Yu Gao
Impact in
- Biomaterials top 0.2%
- Nanoparticle-Based Drug Delivery
- Pharmaceutical Science top 1%
- Advanced Drug Delivery Systems
Papers in
-
- RNA Interference and Gene Delivery 20
- Advanced biosensing and bioanalysis techniques 18
- Natural product bioactivities and synthesis 11
-
- Nanoplatforms for cancer theranostics 51
- Co-authors
- Haijun Chen (82 shared papers)Yaping Li (26 shared papers)Zhiwen Zhang (13 shared papers)Jianlin Shi (6 shared papers)Lee Jia (34 shared papers)Lingli Chen (16 shared papers)Qianjun He (5 shared papers)Ziying Li (21 shared papers)
- Journals
- Journal of Controlled Release (7 papers)Biomaterials (6 papers)Chemical Engineering Journal (6 papers)European Journal of Pharmaceutical Sciences (6 papers)Organic Letters (6 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yu Gao
193 papers receiving 6.6k citations
Peers
Comparison fields: 5 of 152
- Biomaterials 2.0k
- Pharmaceutical Science 388
- Biomedical Engineering 2.5k
- Molecular Biology 2.4k
- Molecular Medicine 154
Countries citing papers authored by Yu Gao
This map shows the geographic impact of Yu 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 Yu Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Gao more than expected).
Fields of papers citing papers by Yu Gao
This network shows the impact of papers produced by Yu 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 Yu Gao. The network helps show where Yu Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu 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
Showing the 20 most-cited of 204 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 351 | |
| 2 | 2011 | 347 | |
| 3 | 2014 | 325 | |
| 4 | 2009 | 264 | |
| 5 | 2008 | 246 | |
| 6 | 2011 | 151 | |
| 7 | 2015 | 149 | |
| 8 | 2013 | 147 | |
| 9 | 2020 | 138 | |
| 10 | 2017 | 130 | |
| 11 | 2012 | 129 | |
| 12 | 2015 | 125 | |
| 13 | 2008 | 119 | |
| 14 | 2014 | 117 | |
| 15 | 2020 | 108 | |
| 16 | 2020 | 90 | |
| 17 | 2014 | 89 | |
| 18 | 2019 | 88 | |
| 19 | 2014 | 76 | |
| 20 | 2022 | 76 |
About Yu Gao
Yu Gao is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Organic Chemistry and Biomaterials, having authored 204 papers that have together received 6.7k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (51 papers), Nanoparticle-Based Drug Delivery (33 papers), RNA Interference and Gene Delivery (20 papers), Advanced biosensing and bioanalysis techniques (18 papers), Catalytic C–H Functionalization Methods (16 papers), Photodynamic Therapy Research Studies (15 papers), Natural product bioactivities and synthesis (11 papers) and Advanced Nanomaterials in Catalysis (10 papers). The work is most often cited by research in Biomaterials (2.0k citations), Pharmaceutical Science (388 citations), Biomedical Engineering (2.5k citations), Molecular Biology (2.4k citations) and Molecular Medicine (154 citations). Yu Gao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Haijun Chen, Yaping Li, Zhiwen Zhang, Jianlin Shi, Lee Jia, Lingli Chen, Qianjun He, Ziying Li, Wangwen Gu and Xiufeng Ji. Their work appears in journals such as Journal of Controlled Release, Biomaterials, Chemical Engineering Journal, European Journal of Pharmaceutical Sciences and Organic 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.