Sun Huimin
Impact in
- Pharmaceutical Science top 5%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
-
- Nanoparticle-Based Drug Delivery
Papers in
-
- Drug Solubulity and Delivery Systems 9
- Co-authors
- Defang Ouyang (2 shared papers)Jie Dong (1 shared paper)Nannan Wang (1 shared paper)Jin Shao-hong (1 shared paper)Yingjie Guo (1 shared paper)Huize Luo (1 shared paper)Ruitao Cha (1 shared paper)Lei Yin (1 shared paper)
- Journals
- Acta Pharmaceutica Sinica B (2 papers)AAPS PharmSciTech (2 papers)Carbohydrate Polymers (2 papers)ACS Omega (2 papers)International Journal of Pharmaceutics (1 paper)
- Partner nations
- ChinaUnited KingdomMacao
In The Last Decade
Sun Huimin
24 papers receiving 299 citations
Sun Huimin's Hit Papers
Peers
Comparison fields: 5 of 94
- Pharmaceutical Science 87
- Biomaterials 69
- Analytical Chemistry 29
- Spectroscopy 33
- Industrial and Manufacturing Engineering 14
Countries citing papers authored by Sun Huimin
This map shows the geographic impact of Sun Huimin'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 Sun Huimin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Huimin more than expected).
Fields of papers citing papers by Sun Huimin
This network shows the impact of papers produced by Sun Huimin. 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 Sun Huimin. The network helps show where Sun Huimin may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun Huimin, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 42 | |
| 2 | 2021 | 37 | |
| 3 | 2021 | 27 | |
| 4 | Application of Density Functional Theory to Molecular Engineering of Pharmaceutical Formulations Hit paper breakdown → | 2025 | 23 |
| 5 | 2020 | 23 | |
| 6 | 2011 | 17 | |
| 7 | 2019 | 16 | |
| 8 | 2019 | 16 | |
| 9 | 2014 | 15 | |
| 10 | 2020 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2024 | 9 | |
| 13 | 2020 | 8 | |
| 14 | 2024 | 8 | |
| 15 | 2018 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2019 | 3 | |
| 20 | 2024 | 2 |
About Sun Huimin
Sun Huimin is a scholar working on Pharmaceutical Science, Molecular Biology, Analytical Chemistry, Biomedical Engineering and Materials Chemistry, having authored 25 papers that have together received 304 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (9 papers), Analytical Chemistry and Chromatography (4 papers), Crystallization and Solubility Studies (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Computational Drug Discovery Methods (2 papers) and Polysaccharides Composition and Applications (2 papers). The work is most often cited by research in Pharmaceutical Science (87 citations), Biomaterials (69 citations), Analytical Chemistry (29 citations), Spectroscopy (33 citations) and Industrial and Manufacturing Engineering (14 citations). Sun Huimin has collaborated with scholars based in China, United Kingdom and Macao. Frequent co-authors include Defang Ouyang, Jie Dong, Nannan Wang, Jin Shao-hong, Yingjie Guo, Huize Luo, Ruitao Cha, Lei Yin, Lu Han and Tingting Wang. Their work appears in journals such as Acta Pharmaceutica Sinica B, AAPS PharmSciTech, Carbohydrate Polymers, ACS Omega and International Journal of Pharmaceutics.
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.