Samuel Cheung

467 total citations
11 papers, 332 citations indexed

About

Samuel Cheung is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Samuel Cheung has authored 11 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Genetics. Recurrent topics in Samuel Cheung's work include Protein Kinase Regulation and GTPase Signaling (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Autophagy in Disease and Therapy (2 papers). Samuel Cheung is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Autophagy in Disease and Therapy (2 papers). Samuel Cheung collaborates with scholars based in Canada, United States and Australia. Samuel Cheung's co-authors include Aaron J. Marshall, Vincent Duronio, Kewei Ma, Hai Pham, Vladimir Pavlović, Hanne L. Ostergaard, Monther Al‐Alwan, Hongzhao Li, Sen Hou and Tingting Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Blood.

In The Last Decade

Samuel Cheung

11 papers receiving 324 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Samuel Cheung Canada 9 162 82 49 47 42 11 332
Paul Fogel France 11 199 1.2× 61 0.7× 20 0.4× 23 0.5× 11 0.3× 27 446
Yé Fan China 7 154 1.0× 45 0.5× 15 0.3× 36 0.8× 38 0.9× 9 293
Tianshu Yang China 12 276 1.7× 52 0.6× 20 0.4× 18 0.4× 8 0.2× 21 437
Patrick Harrington United States 5 170 1.0× 16 0.2× 27 0.6× 19 0.4× 11 0.3× 9 318
Yiran Cai China 7 330 2.0× 30 0.4× 33 0.7× 23 0.5× 5 0.1× 20 506
Joseph W. Carl United States 9 86 0.5× 145 1.8× 21 0.4× 12 0.3× 5 0.1× 20 310
Kevin Tong United States 10 331 2.0× 32 0.4× 50 1.0× 39 0.8× 13 0.3× 17 563
Yidan Zhang China 10 215 1.3× 114 1.4× 25 0.5× 6 0.1× 33 0.8× 45 466
Jeanette Baran‐Gale United States 14 531 3.3× 155 1.9× 27 0.6× 14 0.3× 13 0.3× 16 779
Thomas Menzel Germany 6 253 1.6× 55 0.7× 13 0.3× 45 1.0× 137 3.3× 11 438

Countries citing papers authored by Samuel Cheung

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Samuel Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Cheung. A scholar is included among the top collaborators of Samuel Cheung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel Cheung. Samuel Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Cheung, Samuel, et al.. (2023). Multiplexed Phagosomal Assays for the Detection and Quantification of Bidirectional Exchange Between the Phagolysosomal Lumen and Extracellular Space. Methods in molecular biology. 2692. 171–185. 1 indexed citations
2.
Cheung, Samuel, Corey Arnold, Dale R. Balce, et al.. (2022). Macrophages disseminate pathogen associated molecular patterns through the direct extracellular release of the soluble content of their phagolysosomes. Nature Communications. 13(1). 3072–3072. 27 indexed citations
3.
Johl, Shireenjit, et al.. (2021). Audit firm transparency disclosures and audit quality. International Journal of Auditing. 25(2). 508–533. 15 indexed citations
4.
Pham, Hai, Samuel Cheung, & Vladimir Pavlović. (2017). Speech-Driven 3D Facial Animation with Implicit Emotional Awareness: A Deep Learning Approach. 2328–2336. 53 indexed citations
5.
Cheung, Samuel, et al.. (2016). Simultaneous Analysis of Multiple Lumenal Parameters of Individual Phagosomes Using High-Content Imaging. Methods in molecular biology. 1519. 227–239. 6 indexed citations
6.
Cheung, Samuel & Hanne L. Ostergaard. (2016). Pyk2 Controls Integrin-Dependent CTL Migration through Regulation of De-Adhesion. The Journal of Immunology. 197(5). 1945–1956. 16 indexed citations
7.
Cheung, Samuel, et al.. (2010). Regulation of the Tyrosine Kinase Pyk2 by Calcium Is through Production of Reactive Oxygen Species in Cytotoxic T Lymphocytes. Journal of Biological Chemistry. 285(41). 31174–31184. 22 indexed citations
8.
Zhang, Tingting, Hongzhao Li, Samuel Cheung, et al.. (2009). Phosphoinositide 3‐kinase‐regulated adapters in lymphocyte activation. Immunological Reviews. 232(1). 255–272. 41 indexed citations
9.
10.
Ma, Kewei, Samuel Cheung, Aaron J. Marshall, & Vincent Duronio. (2007). PI(3,4,5)P3 and PI(3,4)P2 levels correlate with PKB/akt phosphorylation at Thr308 and Ser473, respectively; PI(3,4)P2 levels determine PKB activity. Cellular Signalling. 20(4). 684–694. 101 indexed citations
11.

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.

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