Fen Yang
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
-
- RNA Interference and Gene Delivery 8
- Lipid Membrane Structure and Behavior 7
- Retinoids in leukemia and cellular processes 5
- Advanced biosensing and bioanalysis techniques 4
- Immunology 14
- Co-authors
- Jiye Cai (24 shared papers)Hua Jin (25 shared papers)Jiang Pi (29 shared papers)Jinhuan Jiang (14 shared papers)Peihui Yang (10 shared papers)Haihua Bai (8 shared papers)Liqian Gao (11 shared papers)Wanshun Li (2 shared papers)
- Journals
- Pharmacological Research (3 papers)Stem Cell Research & Therapy (3 papers)Biomaterials (3 papers)Drug Delivery (2 papers)Journal of Nanobiotechnology (2 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Fen Yang
84 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 125
- Molecular Medicine 147
- Biomaterials 274
- Physiology 443
- Toxicology 60
- Molecular Biology 1.1k
Countries citing papers authored by Fen Yang
This map shows the geographic impact of Fen Yang'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 Fen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fen Yang more than expected).
Fields of papers citing papers by Fen Yang
This network shows the impact of papers produced by Fen Yang. 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 Fen Yang. The network helps show where Fen Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fen Yang, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 469 | |
| 2 | 2020 | 151 | |
| 3 | 2016 | 128 | |
| 4 | 2020 | 108 | |
| 5 | 2017 | 94 | |
| 6 | 2013 | 91 | |
| 7 | 2017 | 89 | |
| 8 | 2012 | 83 | |
| 9 | 2014 | 82 | |
| 10 | 2011 | 76 | |
| 11 | 2013 | 74 | |
| 12 | 2016 | 68 | |
| 13 | 2022 | 60 | |
| 14 | 2011 | 58 | |
| 15 | 2013 | 57 | |
| 16 | 2021 | 52 | |
| 17 | 2012 | 51 | |
| 18 | 2014 | 49 | |
| 19 | 2014 | 47 | |
| 20 | 2013 | 43 |
About Fen Yang
Fen Yang is a scholar working on Molecular Biology, Immunology, Plant Science, Atomic and Molecular Physics, and Optics and Biomedical Engineering, having authored 85 papers that have together received 3.0k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (8 papers), Force Microscopy Techniques and Applications (7 papers), Lipid Membrane Structure and Behavior (7 papers), Retinoids in leukemia and cellular processes (5 papers), Nanoplatforms for cancer theranostics (5 papers), Selenium in Biological Systems (4 papers), Autophagy in Disease and Therapy (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Molecular Medicine (147 citations), Biomaterials (274 citations), Physiology (443 citations), Toxicology (60 citations) and Molecular Biology (1.1k citations). Fen Yang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Jiye Cai, Hua Jin, Jiang Pi, Jinhuan Jiang, Peihui Yang, Haihua Bai, Liqian Gao, Wanshun Li, Huaihong Cai and Dana J. Gant. Their work appears in journals such as Pharmacological Research, Stem Cell Research & Therapy, Biomaterials, Drug Delivery and Journal of Nanobiotechnology.
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.