Wei Qu
Impact in
- Pharmacology top 0.2%
- Cholinesterase and Neurodegenerative Diseases
- Biochemistry top 0.5%
- Eicosanoids and Hypertension Pharmacology
Papers in
- Pharmacology 33
- Cholinesterase and Neurodegenerative Diseases 11
- Pharmacogenetics and Drug Metabolism 10
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- Natural product bioactivities and synthesis 21
- Phytochemical compounds biological activities 16
- Advanced biosensing and bioanalysis techniques 16
- RNA Interference and Gene Delivery 13
- Co-authors
- Feng Feng (69 shared papers)Michael P. Waalkes (20 shared papers)Wenyuan Liu (70 shared papers)Haopeng Sun (23 shared papers)Jian Xu (30 shared papers)Jingbo Pi (5 shared papers)Jingyu Liang (25 shared papers)Siyu He (7 shared papers)
- Journals
- Chinese Journal of Natural Medicines (16 papers)Journal of Ethnopharmacology (7 papers)Chemistry & Biodiversity (6 papers)European Journal of Medicinal Chemistry (5 papers)Chinese Chemical Letters (5 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wei Qu
257 papers receiving 8.0k citations
Peers
Comparison fields: 5 of 153
- Pharmacology 772
- Biochemistry 653
- Pharmacology 928
- Molecular Biology 3.5k
- Health, Toxicology and Mutagenesis 646
Countries citing papers authored by Wei Qu
This map shows the geographic impact of Wei Qu'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 Wei Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Qu more than expected).
Fields of papers citing papers by Wei Qu
This network shows the impact of papers produced by Wei Qu. 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 Wei Qu. The network helps show where Wei Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Qu, 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 261 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 386 | |
| 2 | 2019 | 237 | |
| 3 | 2013 | 205 | |
| 4 | 2020 | 204 | |
| 5 | 2003 | 204 | |
| 6 | 2007 | 188 | |
| 7 | 2018 | 186 | |
| 8 | 2015 | 157 | |
| 9 | 2008 | 157 | |
| 10 | 2012 | 114 | |
| 11 | 2014 | 112 | |
| 12 | 2014 | 112 | |
| 13 | 2006 | 107 | |
| 14 | 2018 | 102 | |
| 15 | 2021 | 98 | |
| 16 | 2013 | 98 | |
| 17 | 1999 | 96 | |
| 18 | 2020 | 95 | |
| 19 | 2019 | 91 | |
| 20 | 1999 | 91 |
About Wei Qu
Wei Qu is a scholar working on Pharmacology, Molecular Biology, Pharmacology, Biochemistry and Cancer Research, having authored 261 papers that have together received 8.1k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (21 papers), Phytochemical compounds biological activities (16 papers), Advanced biosensing and bioanalysis techniques (16 papers), Nanoplatforms for cancer theranostics (16 papers), Phytochemistry and Biological Activities (14 papers), RNA Interference and Gene Delivery (13 papers), Cholinesterase and Neurodegenerative Diseases (11 papers) and Pharmacogenetics and Drug Metabolism (10 papers). The work is most often cited by research in Pharmacology (772 citations), Biochemistry (653 citations), Pharmacology (928 citations), Molecular Biology (3.5k citations) and Health, Toxicology and Mutagenesis (646 citations). Wei Qu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Feng Feng, Michael P. Waalkes, Wenyuan Liu, Haopeng Sun, Jian Xu, Jingbo Pi, Jingyu Liang, Siyu He, M Takiguchi and William E. Achanzar. Their work appears in journals such as Chinese Journal of Natural Medicines, Journal of Ethnopharmacology, Chemistry & Biodiversity, European Journal of Medicinal Chemistry and Chinese Chemical Letters.
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.