Peter Ang
Impact in
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Cancer Treatment and Pharmacology
- Drug Transport and Resistance Mechanisms
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
Papers in
- Co-authors
- Balram Chowbay (9 shared papers)Zee Wan Wong (5 shared papers)Suman Lal (4 shared papers)Edmund J.D. Lee (3 shared papers)Edwin Sandanaraj (3 shared papers)Yoon Sim Yap (13 shared papers)Nan Soon Wong (8 shared papers)Ann S. G. Lee (11 shared papers)
- Journals
- Journal of Clinical Oncology (5 papers)Human Genomics (2 papers)Cancer Research (2 papers)Breast Cancer Research and Treatment (2 papers)Cancer Science (2 papers)
- Partner nations
- SingaporeUnited StatesJapan
In The Last Decade
Peter Ang
56 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 101
- Oncology 615
- Pharmacology 112
- Cancer Research 162
- Dermatology 96
- Genetics 297
Countries citing papers authored by Peter Ang
This map shows the geographic impact of Peter Ang'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 Peter Ang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Ang more than expected).
Fields of papers citing papers by Peter Ang
This network shows the impact of papers produced by Peter Ang. 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 Peter Ang. The network helps show where Peter Ang may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Ang, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 274 | |
| 2 | 2009 | 127 | |
| 3 | 2008 | 116 | |
| 4 | 2003 | 108 | |
| 5 | 2007 | 76 | |
| 6 | 2008 | 62 | |
| 7 | 2008 | 61 | |
| 8 | 2012 | 58 | |
| 9 | 2000 | 53 | |
| 10 | 2012 | 47 | |
| 11 | 2005 | 46 | |
| 12 | 2012 | 46 | |
| 13 | 2012 | 44 | |
| 14 | 2016 | 43 | |
| 15 | 2011 | 34 | |
| 16 | 2007 | 29 | |
| 17 | 2006 | 28 | |
| 18 | 2011 | 25 | |
| 19 | 2016 | 24 | |
| 20 | 2004 | 24 |
About Peter Ang
Peter Ang is a scholar working on Oncology, Genetics, Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (9 papers), HER2/EGFR in Cancer Research (6 papers), Pharmacogenetics and Drug Metabolism (4 papers), Cancer Genomics and Diagnostics (4 papers), Lung Cancer Treatments and Mutations (4 papers), Genetic Associations and Epidemiology (3 papers), Cancer Treatment and Pharmacology (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Oncology (615 citations), Pharmacology (112 citations), Cancer Research (162 citations), Dermatology (96 citations) and Genetics (297 citations). Peter Ang has collaborated with scholars based in Singapore, United States and Japan. Frequent co-authors include Balram Chowbay, Zee Wan Wong, Suman Lal, Edmund J.D. Lee, Edwin Sandanaraj, Yoon Sim Yap, Nan Soon Wong, Ann S. G. Lee, Puay Hoon Tan and Swan Swan Leong. Their work appears in journals such as Journal of Clinical Oncology, Human Genomics, Cancer Research, Breast Cancer Research and Treatment and Cancer Science.
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.