N. McC. Graham
- Agronomy and Crop Science top 0.5%
- Animal Science and Zoology top 0.5%
- Genetics top 5%
- Ecology top 5%
- Physiology
- Co-authors
- K. L. BlaxterF. W. WainmanTW SearleDavid G. ArmstrongDavid ArmstrongGJ FaichneyJ. L. BlackMaureen O’Callaghan
- Topics
- Genetic and phenotypic traits in livestock (18 papers)Effects of Environmental Stressors on Livestock (17 papers)Ruminant Nutrition and Digestive Physiology (13 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
N. McC. Graham
41 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Agronomy and Crop Science 946
- Animal Science and Zoology 764
- Genetics 662
- Ecology 289
- Physiology 162
Countries citing papers authored by N. McC. Graham
This map shows the geographic impact of N. McC. Graham'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 N. McC. Graham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. McC. Graham more than expected).
Fields of papers citing papers by N. McC. Graham
This network shows the impact of papers produced by N. McC. Graham. 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 N. McC. Graham. The network helps show where N. McC. Graham may publish in the future.
Co-authorship network of co-authors of N. McC. Graham
This figure shows the co-authorship network connecting the top 25 collaborators of N. McC. Graham. A scholar is included among the top collaborators of N. McC. Graham based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with N. McC. Graham. N. McC. Graham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The relationship between live weight, body composition and endocrine function in Border Leicester X Merino wethers. | 0 |
| 2 | The Texas A&M Sheep and Goat Simulation Models | 18 |
| 3 | Feeding standards : an outmoded concept in ruminant nutrition. | 2 |
| 4 | 22 | |
| 5 | 52 | |
| 6 | The short-term response in nitrogen balance of sheep fed a lupin supplement. | 3 |
| 7 | 31 | |
| 8 | 48 | |
| 9 | 16 | |
| 10 | 61 | |
| 11 | 34 | |
| 12 | The metabolic rate of Merino rams bred for high or low wool production. | 5 |
| 13 | 13 | |
| 14 | 30 | |
| 15 | 71 | |
| 16 | 136 | |
| 17 | 70 | |
| 18 | 67 | |
| 19 | 11 | |
| 20 | 28 |
About N. McC. Graham
N. McC. Graham is a scholar working on Animal Science and Zoology, Agronomy and Crop Science and Genetics, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (18 papers), Effects of Environmental Stressors on Livestock (17 papers) and Ruminant Nutrition and Digestive Physiology (13 papers). The work is most often cited by research in Agronomy and Crop Science (946 citations), Animal Science and Zoology (764 citations) and Genetics (662 citations). N. McC. Graham has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include K. L. Blaxter, F. W. Wainman, TW Searle, David G. Armstrong, David Armstrong, GJ Faichney, J. L. Black, Maureen O’Callaghan, JB Donnelly and GW Arnold. Their work appears in journals such as Nature, Journal of Dairy Science 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.