Sang‐Ging Ong
Impact in
- Aging top 10%
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- Chemotherapy-induced cardiotoxicity and mitigation
Papers in ⓘ
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- MicroRNA in disease regulation 4
- Cancer, Hypoxia, and Metabolism 4
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- Metabolism and Genetic Disorders 3
- Co-authors
- Derek J. Hausenloy (8 shared papers)Joseph C. Wu (9 shared papers)Sang‐Bing Ong (9 shared papers)Won Hee Lee (9 shared papers)Nur Izzah Ismail (3 shared papers)Lei Tian (2 shared papers)Sauri Hernández‐Reséndiz (3 shared papers)Siavash Beikoghli Kalkhoran (2 shared papers)
- Journals
- Nature Communications (3 papers)Frontiers in Cell and Developmental Biology (2 papers)Journal of Clinical Investigation (2 papers)PLoS Biology (2 papers)Pharmacology & Therapeutics (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Sang‐Ging Ong
40 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 100
- Aging 32
- Cardiology and Cardiovascular Medicine 320
- Cancer Research 184
- Molecular Biology 829
- Physiology 242
Countries citing papers authored by Sang‐Ging Ong
This map shows the geographic impact of Sang‐Ging Ong'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 Sang‐Ging Ong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang‐Ging Ong more than expected).
Fields of papers citing papers by Sang‐Ging Ong
This network shows the impact of papers produced by Sang‐Ging Ong. 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 Sang‐Ging Ong. The network helps show where Sang‐Ging Ong may publish in the future.
Co-authors
The 25 scholars most cited alongside Sang‐Ging Ong, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 148 | |
| 2 | 2019 | 107 | |
| 3 | 2020 | 106 | |
| 4 | 2012 | 96 | |
| 5 | 2010 | 92 | |
| 6 | 2014 | 91 | |
| 7 | 2018 | 87 | |
| 8 | 2017 | 85 | |
| 9 | 2013 | 71 | |
| 10 | 2016 | 56 | |
| 11 | 2015 | 54 | |
| 12 | 2022 | 37 | |
| 13 | 2017 | 33 | |
| 14 | 2016 | 32 | |
| 15 | 2021 | 29 | |
| 16 | 2021 | 28 | |
| 17 | 2022 | 25 | |
| 18 | 2019 | 23 | |
| 19 | 2023 | 21 | |
| 20 | 2022 | 19 |
About Sang‐Ging Ong
Sang‐Ging Ong is a scholar working on Cancer Research, Clinical Biochemistry, Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), CRISPR and Genetic Engineering (5 papers), MicroRNA in disease regulation (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Aging (32 citations), Cardiology and Cardiovascular Medicine (320 citations), Cancer Research (184 citations), Molecular Biology (829 citations) and Physiology (242 citations). Sang‐Ging Ong has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Derek J. Hausenloy, Joseph C. Wu, Sang‐Bing Ong, Won Hee Lee, Nur Izzah Ismail, Lei Tian, Sauri Hernández‐Reséndiz, Siavash Beikoghli Kalkhoran, Yongming Wang and Uma Mukherjee. Their work appears in journals such as Nature Communications, Frontiers in Cell and Developmental Biology, Journal of Clinical Investigation, PLoS Biology and Pharmacology & Therapeutics.
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.