Shelley Kay
- Physiology top 10%
- Public Health, Environmental and Occupational Health
- Complementary and alternative medicine top 5%
- Cardiology and Cardiovascular Medicine
- Endocrinology, Diabetes and Metabolism
- Co-authors
- M. A. Fiatarone SinghYi WangNalin SinghJacinda MeiklejohnDavid SimarYorgi MavrosMaria A. Fiatarone SinghMike Climstein
- Topics
- Physical Activity and Health (4 papers)Nutrition and Health in Aging (4 papers)Body Composition Measurement Techniques (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaDiabetes CareThe Journals of Gerontology Series A
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Shelley Kay
12 papers receiving 455 citations
Peers
Comparison fields: 5 of 72
- Physiology 294
- Public Health, Environmental and Occupational Health 116
- Complementary and alternative medicine 84
- Cardiology and Cardiovascular Medicine 74
- Endocrinology, Diabetes and Metabolism 74
Countries citing papers authored by Shelley Kay
This map shows the geographic impact of Shelley Kay'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 Shelley Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shelley Kay more than expected).
Fields of papers citing papers by Shelley Kay
This network shows the impact of papers produced by Shelley Kay. 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 Shelley Kay. The network helps show where Shelley Kay may publish in the future.
Co-authorship network of co-authors of Shelley Kay
This figure shows the co-authorship network connecting the top 25 collaborators of Shelley Kay. A scholar is included among the top collaborators of Shelley Kay 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 Shelley Kay. Shelley Kay 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 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 16 | |
| 8 | 14 | |
| 9 | 67 | |
| 10 | 24 | |
| 11 | 94 | |
| 12 | 3 | |
| 13 | 242 | |
| 14 | 9 | |
| 15 | Are daily fitness programmes worth the effort | 1 |
About Shelley Kay
Shelley Kay is a scholar working on Complementary and alternative medicine, Physiology and Orthopedics and Sports Medicine, having authored 15 papers that have together received 483 indexed citations. Recurring topics across this work include Physical Activity and Health (4 papers), Nutrition and Health in Aging (4 papers) and Body Composition Measurement Techniques (4 papers). The work is most often cited by research in Physiology (294 citations), Complementary and alternative medicine (84 citations) and Rehabilitation (43 citations). Shelley Kay has collaborated with scholars based in Australia, United States and China. Frequent co-authors include M. A. Fiatarone Singh, Yi Wang, Nalin Singh, Jacinda Meiklejohn, David Simar, Yorgi Mavros, Maria A. Fiatarone Singh, Mike Climstein, Anthony O’Sullivan and Michael K. Baker. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetes Care and The Journals of Gerontology Series A.
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.