Ian Cheong
Impact in
- Biotechnology top 0.5%
- Cancer Research and Treatments
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Cancer Research and Treatments 13
- Genetics 4
- Virus-based gene therapy research 3
- Myeloproliferative Neoplasms: Diagnosis and Treatment 3
- Co-authors
- Bert VogelsteinKenneth W. KinzlerLuis A. DíazShibin ZhouVictor E. VelculescuCarlo RagoChristoph LengauerDavid L. Huso
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Science (2 papers)Communications Biology (2 papers)ACS Sensors (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesSingaporeCanada
In The Last Decade
Ian Cheong
37 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Biotechnology 683
- Cancer Research 660
- Oncology 718
- Molecular Biology 1.8k
- Genetics 223
Countries citing papers authored by Ian Cheong
This map shows the geographic impact of Ian Cheong'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 Ian Cheong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Cheong more than expected).
Fields of papers citing papers by Ian Cheong
This network shows the impact of papers produced by Ian Cheong. 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 Ian Cheong. The network helps show where Ian Cheong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ian Cheong, 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 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 0 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 0 | |
| 11 | 2020 | 19 | |
| 12 | 2010 | 106 | |
| 13 | Glucose Deprivation Contributes to the Development of KRAS Pathway Mutations in Tumor Cells Hit paper breakdown → | 2009 | 724 |
| 14 | 2009 | 13 | |
| 15 | 2007 | 72 | |
| 16 | 2006 | 136 | |
| 17 | 2006 | 126 | |
| 18 | Mutant PIK3CA promotes cell growth and invasion of human cancer cells Hit paper breakdown → | 2005 | 727 |
| 19 | 2004 | 80 | |
| 20 | 1992 | 23 |
About Ian Cheong
Ian Cheong is a scholar working on Biotechnology, Genetics, Oncology, Ecology and Clinical Biochemistry, having authored 42 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cancer Research and Treatments (13 papers), Bacteriophages and microbial interactions (8 papers), Nanoplatforms for cancer theranostics (6 papers), Viral-associated cancers and disorders (4 papers), Cancer-related Molecular Pathways (4 papers), Virus-based gene therapy research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). The work is most often cited by research in Biotechnology (683 citations), Cancer Research (660 citations), Oncology (718 citations), Molecular Biology (1.8k citations) and Genetics (223 citations). Ian Cheong has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Bert Vogelstein, Kenneth W. Kinzler, Luis A. Díaz, Shibin Zhou, Victor E. Velculescu, Carlo Rago, Christoph Lengauer, David L. Huso, Oleg Schmidt‐Kittler and Chetan Bettegowda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science, Communications Biology, ACS Sensors 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.