Q Wu

536 citations
8 papers · 429 · h-index 6

Impact in

  • Pollution top 2%
    • Microbial bioremediation and biosurfactants
    • Pharmaceutical and Antibiotic Environmental Impacts
    • Toxic Organic Pollutants Impact
    • Effects and risks of endocrine disrupting chemicals

Papers in

    • Microbial bioremediation and biosurfactants 5
    • Environmental remediation with nanomaterials 3
    • Advanced Chemical Sensor Technologies 1

Q Wu

8 papers receiving 407 citations

Peers

Q Wu
Comparison fields: 5 of 55
  • Pollution 335
  • Health, Toxicology and Mutagenesis 212
  • Pharmaceutical Science 43
  • Environmental Engineering 59
  • Biomedical Engineering 142
Replace R. Valo with:
R. Valo Finland
Cui Zhao China
Mark D. Mikesell United States
Neal R. Adrian United States
Sytze Keuning Netherlands
Theresa M. Phillips Canada
Shaw‐Ying Yuan Taiwan
Kimberly S. Bowman United States
Matthew F. Verce United States
Line Lomheim Canada
Q Wu relative to R. Valo Finland R. Valo's profile →
Citations per field
00.5×
R. Valo · 1×
Citations per year

Countries citing papers authored by Q Wu

Since Specialization
Citations

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

Fields of papers citing papers by Q Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Q Wu, 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 Q Wu Line = papers co-authored together Q Wu links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2000275
2 199738
3 199736
4 199630
5 199726
6 198321
7 20252
8 20241

About Q Wu

Q Wu is a scholar working on Pollution, Biomedical Engineering, Health, Toxicology and Mutagenesis, Environmental Engineering and Nature and Landscape Conservation, having authored 8 papers that have together received 429 indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (5 papers), Groundwater flow and contamination studies (3 papers), Environmental remediation with nanomaterials (3 papers), Toxic Organic Pollutants Impact (3 papers), Advanced Welding Techniques Analysis (1 paper), Analytical Chemistry and Sensors (1 paper), Animal Behavior and Reproduction (1 paper) and Advanced Chemical Sensor Technologies (1 paper). The work is most often cited by research in Pollution (335 citations), Health, Toxicology and Mutagenesis (212 citations), Pharmaceutical Science (43 citations), Environmental Engineering (59 citations) and Biomedical Engineering (142 citations). Q Wu has collaborated with scholars based in United States and China. Frequent co-authors include Juergen Wiegel, Donna L. Bedard, Lisha Peng, Qibo Feng and Songling Huang. Their work appears in journals such as Applied and Environmental Microbiology, FEMS Microbiology Ecology, Talanta, IEEE Transactions on Instrumentation and Measurement and Highlights in Business Economics and Management.

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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