Ging Chan
Impact in
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
- Drug Solubulity and Delivery Systems
Papers in
-
- Natural product bioactivities and synthesis 3
- Protein purification and stability 3
- Phytochemical compounds biological activities 3
-
- Computational Drug Discovery Methods 4
- Co-authors
- Hu Y (9 shared papers)Defang Ouyang (7 shared papers)Hao Hu (5 shared papers)Hao Zhong (3 shared papers)Simon Ming‐Yuen Lee (4 shared papers)Carolina Oi Lam Ung (2 shared papers)Jingyi Han (1 shared paper)Lin Zhao (1 shared paper)
In The Last Decade
Ging Chan
28 papers receiving 800 citations
Peers
Comparison fields: 5 of 145
- Pharmaceutical Science 102
- Complementary and alternative medicine 108
- Pharmacology 85
- Industrial and Manufacturing Engineering 82
- Biomaterials 87
Countries citing papers authored by Ging Chan
This map shows the geographic impact of Ging Chan'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 Ging Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ging Chan more than expected).
Fields of papers citing papers by Ging Chan
This network shows the impact of papers produced by Ging Chan. 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 Ging Chan. The network helps show where Ging Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ging Chan, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 219 | |
| 2 | 2018 | 125 | |
| 3 | 2020 | 100 | |
| 4 | 2022 | 52 | |
| 5 | 2021 | 43 | |
| 6 | 2022 | 32 | |
| 7 | 2021 | 26 | |
| 8 | 2020 | 24 | |
| 9 | 2018 | 23 | |
| 10 | 2019 | 21 | |
| 11 | 2022 | 20 | |
| 12 | 2021 | 18 | |
| 13 | 2001 | 18 | |
| 14 | 2020 | 17 | |
| 15 | 2020 | 11 | |
| 16 | 2019 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2019 | 8 | |
| 19 | 2019 | 7 | |
| 20 | 2022 | 6 |
About Ging Chan
Ging Chan is a scholar working on Molecular Biology, Computational Theory and Mathematics, Plant Science, Cognitive Neuroscience and Pharmacology, having authored 28 papers that have together received 815 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Natural product bioactivities and synthesis (3 papers), Protein purification and stability (3 papers), Phytochemical compounds biological activities (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Phytochemistry and Biological Activities (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Catalytic Alkyne Reactions (2 papers). The work is most often cited by research in Pharmaceutical Science (102 citations), Complementary and alternative medicine (108 citations), Pharmacology (85 citations), Industrial and Manufacturing Engineering (82 citations) and Biomaterials (87 citations). Ging Chan has collaborated with scholars based in Macao, China and Australia. Frequent co-authors include Hu Y, Defang Ouyang, Hao Hu, Hao Zhong, Simon Ming‐Yuen Lee, Carolina Oi Lam Ung, Jingyi Han, Lin Zhao, Guiping Fu and Ping Xiong. Their work appears in journals such as Chinese Medicine, Journal of Natural Products, Frontiers in Pharmacology, Chemical Engineering Journal and Molecular 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.