Keith Cheung
Impact in
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
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- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
Papers in
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- Ubiquitin and proteasome pathways 4
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- Microtubule and mitosis dynamics 3
- Hippo pathway signaling and YAP/TAZ 1
- Co-authors
- Murray D. Mitchell (4 shared papers)Olivia J. Holland (2 shared papers)Jorge Z. Torres (5 shared papers)Ankur A. Gholkar (5 shared papers)Marloes Dekker Nitert (1 shared paper)Leonie Callaway (1 shared paper)Anthony V. Perkins (1 shared paper)James Cuffe (1 shared paper)
- Journals
- Molecular Biology of the Cell (1 paper)Frontiers in Psychiatry (1 paper)Journal of Proteome Research (1 paper)Cell Death and Disease (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- AustraliaUnited StatesBulgaria
In The Last Decade
Keith Cheung
11 papers receiving 311 citations
Peers
Comparison fields: 5 of 65
- Obstetrics and Gynecology 67
- Cancer Research 76
- Pediatrics, Perinatology and Child Health 73
- Cell Biology 60
- Pharmacology 52
Countries citing papers authored by Keith Cheung
This map shows the geographic impact of Keith Cheung'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 Keith Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Cheung more than expected).
Fields of papers citing papers by Keith Cheung
This network shows the impact of papers produced by Keith Cheung. 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 Keith Cheung. The network helps show where Keith Cheung may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith Cheung, 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 | 2018 | 82 | |
| 2 | 2016 | 58 | |
| 3 | 2019 | 46 | |
| 4 | 2016 | 40 | |
| 5 | 2022 | 27 | |
| 6 | 2021 | 22 | |
| 7 | 2014 | 15 | |
| 8 | 2021 | 12 | |
| 9 | 2016 | 6 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 1 |
About Keith Cheung
Keith Cheung is a scholar working on Molecular Biology, Cell Biology, Surgery, Pharmacology and Cancer Research, having authored 11 papers that have together received 313 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Microtubule and mitosis dynamics (3 papers), Cannabis and Cannabinoid Research (2 papers), Pancreatic function and diabetes (1 paper), MicroRNA in disease regulation (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Alzheimer's disease research and treatments (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Obstetrics and Gynecology (67 citations), Cancer Research (76 citations), Pediatrics, Perinatology and Child Health (73 citations), Cell Biology (60 citations) and Pharmacology (52 citations). Keith Cheung has collaborated with scholars based in Australia, United States and Bulgaria. Frequent co-authors include Murray D. Mitchell, Olivia J. Holland, Jorge Z. Torres, Ankur A. Gholkar, Marloes Dekker Nitert, Leonie Callaway, Anthony V. Perkins, James Cuffe, Hassendrini N. Peiris and Yu‐Chen Lo. Their work appears in journals such as Molecular Biology of the Cell, Frontiers in Psychiatry, Journal of Proteome Research, Cell Death and Disease and Molecular & Cellular Proteomics.
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.