T Ng
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Epidemiology top 10%
- Adipokines, Inflammation, and Metabolic Diseases
- Liver Disease Diagnosis and Treatment
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 10
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- Adipokines, Inflammation, and Metabolic Diseases 6
- Co-authors
- Gerald F. Watts (20 shared papers)P. Hugh R. Barrett (18 shared papers)Dick C. Chan (18 shared papers)Esther Ooi (10 shared papers)Maryam S. Farvid (3 shared papers)Peter J. Meikle (8 shared papers)Shizuya Yamashita (4 shared papers)Kerry‐Anne Rye (2 shared papers)
In The Last Decade
T Ng
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 92
- Endocrinology, Diabetes and Metabolism 249
- Epidemiology 266
- Endocrine and Autonomic Systems 47
- Physiology 173
- Cardiology and Cardiovascular Medicine 130
Countries citing papers authored by T Ng
This map shows the geographic impact of T Ng'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 T Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Ng more than expected).
Fields of papers citing papers by T Ng
This network shows the impact of papers produced by T Ng. 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 T Ng. The network helps show where T Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside T Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 124 | |
| 2 | 2015 | 109 | |
| 3 | 2005 | 100 | |
| 4 | 2005 | 87 | |
| 5 | 2007 | 85 | |
| 6 | 2014 | 65 | |
| 7 | 2008 | 54 | |
| 8 | 2017 | 53 | |
| 9 | 2011 | 50 | |
| 10 | 2006 | 47 | |
| 11 | 2012 | 42 | |
| 12 | 2013 | 39 | |
| 13 | 2011 | 39 | |
| 14 | 2016 | 25 | |
| 15 | 2009 | 25 | |
| 16 | 2015 | 24 | |
| 17 | 2013 | 18 | |
| 18 | 2015 | 16 | |
| 19 | 2009 | 14 | |
| 20 | 2012 | 14 |
About T Ng
T Ng is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery, Molecular Biology and Physiology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Diet and metabolism studies (3 papers), Fatty Acid Research and Health (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Lipid metabolism and biosynthesis (2 papers), Lipoproteins and Cardiovascular Health (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (249 citations), Epidemiology (266 citations), Endocrine and Autonomic Systems (47 citations), Physiology (173 citations) and Cardiology and Cardiovascular Medicine (130 citations). T Ng has collaborated with scholars based in Australia, Japan and Iran. Frequent co-authors include Gerald F. Watts, P. Hugh R. Barrett, Dick C. Chan, Esther Ooi, Maryam S. Farvid, Peter J. Meikle, Shizuya Yamashita, Kerry‐Anne Rye, Aliki A. Rasmiena and Yoshiaki Uchida. Their work appears in journals such as Clinical Science, Diabetes Obesity and Metabolism, Journal of Lipid Research, Arteriosclerosis Thrombosis and Vascular Biology and The Journal of Clinical Endocrinology & Metabolism.
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.