Xiaofei Wang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- Extracellular vesicles in disease
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- RNA modifications and cancer 7
- Epigenetics and DNA Methylation 5
- RNA Research and Splicing 4
- Circular RNAs in diseases 3
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- MicroRNA in disease regulation 9
- Cancer-related molecular mechanisms research 4
- Co-authors
- Chen Huang (22 shared papers)Bo Guo (7 shared papers)Dongdong Tong (11 shared papers)Tusheng Song (3 shared papers)Jiyu Miao (7 shared papers)Lei Ni (8 shared papers)Liying Liu (5 shared papers)Lingyu Zhao (6 shared papers)
- Journals
- Scientific Reports (3 papers)Cell Cycle (2 papers)Oncotarget (2 papers)Oncogenesis (2 papers)Life Sciences (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xiaofei Wang
36 papers receiving 549 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 204
- Molecular Biology 308
- Automotive Engineering 27
- Oncology 53
- Cell Biology 29
Countries citing papers authored by Xiaofei Wang
This map shows the geographic impact of Xiaofei 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 Xiaofei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofei Wang more than expected).
Fields of papers citing papers by Xiaofei Wang
This network shows the impact of papers produced by Xiaofei 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 Xiaofei Wang. The network helps show where Xiaofei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofei 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 65 | |
| 2 | 2014 | 44 | |
| 3 | 2017 | 37 | |
| 4 | 2020 | 37 | |
| 5 | 2017 | 35 | |
| 6 | 2020 | 31 | |
| 7 | 2021 | 31 | |
| 8 | 2020 | 27 | |
| 9 | 2021 | 26 | |
| 10 | 2015 | 26 | |
| 11 | 2019 | 22 | |
| 12 | 2022 | 22 | |
| 13 | 2022 | 19 | |
| 14 | 2019 | 17 | |
| 15 | 2019 | 13 | |
| 16 | 2020 | 12 | |
| 17 | 2020 | 12 | |
| 18 | 2019 | 11 | |
| 19 | 2024 | 9 | |
| 20 | 2021 | 8 |
About Xiaofei Wang
Xiaofei Wang is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Genetics and Immunology, having authored 42 papers that have together received 555 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), RNA modifications and cancer (7 papers), Epigenetics and DNA Methylation (5 papers), RNA Research and Splicing (4 papers), Cancer-related molecular mechanisms research (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Ferroptosis and cancer prognosis (4 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (204 citations), Molecular Biology (308 citations), Automotive Engineering (27 citations), Oncology (53 citations) and Cell Biology (29 citations). Xiaofei Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Chen Huang, Bo Guo, Dongdong Tong, Tusheng Song, Jiyu Miao, Lei Ni, Liying Liu, Lingyu Zhao, Zhenghao Zhao and Juan Yang. Their work appears in journals such as Scientific Reports, Cell Cycle, Oncotarget, Oncogenesis and 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.