Kevin J. Cheung
- Molecular Biology top 5%
- Oncology top 2%
- Cell Biology top 0.5%
- Cancer Research top 2%
- Biomedical Engineering top 5%
- Co-authors
- Andrew J. EwaldZena WerbEdward GabrielsonXiaolong YangBabak RashidiYawei HaoDouglas W. SelingerGeorge M. Church
- Topics
- Cancer Cells and Metastasis (15 papers)Cellular Mechanics and Interactions (10 papers)3D Printing in Biomedical Research (7 papers)
- Cited by
- Cell BiologyOncologyCancer Research
- Partner nations
- United StatesCanadaPoland
In The Last Decade
Kevin J. Cheung
29 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 1.9k
- Oncology 1.6k
- Cell Biology 1.5k
- Cancer Research 669
- Biomedical Engineering 659
Countries citing papers authored by Kevin J. Cheung
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 42 | |
| 3 | 50 | |
| 4 | 108 | |
| 5 | 10 | |
| 6 | 48 | |
| 7 | 21 | |
| 8 | Effect of Lower Versus Higher Red Meat Intake on Cardiometabolic and Cancer Outcomes | 2 |
| 9 | Polyclonal breast cancer metastases arise from collective dissemination of keratin 14-expressing tumor cell clustersbreakdown → | 541 |
| 10 | 9 | |
| 11 | 80 | |
| 12 | 110 | |
| 13 | Collective Invasion in Breast Cancer Requires a Conserved Basal Epithelial Programbreakdown → | 618 |
| 14 | 121 | |
| 15 | 350 | |
| 16 | 54 | |
| 17 | 154 | |
| 18 | Tumor Suppressor LATS1 Is a Negative Regulator of Oncogene YAPbreakdown → | 652 |
| 19 | 276 | |
| 20 | 135 |
About Kevin J. Cheung
Kevin J. Cheung is a scholar working on Cell Biology, Oncology and Modeling and Simulation, having authored 30 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (15 papers), Cellular Mechanics and Interactions (10 papers) and 3D Printing in Biomedical Research (7 papers). The work is most often cited by research in Cell Biology (1.5k citations), Oncology (1.6k citations) and Cancer Research (669 citations). Kevin J. Cheung has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Andrew J. Ewald, Zena Werb, Edward Gabrielson, Xiaolong Yang, Babak Rashidi, Yawei Hao, Douglas W. Selinger, George M. Church, Ryan S. Gray and Eliah R. Shamir. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.