Kevin J. Cheung

5.8k total citations · 4 hit papers
30 papers, 4.2k citations indexed

About

Kevin J. Cheung is a scholar working on Oncology, Cell Biology and Molecular Biology. According to data from OpenAlex, Kevin J. Cheung has authored 30 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 11 papers in Cell Biology and 10 papers in Molecular Biology. Recurrent topics in Kevin J. Cheung's work include Cancer Cells and Metastasis (15 papers), Cellular Mechanics and Interactions (10 papers) and 3D Printing in Biomedical Research (7 papers). Kevin J. Cheung is often cited by papers focused on Cancer Cells and Metastasis (15 papers), Cellular Mechanics and Interactions (10 papers) and 3D Printing in Biomedical Research (7 papers). Kevin J. Cheung collaborates with scholars based in United States, Canada and Poland. Kevin J. Cheung's co-authors include Andrew J. Ewald, Zena Werb, Edward Gabrielson, Xiaolong Yang, Babak Rashidi, Yawei Hao, George M. Church, Douglas W. Selinger, Ryan S. Gray and Eliah R. Shamir and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Kevin J. Cheung

29 papers receiving 4.2k citations

Hit Papers

Tumor Suppressor LATS1 Is a Negative Regulator of Oncogen... 2007 2026 2013 2019 2007 2013 2016 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin J. Cheung United States 22 1.9k 1.6k 1.5k 669 659 30 4.2k
Mads Daugaard Canada 23 2.4k 1.3× 704 0.4× 510 0.3× 510 0.8× 225 0.3× 56 3.5k
Hui Feng China 37 2.8k 1.5× 1.1k 0.7× 773 0.5× 772 1.2× 265 0.4× 173 5.0k
Michael J. Lee United States 35 2.3k 1.2× 828 0.5× 719 0.5× 364 0.5× 499 0.8× 106 4.8k
Stéphane Audebert France 39 2.6k 1.4× 759 0.5× 1.4k 0.9× 480 0.7× 122 0.2× 125 4.8k
Mario Pazzagli Italy 38 2.6k 1.4× 2.0k 1.2× 295 0.2× 1.9k 2.8× 778 1.2× 179 6.0k
Sancy A. Leachman United States 42 2.4k 1.3× 1.8k 1.1× 1.4k 0.9× 609 0.9× 165 0.3× 185 5.3k
Brian B. Tuch United States 19 4.5k 2.4× 814 0.5× 449 0.3× 873 1.3× 231 0.4× 36 6.3k
Hon S. Leong Canada 33 1.6k 0.8× 683 0.4× 394 0.3× 727 1.1× 349 0.5× 85 3.0k
Ping Xu China 36 4.0k 2.1× 807 0.5× 741 0.5× 517 0.8× 101 0.2× 185 5.4k
Pamela Pinzani Italy 35 1.8k 0.9× 1.3k 0.8× 233 0.2× 1.3k 2.0× 275 0.4× 124 3.9k

Countries citing papers authored by Kevin J. Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Kevin J. Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin J. Cheung

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

All Works

20 of 20 papers shown
1.
Cheung, Kevin J., et al.. (2023). A novel approach to mitigate muscle atrophy in Guillain-Barre syndrome. 2(2). 280–280.
2.
Nathanson, David, Michael Detmar, Timothy P. Padera, et al.. (2021). Mechanisms of breast cancer metastasis. Clinical & Experimental Metastasis. 39(1). 117–137. 42 indexed citations
3.
McBirney, Margaux, et al.. (2020). Optimal, Large-Scale Propagation of Mouse Mammary Tumor Organoids. Journal of Mammary Gland Biology and Neoplasia. 25(4). 337–350. 10 indexed citations
4.
Yamamoto, Ami, Yin Huang, Margaux McBirney, et al.. (2020). Regulation of Collective Metastasis by Nanolumenal Signaling. Cell. 183(2). 395–410.e19. 50 indexed citations
5.
Aneja, Kawalpreet K., Sinem Beyhan, Clara E. Cho, et al.. (2020). Emerging Priorities for Microbiome Research. Frontiers in Microbiology. 11. 136–136. 108 indexed citations
6.
Zeraatkar, Dena, Bradley C. Johnston, Jessica Bartoszko, et al.. (2019). Effect of Lower Versus Higher Red Meat Intake on Cardiometabolic and Cancer Outcomes. Annals of Internal Medicine. 2 indexed citations
7.
Zeraatkar, Dena, Kevin J. Cheung, Max Zworth, et al.. (2019). Methods for the Selection of Covariates in Nutritional Epidemiology Studies: A Meta-Epidemiological Review. Current Developments in Nutrition. 3(10). nzz104–nzz104. 21 indexed citations
8.
Zhou, Wei, Kevin J. Cheung, Lynn Wang, et al.. (2018). Activation of orexin system facilitates anesthesia emergence and pain control. Proceedings of the National Academy of Sciences. 115(45). E10740–E10747. 59 indexed citations
9.
Cheung, Kevin J., Veena Padmanaban, Vanesa L. Silvestri, et al.. (2016). Polyclonal breast cancer metastases arise from collective dissemination of keratin 14-expressing tumor cell clusters. Proceedings of the National Academy of Sciences. 113(7). E854–63. 541 indexed citations breakdown →
10.
Cheung, Kevin J. & Andrew J. Ewald. (2016). A collective route to metastasis: Seeding by tumor cell clusters. Science. 352(6282). 167–169. 408 indexed citations breakdown →
11.
Cheung, Kevin J. & Andrew J. Ewald. (2014). Invasive leader cells: metastatic oncotarget. Oncotarget. 5(6). 1390–1391. 9 indexed citations
12.
Shamir, Eliah R., et al.. (2014). 3D Culture Assays of Murine Mammary Branching Morphogenesis and Epithelial Invasion. Methods in molecular biology. 1189. 135–162. 110 indexed citations
13.
Cheung, Kevin J. & Andrew J. Ewald. (2014). Illuminating breast cancer invasion: diverse roles for cell–cell interactions. Current Opinion in Cell Biology. 30. 99–111. 80 indexed citations
14.
Ewald, Andrew J., Robert J. Huebner, Hildur Pálsdóttir, et al.. (2012). Mammary collective cell migration involves transient loss of epithelial features and individual cell migration within the epithelium. Journal of Cell Science. 125(Pt 11). 2638–54. 121 indexed citations
15.
Cheung, Kevin J., Audrey Brenot, Eliah R. Shamir, et al.. (2012). ECM microenvironment regulates collective migration and local dissemination in normal and malignant mammary epithelium. Proceedings of the National Academy of Sciences. 109(39). E2595–604. 350 indexed citations
16.
Gray, Ryan S., Kevin J. Cheung, & Andrew J. Ewald. (2010). Cellular mechanisms regulating epithelial morphogenesis and cancer invasion. Current Opinion in Cell Biology. 22(5). 640–650. 54 indexed citations
17.
Al‐Khyatt, Waleed, et al.. (2010). Primary endocrine therapy for early operable primary breast cancer in elderly women: Survival analysis of a large series from a single institution.. Journal of Clinical Oncology. 28(15_suppl). 573–573. 3 indexed citations
18.
Cheung, Kevin J., Iphigenia Tzameli, Pavlos Pissios, et al.. (2007). Xanthine Oxidoreductase Is a Regulator of Adipogenesis and PPARγ Activity. Cell Metabolism. 5(2). 115–128. 154 indexed citations
19.
Hao, Yawei, et al.. (2007). Tumor Suppressor LATS1 Is a Negative Regulator of Oncogene YAP. Journal of Biological Chemistry. 283(9). 5496–5509. 652 indexed citations breakdown →
20.
Selinger, Douglas W., et al.. (2003). Global RNA Half-Life Analysis inEscherichia coliReveals Positional Patterns of Transcript Degradation. Genome Research. 13(2). 216–223. 276 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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