Chenfeng Wang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
- Circular RNAs in diseases
Papers in
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- RNA modifications and cancer 6
- RNA Research and Splicing 3
- Epigenetics and DNA Methylation 3
- Extracellular vesicles in disease 2
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- Cancer-related molecular mechanisms research 3
- Cancer Genomics and Diagnostics 2
- Co-authors
- Yide Mei (5 shared papers)Yang Yang (3 shared papers)Decai Wang (3 shared papers)Kailiang Zhao (3 shared papers)Guang Zhang (2 shared papers)Xianning Wu (2 shared papers)Mian Wu (1 shared paper)Yang Yang (1 shared paper)
- Journals
- Cell Death and Disease (3 papers)EMBO Reports (2 papers)Frontiers in Genetics (1 paper)Frontiers in Immunology (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Chenfeng Wang
24 papers receiving 419 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 126
- Molecular Biology 237
- Oncology 59
- Neurology 17
- Immunology 37
Countries citing papers authored by Chenfeng Wang
This map shows the geographic impact of Chenfeng Wang'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 Chenfeng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenfeng Wang more than expected).
Fields of papers citing papers by Chenfeng Wang
This network shows the impact of papers produced by Chenfeng Wang. 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 Chenfeng Wang. The network helps show where Chenfeng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenfeng Wang, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 67 | |
| 2 | 2018 | 60 | |
| 3 | 2023 | 44 | |
| 4 | 2021 | 40 | |
| 5 | 2018 | 35 | |
| 6 | 2021 | 26 | |
| 7 | 2025 | 24 | |
| 8 | 2020 | 17 | |
| 9 | 2022 | 15 | |
| 10 | 2021 | 15 | |
| 11 | 2022 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2022 | 12 | |
| 14 | 2020 | 9 | |
| 15 | 2021 | 7 | |
| 16 | Polymorphisms in UGT2B4 and susceptibility to pancreatic cancer. | 2015 | 7 |
| 17 | 2021 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 2 |
About Chenfeng Wang
Chenfeng Wang is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Surgery, having authored 27 papers that have together received 422 indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Ferroptosis and cancer prognosis (3 papers), RNA Research and Splicing (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer Genomics and Diagnostics (2 papers), Cancer-related Molecular Pathways (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Cancer Research (126 citations), Molecular Biology (237 citations), Oncology (59 citations), Neurology (17 citations) and Immunology (37 citations). Chenfeng Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yide Mei, Yang Yang, Decai Wang, Kailiang Zhao, Guang Zhang, Xianning Wu, Mian Wu, Yang Yang, Xiaoling Ma and Ge Shan. Their work appears in journals such as Cell Death and Disease, EMBO Reports, Frontiers in Genetics, Frontiers in Immunology and Frontiers in 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.