RJ Moir

1.7k citations
42 papers · 1.4k indexed · h-index 23

RJ Moir

42 papers receiving 1.0k citations

Peers

RJ Moir
Comparison fields: 5 of 97
  • Agronomy and Crop Science 1.0k
  • Animal Science and Zoology 291
  • Genetics 452
  • Environmental Chemistry 152
  • Small Animals 96
Replace J. Margaret Eadie with:
J. Margaret Eadie United Kingdom
A. C. I. Warner Australia
P. Thivend France
V. J. Williams Australia
RH Weston Australia
GJ Faichney Australia
DB Purser United States
D. J. Thomson China
D. F. Osbourn China
ID Hume Australia
RJ Moir relative to J. Margaret Eadie United Kingdom J. Margaret Eadie's profile →
Citations per field
00.5×1.5×1.9×
J. Margaret Eadie · 1×
Citations per year

Countries citing papers authored by RJ Moir

Since Specialization
Citations

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

Fields of papers citing papers by RJ Moir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by RJ Moir. 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 RJ Moir. The network helps show where RJ Moir may publish in the future.

Co-authorship network

The 22 scholars most cited alongside RJ Moir, 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 RJ Moir Line = papers co-authored together RJ Moir links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199370
2 19901
3 19831
4 19834
5 198322
6 19805
7 197915
8
The effect of ruminal and duodenal application of different levels of calcium and phosphorus to sheep on semi-purified diets
197414
9
Synthesis of microbial protein in the rumen 1. Influence of the level of nitrogen intake.
19705
10 197043
11
Urinary nitrogen excretion of sheep fed nitrogen free diets.
19701
12 196625
13 196584
14
The influence of higher volatile fatty acids on the intake of ureasupplemented low quality cereal hay by sheep.
196327
15 196255
16 196142
17 196116
18 195614
19 195653
20 195239

About RJ Moir

RJ Moir is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Forestry, Genetics and Nutrition and Dietetics, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (32 papers), Genetic and phenotypic traits in livestock (9 papers), Reproductive Physiology in Livestock (6 papers), Animal Nutrition and Physiology (4 papers), Effects of Environmental Stressors on Livestock (4 papers), Pasture and Agricultural Systems (2 papers), Trace Elements in Health (2 papers) and Plant and fungal interactions (2 papers). The work is most often cited by research in Agronomy and Crop Science (1.0k citations), Animal Science and Zoology (291 citations), Genetics (452 citations), Environmental Chemistry (152 citations) and Small Animals (96 citations). RJ Moir has collaborated with scholars based in Australia, South Africa and United States. Frequent co-authors include M Somers, DB Purser, JA Hemsley, ID Hume, I. H. Williams, AR Egan, GR Pearce, H. WARING, Lorin E. Harris and PR Bird. Their work appears in journals such as Journal of Animal Science, Nature, Australian Journal of Agricultural and Resource Economics, Australian Veterinary Journal and British Journal Of Nutrition.

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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