Feiya Li
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA Research and Splicing
- RNA modifications and cancer
- RNA Interference and Gene Delivery
- Extracellular vesicles in disease
Papers in
-
- Circular RNAs in diseases 16
- RNA Research and Splicing 10
- Ion channel regulation and function 3
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- MicroRNA in disease regulation 7
- Co-authors
- Burton B. Yang (16 shared papers)Alina T. He (5 shared papers)Jinglei Liu (1 shared paper)Qiwei Yang (5 shared papers)William W. Du (11 shared papers)Nan Wu (10 shared papers)Xiangmin Li (7 shared papers)Faryal Mehwish Awan (6 shared papers)
- Journals
- Molecular Therapy (5 papers)Acta Pharmacologica Sinica (2 papers)Research (2 papers)Signal Transduction and Targeted Therapy (1 paper)Molecular Neurobiology (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Feiya Li
27 papers receiving 1.2k citations
Feiya Li's Hit Papers
Peers
Comparison fields: 5 of 83
- Cancer Research 677
- Molecular Biology 1.0k
- Sensory Systems 58
- Developmental Neuroscience 14
- Neurology 26
Countries citing papers authored by Feiya Li
This map shows the geographic impact of Feiya Li'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 Feiya Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feiya Li more than expected).
Fields of papers citing papers by Feiya Li
This network shows the impact of papers produced by Feiya Li. 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 Feiya Li. The network helps show where Feiya Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Feiya Li, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targeting circular RNAs as a therapeutic approach: current strategies and challenges Hit paper breakdown → | 2021 | 399 |
| 2 | 2021 | 116 | |
| 3 | 2018 | 115 | |
| 4 | 2020 | 92 | |
| 5 | 2020 | 80 | |
| 6 | 2020 | 79 | |
| 7 | 2021 | 60 | |
| 8 | 2017 | 49 | |
| 9 | 2022 | 39 | |
| 10 | 2020 | 39 | |
| 11 | 2014 | 23 | |
| 12 | 2022 | 21 | |
| 13 | 2019 | 19 | |
| 14 | 2022 | 18 | |
| 15 | 2016 | 17 | |
| 16 | 2015 | 14 | |
| 17 | 2018 | 12 | |
| 18 | 2019 | 12 | |
| 19 | 2023 | 10 | |
| 20 | 2022 | 7 |
About Feiya Li
Feiya Li is a scholar working on Molecular Biology, Cancer Research, Pediatrics, Perinatology and Child Health, Surgery and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Circular RNAs in diseases (16 papers), RNA Research and Splicing (10 papers), MicroRNA in disease regulation (7 papers), Neonatal and fetal brain pathology (4 papers), Ion channel regulation and function (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Fatigue and fracture mechanics (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cancer Research (677 citations), Molecular Biology (1.0k citations), Sensory Systems (58 citations), Developmental Neuroscience (14 citations) and Neurology (26 citations). Feiya Li has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Burton B. Yang, Alina T. He, Jinglei Liu, Qiwei Yang, William W. Du, Nan Wu, Xiangmin Li, Faryal Mehwish Awan, Juanjuan Lyu and Weining Yang. Their work appears in journals such as Molecular Therapy, Acta Pharmacologica Sinica, Research, Signal Transduction and Targeted Therapy and Molecular Neurobiology.
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.