PuiYee Chan
Impact in
- Cell Biology top 2%
- Hippo pathway signaling and YAP/TAZ
- Health Informatics top 5%
Papers in
-
- Receptor Mechanisms and Signaling 2
- Wnt/β-catenin signaling in development and cancer 2
- Protein Kinase Regulation and GTPase Signaling 2
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- Hippo pathway signaling and YAP/TAZ 3
- Endoplasmic Reticulum Stress and Disease 1
- Co-authors
- Michael DeRan (3 shared papers)Xu Wu (3 shared papers)Gregory G. Tall (5 shared papers)Meital Gabay (4 shared papers)Forrest A. Wright (3 shared papers)Xuelian Luo (2 shared papers)Gopala K. Jarugumilli (2 shared papers)Duojia Pan (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)Journal of Biological Chemistry (2 papers)Science Signaling (2 papers)Cell Reports (1 paper)Nature Chemical Biology (1 paper)
- Partner nations
- United StatesSingaporeTaiwan
In The Last Decade
PuiYee Chan
13 papers receiving 1.1k citations
PuiYee Chan's Hit Papers
Peers
Comparison fields: 5 of 88
- Cell Biology 535
- Health Informatics 21
- Aging 16
- Molecular Biology 559
- Biochemistry 49
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-authors
The 25 scholars most cited alongside PuiYee Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 255 | |
| 2 | 2016 | 232 | |
| 3 | Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography Hit paper breakdown → | 2023 | 131 |
| 4 | 2020 | 126 | |
| 5 | 2011 | 93 | |
| 6 | 2013 | 58 | |
| 7 | 2010 | 54 | |
| 8 | 2011 | 53 | |
| 9 | 2014 | 50 | |
| 10 | 2005 | 21 | |
| 11 | 2018 | 13 | |
| 12 | 2022 | 4 | |
| 13 | IN VITRO ACTIVITY OF FLUCONAZOLE AND VORICONAZOLE AGAINST INVASIVE CANDIDA ALBICANS ISOLATES IN PATIENTS WITH CANDIDAEMIA FROM 2001–2005 IN HONG KONG | 2006 | 1 |
About PuiYee Chan
PuiYee Chan is a scholar working on Molecular Biology, Cell Biology, Pulmonary and Respiratory Medicine, Pharmacology and Biochemistry, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (3 papers), Receptor Mechanisms and Signaling (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Traditional and Medicinal Uses of Annonaceae (1 paper), Cancer Genomics and Diagnostics (1 paper), Animal Genetics and Reproduction (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Cell Biology (535 citations), Health Informatics (21 citations), Aging (16 citations), Molecular Biology (559 citations) and Biochemistry (49 citations). PuiYee Chan has collaborated with scholars based in United States, Singapore and Taiwan. Frequent co-authors include Michael DeRan, Xu Wu, Gregory G. Tall, Meital Gabay, Forrest A. Wright, Xuelian Luo, Gopala K. Jarugumilli, Duojia Pan, Baohui Zheng and Hua Deng. Their work appears in journals such as Journal of Clinical Oncology, Journal of Biological Chemistry, Science Signaling, Cell Reports and Nature Chemical Biology.
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.