Eberta Tan
Impact in
- Family Practice top 5%
- Medication Adherence and Compliance
- Geriatrics and Gerontology top 10%
- Pharmaceutical Practices and Patient Outcomes
Papers in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Diabetes Management and Research 3
- Diabetes Management and Education 2
- Adrenal Hormones and Disorders 2
- Surgery 3
- Adrenal and Paraganglionic Tumors 2
- Pancreatic function and diabetes 1
- Co-authors
- Bernhard O. Boehm (2 shared papers)Elaine Lum (1 shared paper)P.M.A. Sloot (1 shared paper)Josip Car (1 shared paper)Zhilian Huang (1 shared paper)Joan Khoo (8 shared papers)David Foo (1 shared paper)Yu Ko (1 shared paper)
- Journals
- Frontiers in Endocrinology (2 papers)International Journal of Impotence Research (1 paper)JMIR mhealth and uhealth (1 paper)Journal of Diabetes and its Complications (1 paper)Endocrine Practice (1 paper)
- Partner nations
- SingaporeAustraliaNetherlands
In The Last Decade
Eberta Tan
13 papers receiving 240 citations
Peers
Comparison fields: 5 of 62
- Family Practice 52
- Geriatrics and Gerontology 50
- Endocrinology, Diabetes and Metabolism 132
- Applied Psychology 16
- General Health Professions 66
Countries citing papers authored by Eberta Tan
This map shows the geographic impact of Eberta Tan'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 Eberta Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eberta Tan more than expected).
Fields of papers citing papers by Eberta Tan
This network shows the impact of papers produced by Eberta Tan. 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 Eberta Tan. The network helps show where Eberta Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Eberta Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 69 | |
| 2 | 2019 | 63 | |
| 3 | 2019 | 25 | |
| 4 | 2013 | 23 | |
| 5 | 2011 | 17 | |
| 6 | 2013 | 13 | |
| 7 | 2021 | 8 | |
| 8 | 2013 | 7 | |
| 9 | 2012 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2014 | 1 |
About Eberta Tan
Eberta Tan is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Physiology and Infectious Diseases, having authored 13 papers that have together received 246 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diabetes Management and Research (3 papers), Diabetes Management and Education (2 papers), Chronic Disease Management Strategies (2 papers), Adrenal and Paraganglionic Tumors (2 papers), Adrenal Hormones and Disorders (2 papers), Pancreatic function and diabetes (1 paper) and Health Literacy and Information Accessibility (1 paper). The work is most often cited by research in Family Practice (52 citations), Geriatrics and Gerontology (50 citations), Endocrinology, Diabetes and Metabolism (132 citations), Applied Psychology (16 citations) and General Health Professions (66 citations). Eberta Tan has collaborated with scholars based in Singapore, Australia and Netherlands. Frequent co-authors include Bernhard O. Boehm, Elaine Lum, P.M.A. Sloot, Josip Car, Zhilian Huang, Joan Khoo, David Foo, Yu Ko, Daniel C. Malone and Aung Soe Tin. Their work appears in journals such as Frontiers in Endocrinology, International Journal of Impotence Research, JMIR mhealth and uhealth, Journal of Diabetes and its Complications and Endocrine Practice.
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.