Jeannie Tay
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Public Health, Environmental and Occupational Health top 5%
- Molecular Biology
- Cell Biology
- Co-authors
- Grant D. BrinkworthManny NoakesCampbell ThompsonGary WittertJonathan D. BuckleyNatalie D. Luscombe‐MarshWilliam S. YancyJennifer Keogh
- Topics
- Diet and metabolism studies (11 papers)Diet, Metabolism, and Disease (9 papers)Metabolism, Diabetes, and Cancer (6 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismPhysiologyPublic Health, Environmental and Occupational Health
- Journals
- Journal of the American College of CardiologyAmerican Journal of Clinical NutritionDiabetes Care
- Partner nations
- SingaporeUnited StatesAustralia
In The Last Decade
Jeannie Tay
17 papers receiving 867 citations
Peers
Comparison fields: 5 of 74
- Physiology 689
- Endocrinology, Diabetes and Metabolism 501
- Public Health, Environmental and Occupational Health 325
- Molecular Biology 117
- Cell Biology 107
Countries citing papers authored by Jeannie Tay
This map shows the geographic impact of Jeannie Tay'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 Jeannie Tay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeannie Tay more than expected).
Fields of papers citing papers by Jeannie Tay
This network shows the impact of papers produced by Jeannie Tay. 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 Jeannie Tay. The network helps show where Jeannie Tay may publish in the future.
Co-authorship network of co-authors of Jeannie Tay
This figure shows the co-authorship network connecting the top 25 collaborators of Jeannie Tay. A scholar is included among the top collaborators of Jeannie Tay 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 Jeannie Tay. Jeannie Tay 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 | 4 | |
| 4 | 10 | |
| 5 | 27 | |
| 6 | 9 | |
| 7 | 25 | |
| 8 | 158 | |
| 9 | 14 | |
| 10 | 35 | |
| 11 | 244 | |
| 12 | 47 | |
| 13 | A Very Low-Carbohydrate, Low- Saturated Fat Diet for Type 2 Diabetes Management: A Randomized Trial. Diabetes Care 2014;37:2909-2918 | 9 |
| 14 | 145 | |
| 15 | 2 | |
| 16 | 101 | |
| 17 | Plasma lipids and lipoprotein(a) levels in the Chinese from China and Singapore. | 5 |
| 18 | 31 |
About Jeannie Tay
Jeannie Tay is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Cell Biology, having authored 18 papers that have together received 887 indexed citations. Recurring topics across this work include Diet and metabolism studies (11 papers), Diet, Metabolism, and Disease (9 papers) and Metabolism, Diabetes, and Cancer (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (501 citations), Physiology (689 citations) and Public Health, Environmental and Occupational Health (325 citations). Jeannie Tay has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Grant D. Brinkworth, Manny Noakes, Campbell Thompson, Gary Wittert, Jonathan D. Buckley, Natalie D. Luscombe‐Marsh, William S. Yancy, Jennifer Keogh, Peter Clifton and Thomas P. Wycherley. Their work appears in journals such as Journal of the American College of Cardiology, American Journal of Clinical Nutrition and Diabetes Care.
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.