D.R. McKenna

1.4k citations
32 papers · 1.1k · h-index 14

Impact in

Papers in

D.R. McKenna

29 papers receiving 1.0k citations

Peers

D.R. McKenna
Comparison fields: 5 of 87
  • Animal Science and Zoology 978
  • Small Animals 111
  • Food Science 270
  • Insect Science 97
  • Agronomy and Crop Science 77
Replace Christian Touraille with:
Christian Touraille Morocco
B.E. Baird United States
Oreste Franci Italy
R. J. Maddock United States
B.C. Kim South Korea
Jeehwan Choe South Korea
Ken Prusa United States
L.L. Gibson Canada
G. Rentfrow United States
Pil‐Nam Seong South Korea
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Citations per field
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Citations per year

Countries citing papers authored by D.R. McKenna

Since Specialization
Citations

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

Fields of papers citing papers by D.R. McKenna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D.R. McKenna, 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.R. McKenna Line = papers co-authored together D.R. McKenna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005315
2 2003259
3 2002112
4 200552
5 200547
6 200537
7 201433
8 200428
9 200328
10 200324
11 200123
12 200318
13 200317
14
Alternative methods for infrared analysis of fat in milk: interlaboratory study.
198914
15 202113
16 200311
17 200611
18 200511
19 20036
20 20136

About D.R. McKenna

D.R. McKenna is a scholar working on Animal Science and Zoology, Small Animals, Food Science, Analytical Chemistry and Molecular Biology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (26 papers), Animal Nutrition and Physiology (10 papers), Pharmacological Effects and Assays (7 papers), Animal Behavior and Welfare Studies (7 papers), Sensory Analysis and Statistical Methods (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Muscle metabolism and nutrition (2 papers) and Pesticide Residue Analysis and Safety (2 papers). The work is most often cited by research in Animal Science and Zoology (978 citations), Small Animals (111 citations), Food Science (270 citations), Insect Science (97 citations) and Agronomy and Crop Science (77 citations). D.R. McKenna has collaborated with scholars based in United States and Canada. Frequent co-authors include J.W. Savell, J.C. Brooks, B.E. Baird, Kirsten Pfeiffer, K. E. Belk, D. B. Griffin, Gary C. Smith, David A. King, J.A. Scanga and D. S. Hale. Their work appears in journals such as Meat Science, Journal of Animal Science, Journal of Muscle Foods, Journal of Food Science and European Journal of Operational Research.

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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