Emma M. Allister
- Molecular Biology top 10%
- Surgery top 5%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Epidemiology top 10%
- Co-authors
- Michael B. WheelerMurray W. HuffJane Y. EdwardsHongfang LuVasilij KoshkinErin E. MulvihillCynthia G. SawyezDawn E. Telford
- Topics
- Pancreatic function and diabetes (13 papers)Adipose Tissue and Metabolism (9 papers)Cholesterol and Lipid Metabolism (6 papers)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Emma M. Allister
24 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 849
- Surgery 755
- Physiology 492
- Endocrinology, Diabetes and Metabolism 455
- Epidemiology 302
Countries citing papers authored by Emma M. Allister
This map shows the geographic impact of Emma M. Allister'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 Emma M. Allister with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma M. Allister more than expected).
Fields of papers citing papers by Emma M. Allister
This network shows the impact of papers produced by Emma M. Allister. 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 Emma M. Allister. The network helps show where Emma M. Allister may publish in the future.
Co-authorship network of co-authors of Emma M. Allister
This figure shows the co-authorship network connecting the top 25 collaborators of Emma M. Allister. A scholar is included among the top collaborators of Emma M. Allister 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 Emma M. Allister. Emma M. Allister is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 132 | |
| 2 | 27 | |
| 3 | 59 | |
| 4 | 102 | |
| 5 | 59 | |
| 6 | 66 | |
| 7 | 1 | |
| 8 | 122 | |
| 9 | 106 | |
| 10 | 82 | |
| 11 | 250 | |
| 12 | Naringenin prevents dyslipidemia, apoB overproduction and hyperinsulinemia in LDL-receptor null mice with diet-induced insulin resistance. Running title: Naringenin prevents dyslipidemia | 1 |
| 13 | 147 | |
| 14 | 43 | |
| 15 | 160 | |
| 16 | 7 | |
| 17 | 8 | |
| 18 | 99 | |
| 19 | 3 | |
| 20 | 0 |
About Emma M. Allister
Emma M. Allister is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cell Biology, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (13 papers), Adipose Tissue and Metabolism (9 papers) and Cholesterol and Lipid Metabolism (6 papers). The work is most often cited by research in Biochemistry (208 citations), Endocrinology, Diabetes and Metabolism (455 citations) and Physiology (492 citations). Emma M. Allister has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Michael B. Wheeler, Murray W. Huff, Jane Y. Edwards, Hongfang Lu, Vasilij Koshkin, Erin E. Mulvihill, Cynthia G. Sawyez, Dawn E. Telford, Brian G. Sutherland and Kacey J. Prentice. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.
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.