Sang-Ging Ong
Impact in
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- Chemotherapy-induced cardiotoxicity and mitigation
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
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- Pluripotent Stem Cells Research 7
- Renal and related cancers 2
- CRISPR and Genetic Engineering 2
- Co-authors
- Joseph C. Wu (11 shared papers)Kazuki Kodo (9 shared papers)Won Hee Lee (9 shared papers)Antje Ebert (4 shared papers)Daniel Bernstein (2 shared papers)Haodi Wu (3 shared papers)Yong Fuga Li (2 shared papers)Russ B. Altman (2 shared papers)
- Journals
- Stem Cell Reports (2 papers)Circulation (2 papers)Stem Cells (1 paper)Nature Cell Biology (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Sang-Ging Ong
15 papers receiving 1.4k citations
Sang-Ging Ong's Hit Papers
Peers
Comparison fields: 5 of 100
- Cardiology and Cardiovascular Medicine 419
- Cancer Research 268
- Molecular Biology 930
- Cellular and Molecular Neuroscience 124
- Biomaterials 79
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
| # | Work | ||
|---|---|---|---|
| 1 | Human induced pluripotent stem cell–derived cardiomyocytes recapitulate the predilection of breast cancer patients to doxorubicin-induced cardiotoxicity Hit paper breakdown → | 2016 | 533 |
| 2 | 2014 | 181 | |
| 3 | 2014 | 137 | |
| 4 | 2016 | 129 | |
| 5 | 2015 | 74 | |
| 6 | 2017 | 61 | |
| 7 | 2015 | 53 | |
| 8 | 2015 | 51 | |
| 9 | 2017 | 43 | |
| 10 | 2017 | 41 | |
| 11 | 2019 | 37 | |
| 12 | 2014 | 36 | |
| 13 | 2016 | 21 | |
| 14 | 2015 | 16 | |
| 15 | 2020 | 13 |
About Sang-Ging Ong
Sang-Ging Ong is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Surgery and Epidemiology, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), MicroRNA in disease regulation (2 papers), Renal and related cancers (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Effects of Radiation Exposure (2 papers), CRISPR and Genetic Engineering (2 papers), 3D Printing in Biomedical Research (2 papers) and Radiation Dose and Imaging (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (419 citations), Cancer Research (268 citations), Molecular Biology (930 citations), Cellular and Molecular Neuroscience (124 citations) and Biomaterials (79 citations). Sang-Ging Ong has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Joseph C. Wu, Kazuki Kodo, Won Hee Lee, Antje Ebert, Daniel Bernstein, Haodi Wu, Yong Fuga Li, Russ B. Altman, Paul W. Burridge and Elena Matsa. Their work appears in journals such as Stem Cell Reports, Circulation, Stem Cells, Nature Cell Biology and The Journal of Immunology.
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.