Yingfen Wu
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Hepatology top 10%
- Liver physiology and pathology
Papers in
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- RNA modifications and cancer 4
- Ubiquitin and proteasome pathways 1
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- Cancer-related molecular mechanisms research 6
- NF-κB Signaling Pathways 1
- Co-authors
- Guiyuan Li (12 shared papers)Zhaoyang Zeng (11 shared papers)Wei Xiong (10 shared papers)Xiayu Li (7 shared papers)Xiaoling Li (5 shared papers)Chunmei Fan (3 shared papers)Can Guo (10 shared papers)Fang Xiong (8 shared papers)
- Journals
- Journal of Cancer (2 papers)The FASEB Journal (2 papers)Molecular Cancer (2 papers)Cell Death and Disease (2 papers)Cellular and Molecular Life Sciences (1 paper)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Yingfen Wu
12 papers receiving 1.3k citations
Yingfen Wu's Hit Papers
Peers
Comparison fields: 5 of 88
- Cancer Research 565
- Hepatology 91
- Oncology 313
- Molecular Biology 760
- Immunology 154
Countries citing papers authored by Yingfen Wu
This map shows the geographic impact of Yingfen Wu'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 Yingfen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingfen Wu more than expected).
Fields of papers citing papers by Yingfen Wu
This network shows the impact of papers produced by Yingfen Wu. 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 Yingfen Wu. The network helps show where Yingfen Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingfen Wu, 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 | Function of the c-Met receptor tyrosine kinase in carcinogenesis and associated therapeutic opportunities Hit paper breakdown → | 2018 | 446 |
| 2 | 2018 | 316 | |
| 3 | 2016 | 125 | |
| 4 | 2017 | 117 | |
| 5 | 2017 | 74 | |
| 6 | 2018 | 72 | |
| 7 | 2017 | 51 | |
| 8 | 2020 | 39 | |
| 9 | 2020 | 31 | |
| 10 | 2019 | 30 | |
| 11 | 2020 | 27 | |
| 12 | 2019 | 24 |
About Yingfen Wu
Yingfen Wu is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Pathology and Forensic Medicine, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (4 papers), Viral-associated cancers and disorders (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Cancer Mechanisms and Therapy (1 paper), Toxoplasma gondii Research Studies (1 paper), Ubiquitin and proteasome pathways (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Cancer Research (565 citations), Hepatology (91 citations), Oncology (313 citations), Molecular Biology (760 citations) and Immunology (154 citations). Yingfen Wu has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Guiyuan Li, Zhaoyang Zeng, Wei Xiong, Xiayu Li, Xiaoling Li, Chunmei Fan, Can Guo, Fang Xiong, Bo Xiang and Yazhuo Zhang. Their work appears in journals such as Journal of Cancer, The FASEB Journal, Molecular Cancer, Cell Death and Disease and Cellular and Molecular Life 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.