Qing Wei

1.9k citations
28 papers · 1.5k indexed · h-index 15

Impact in

Papers in

Qing Wei

27 papers receiving 1.4k citations

Peers

Qing Wei
Comparison fields: 5 of 120
  • Molecular Medicine 320
  • Endocrinology 198
  • Microbiology 140
  • Periodontics 67
  • Molecular Biology 941
Replace Josephine R. Chandler with:
Josephine R. Chandler United States
Martina Valentini Switzerland
M. Indriati Hood United States
Bhavjinder K. Dhillon Canada
Steven D. Bowden United Kingdom
Laure Plener France
Jinshui Lin China
María A. Llamas Spain
Emanuela Frangipani Italy
John M. Farrow United States
Qing Wei relative to Josephine R. Chandler United States Josephine R. Chandler's profile →
Citations per field
00.5×1.5×
Josephine R. Chandler · 1×
Citations per year

Countries citing papers authored by Qing Wei

Since Specialization
Citations

This map shows the geographic impact of Qing Wei'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 Qing Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Wei more than expected).

Fields of papers citing papers by Qing Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing Wei. 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 Qing Wei. The network helps show where Qing Wei may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Qing Wei, 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 Qing Wei Line = papers co-authored together Qing Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20242
4 20239
5 202214
6 20223
7 202023
8 201932
9 20198
10 20161
11 201663
12 2015112
13 201486
14 2012171
15
Phenotypic and Genome-Wide Analysis of an Antibiotic-Resistant Small Colony Variant (SCV) of Pseudomonas
20114
16 2011224
17 2011104
18 201116
19 201035
20 200821

About Qing Wei

Qing Wei is a scholar working on Molecular Medicine, Endocrinology, Microbiology, Genetics and Pollution, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (17 papers), Bacterial Genetics and Biotechnology (11 papers), Antibiotic Resistance in Bacteria (6 papers), Microbial Fuel Cells and Bioremediation (4 papers), Microbial bioremediation and biosurfactants (4 papers), Antimicrobial Peptides and Activities (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Molecular Medicine (320 citations), Endocrinology (198 citations), Microbiology (140 citations), Periodontics (67 citations) and Molecular Biology (941 citations). Qing Wei has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Z. Luyan, Pierre Cornélis, Simon C. Andrews, Ameer Elfarash, Shan Yu, Sandra Matthijs, Yuanhong Wang, Susanne Häußler, Andreas Dötsch and Yilin Gu. Their work appears in journals such as Applied and Environmental Microbiology, Frontiers in Microbiology, Microbiology, Journal of Ethnopharmacology and PLoS ONE.

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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