Wern Ee Tang
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology top 10%
- Epidemiology
- Nephrology top 5%
- Co-authors
- Chee Fang SumTavintharan SubramaniamSu Chi LimKeven AngSerena LowJianjun LiuLee Ying YeohXiao Wei Ng
- Topics
- Cardiovascular Health and Disease Prevention (18 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers)Blood Pressure and Hypertension Studies (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismDiabetes Care
- Partner nations
- SingaporeAustraliaUnited Kingdom
In The Last Decade
Wern Ee Tang
82 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 109
- Endocrinology, Diabetes and Metabolism 385
- Cardiology and Cardiovascular Medicine 269
- Physiology 219
- Epidemiology 202
- Nephrology 164
Countries citing papers authored by Wern Ee Tang
This map shows the geographic impact of Wern Ee Tang'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 Wern Ee Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wern Ee Tang more than expected).
Fields of papers citing papers by Wern Ee Tang
This network shows the impact of papers produced by Wern Ee Tang. 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 Wern Ee Tang. The network helps show where Wern Ee Tang may publish in the future.
Co-authorship network of co-authors of Wern Ee Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Wern Ee Tang. A scholar is included among the top collaborators of Wern Ee Tang 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 Wern Ee Tang. Wern Ee Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | 21 | |
| 13 | 7 | |
| 14 | 14 | |
| 15 | 27 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 48 | |
| 19 | 2 | |
| 20 | 7 |
About Wern Ee Tang
Wern Ee Tang is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers) and Blood Pressure and Hypertension Studies (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (385 citations), Nephrology (164 citations) and Geriatrics and Gerontology (47 citations). Wern Ee Tang has collaborated with scholars based in Singapore, Australia and United Kingdom. Frequent co-authors include Chee Fang Sum, Tavintharan Subramaniam, Su Chi Lim, Keven Ang, Serena Low, Jianjun Liu, Lee Ying Yeoh, Xiao Wei Ng, Sylvia Liu and Angela Moh. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism 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.