Quan‐Bin Han
- Pharmacology top 0.1%
- Plant-based Medicinal Research 38
-
- Traditional Chinese Medicine Analysis 29
- Pharmacology top 0.5%
- Plant-based Medicinal Research 38
- Plant Science top 0.5%
- Phytochemistry and Biological Activities 40
- Natural Compound Pharmacology Studies 25
- Molecular Biology top 1%
- Bioactive Natural Diterpenoids Research 52
- Biological Activity of Diterpenoids and Biflavonoids 34
- Natural product bioactivities and synthesis 32
-
- Chromatography in Natural Products 23
Quan‐Bin Han
231 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Pharmacology 1.4k
- Complementary and alternative medicine 1.2k
- Pharmacology 1.6k
- Plant Science 2.7k
- Molecular Biology 4.4k
Countries citing papers authored by Quan‐Bin Han
This map shows the geographic impact of Quan‐Bin Han'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 Quan‐Bin Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quan‐Bin Han more than expected).
Fields of papers citing papers by Quan‐Bin Han
This network shows the impact of papers produced by Quan‐Bin Han. 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 Quan‐Bin Han. The network helps show where Quan‐Bin Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Quan‐Bin Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 10 | |
| 6 | 2021 | 48 | |
| 7 | 2021 | 8 | |
| 8 | 2019 | 129 | |
| 9 | 2019 | 46 | |
| 10 | 2018 | 38 | |
| 11 | 2017 | 13 | |
| 12 | 2015 | 136 | |
| 13 | 2015 | 44 | |
| 14 | 2014 | 32 | |
| 15 | 2011 | 73 | |
| 16 | 2009 | 95 | |
| 17 | SIMULTANEOUS HPLC-DAD ANALYSIS OF FOUR METHYLATED FLAVONOLS IN AMOMUM KOENIGII | 2007 | 2 |
| 18 | HPLC determination of two bioactive flavone glycosides and GC-MS analysis of volatile oil constituents in Alpinia nigra | 2007 | 11 |
| 19 | ent-kaurene diterpenoids from Isodon adenanthus | 2003 | 3 |
| 20 | 2002 | 27 |
About Quan‐Bin Han
Quan‐Bin Han is a scholar working on Pharmacology, Complementary and alternative medicine and Pharmacology, having authored 236 papers that have together received 7.6k indexed citations. Recurring topics across this work include Bioactive Natural Diterpenoids Research (52 papers), Phytochemistry and Biological Activities (40 papers), Plant-based Medicinal Research (38 papers), Biological Activity of Diterpenoids and Biflavonoids (34 papers), Natural product bioactivities and synthesis (32 papers), Traditional Chinese Medicine Analysis (29 papers), Natural Compound Pharmacology Studies (25 papers) and Chromatography in Natural Products (23 papers). The work is most often cited by research in Pharmacology (1.4k citations), Complementary and alternative medicine (1.2k citations) and Pharmacology (1.6k citations). Quan‐Bin Han has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Hong‐Xi Xu, Han‐Dong Sun, Chun‐Feng Qiao, Jing‐Zheng Song, Sheng‐Xiong Huang, Dik‐Lung Ma, Chung‐Hang Leung, Kathy K. W. Au-Yeung, Joshua Ka-Shun Ko and Jun Xu. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Molecules, Journal of Natural Products, Journal of Separation Science and Journal of Agricultural and Food 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.