Yu Lian
Impact in
- Pharmaceutical Science top 5%
- Advancements in Transdermal Drug Delivery
- Advanced Drug Delivery Systems
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- RNA Interference and Gene Delivery 4
- Advanced biosensing and bioanalysis techniques 3
-
- Immunotherapy and Immune Responses 2
- Co-authors
- Xiaoying Ying (2 shared papers)Yongzhong Du (2 shared papers)Wei Wei (3 shared papers)Ying-Hui Shan (3 shared papers)Jianqing Gao (3 shared papers)Dan Cui (1 shared paper)Li‐Hua Peng (3 shared papers)Wenquan Liang (2 shared papers)
- Journals
- Drug Delivery (3 papers)New Journal of Chemistry (1 paper)Bioorganic Chemistry (1 paper)Anti-Cancer Drugs (1 paper)Green Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Yu Lian
39 papers receiving 680 citations
Peers
Comparison fields: 5 of 123
- Pharmaceutical Science 121
- Biomaterials 212
- Rehabilitation 68
- Molecular Medicine 26
- Molecular Biology 244
Countries citing papers authored by Yu Lian
This map shows the geographic impact of Yu Lian'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 Lian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Lian more than expected).
Fields of papers citing papers by Yu Lian
This network shows the impact of papers produced by Yu Lian. 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 Lian. The network helps show where Yu Lian may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Lian, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 112 | |
| 2 | 2017 | 95 | |
| 3 | 2011 | 86 | |
| 4 | 2018 | 44 | |
| 5 | 2013 | 43 | |
| 6 | 2019 | 36 | |
| 7 | 2016 | 31 | |
| 8 | 2020 | 26 | |
| 9 | 2018 | 26 | |
| 10 | 2021 | 23 | |
| 11 | 2018 | 17 | |
| 12 | 2017 | 17 | |
| 13 | 2019 | 16 | |
| 14 | 2011 | 12 | |
| 15 | 2017 | 11 | |
| 16 | Effect of nano yam polysaccharide on the blood glucose and blood lipid in rats. | 2020 | 11 |
| 17 | 2015 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2015 | 8 | |
| 20 | 2012 | 8 |
About Yu Lian
Yu Lian is a scholar working on Molecular Biology, Immunology, Biomedical Engineering, Pharmaceutical Science and Biomaterials, having authored 42 papers that have together received 689 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (4 papers), RNA Interference and Gene Delivery (4 papers), Advancements in Transdermal Drug Delivery (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Plasmonic and Surface Plasmon Research (2 papers), Complex Network Analysis Techniques (2 papers), Wound Healing and Treatments (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Pharmaceutical Science (121 citations), Biomaterials (212 citations), Rehabilitation (68 citations), Molecular Medicine (26 citations) and Molecular Biology (244 citations). Yu Lian has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xiaoying Ying, Yongzhong Du, Wei Wei, Ying-Hui Shan, Jianqing Gao, Dan Cui, Li‐Hua Peng, Wenquan Liang, Yang Yang and Qimei Li. Their work appears in journals such as Drug Delivery, New Journal of Chemistry, Bioorganic Chemistry, Anti-Cancer Drugs and Green Chemistry.
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.