Fengping Yao
Impact in
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
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- Ferroptosis and cancer prognosis
Papers in
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- Nonlinear Waves and Solitons 5
- Model Reduction and Neural Networks 1
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- Ferroptosis and cancer prognosis 3
- Co-authors
- Yongfei Yang (4 shared papers)Meiying Luo (3 shared papers)Kexin Zhang (2 shared papers)Bingyu Cai (1 shared paper)Jun Zhang (1 shared paper)Tongtong Gao (1 shared paper)Wei Chen (1 shared paper)Zengqiang Yuan (1 shared paper)
- Journals
- Zeitschrift für angewandte Mathematik und Physik (2 papers)Nature Communications (1 paper)Molecular Carcinogenesis (1 paper)Fractals (1 paper)Cellular Signalling (1 paper)
- Partner nations
- ChinaUnited StatesAzerbaijan
In The Last Decade
Fengping Yao
6 papers receiving 594 citations
Fengping Yao's Hit Papers
Peers
Comparison fields: 5 of 67
- Cancer Research 271
- Pulmonary and Respiratory Medicine 404
- Molecular Biology 329
- Nutrition and Dietetics 43
- Hematology 29
Countries citing papers authored by Fengping Yao
This map shows the geographic impact of Fengping Yao'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 Fengping Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengping Yao more than expected).
Fields of papers citing papers by Fengping Yao
This network shows the impact of papers produced by Fengping Yao. 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 Fengping Yao. The network helps show where Fengping Yao may publish in the future.
Co-authors
The 19 scholars most cited alongside Fengping Yao, 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 | Nedd4 ubiquitylates VDAC2/3 to suppress erastin-induced ferroptosis in melanoma Hit paper breakdown → | 2020 | 362 |
| 2 | 2020 | 144 | |
| 3 | 2021 | 61 | |
| 4 | 2019 | 25 | |
| 5 | 2026 | 2 | |
| 6 | 2026 | 1 | |
| 7 | 2026 | 0 | |
| 8 | 2026 | 0 | |
| 9 | 2026 | 0 | |
| 10 | 2026 | 0 |
About Fengping Yao
Fengping Yao is a scholar working on Statistical and Nonlinear Physics, Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology and Cancer Research, having authored 10 papers that have together received 595 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (5 papers), Ferroptosis and cancer prognosis (3 papers), Autophagy in Disease and Therapy (2 papers), Cancer, Lipids, and Metabolism (2 papers), Ubiquitin and proteasome pathways (1 paper), Trace Elements in Health (1 paper), Model Reduction and Neural Networks (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Cancer Research (271 citations), Pulmonary and Respiratory Medicine (404 citations), Molecular Biology (329 citations), Nutrition and Dietetics (43 citations) and Hematology (29 citations). Fengping Yao has collaborated with scholars based in China, United States and Azerbaijan. Frequent co-authors include Yongfei Yang, Meiying Luo, Kexin Zhang, Bingyu Cai, Jun Zhang, Tongtong Gao, Wei Chen, Zengqiang Yuan, Shukun Wang and Zhuchun Bei. Their work appears in journals such as Zeitschrift für angewandte Mathematik und Physik, Nature Communications, Molecular Carcinogenesis, Fractals and Cellular Signalling.
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.