Pam Cheung

1.5k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Pam Cheung is a scholar working on Molecular Biology, Immunology and Immunology and Allergy. According to data from OpenAlex, Pam Cheung has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Immunology and 3 papers in Immunology and Allergy. Recurrent topics in Pam Cheung's work include Glycosylation and Glycoproteins Research (6 papers), Galectins and Cancer Biology (6 papers) and Cell Adhesion Molecules Research (3 papers). Pam Cheung is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Galectins and Cancer Biology (6 papers) and Cell Adhesion Molecules Research (3 papers). Pam Cheung collaborates with scholars based in Canada, United States and Italy. Pam Cheung's co-authors include James W. Dennis, Emily A. Partridge, Judy Pawling, Ivan R. Nabi, Jeffrey L. Wrana, Maria Granovsky, Christine Le Roy, Gianni M. Di Guglielmo, James Dennis and Avraham Raz and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Molecular and Cellular Biology.

In The Last Decade

Pam Cheung

9 papers receiving 1.1k citations

Hit Papers

Regulation of Cytokine Receptors by Golgi N-Glycan Proces... 2004 2026 2011 2018 2004 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pam Cheung Canada 8 913 654 213 154 132 9 1.1k
Hua‐Bei Guo United States 20 1.0k 1.1× 528 0.8× 195 0.9× 151 1.0× 203 1.5× 25 1.1k
Donald A. Withers United States 12 636 0.7× 247 0.4× 257 1.2× 87 0.6× 86 0.7× 14 783
Teruo Miyauchi Japan 13 816 0.9× 368 0.6× 150 0.7× 189 1.2× 36 0.3× 17 1.0k
Lisa A. Humphries United States 11 618 0.7× 724 1.1× 135 0.6× 197 1.3× 26 0.2× 12 1.3k
Matti Autero Finland 14 662 0.7× 611 0.9× 99 0.5× 160 1.0× 28 0.2× 22 1.0k
Dwight M. Morrow United States 14 950 1.0× 191 0.3× 180 0.8× 213 1.4× 65 0.5× 33 1.3k
Nicole Comtesse Germany 14 785 0.9× 252 0.4× 75 0.4× 104 0.7× 183 1.4× 20 1.0k
Astrid Clarke United States 11 715 0.8× 234 0.4× 141 0.7× 171 1.1× 21 0.2× 27 1000
Assou El‐Battari France 13 436 0.5× 146 0.2× 138 0.6× 50 0.3× 80 0.6× 20 572
Ramachandran Arudchandran United States 9 475 0.5× 599 0.9× 117 0.5× 71 0.5× 22 0.2× 9 914

Countries citing papers authored by Pam Cheung

Since Specialization
Citations

This map shows the geographic impact of Pam 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 Pam Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pam Cheung more than expected).

Fields of papers citing papers by Pam Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pam 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 Pam Cheung. The network helps show where Pam Cheung may publish in the future.

Co-authorship network of co-authors of Pam Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Pam Cheung. A scholar is included among the top collaborators of Pam 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 Pam Cheung. Pam Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Mendelsohn, Richard, Pam Cheung, Lloyd Berger, et al.. (2007). Complex N -Glycan and Metabolic Control in Tumor Cells. Cancer Research. 67(20). 9771–9780. 45 indexed citations
2.
Cheung, Pam & James W. Dennis. (2007). Mgat5 and Pten interact to regulate cell growth and polarity. Glycobiology. 17(7). 767–773. 32 indexed citations
3.
Cheung, Pam, Judy Pawling, Emily A. Partridge, et al.. (2007). Metabolic homeostasis and tissue renewal are dependent on β1,6GlcNAc-branched N-glycans. Glycobiology. 17(8). 828–837. 44 indexed citations
4.
Partridge, Emily A., Pam Cheung, & James W. Dennis. (2006). Cytokine Sensitivity and N‐Glycan Processing Mutations. Methods in enzymology on CD-ROM/Methods in enzymology. 417. 3–11. 2 indexed citations
5.
Park, Hyun-Joo, Emily A. Partridge, Pam Cheung, et al.. (2006). Chemical Enhancers of Cytokine Signaling that Suppress Microfilament Turnover and Tumor Cell Growth. Cancer Research. 66(7). 3558–3566. 11 indexed citations
6.
Goetz, Jacky G., et al.. (2006). Galectin Binding to Mgat5-Modified N-Glycans Regulates Fibronectin Matrix Remodeling in Tumor Cells. Molecular and Cellular Biology. 26(8). 3181–3193. 163 indexed citations
7.
Leng, Yan, Jinyi Zhang, Karen Badour, et al.. (2005). Abelson-interactor-1 promotes WAVE2 membrane translocation and Abelson-mediated tyrosine phosphorylation required for WAVE2 activation. Proceedings of the National Academy of Sciences. 102(4). 1098–1103. 184 indexed citations
8.
Partridge, Emily A., Christine Le Roy, Gianni M. Di Guglielmo, et al.. (2004). Regulation of Cytokine Receptors by Golgi N-Glycan Processing and Endocytosis. Science. 306(5693). 120–124. 582 indexed citations breakdown →
9.
Dennis, James W., Judy Pawling, Pam Cheung, Emily A. Partridge, & Michael Demetriou. (2002). UDP-N-acetylglucosamine:α-6-d-mannoside β1,6 N-acetylglucosaminyltransferase V (Mgat5) deficient mice. Biochimica et Biophysica Acta (BBA) - General Subjects. 1573(3). 414–422. 79 indexed citations

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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