D. A. King

3.6k citations
78 papers · 2.5k indexed · 2 hit papers · h-index 26

Impact in

    • Meat and Animal Product Quality
    • Animal Nutrition and Physiology
    • Effects of Environmental Stressors on Livestock
    • Animal Behavior and Welfare Studies

Papers in

D. A. King

72 papers receiving 2.4k citations

Hit Papers

American Meat Science Association Guidelines for Meat Color Measurement 2022 · 136 citations
1362015202620182022100200300400

Peers

D. A. King
Comparison fields: 5 of 118
  • Animal Science and Zoology 1.8k
  • Small Animals 279
  • Food Science 444
  • Agronomy and Crop Science 239
  • Genetics 535
Replace Seon-Tea Joo with:
Seon-Tea Joo South Korea
Young-Hwa Hwang South Korea
R. Marino Italy
Katja Rosenvold New Zealand
A.F.B. van der Poel Netherlands
M.T. Dı́az Spain
Heather L. Bruce Canada
WR Shorthose Australia
L.E. Jeremiah Canada
Thierry Astruc France
D. A. King relative to Seon-Tea Joo South Korea Seon-Tea Joo's profile →
Citations per field
00.5×1.6×
Seon-Tea Joo · 1×
Citations per year

Countries citing papers authored by D. A. King

Since Specialization
Citations

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

Fields of papers citing papers by D. A. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside D. A. King, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. A. King Line = papers co-authored together D. A. King links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20238
3 20226
4 20226
5 201971
6 20171
7 201726
8 201492
9 20117
10 201035
11 201057
12 200928
13 200912
14 200837
15 200822
16 200611
17 200524
18 200542
19 200524
20 200478

About D. A. King

D. A. King is a scholar working on Animal Science and Zoology, Small Animals, Food Science, Genetics and Analytical Chemistry, having authored 78 papers that have together received 2.5k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (58 papers), Animal Nutrition and Physiology (36 papers), Genetic and phenotypic traits in livestock (16 papers), Animal Behavior and Welfare Studies (15 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Pharmacological Effects and Assays (9 papers), Sensory Analysis and Statistical Methods (7 papers) and Calpain Protease Function and Regulation (5 papers). The work is most often cited by research in Animal Science and Zoology (1.8k citations), Small Animals (279 citations), Food Science (444 citations), Agronomy and Crop Science (239 citations) and Genetics (535 citations). D. A. King has collaborated with scholars based in United States, Canada and Ireland. Frequent co-authors include T. L. Wheeler, Todd K. Shackelford, Anthony Tansey, Michael E. Dikeman, J.W. Savell, K. E. Belk, M. Koohmaraie, Mark F. Miller, Bridget Wasser and Dustin T Yates. Their work appears in journals such as Journal of Animal Science, Meat Science, Scientific Reports, Journal of Materials Processing Technology and Animal Genetics.

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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