Yan Zuo
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- Molecular Medicine top 10%
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 9
- Wnt/β-catenin signaling in development and cancer 3
- TGF-β signaling in diseases 3
- Melanoma and MAPK Pathways 3
- Oncology 8
- Cancer Cells and Metastasis 3
- Co-authors
- Jeffrey A. Frost (14 shared papers)Wonkyung Oh (6 shared papers)Arzu Ulu (5 shared papers)Jeffrey T. Chang (2 shared papers)Heather S. Carr (2 shared papers)Zhongxin Wang (7 shared papers)Zhi Tan (1 shared paper)Xiaoling Chen (1 shared paper)
- Journals
- Journal of Medical Internet Research (4 papers)Journal of Medical Virology (3 papers)BMJ Open (2 papers)Molecular and Cellular Biology (2 papers)Journal of Cell Science (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yan Zuo
49 papers receiving 904 citations
Peers
Comparison fields: 5 of 101
- Cancer Research 181
- Molecular Medicine 35
- Molecular Biology 436
- Oncology 140
- Cell Biology 84
Countries citing papers authored by Yan Zuo
This map shows the geographic impact of Yan Zuo'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 Yan Zuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Zuo more than expected).
Fields of papers citing papers by Yan Zuo
This network shows the impact of papers produced by Yan Zuo. 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 Yan Zuo. The network helps show where Yan Zuo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Zuo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 130 | |
| 2 | 2010 | 68 | |
| 3 | 2013 | 47 | |
| 4 | 2017 | 47 | |
| 5 | 2020 | 44 | |
| 6 | 2017 | 39 | |
| 7 | 2024 | 34 | |
| 8 | 2015 | 32 | |
| 9 | 2020 | 32 | |
| 10 | 2011 | 29 | |
| 11 | 2020 | 27 | |
| 12 | 2012 | 26 | |
| 13 | 2018 | 25 | |
| 14 | 2014 | 23 | |
| 15 | 2018 | 21 | |
| 16 | 2022 | 21 | |
| 17 | 2021 | 20 | |
| 18 | 2020 | 20 | |
| 19 | 2021 | 19 | |
| 20 | 2022 | 14 |
About Yan Zuo
Yan Zuo is a scholar working on Molecular Biology, Oncology, Cell Biology, Epidemiology and Molecular Medicine, having authored 52 papers that have together received 910 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (9 papers), Antibiotic Resistance in Bacteria (4 papers), Cancer Cells and Metastasis (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), TGF-β signaling in diseases (3 papers), Melanoma and MAPK Pathways (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Cancer Research (181 citations), Molecular Medicine (35 citations), Molecular Biology (436 citations), Oncology (140 citations) and Cell Biology (84 citations). Yan Zuo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jeffrey A. Frost, Wonkyung Oh, Arzu Ulu, Jeffrey T. Chang, Heather S. Carr, Zhongxin Wang, Zhi Tan, Xiaoling Chen, Weina Zhao and Yuanhong Xu. Their work appears in journals such as Journal of Medical Internet Research, Journal of Medical Virology, BMJ Open, Molecular and Cellular Biology and Journal of Cell Science.
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.