R.M. Kay

493 citations
28 papers · 411 · h-index 11

Impact in

Papers in

R.M. Kay

26 papers receiving 349 citations

Peers

R.M. Kay
Comparison fields: 5 of 57
  • Process Chemistry and Technology 99
  • Animal Science and Zoology 173
  • Agronomy and Crop Science 168
  • Small Animals 85
  • Genetics 128
Replace K. B. Kephart with:
K. B. Kephart United States
A. R. Keen Hungary
V.A. Ishler United States
H. Perez-Monti United States
H. Weeks United States
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H. M. Omed United Kingdom
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R.M. Kay relative to K. B. Kephart United States K. B. Kephart's profile →
Citations per field
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Citations per year

Countries citing papers authored by R.M. Kay

Since Specialization
Citations

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

Fields of papers citing papers by R.M. Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979114
2 199683
3 200845
4 197920
5 197615
6 198314
7 199212
8 197711
9 199511
10 200711
11 199710
12
Ammonia losses from contrasting cattle and pig manure management systems
200210
13 19887
14 19996
15 20036
16 20005
17 19965
18 19794
19 19954
20 19964

About R.M. Kay

R.M. Kay is a scholar working on Small Animals, Animal Science and Zoology, Agronomy and Crop Science, Process Chemistry and Technology and Genetics, having authored 28 papers that have together received 411 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (11 papers), Animal Behavior and Welfare Studies (10 papers), Odor and Emission Control Technologies (6 papers), Genetic and phenotypic traits in livestock (5 papers), Ruminant Nutrition and Digestive Physiology (4 papers), Reproductive Physiology in Livestock (3 papers), Meat and Animal Product Quality (2 papers) and Animal health and immunology (2 papers). The work is most often cited by research in Process Chemistry and Technology (99 citations), Animal Science and Zoology (173 citations), Agronomy and Crop Science (168 citations), Small Animals (85 citations) and Genetics (128 citations). R.M. Kay has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include W. Little, B. F. Pain, P. J. Hobbs, T. H. Misselbrook, David R. Chadwick, V. Camp, J. S. Sands, S. L. Gilhespy, John A. Webb and Barbara Kitchenham. Their work appears in journals such as Animal Science, Journal of the Science of Food and Agriculture, The Journal of Agricultural Science, Livestock Science and Journal of Animal Breeding and 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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