Chee Wee Ong
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 5
- Oncology 18
- Cancer Cells and Metastasis 5
- HER2/EGFR in Cancer Research 3
- Peptidase Inhibition and Analysis 3
- Co-authors
- Manuel Salto‐Tellez (26 shared papers)Benedict Yan (9 shared papers)Supriya Srivastava (6 shared papers)Richie Soong (6 shared papers)Brendan Pang (5 shared papers)Khay Guan Yeoh (3 shared papers)Barry Iacopetta (1 shared paper)Kol Jia Yong (4 shared papers)
- Journals
- Journal of Clinical Pathology (3 papers)Oncotarget (3 papers)Clinical Cancer Research (2 papers)Annals of Oncology (2 papers)Oncogene (2 papers)
- Partner nations
- SingaporeUnited KingdomUnited States
In The Last Decade
Chee Wee Ong
34 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 86
- Oncology 688
- Cancer Research 338
- Molecular Biology 845
- Pulmonary and Respiratory Medicine 314
- Immunology 179
Countries citing papers authored by Chee Wee Ong
This map shows the geographic impact of Chee Wee 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 Chee Wee Ong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chee Wee Ong more than expected).
Fields of papers citing papers by Chee Wee Ong
This network shows the impact of papers produced by Chee Wee 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 Chee Wee Ong. The network helps show where Chee Wee Ong may publish in the future.
Co-authors
The 25 scholars most cited alongside Chee Wee 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 198 | |
| 2 | 2010 | 140 | |
| 3 | 2015 | 108 | |
| 4 | 2011 | 94 | |
| 5 | 2010 | 90 | |
| 6 | 2012 | 90 | |
| 7 | 2013 | 89 | |
| 8 | 2011 | 63 | |
| 9 | 2011 | 62 | |
| 10 | 2011 | 51 | |
| 11 | 2011 | 44 | |
| 12 | 2012 | 39 | |
| 13 | 2012 | 39 | |
| 14 | 2011 | 37 | |
| 15 | 2014 | 36 | |
| 16 | 2014 | 34 | |
| 17 | 2010 | 32 | |
| 18 | 2013 | 32 | |
| 19 | 2016 | 32 | |
| 20 | 2011 | 31 |
About Chee Wee Ong
Chee Wee Ong is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Pathology and Forensic Medicine, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Prostate Cancer Treatment and Research (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Genetic factors in colorectal cancer (3 papers), HER2/EGFR in Cancer Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Peptidase Inhibition and Analysis (3 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Oncology (688 citations), Cancer Research (338 citations), Molecular Biology (845 citations), Pulmonary and Respiratory Medicine (314 citations) and Immunology (179 citations). Chee Wee Ong has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Manuel Salto‐Tellez, Benedict Yan, Supriya Srivastava, Richie Soong, Brendan Pang, Khay Guan Yeoh, Barry Iacopetta, Kol Jia Yong, Yoshiaki Ito and Darragh G. McArt. Their work appears in journals such as Journal of Clinical Pathology, Oncotarget, Clinical Cancer Research, Annals of Oncology and Oncogene.
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.