Samuel Cheung
Impact in
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- Chronic Lymphocytic Leukemia Research
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- Cell Adhesion Molecules Research
Papers in
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- Protein Kinase Regulation and GTPase Signaling 3
- PI3K/AKT/mTOR signaling in cancer 2
- Ubiquitin and proteasome pathways 1
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
- Co-authors
- Aaron J. Marshall (4 shared papers)Kewei Ma (1 shared paper)Vincent Duronio (1 shared paper)Hai Pham (1 shared paper)Vladimir Pavlović (1 shared paper)Hanne L. Ostergaard (2 shared papers)Monther Al‐Alwan (2 shared papers)Sen Hou (2 shared papers)
- Journals
- Cellular Signalling (2 papers)Nature Communications (1 paper)Journal of Biological Chemistry (1 paper)International Journal of Auditing (1 paper)Blood (1 paper)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Samuel Cheung
11 papers receiving 335 citations
Peers
Comparison fields: 5 of 84
- Genetics 43
- Immunology and Allergy 23
- Immunology 82
- Cell Biology 45
- Computer Vision and Pattern Recognition 50
Countries citing papers authored by Samuel Cheung
This map shows the geographic impact of Samuel 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 Samuel Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Cheung more than expected).
Fields of papers citing papers by Samuel Cheung
This network shows the impact of papers produced by Samuel 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 Samuel Cheung. The network helps show where Samuel Cheung may publish in the future.
Co-authors
The 23 scholars most cited alongside Samuel 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 | 2007 | 102 | |
| 2 | 2017 | 54 | |
| 3 | 2009 | 41 | |
| 4 | 2022 | 30 | |
| 5 | 2006 | 27 | |
| 6 | 2009 | 25 | |
| 7 | 2010 | 23 | |
| 8 | 2016 | 17 | |
| 9 | 2021 | 16 | |
| 10 | 2016 | 6 | |
| 11 | 2023 | 1 |
About Samuel Cheung
Samuel Cheung is a scholar working on Molecular Biology, Immunology, Genetics, Epidemiology and Hematology, having authored 11 papers that have together received 342 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Autophagy in Disease and Therapy (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Platelet Disorders and Treatments (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Genetics (43 citations), Immunology and Allergy (23 citations), Immunology (82 citations), Cell Biology (45 citations) and Computer Vision and Pattern Recognition (50 citations). Samuel Cheung has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Aaron J. Marshall, Kewei Ma, Vincent Duronio, Hai Pham, Vladimir Pavlović, Hanne L. Ostergaard, Monther Al‐Alwan, Sen Hou, Hongzhao Li and Tingting Zhang. Their work appears in journals such as Cellular Signalling, Nature Communications, Journal of Biological Chemistry, International Journal of Auditing and Blood.
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.