Elizabeth J. Simpson
- Cell Biology top 5%
- Physiology top 10%
- Molecular Biology
- Orthopedics and Sports Medicine top 5%
- Rehabilitation top 5%
- Co-authors
- Paul L. GreenhaffLeonidas G. KaragounisPhilip J. AthertonKenneth SmithNicholas PeirceAnna SelbyHenning WackerhageMichael J. Rennie
- Topics
- Muscle metabolism and nutrition (4 papers)Diet and metabolism studies (4 papers)Metabolism and Genetic Disorders (2 papers)
- Journals
- American Journal of Clinical NutritionAmerican Journal of Physiology-Endocrinology and MetabolismClinical Nutrition
- Partner nations
- United KingdomSaudi ArabiaUnited States
In The Last Decade
Elizabeth J. Simpson
4 papers receiving 425 citations
Peers
Comparison fields: 5 of 52
- Cell Biology 339
- Physiology 247
- Molecular Biology 182
- Orthopedics and Sports Medicine 105
- Rehabilitation 76
Countries citing papers authored by Elizabeth J. Simpson
This map shows the geographic impact of Elizabeth J. Simpson'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 Elizabeth J. Simpson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth J. Simpson more than expected).
Fields of papers citing papers by Elizabeth J. Simpson
This network shows the impact of papers produced by Elizabeth J. Simpson. 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 Elizabeth J. Simpson. The network helps show where Elizabeth J. Simpson may publish in the future.
Co-authorship network of co-authors of Elizabeth J. Simpson
This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth J. Simpson. A scholar is included among the top collaborators of Elizabeth J. Simpson 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 Elizabeth J. Simpson. Elizabeth J. Simpson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 21 | |
| 3 | 389 | |
| 4 | 20 | |
| 5 | utilization during subsequent exercise muscle glycogen storage at rest but augments its Ingestion of a high-glycemic index meal increases | 0 |
| 6 | 3 | |
| 7 | 0 |
About Elizabeth J. Simpson
Elizabeth J. Simpson is a scholar working on Clinical Biochemistry, Cell Biology and Physiology, having authored 7 papers that have together received 433 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (4 papers), Diet and metabolism studies (4 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Cell Biology (339 citations), Orthopedics and Sports Medicine (105 citations) and Rehabilitation (76 citations). Elizabeth J. Simpson has collaborated with scholars based in United Kingdom, Saudi Arabia and United States. Frequent co-authors include Paul L. Greenhaff, Leonidas G. Karagounis, Philip J. Atherton, Kenneth Smith, Nicholas Peirce, Anna Selby, Henning Wackerhage, Michael J. Rennie, Robert Layfield and Michelle L Hazell. Their work appears in journals such as American Journal of Clinical Nutrition, American Journal of Physiology-Endocrinology and Metabolism and Clinical 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.