PuiYee Chan
- Molecular Biology
- Cell Biology top 2%
- Oncology
- Radiology, Nuclear Medicine and Imaging
- Pulmonary and Respiratory Medicine
- Co-authors
- Michael DeRanXu WuGregory G. TallMeital GabayForrest A. WrightGopala K. JarugumilliXuelian LuoBaohui Zheng
- Topics
- Hippo pathway signaling and YAP/TAZ (3 papers)Protein Kinase Regulation and GTPase Signaling (2 papers)Receptor Mechanisms and Signaling (2 papers)
- Cited by
- Cell BiologyHealth InformaticsAging
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- United StatesSingaporeChina
In The Last Decade
PuiYee Chan
11 papers receiving 986 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Molecular Biology 550
- Cell Biology 523
- Oncology 88
- Radiology, Nuclear Medicine and Imaging 86
- Pulmonary and Respiratory Medicine 81
Countries citing papers authored by PuiYee Chan
This map shows the geographic impact of PuiYee Chan'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 PuiYee Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites PuiYee Chan more than expected).
Fields of papers citing papers by PuiYee Chan
This network shows the impact of papers produced by PuiYee Chan. 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 PuiYee Chan. The network helps show where PuiYee Chan may publish in the future.
Co-authorship network of co-authors of PuiYee Chan
This figure shows the co-authorship network connecting the top 25 collaborators of PuiYee Chan. A scholar is included among the top collaborators of PuiYee Chan 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 PuiYee Chan. PuiYee Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomographybreakdown → | 114 |
| 2 | 4 | |
| 3 | 120 | |
| 4 | 12 | |
| 5 | 222 | |
| 6 | 251 | |
| 7 | 57 | |
| 8 | 53 | |
| 9 | 91 | |
| 10 | 53 | |
| 11 | 21 |
About PuiYee Chan
PuiYee Chan is a scholar working on Cell Biology, Biochemistry and Molecular Biology, having authored 11 papers that have together received 998 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cell Biology (523 citations), Health Informatics (23 citations) and Aging (16 citations). PuiYee Chan has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Michael DeRan, Xu Wu, Gregory G. Tall, Meital Gabay, Forrest A. Wright, Gopala K. Jarugumilli, Xuelian Luo, Baohui Zheng, Xiao Han and Jianzhong Yu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.