed citations
20.
Lipsey, R.J., et al.. (1987). Relationship between Feeder Pig Frame Size and Market Hog Characteristics. Journal of Animal Science. 65(5). 1167–1172. 1 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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