M. N. Sillence
- Animal Science and Zoology top 5%
- Physiology
- Molecular Biology
- Genetics
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Terry D. EthertonR. G. RodwayCarlo GazzolaD. B. LindsayG. G. PeggDavid R. HarrisLeigh C. WardM. Cox
- Topics
- Pharmacological Effects and Assays (15 papers)Adipose Tissue and Metabolism (7 papers)Stress Responses and Cortisol (4 papers)
- Journals
- American Journal of Physiology-Endocrinology and MetabolismJournal of Animal ScienceJournal of Endocrinology
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
M. N. Sillence
23 papers receiving 308 citations
Peers
Comparison fields: 5 of 61
- Animal Science and Zoology 190
- Physiology 92
- Molecular Biology 75
- Genetics 60
- Endocrinology, Diabetes and Metabolism 57
Countries citing papers authored by M. N. Sillence
This map shows the geographic impact of M. N. Sillence'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 M. N. Sillence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. N. Sillence more than expected).
Fields of papers citing papers by M. N. Sillence
This network shows the impact of papers produced by M. N. Sillence. 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 M. N. Sillence. The network helps show where M. N. Sillence may publish in the future.
Co-authorship network of co-authors of M. N. Sillence
This figure shows the co-authorship network connecting the top 25 collaborators of M. N. Sillence. A scholar is included among the top collaborators of M. N. Sillence 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 M. N. Sillence. M. N. Sillence is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 108 | |
| 4 | 16 | |
| 5 | 11 | |
| 6 | 9 | |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 11 | |
| 10 | 11 | |
| 11 | 14 | |
| 12 | 14 | |
| 13 | 7 | |
| 14 | 11 | |
| 15 | Effects of clenbuterol and beta-receptor antagonists on growth in rats. | 1 |
| 16 | Synergistic effect of porcine growth hormone and an adrenal enzyme inhibitor on weight gain in rats. | 1 |
| 17 | 6 | |
| 18 | 6 | |
| 19 | 13 | |
| 20 | 11 |
About M. N. Sillence
M. N. Sillence is a scholar working on Animal Science and Zoology, Behavioral Neuroscience and Small Animals, having authored 24 papers that have together received 331 indexed citations. Recurring topics across this work include Pharmacological Effects and Assays (15 papers), Adipose Tissue and Metabolism (7 papers) and Stress Responses and Cortisol (4 papers). The work is most often cited by research in Animal Science and Zoology (190 citations), Small Animals (53 citations) and Agronomy and Crop Science (46 citations). M. N. Sillence has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Terry D. Etherton, R. G. Rodway, Carlo Gazzola, D. B. Lindsay, G. G. Pegg, David R. Harris, Leigh C. Ward, M. Cox, Brian Thomas and Frank R. Dunshea. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Journal of Animal Science and Journal of Endocrinology.
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.