Fen Yang
Impact in
- Drug Discovery top 5%
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
Papers in
- Biomaterials 16
- Nanoparticle-Based Drug Delivery 14
-
- Tuberculosis Research and Epidemiology 9
- Co-authors
- Jiye Cai (24 shared papers)Hua Jin (25 shared papers)Jiang Pi (32 shared papers)Jinhuan Jiang (14 shared papers)Peihui Yang (10 shared papers)Haihua Bai (8 shared papers)Liqian Gao (11 shared papers)Huaihong Cai (10 shared papers)
- Journals
- Pharmacological Research (3 papers)Stem Cell Research & Therapy (3 papers)Biomaterials (3 papers)Current Medicinal Chemistry (2 papers)Chemistry - A European Journal (2 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Fen Yang
80 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 98
- Drug Discovery 17
- Biomaterials 357
- Physiology 410
- Molecular Medicine 95
- Genetics 115
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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 477 | |
| 2 | 2020 | 160 | |
| 3 | 2016 | 130 | |
| 4 | 2020 | 116 | |
| 5 | 2017 | 96 | |
| 6 | 2017 | 91 | |
| 7 | 2014 | 86 | |
| 8 | 2012 | 82 | |
| 9 | 2011 | 81 | |
| 10 | 2013 | 76 | |
| 11 | 2016 | 68 | |
| 12 | 2022 | 66 | |
| 13 | 2011 | 58 | |
| 14 | 2013 | 58 | |
| 15 | 2021 | 53 | |
| 16 | 2014 | 49 | |
| 17 | 2013 | 46 | |
| 18 | 2014 | 46 | |
| 19 | 2023 | 46 | |
| 20 | 2012 | 44 |
About Fen Yang
Fen Yang is a scholar working on Biomaterials, Infectious Diseases, Pharmacology, Complementary and alternative medicine and Cell Biology, having authored 83 papers that have together received 3k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (14 papers), Tuberculosis Research and Epidemiology (9 papers), Force Microscopy Techniques and Applications (6 papers), Cell death mechanisms and regulation (6 papers), Flavonoids in Medical Research (4 papers), Cellular Mechanics and Interactions (4 papers), Mesenchymal stem cell research (4 papers) and Natural Compounds in Disease Treatment (3 papers). The work is most often cited by research in Drug Discovery (17 citations), Biomaterials (357 citations), Physiology (410 citations), Molecular Medicine (95 citations) and Genetics (115 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, Huaihong Cai, Qicai Xiao and Sally Ann Frautschy. Their work appears in journals such as Pharmacological Research, Stem Cell Research & Therapy, Biomaterials, Current Medicinal Chemistry and Chemistry - A European Journal.
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.