Fei-Feng Li
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Connexins and lens biology
- Congenital heart defects research
- Circular RNAs in diseases
Papers in
-
- Cerebrovascular and genetic disorders 4
-
- Congenital heart defects research 6
- Connexins and lens biology 4
- Co-authors
- Shu‐Lin Liu (17 shared papers)Xu Ma (5 shared papers)Meng Zhang (3 shared papers)Shuzhen Wang (3 shared papers)Peng Yan (6 shared papers)Chang Gao (2 shared papers)Yi Hu (1 shared paper)Rui Wang (1 shared paper)
- Journals
- PLoS ONE (6 papers)Oncotarget (3 papers)Aging (2 papers)Frontiers in Oncology (1 paper)Journal of Molecular Neuroscience (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Fei-Feng Li
27 papers receiving 393 citations
Peers
Comparison fields: 5 of 66
- Cancer Research 65
- Molecular Biology 236
- Neurology 29
- Genetics 55
- Rheumatology 27
Countries citing papers authored by Fei-Feng Li
This map shows the geographic impact of Fei-Feng 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 Fei-Feng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei-Feng Li more than expected).
Fields of papers citing papers by Fei-Feng Li
This network shows the impact of papers produced by Fei-Feng 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 Fei-Feng Li. The network helps show where Fei-Feng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei-Feng 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 | 2012 | 62 | |
| 2 | Nonsense mutation in the CRYBB2 gene causing autosomal dominant progressive polymorphic congenital coronary cataracts. | 2008 | 31 |
| 3 | 2011 | 29 | |
| 4 | 2011 | 25 | |
| 5 | 2014 | 22 | |
| 6 | 2012 | 20 | |
| 7 | A new mutation in BFSP2 (G1091A) causes autosomal dominant congenital lamellar cataracts. | 2008 | 20 |
| 8 | 2015 | 17 | |
| 9 | 2015 | 17 | |
| 10 | 2016 | 17 | |
| 11 | 2015 | 16 | |
| 12 | 2010 | 15 | |
| 13 | 2020 | 14 | |
| 14 | 2015 | 14 | |
| 15 | 2020 | 13 | |
| 16 | 2016 | 13 | |
| 17 | 2016 | 11 | |
| 18 | 2015 | 11 | |
| 19 | 2020 | 7 | |
| 20 | 2016 | 6 |
About Fei-Feng Li
Fei-Feng Li is a scholar working on Neurology, Molecular Biology, Oncology, Rheumatology and Pathology and Forensic Medicine, having authored 29 papers that have together received 397 indexed citations. Recurring topics across this work include Congenital heart defects research (6 papers), Cerebrovascular and genetic disorders (4 papers), Connexins and lens biology (4 papers), Moyamoya disease diagnosis and treatment (3 papers), Nonlinear Photonic Systems (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Nonlinear Waves and Solitons (2 papers) and Congenital Heart Disease Studies (2 papers). The work is most often cited by research in Cancer Research (65 citations), Molecular Biology (236 citations), Neurology (29 citations), Genetics (55 citations) and Rheumatology (27 citations). Fei-Feng Li has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Shu‐Lin Liu, Xu Ma, Meng Zhang, Shuzhen Wang, Peng Yan, Chang Gao, Yi Hu, Rui Wang, Hongbin Wang and Hong‐Fei Xia. Their work appears in journals such as PLoS ONE, Oncotarget, Aging, Frontiers in Oncology and Journal of Molecular Neuroscience.
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.