Wei Qu

484 citations
28 papers · 376 indexed · h-index 12

Impact in

  • Microbiology top 10%
    • Microbial infections and disease research
    • Antimicrobial Peptides and Activities
    • Antibiotic Resistance in Bacteria

Papers in

Wei Qu

25 papers receiving 374 citations

Peers

Wei Qu
Comparison fields: 5 of 86
  • Microbiology 58
  • Molecular Medicine 39
  • Pharmaceutical Science 44
  • Analytical Chemistry 36
  • Animal Science and Zoology 32
Replace Jiyue Cao with:
Jiyue Cao China
Xuzheng Zhou China
Kaixiang Zhou China
Dongping Zeng China
Manish Kumar India
Ensieh Lotfali Iran
Jincheng Xiong China
Sukhraj Kaur India
Yanfei Tao China
Urszula Kosikowska Poland
Wei Qu relative to Jiyue Cao China Jiyue Cao's profile →
Citations per field
00.5×3.3×
Jiyue Cao · 1×
Citations per year

Countries citing papers authored by Wei Qu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Wei Qu Line = papers co-authored together Wei Qu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018117
2 201728
3 201628
4 200327
5 202023
6 201922
7 201921
8 201718
9 201917
10 202016
11 201612
12 202111
13 20166
14 20165
15 20225
16 20215
17 20213
18 20203
19 20222
20 20182

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.

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