Feng Yan
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 10%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Advanced biosensing and bioanalysis techniques
- Epigenetics and DNA Methylation
Papers in
-
- RNA modifications and cancer 16
- RNA Research and Splicing 11
- Circular RNAs in diseases 7
-
- Cancer-related molecular mechanisms research 17
- Cancer, Hypoxia, and Metabolism 8
- MicroRNA in disease regulation 6
- Co-authors
- Huangxian Ju (7 shared papers)Mingchen Zhu (5 shared papers)Li Tang (9 shared papers)Yijun Xu (4 shared papers)Hanxu Ji (1 shared paper)Haifeng Dong (1 shared paper)Lin Ding (1 shared paper)Yun Chen (1 shared paper)
- Journals
- Frontiers in Oncology (4 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Cancer Letters (2 papers)Cancer Science (2 papers)Journal of Cancer (2 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Feng Yan
52 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 98
- Cancer Research 832
- Molecular Biology 1.2k
- Oncology 163
- Immunology 92
- Biomedical Engineering 144
Countries citing papers authored by Feng Yan
This map shows the geographic impact of Feng Yan'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 Feng Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Yan more than expected).
Fields of papers citing papers by Feng Yan
This network shows the impact of papers produced by Feng Yan. 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 Feng Yan. The network helps show where Feng Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Yan, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 188 | |
| 2 | 2017 | 143 | |
| 3 | 2019 | 125 | |
| 4 | 2013 | 95 | |
| 5 | 2015 | 58 | |
| 6 | 2024 | 50 | |
| 7 | 2021 | 50 | |
| 8 | 2021 | 49 | |
| 9 | 2020 | 44 | |
| 10 | 2003 | 40 | |
| 11 | 2016 | 38 | |
| 12 | 2022 | 38 | |
| 13 | 2019 | 38 | |
| 14 | 2019 | 35 | |
| 15 | 2016 | 34 | |
| 16 | 2014 | 31 | |
| 17 | 2012 | 31 | |
| 18 | 2013 | 29 | |
| 19 | 2021 | 27 | |
| 20 | 2019 | 25 |
About Feng Yan
Feng Yan is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Pulmonary and Respiratory Medicine, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (17 papers), RNA modifications and cancer (16 papers), RNA Research and Splicing (11 papers), Cancer, Hypoxia, and Metabolism (8 papers), Circular RNAs in diseases (7 papers), MicroRNA in disease regulation (6 papers), Cancer Cells and Metastasis (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Cancer Research (832 citations), Molecular Biology (1.2k citations), Oncology (163 citations), Immunology (92 citations) and Biomedical Engineering (144 citations). Feng Yan has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Huangxian Ju, Mingchen Zhu, Li Tang, Yijun Xu, Hanxu Ji, Haifeng Dong, Lin Ding, Yun Chen, Da Wei and Dongping Mo. Their work appears in journals such as Frontiers in Oncology, Bioorganic & Medicinal Chemistry Letters, Cancer Letters, Cancer Science and Journal of Cancer.
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.