Phillip D. Bass

574 total citations
29 papers, 448 citations indexed

About

Phillip D. Bass is a scholar working on Animal Science and Zoology, Food Science and Nutrition and Dietetics. According to data from OpenAlex, Phillip D. Bass has authored 29 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Animal Science and Zoology, 11 papers in Food Science and 4 papers in Nutrition and Dietetics. Recurrent topics in Phillip D. Bass's work include Meat and Animal Product Quality (24 papers), Animal Nutrition and Physiology (12 papers) and Sensory Analysis and Statistical Methods (5 papers). Phillip D. Bass is often cited by papers focused on Meat and Animal Product Quality (24 papers), Animal Nutrition and Physiology (12 papers) and Sensory Analysis and Statistical Methods (5 papers). Phillip D. Bass collaborates with scholars based in United States, Spain and Vietnam. Phillip D. Bass's co-authors include Ted Judd, Robert M. Williams, K. E. Belk, T. E. Engle, P. L. Chapman, Gary C. Smith, Michael J. Colle, H. N. Zerby, A. E. Radunz and S. J. Moeller and has published in prestigious journals such as Chemical Reviews, SHILAP Revista de lepidopterología and Journal of Animal Science.

In The Last Decade

Phillip D. Bass

27 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phillip D. Bass United States 11 247 107 80 79 44 29 448
Astrid M. Drotleff Germany 11 123 0.5× 62 0.6× 79 1.0× 161 2.0× 8 0.2× 15 386
Anthimia Batrinou Greece 12 50 0.2× 41 0.4× 57 0.7× 154 1.9× 20 0.5× 37 331
Zhi Yang China 13 196 0.8× 62 0.6× 101 1.3× 14 0.2× 21 0.5× 36 410
N. Hedges United Kingdom 8 137 0.6× 34 0.3× 86 1.1× 97 1.2× 7 0.2× 9 323
Nantawat Tatiyaborworntham United States 13 333 1.3× 32 0.3× 135 1.7× 71 0.9× 5 0.1× 19 459
Silvia Mallia Switzerland 8 212 0.9× 42 0.4× 96 1.2× 290 3.7× 16 0.4× 11 455
Young Sik Bae South Korea 12 318 1.3× 20 0.2× 78 1.0× 129 1.6× 15 0.3× 14 448
S. Spagna Musso Italy 10 179 0.7× 56 0.5× 180 2.3× 136 1.7× 6 0.1× 17 379
E.D. Bastian United States 13 146 0.6× 16 0.1× 143 1.8× 341 4.3× 14 0.3× 14 486
Ahmet Şahi̇n Türkiye 13 48 0.2× 7 0.1× 88 1.1× 40 0.5× 40 0.9× 62 382

Countries citing papers authored by Phillip D. Bass

Since Specialization
Citations

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

Fields of papers citing papers by Phillip D. Bass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip D. Bass. 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 Phillip D. Bass. The network helps show where Phillip D. Bass may publish in the future.

Co-authorship network of co-authors of Phillip D. Bass

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip D. Bass. A scholar is included among the top collaborators of Phillip D. Bass 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 Phillip D. Bass. Phillip D. Bass 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.
Murdoch, Brenda M., Kimberly M Davenport, Shuang Xie, et al.. (2023). Advanced Skeletal Ossification Is Associated with Genetic Variants in Chronologically Young Beef Heifers. Genes. 14(8). 1629–1629. 1 indexed citations
2.
Bass, Phillip D., et al.. (2023). Water binders in beef patties increase yield and extend shelf life. Translational Animal Science. 7(1). txad091–txad091. 3 indexed citations
3.
Price, William J., et al.. (2023). Evaluation of growth, meat quality, and sensory characteristics of wool, hair, and composite lambs. Journal of Animal Science. 101. 2 indexed citations
4.
Colle, Michael J., et al.. (2023). Muscle Profiling of the Biceps Femoris, Gluteus Accessorius, and Gluteus Medius Comprising the Beef Top Sirloin Butt. SHILAP Revista de lepidopterología. 7(1).
5.
6.
Insausti, K., et al.. (2022). Assessment of dry-aged beef from commercial aging locations across the United States. International Journal of Gastronomy and Food Science. 27. 100466–100466. 9 indexed citations
7.
Bass, Phillip D., et al.. (2022). Artificial intelligence-driven automation is how we achieve the next level of efficiency in meat processing. Animal Frontiers. 12(2). 56–63. 16 indexed citations
8.
López-Maestresalas, Ainara, María Teresa Murillo-Arbizu, M.J. Beriain, et al.. (2022). Classification of Beef longissimus thoracis Muscle Tenderness Using Hyperspectral Imaging and Chemometrics. Foods. 11(19). 3105–3105. 12 indexed citations
9.
Insausti, K., María Teresa Murillo-Arbizu, O. Urrutia, et al.. (2021). Volatile Compounds, Odour and Flavour Attributes of Lamb Meat from the Navarra Breed as Affected by Ageing. Foods. 10(3). 493–493. 33 indexed citations
10.
Bass, Phillip D.. (2021). From trucks to tips—examples of peripheral ways by which the meat industry impacts the U.S. workforce and economy. Animal Frontiers. 11(2). 35–40. 1 indexed citations
11.
Murdoch, Gordon K., et al.. (2021). Beef Carcass Size and Aging Time Effects on Yield and Color Characteristics of Top Round Steaks. SHILAP Revista de lepidopterología. 6(1).
12.
Murdoch, Gordon K., et al.. (2020). Impact of beef carcass size on chilling rate, pH decline, display color, and tenderness of top round subprimals. Translational Animal Science. 4(4). txaa199–txaa199. 5 indexed citations
13.
Mitchell, Thomas K., et al.. (2020). A Survey of Microbial Communities on Dry-Aged Beef in Commercial Meat Processing Facilities. SHILAP Revista de lepidopterología. 4(1). 24 indexed citations
14.
Woerner, Dale R., et al.. (2018). Distribution of Marbling Throughout the M. Longissimus Thoracis et Lumborum of Beef Carcasses Using an Instrument-Grading System. SHILAP Revista de lepidopterología. 2(1). 4 indexed citations
15.
Bass, Phillip D., P. L. Chapman, J.A. Scanga, et al.. (2010). Establishing an appropriate mode of comparison for measuring the performance of marbling score output from video image analysis beef carcass grading systems1,2. Journal of Animal Science. 88(7). 2464–2475. 31 indexed citations
16.
Cannata, S., T. E. Engle, S. J. Moeller, et al.. (2010). Effect of visual marbling on sensory properties and quality traits of pork loin. Meat Science. 85(3). 428–434. 71 indexed citations
17.
Bass, Phillip D., T. E. Engle, K. E. Belk, et al.. (2009). Effects of sex and short-term magnesium supplementation on stress responses and longissimus muscle quality characteristics of crossbred cattle1. Journal of Animal Science. 88(1). 349–360. 15 indexed citations
18.
Bass, Phillip D., J.A. Scanga, P. L. Chapman, Gary C. Smith, & K. E. Belk. (2009). Associations between portion size acceptability of beef cuts and ribeye area of beef carcasses1. Journal of Animal Science. 87(9). 2935–2942. 10 indexed citations
19.
Bass, Phillip D., J.A. Scanga, P. L. Chapman, et al.. (2008). Recovering value from beef carcasses classified as dark cutters by United States Department of Agriculture graders1. Journal of Animal Science. 86(7). 1658–1668. 20 indexed citations
20.
Bass, Phillip D., D.M. Hooge, & Elizabeth A. Koutsos. (2006). Dietary thyroxine induces molt in chickens (Gallus gallus domesticus). Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 146(3). 335–341. 9 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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