Sang-Ging Ong

4.4k total citations · 1 hit paper
15 papers, 1.4k citations indexed

About

Sang-Ging Ong is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Sang-Ging Ong has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Cancer Research. Recurrent topics in Sang-Ging Ong's work include Pluripotent Stem Cells Research (7 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Radiation Dose and Imaging (2 papers). Sang-Ging Ong is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Radiation Dose and Imaging (2 papers). Sang-Ging Ong collaborates with scholars based in United States, Japan and Malaysia. Sang-Ging Ong's co-authors include Joseph C. Wu, Kazuki Kodo, Won Hee Lee, Antje Ebert, Daniel Bernstein, Haodi Wu, Russ B. Altman, Yong Fuga Li, Paul W. Burridge and Joshua W. Knowles and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Medicine.

In The Last Decade

Sang-Ging Ong

15 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Human induced pluripotent stem cell–derived cardiomyocytes recapitulate the predilection of breast cancer patients to doxorubicin-induced cardiotoxicity

2016 533 citations Paul W. Burridge, Yong Fuga Li et al. Nature Medicine profile →

Peers

Sang-Ging Ong

CCM

SURGE

Alex Chia Yu Chang China

Gwang Hyeon Eom South Korea

Chantal Allamargot United States

Katrin Streckfuß‐Bömeke Germany

Raisa Serpi Finland

Karim Sallam United States

Verónica Sánchez-Freire United States

Tatyana Novoyatleva Germany

Kristin M. French United States

Alexandra Holmström Sweden

Alex Chia Yu Chang China

Sang-Ging Ong

1.3k ×1.4

564 ×1.3

CCM

189 ×0.7

219 ×0.9

SURGE

229 ×1.0

Citations per year, relative to Sang-Ging Ong Sang-Ging Ong (= 1×) peers Alex Chia Yu Chang

Countries citing papers authored by Sang-Ging Ong

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sang-Ging Ong

This figure shows the co-authorship network connecting the top 25 collaborators of Sang-Ging Ong. A scholar is included among the top collaborators of Sang-Ging Ong 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 Sang-Ging Ong. Sang-Ging Ong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Pearl, Dana, Sakie Katsumura, Mehdi Amiri, et al.. (2020). 4E-BP–Dependent Translational Control of Irf8 Mediates Adipose Tissue Macrophage Inflammatory Response. The Journal of Immunology. 204(9). 2392–2400. 13 indexed citations

Ong, Sang‐Bing, Won Hee Lee, Nur Izzah Ismail, et al.. (2019). Calpain Inhibition Restores Autophagy and Prevents Mitochondrial Fragmentation in a Human iPSC Model of Diabetic Endotheliopathy. Stem Cell Reports. 12(3). 597–610. 37 indexed citations

Kodo, Kazuki, Shinsuke Shibata, Sachiko Miyagawa‐Tomita, et al.. (2017). Regulation of Sema3c and the Interaction between Cardiac Neural Crest and Second Heart Field during Outflow Tract Development. Scientific Reports. 7(1). 6771–6771. 41 indexed citations

Zhao, Ming-Tao, Haodong Chen, Qing Liu, et al.. (2017). Molecular and functional resemblance of differentiated cells derived from isogenic human iPSCs and SCNT-derived ESCs. Proceedings of the National Academy of Sciences. 114(52). E11111–E11120. 61 indexed citations

Lee, Won Hee, Ning‐Yi Shao, Dan Xiao, et al.. (2017). Comparison of Non-Coding RNAs in Exosomes and Functional Efficacy of Human Embryonic Stem Cell- versus Induced Pluripotent Stem Cell-Derived Cardiomyocytes. Stem Cells. 35(10). 2138–2149. 43 indexed citations

Kodo, Kazuki, Sang-Ging Ong, Fereshteh Jahanbani, et al.. (2016). iPSC-derived cardiomyocytes reveal abnormal TGF-β signalling in left ventricular non-compaction cardiomyopathy. Nature Cell Biology. 18(10). 1031–1042. 129 indexed citations

Burridge, Paul W., Yong Fuga Li, Elena Matsa, et al.. (2016). Human induced pluripotent stem cell–derived cardiomyocytes recapitulate the predilection of breast cancer patients to doxorubicin-induced cardiotoxicity. Nature Medicine. 22(5). 547–556. 533 indexed citations breakdown →

Riegler, Johannes, Antje Ebert, Xulei Qin, et al.. (2016). Comparison of Magnetic Resonance Imaging and Serum Biomarkers for Detection of Human Pluripotent Stem Cell-Derived Teratomas. Stem Cell Reports. 6(2). 176–187. 21 indexed citations

Nguyen, Patricia K., Won Hee Lee, Yong Fuga Li, et al.. (2015). Assessment of the Radiation Effects of Cardiac CT Angiography Using Protein and Genetic Biomarkers. JACC. Cardiovascular imaging. 8(8). 873–884. 51 indexed citations

10.

Ong, Sang-Ging, Won Hee Lee, Kazuki Kodo, & Joseph C. Wu. (2015). MicroRNA-mediated regulation of differentiation and trans-differentiation in stem cells. Advanced Drug Delivery Reviews. 88. 3–15. 53 indexed citations

11.

Lee, Won Hee, Patricia K. Nguyen, Shijun Hu, et al.. (2015). Variable Activation of the DNA Damage Response Pathways in Patients Undergoing Single-Photon Emission Computed Tomography Myocardial Perfusion Imaging. Circulation Cardiovascular Imaging. 8(2). e002851–e002851. 16 indexed citations

12.

Ong, Sang-Ging, Bruno Hüber, Won Hee Lee, et al.. (2015). Microfluidic Single-Cell Analysis of Transplanted Human Induced Pluripotent Stem Cell–Derived Cardiomyocytes After Acute Myocardial Infarction. Circulation. 132(8). 762–771. 74 indexed citations

13.

Ong, Sang-Ging, Won Hee Lee, Kazuki Kodo, et al.. (2014). HIF-1 reduces ischaemia–reperfusion injury in the heart by targeting the mitochondrial permeability transition pore. Cardiovascular Research. 104(1). 24–36. 137 indexed citations

14.

Gu, Mingxia, Nicholas M. Mordwinkin, Nigel G. Kooreman, et al.. (2014). Pravastatin reverses obesity-induced dysfunction of induced pluripotent stem cell-derived endothelial cells via a nitric oxide-dependent mechanism. European Heart Journal. 36(13). 806–816. 36 indexed citations

15.

Ong, Sang-Ging, Won Hee Lee, Mei Huang, et al.. (2014). Cross Talk of Combined Gene and Cell Therapy in Ischemic Heart Disease. Circulation. 130(11_suppl_1). S60–9. 181 indexed citations

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.

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