Patrick Chu
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
Papers in
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- Retinoids in leukemia and cellular processes 6
-
- Multiple Myeloma Research and Treatments 4
- Co-authors
- Chi Keung Marco Lau (1 shared paper)Ronnie T. P. Poon (1 shared paper)Wan Yu (1 shared paper)Patricia Ngai (1 shared paper)Zhen Yang (1 shared paper)Sheung Tat Fan (1 shared paper)Michael Ng (1 shared paper)Chi Tat Lam (1 shared paper)
- Journals
- Health Technology Assessment (2 papers)Blood (2 papers)Bone Marrow Transplantation (2 papers)Postgraduate Medical Journal (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- United KingdomChinaHong Kong
In The Last Decade
Patrick Chu
30 papers receiving 1.5k citations
Patrick Chu's Hit Papers
Peers
Comparison fields: 5 of 108
- Oncology 768
- Cancer Research 374
- Hepatology 185
- Hematology 151
- Molecular Biology 756
Countries citing papers authored by Patrick Chu
This map shows the geographic impact of Patrick Chu'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 Patrick Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Chu more than expected).
Fields of papers citing papers by Patrick Chu
This network shows the impact of papers produced by Patrick Chu. 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 Patrick Chu. The network helps show where Patrick Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Chu, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Significance of CD90+ Cancer Stem Cells in Human Liver Cancer Hit paper breakdown → | 2008 | 963 |
| 2 | 2000 | 101 | |
| 3 | 2001 | 99 | |
| 4 | 1997 | 52 | |
| 5 | 2009 | 40 | |
| 6 | 2006 | 32 | |
| 7 | 2006 | 32 | |
| 8 | 2001 | 29 | |
| 9 | 2020 | 26 | |
| 10 | 2013 | 24 | |
| 11 | 2005 | 20 | |
| 12 | 2003 | 19 | |
| 13 | 2000 | 18 | |
| 14 | 1999 | 15 | |
| 15 | 2009 | 13 | |
| 16 | 2009 | 10 | |
| 17 | 2012 | 10 | |
| 18 | 2000 | 10 | |
| 19 | 1985 | 8 | |
| 20 | 1996 | 7 |
About Patrick Chu
Patrick Chu is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Epidemiology, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Antifungal resistance and susceptibility (4 papers), Multiple Myeloma Research and Treatments (4 papers), Viral-associated cancers and disorders (3 papers), T-cell and B-cell Immunology (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Fungal Infections and Studies (3 papers). The work is most often cited by research in Oncology (768 citations), Cancer Research (374 citations), Hepatology (185 citations), Hematology (151 citations) and Molecular Biology (756 citations). Patrick Chu has collaborated with scholars based in United Kingdom, China and Hong Kong. Frequent co-authors include Chi Keung Marco Lau, Ronnie T. P. Poon, Wan Yu, Patricia Ngai, Zhen Yang, Sheung Tat Fan, Michael Ng, Chi Tat Lam, David Ho and William M.W. Cheung. Their work appears in journals such as Health Technology Assessment, Blood, Bone Marrow Transplantation, Postgraduate Medical Journal and British Journal of Haematology.
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.