Tavintharan Subramaniam
- Molecular Biology top 5%
- Physiology top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Cancer Research top 2%
- Epidemiology top 5%
- Co-authors
- Chee Fang SumSu Chi LimJianjun LiuKandiah JeyaseelanArunmozhiarasi ArmugamMichael WongDwi Setyowati KarolinaSharon Li Ting Pek
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (38 papers)Chronic Kidney Disease and Diabetes (30 papers)Diabetes Treatment and Management (24 papers)
- Partner nations
- SingaporeUnited StatesAustralia
In The Last Decade
Tavintharan Subramaniam
165 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 142
- Molecular Biology 1.6k
- Physiology 1.4k
- Endocrinology, Diabetes and Metabolism 1.1k
- Cancer Research 872
- Epidemiology 791
Countries citing papers authored by Tavintharan Subramaniam
This map shows the geographic impact of Tavintharan Subramaniam'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 Tavintharan Subramaniam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tavintharan Subramaniam more than expected).
Fields of papers citing papers by Tavintharan Subramaniam
This network shows the impact of papers produced by Tavintharan Subramaniam. 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 Tavintharan Subramaniam. The network helps show where Tavintharan Subramaniam may publish in the future.
Co-authorship network of co-authors of Tavintharan Subramaniam
This figure shows the co-authorship network connecting the top 25 collaborators of Tavintharan Subramaniam. A scholar is included among the top collaborators of Tavintharan Subramaniam 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 Tavintharan Subramaniam. Tavintharan Subramaniam 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 | 4 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 21 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 21 | |
| 12 | 1 | |
| 13 | 46 | |
| 14 | 41 | |
| 15 | 2 | |
| 16 | 18 | |
| 17 | 89 | |
| 18 | 19 | |
| 19 | 55 | |
| 20 | 186 |
About Tavintharan Subramaniam
Tavintharan Subramaniam is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 174 papers that have together received 4.7k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (38 papers), Chronic Kidney Disease and Diabetes (30 papers) and Diabetes Treatment and Management (24 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Nephrology (453 citations) and Cancer Research (872 citations). Tavintharan Subramaniam has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Chee Fang Sum, Su Chi Lim, Jianjun Liu, Kandiah Jeyaseelan, Arunmozhiarasi Armugam, Michael Wong, Dwi Setyowati Karolina, Sharon Li Ting Pek, Serena Low and Sylvia Liu. Their work appears in journals such as PLoS ONE, 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.