Wei Qu
Impact in
- Microbiology top 10%
- Microbial infections and disease research
- Antimicrobial Peptides and Activities
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in ⓘ
-
- Antibiotic Resistance in Bacteria 4
- Pharmacology 11
- Antibiotics Pharmacokinetics and Efficacy 11
- Co-authors
- Zhenli Liu (15 shared papers)Yuanhu Pan (11 shared papers)Yanfei Tao (6 shared papers)Shuyu Xie (18 shared papers)Dongmei Chen (13 shared papers)Kaixiang Zhou (4 shared papers)Shuyu Xie (3 shared papers)Lingli Huang (16 shared papers)
- Journals
- Frontiers in Veterinary Science (2 papers)Journal of Veterinary Science (2 papers)Food Analytical Methods (2 papers)Journal of Separation Science (2 papers)Microbial Pathogenesis (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Wei Qu
25 papers receiving 374 citations
Peers
Comparison fields: 5 of 86
- Microbiology 58
- Molecular Medicine 39
- Pharmaceutical Science 44
- Analytical Chemistry 36
- Animal Science and Zoology 32
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 117 | |
| 2 | 2017 | 28 | |
| 3 | 2016 | 28 | |
| 4 | 2003 | 27 | |
| 5 | 2020 | 23 | |
| 6 | 2019 | 22 | |
| 7 | 2019 | 21 | |
| 8 | 2017 | 18 | |
| 9 | 2019 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2016 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2016 | 6 | |
| 14 | 2016 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2021 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2018 | 2 |
About Wei Qu
Wei Qu is a scholar working on Molecular Medicine, Pharmacology, Microbiology, Complementary and alternative medicine and Complementary and Manual Therapy, having authored 28 papers that have together received 376 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (11 papers), Synthesis and Biological Evaluation (7 papers), Antibiotic Resistance in Bacteria (4 papers), Pesticide Residue Analysis and Safety (3 papers), Veterinary medicine and infectious diseases (3 papers), Streptococcal Infections and Treatments (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Microbial infections and disease research (3 papers). The work is most often cited by research in Microbiology (58 citations), Molecular Medicine (39 citations), Pharmaceutical Science (44 citations), Analytical Chemistry (36 citations) and Animal Science and Zoology (32 citations). Wei Qu has collaborated with scholars based in China and United States. Frequent co-authors include Zhenli Liu, Yuanhu Pan, Yanfei Tao, Shuyu Xie, Dongmei Chen, Kaixiang Zhou, Shuyu Xie, Lingli Huang, Dongmei Chen and Xiaofang Wang. Their work appears in journals such as Frontiers in Veterinary Science, Journal of Veterinary Science, Food Analytical Methods, Journal of Separation Science and Microbial Pathogenesis.
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.