Feima Wu
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Pluripotent Stem Cells Research
- RNA modifications and cancer
- Circular RNAs in diseases
- CRISPR and Genetic Engineering
- RNA Research and Splicing
Papers in
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- Pluripotent Stem Cells Research 9
- CRISPR and Genetic Engineering 5
- Epigenetics and DNA Methylation 3
- RNA Research and Splicing 2
- Surgery 6
- Pancreatic function and diabetes 3
- Co-authors
- Haibo Hu (1 shared paper)Xiaoling Wan (1 shared paper)Yinxiong Li (11 shared papers)Yan Chen (7 shared papers)Kai You (10 shared papers)Fan Yang (5 shared papers)Dongsheng Guo (7 shared papers)Guosheng Xu (5 shared papers)
- Journals
- Stem Cell Research (8 papers)Scientific Reports (2 papers)Stem Cell Research & Therapy (2 papers)Frontiers in Molecular Biosciences (2 papers)Journal of Inflammation Research (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Feima Wu
23 papers receiving 285 citations
Peers
Comparison fields: 5 of 55
- Cancer Research 85
- Molecular Biology 179
- Hepatology 16
- Aging 3
- Developmental Neuroscience 6
Countries citing papers authored by Feima Wu
This map shows the geographic impact of Feima 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 Feima Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feima Wu more than expected).
Fields of papers citing papers by Feima Wu
This network shows the impact of papers produced by Feima 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 Feima Wu. The network helps show where Feima Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Feima 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 78 | |
| 2 | 2020 | 39 | |
| 3 | 2019 | 31 | |
| 4 | 2021 | 15 | |
| 5 | 2017 | 15 | |
| 6 | 2018 | 13 | |
| 7 | 2019 | 12 | |
| 8 | 2017 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2012 | 11 | |
| 11 | 2016 | 11 | |
| 12 | 2022 | 9 | |
| 13 | 2016 | 8 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2025 | 3 | |
| 17 | 2017 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2021 | 1 |
About Feima Wu
Feima Wu is a scholar working on Molecular Biology, Surgery, Cancer Research, Genetics and Hepatology, having authored 24 papers that have together received 288 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), CRISPR and Genetic Engineering (5 papers), Liver physiology and pathology (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (3 papers), Pancreatic function and diabetes (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (85 citations), Molecular Biology (179 citations), Hepatology (16 citations), Aging (3 citations) and Developmental Neuroscience (6 citations). Feima Wu has collaborated with scholars based in China and United States. Frequent co-authors include Haibo Hu, Xiaoling Wan, Yinxiong Li, Yan Chen, Kai You, Fan Yang, Dongsheng Guo, Guosheng Xu, Anteneh Getachew and Yue Xiong. Their work appears in journals such as Stem Cell Research, Scientific Reports, Stem Cell Research & Therapy, Frontiers in Molecular Biosciences and Journal of Inflammation Research.
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.