Feng Gao
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery 27
- Pharmaceutical Science top 1%
- Advanced Drug Delivery Systems 12
- Molecular Medicine top 2%
- Molecular Biology top 5%
- RNA Interference and Gene Delivery 15
- Advanced biosensing and bioanalysis techniques 9
- Biochemistry top 5%
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- Nanoplatforms for cancer theranostics 20
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- Drug Transport and Resistance Mechanisms 11
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- Cancer Research and Treatments 9
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- Molecular Sensors and Ion Detection 9
- Journals
- International Journal of Pharmaceutics (13 papers)International Journal of Nanomedicine (8 papers)Molecular Pharmaceutics (5 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Feng Gao
182 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 148
- Biomaterials 1.0k
- Pharmaceutical Science 390
- Molecular Medicine 174
- Molecular Biology 1.7k
- Biochemistry 175
Countries citing papers authored by Feng Gao
This map shows the geographic impact of Feng Gao'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 Feng Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Gao more than expected).
Fields of papers citing papers by Feng Gao
This network shows the impact of papers produced by Feng Gao. 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 Feng Gao. The network helps show where Feng Gao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Feng Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 13 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 29 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 25 | |
| 10 | 2019 | 14 | |
| 11 | 2019 | 34 | |
| 12 | 2019 | 5 | |
| 13 | 2018 | 33 | |
| 14 | 2016 | 10 | |
| 15 | 2015 | 45 | |
| 16 | Mechanisms of tetrandrine and 5-bromotetrandrine in reversing multidrug resistance may relate to down-regulation of multidrug resistance associated protein 7 expression. | 2012 | 3 |
| 17 | 2009 | 40 | |
| 18 | [Specific killing effects of combination of double suicide gene and survivin antisense oligonucleotide on breast tumor cells and vein endothelial cells]. | 2007 | 1 |
| 19 | 2007 | 10 | |
| 20 | 2003 | 5 |
About Feng Gao
Feng Gao is a scholar working on Biomaterials, Pharmaceutical Science and Biochemistry, having authored 188 papers that have together received 5.1k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (27 papers), Nanoplatforms for cancer theranostics (20 papers), RNA Interference and Gene Delivery (15 papers), Advanced Drug Delivery Systems (12 papers), Drug Transport and Resistance Mechanisms (11 papers), Cancer Research and Treatments (9 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Molecular Sensors and Ion Detection (9 papers). The work is most often cited by research in Biomaterials (1.0k citations), Pharmaceutical Science (390 citations) and Molecular Medicine (174 citations). Feng Gao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Minbo Lan, Rongbao Zhao, I. David Goldman, Huihui Yuan, Yanzuo Chen, Kaiyan Lou, Fen Wang, Jianwen Liu, Zeting Yuan and Muye He. Their work appears in journals such as International Journal of Pharmaceutics, International Journal of Nanomedicine, Molecular Pharmaceutics, Blood and Chinese Chemical Letters.
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.