Dan C. Rule

453 citations
15 papers · 370 · h-index 9

Impact in

    • Ruminant Nutrition and Digestive Physiology
    • Reproductive Physiology in Livestock
    • Animal Nutrition and Physiology
    • Meat and Animal Product Quality
    • Effects of Environmental Stressors on Livestock

Papers in

Dan C. Rule

15 papers receiving 350 citations

Peers

Dan C. Rule
Comparison fields: 5 of 54
  • Agronomy and Crop Science 247
  • Animal Science and Zoology 116
  • Nutrition and Dietetics 65
  • Small Animals 28
  • Genetics 96
Replace G. A. Apgar with:
G. A. Apgar United States
D.S. Lough United States
Dominique Bauchart France
Christian Van Nevel Belgium
A. F. Death New Zealand
Radka Zahrádková Czechia
S. Lemosquet France
Rafael Alejandro Palladino Argentina
A.P. Moloney Ireland
Manfred Hollmann Austria
Dan C. Rule relative to G. A. Apgar United States G. A. Apgar's profile →
Citations per field
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G. A. Apgar · 1×
Citations per year

Countries citing papers authored by Dan C. Rule

Since Specialization
Citations

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

Fields of papers citing papers by Dan C. Rule

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan C. Rule. 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 Dan C. Rule. The network helps show where Dan C. Rule may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2007193
2 200433
3 200631
4 200824
5 201317
6 200613
7 200712
8 199311
9 20049
10 19897
11
Body condition score and day of lactation affect lipogenic mRNA abundance and transcription factors in adipose tissue of beef cows fed supplemental fat
20075
12 19865
13 20225
14 20223
15 20102

About Dan C. Rule

Dan C. Rule is a scholar working on Agronomy and Crop Science, Nutrition and Dietetics, Animal Science and Zoology, Small Animals and Genetics, having authored 15 papers that have together received 370 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (7 papers), Reproductive Physiology in Livestock (4 papers), Fatty Acid Research and Health (4 papers), Genetic and phenotypic traits in livestock (3 papers), Meat and Animal Product Quality (2 papers), Animal health and immunology (2 papers), Lipid metabolism and biosynthesis (1 paper) and Research in Cotton Cultivation (1 paper). The work is most often cited by research in Agronomy and Crop Science (247 citations), Animal Science and Zoology (116 citations), Nutrition and Dietetics (65 citations), Small Animals (28 citations) and Genetics (96 citations). Dan C. Rule has collaborated with scholars based in United States and Türkiye. Frequent co-authors include B. W. Hess, Gary E. Moss, E. J. Scholljegerdes, T. R. Weston, S. L. Lake, D. L. Hixon, Justin D. Derner, R. L. Preston, O. Küçük and Elizabeth Belden. Their work appears in journals such as Journal of Animal Science, Animal Feed Science and Technology, Journal of Fish Biology, Journal of Food Science and Research in Veterinary Science.

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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