Hanlu Gao
Impact in
- Pharmaceutical Science top 5%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
Papers in
-
- Drug Solubulity and Delivery Systems 7
-
- Protein purification and stability 2
- Co-authors
- Defang Ouyang (10 shared papers)Zhuyifan Ye (5 shared papers)Wei Wang (3 shared papers)Jie Dong (3 shared papers)Jinzhong Lin (1 shared paper)Wenwen Zheng (2 shared papers)Junjun Li (1 shared paper)Hua Yu (1 shared paper)
- Journals
- Tobacco Induced Diseases (2 papers)Journal of Pharmaceutical Sciences (1 paper)International Health (1 paper)Acta Pharmaceutica Sinica B (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaMacaoUnited Kingdom
In The Last Decade
Hanlu Gao
21 papers receiving 518 citations
Peers
Comparison fields: 5 of 107
- Pharmaceutical Science 97
- Health Informatics 8
- Drug Discovery 1
- Computational Theory and Mathematics 92
- Biomaterials 58
Countries citing papers authored by Hanlu Gao
This map shows the geographic impact of Hanlu 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 Hanlu Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanlu Gao more than expected).
Fields of papers citing papers by Hanlu Gao
This network shows the impact of papers produced by Hanlu 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 Hanlu Gao. The network helps show where Hanlu Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanlu 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 137 | |
| 2 | 2021 | 100 | |
| 3 | 2020 | 50 | |
| 4 | 2021 | 40 | |
| 5 | 2020 | 32 | |
| 6 | 2019 | 28 | |
| 7 | 2021 | 26 | |
| 8 | 2022 | 25 | |
| 9 | 2023 | 15 | |
| 10 | 2020 | 15 | |
| 11 | 2022 | 12 | |
| 12 | 2018 | 10 | |
| 13 | 2017 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2023 | 5 | |
| 16 | [Pre-diabetes mellitus influenced by hyperuricemia]. | 2013 | 5 |
| 17 | 2025 | 4 | |
| 18 | 2020 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2021 | 1 |
About Hanlu Gao
Hanlu Gao is a scholar working on Pharmaceutical Science, Molecular Biology, Oncology, Pathology and Forensic Medicine and Computational Theory and Mathematics, having authored 22 papers that have together received 528 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (7 papers), Computational Drug Discovery Methods (3 papers), Genetic factors in colorectal cancer (2 papers), Analytical Chemistry and Chromatography (2 papers), Protein purification and stability (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Plant-based Medicinal Research (2 papers) and Smoking Behavior and Cessation (1 paper). The work is most often cited by research in Pharmaceutical Science (97 citations), Health Informatics (8 citations), Drug Discovery (1 citation), Computational Theory and Mathematics (92 citations) and Biomaterials (58 citations). Hanlu Gao has collaborated with scholars based in China, Macao and United Kingdom. Frequent co-authors include Defang Ouyang, Zhuyifan Ye, Wei Wang, Jie Dong, Jinzhong Lin, Wenwen Zheng, Junjun Li, Hua Yu, Haifeng Li and Nannan Wang. Their work appears in journals such as Tobacco Induced Diseases, Journal of Pharmaceutical Sciences, International Health, Acta Pharmaceutica Sinica B and International Journal of Biological Macromolecules.
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.