Chin‐Tong Ong
Impact in
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Developmental Biology and Gene Regulation
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
- Aging 2
- Co-authors
- Victor G. CorcesRaphael KopanNaomi TakenakaZhaohui QinBryan R. LajoieYuhua SunWilliam WagstaffStephen Dalton
- Journals
- Aging Cell (3 papers)Cell (2 papers)Journal of Biological Chemistry (2 papers)Nature Reviews Genetics (2 papers)PLoS ONE (2 papers)
- Partner nations
- SingaporeUnited StatesCanada
In The Last Decade
Chin‐Tong Ong
28 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 3.3k
- Cancer Research 361
- Aging 33
- Plant Science 675
- Genetics 493
Countries citing papers authored by Chin‐Tong Ong
This map shows the geographic impact of Chin‐Tong 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 Chin‐Tong Ong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin‐Tong Ong more than expected).
Fields of papers citing papers by Chin‐Tong Ong
This network shows the impact of papers produced by Chin‐Tong 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 Chin‐Tong Ong. The network helps show where Chin‐Tong Ong may publish in the future.
Co-authors
The 25 scholars most cited alongside Chin‐Tong 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 7 | |
| 4 | 2022 | 20 | |
| 5 | 2021 | 6 | |
| 6 | 2019 | 14 | |
| 7 | 2019 | 17 | |
| 8 | 2018 | 8 | |
| 9 | 2015 | 226 | |
| 10 | CTCF: an architectural protein bridging genome topology and function Hit paper breakdown → | 2014 | 717 |
| 11 | 2013 | 59 | |
| 12 | Architectural Protein Subclasses Shape 3D Organization of Genomes during Lineage Commitment Hit paper breakdown → | 2013 | 871 |
| 13 | Enhancer function: new insights into the regulation of tissue-specific gene expression Hit paper breakdown → | 2011 | 655 |
| 14 | 2011 | 42 | |
| 15 | 2009 | 19 | |
| 16 | 2008 | 77 | |
| 17 | 2008 | 7 | |
| 18 | 2007 | 193 | |
| 19 | 2007 | 82 | |
| 20 | 2005 | 183 |
About Chin‐Tong Ong
Chin‐Tong Ong is a scholar working on Aging, Structural Biology, Molecular Biology, Dermatology and Genetics, having authored 28 papers that have together received 3.9k indexed citations. Recurring topics across this work include RNA Research and Splicing (12 papers), Genomics and Chromatin Dynamics (10 papers), Epigenetics and DNA Methylation (5 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers), Plant Molecular Biology Research (4 papers), Developmental Biology and Gene Regulation (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Molecular Biology (3.3k citations), Cancer Research (361 citations), Aging (33 citations), Plant Science (675 citations) and Genetics (493 citations). Chin‐Tong Ong has collaborated with scholars based in Singapore, United States and Canada. Frequent co-authors include Victor G. Corces, Raphael Kopan, Naomi Takenaka, Zhaohui Qin, Bryan R. Lajoie, Yuhua Sun, William Wagstaff, Stephen Dalton, M. Bland and James Taylor. Their work appears in journals such as Aging Cell, Cell, Journal of Biological Chemistry, Nature Reviews Genetics and PLoS ONE.
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.