Ming Keat Sng
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
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- Lipid metabolism and disorders
Papers in
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- Peroxisome Proliferator-Activated Receptors 4
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- Lipid metabolism and disorders 5
- Co-authors
- Nguan Soon Tan (17 shared papers)Z. Q. Teo (8 shared papers)Ming Tan (3 shared papers)Pengcheng Zhu (6 shared papers)Jeremy Soon Kiat Chan (12 shared papers)Chek Kun Tan (4 shared papers)Han Chung Chong (3 shared papers)Terri Phua (4 shared papers)
- Journals
- Scientific Reports (4 papers)Oncogene (3 papers)Progress in Lipid Research (1 paper)Cell Death and Differentiation (1 paper)Cell Discovery (1 paper)
- Partner nations
- SingaporeFranceSwitzerland
In The Last Decade
Ming Keat Sng
17 papers receiving 873 citations
Peers
Comparison fields: 5 of 94
- Cancer Research 265
- Cardiology and Cardiovascular Medicine 244
- Rehabilitation 52
- Oncology 144
- Molecular Biology 387
Countries citing papers authored by Ming Keat Sng
This map shows the geographic impact of Ming Keat Sng'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 Ming Keat Sng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Keat Sng more than expected).
Fields of papers citing papers by Ming Keat Sng
This network shows the impact of papers produced by Ming Keat Sng. 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 Ming Keat Sng. The network helps show where Ming Keat Sng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Keat Sng, 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 | 2011 | 203 | |
| 2 | 2012 | 145 | |
| 3 | 2017 | 109 | |
| 4 | 2017 | 64 | |
| 5 | 2016 | 63 | |
| 6 | 2014 | 52 | |
| 7 | 2013 | 47 | |
| 8 | 2017 | 37 | |
| 9 | 2017 | 33 | |
| 10 | 2018 | 32 | |
| 11 | 2017 | 24 | |
| 12 | 2017 | 21 | |
| 13 | 2018 | 15 | |
| 14 | 2020 | 12 | |
| 15 | 2016 | 9 | |
| 16 | 2014 | 7 | |
| 17 | 2019 | 5 |
About Ming Keat Sng
Ming Keat Sng is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology, Cell Biology and Cancer Research, having authored 17 papers that have together received 878 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Wound Healing and Treatments (2 papers), Cancer, Lipids, and Metabolism (2 papers), Cancer Cells and Metastasis (2 papers), Cellular Mechanics and Interactions (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Cancer Research (265 citations), Cardiology and Cardiovascular Medicine (244 citations), Rehabilitation (52 citations), Oncology (144 citations) and Molecular Biology (387 citations). Ming Keat Sng has collaborated with scholars based in Singapore, France and Switzerland. Frequent co-authors include Nguan Soon Tan, Z. Q. Teo, Ming Tan, Pengcheng Zhu, Jeremy Soon Kiat Chan, Chek Kun Tan, Han Chung Chong, Terri Phua, Walter Wahli and Jeak Ling Ding. Their work appears in journals such as Scientific Reports, Oncogene, Progress in Lipid Research, Cell Death and Differentiation and Cell Discovery.
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.