Lan Shen
Impact in
- Drug Discovery top 1%
- Pharmaceutical Science top 0.5%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
Papers in
-
- Drug Solubulity and Delivery Systems 30
- Advanced Drug Delivery Systems 28
-
- Traditional Chinese Medicine Analysis 32
- Traditional Chinese Medicine Studies 11
- Medical Research and Treatments 7
- Co-authors
- Yanlong Hong (52 shared papers)Chuan‐He Tang (4 shared papers)Yi Feng (50 shared papers)Xiao Lin (48 shared papers)Fei Wu (24 shared papers)Xiao Lin (27 shared papers)Lijie Zhao (31 shared papers)XU De-sheng (18 shared papers)
- Journals
- International Journal of Pharmaceutics (9 papers)International Journal of Biological Macromolecules (7 papers)RSC Advances (7 papers)Drug Delivery (5 papers)AAPS PharmSciTech (5 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Lan Shen
171 papers receiving 4k citations
Peers
Comparison fields: 5 of 135
- Drug Discovery 29
- Pharmaceutical Science 627
- Molecular Medicine 269
- Food Science 774
- Complementary and alternative medicine 367
Countries citing papers authored by Lan Shen
This map shows the geographic impact of Lan Shen'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 Lan Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Shen more than expected).
Fields of papers citing papers by Lan Shen
This network shows the impact of papers produced by Lan Shen. 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 Lan Shen. The network helps show where Lan Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Shen, 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 191 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 270 | |
| 2 | 2020 | 245 | |
| 3 | 2021 | 145 | |
| 4 | 2016 | 138 | |
| 5 | 2014 | 131 | |
| 6 | 2017 | 121 | |
| 7 | 2017 | 108 | |
| 8 | 2013 | 105 | |
| 9 | 2018 | 84 | |
| 10 | 2014 | 72 | |
| 11 | A multi-omics-based serial deep learning approach to predict clinical outcomes of single-agent anti-PD-1/PD-L1 immunotherapy in advanced stage non-small-cell lung cancer. | 2021 | 70 |
| 12 | 2021 | 66 | |
| 13 | 2017 | 64 | |
| 14 | 2021 | 64 | |
| 15 | 2018 | 63 | |
| 16 | 2018 | 59 | |
| 17 | 2021 | 59 | |
| 18 | 2022 | 57 | |
| 19 | 2013 | 55 | |
| 20 | 2017 | 53 |
About Lan Shen
Lan Shen is a scholar working on Pharmaceutical Science, Complementary and alternative medicine, Computational Mechanics, Food Science and Biomaterials, having authored 191 papers that have together received 4.1k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (34 papers), Traditional Chinese Medicine Analysis (32 papers), Drug Solubulity and Delivery Systems (30 papers), Advanced Drug Delivery Systems (28 papers), Traditional Chinese Medicine Studies (11 papers), Nanoparticle-Based Drug Delivery (8 papers), Hydrogels: synthesis, properties, applications (7 papers) and Medical Research and Treatments (7 papers). The work is most often cited by research in Drug Discovery (29 citations), Pharmaceutical Science (627 citations), Molecular Medicine (269 citations), Food Science (774 citations) and Complementary and alternative medicine (367 citations). Lan Shen has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Yanlong Hong, Chuan‐He Tang, Yi Feng, Xiao Lin, Fei Wu, Xiao Lin, Lijie Zhao, XU De-sheng, Shun Lü and Zhe Li. Their work appears in journals such as International Journal of Pharmaceutics, International Journal of Biological Macromolecules, RSC Advances, Drug Delivery and AAPS PharmSciTech.
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.