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
-
- Multiple Myeloma Research and Treatments 5
- Genetics 6
- Chronic Lymphocytic Leukemia Research 4
- Co-authors
- David W. Ho (1 shared paper)Wan Ching Yu (1 shared paper)Ronnie T. P. Poon (1 shared paper)Chi Tat Lam (1 shared paper)Michael Ng (1 shared paper)Chi Keung Marco Lau (1 shared paper)Sheung Tat Fan (1 shared paper)Zhen Fan Yang (1 shared paper)
- Journals
- Bone Marrow Transplantation (2 papers)British Journal of Haematology (2 papers)Health Technology Assessment (2 papers)Drugs of today (1 paper)Leukemia (1 paper)
- Partner nations
- United KingdomChinaHong Kong
In The Last Decade
Patrick Chu
31 papers receiving 1.7k citations
Patrick Chu's Hit Papers
Peers
Comparison fields: 5 of 99
- Oncology 747
- Cancer Research 344
- Hepatology 170
- Hematology 146
- Molecular Biology 699
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 34 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 | 1044 |
| 2 | 2001 | 107 | |
| 3 | 2000 | 106 | |
| 4 | 1997 | 60 | |
| 5 | 2009 | 41 | |
| 6 | 2006 | 38 | |
| 7 | 2020 | 35 | |
| 8 | 2006 | 35 | |
| 9 | 2001 | 30 | |
| 10 | 2013 | 24 | |
| 11 | 2005 | 23 | |
| 12 | 2003 | 20 | |
| 13 | 2000 | 18 | |
| 14 | 1999 | 17 | |
| 15 | 2012 | 16 | |
| 16 | 2009 | 14 | |
| 17 | 2000 | 13 | |
| 18 | 2009 | 11 | |
| 19 | 1985 | 9 | |
| 20 | 1996 | 7 |
About Patrick Chu
Patrick Chu is a scholar working on Hematology, Genetics, Oncology, Infectious Diseases and Immunology, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (6 papers), Retinoids in leukemia and cellular processes (5 papers), Multiple Myeloma Research and Treatments (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Fungal Infections and Studies (3 papers), Viral-associated cancers and disorders (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Oncology (747 citations), Cancer Research (344 citations), Hepatology (170 citations), Hematology (146 citations) and Molecular Biology (699 citations). Patrick Chu has collaborated with scholars based in United Kingdom, China and Hong Kong. Frequent co-authors include David W. Ho, Wan Ching Yu, Ronnie T. P. Poon, Chi Tat Lam, Michael Ng, Chi Keung Marco Lau, Sheung Tat Fan, Zhen Fan Yang, William M.W. Cheung and Nancy Yuk-Yu Ip. Their work appears in journals such as Bone Marrow Transplantation, British Journal of Haematology, Health Technology Assessment, Drugs of today and Leukemia.
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.