Fen Qu

854 citations
35 papers · 556 · h-index 15

Impact in

Papers in

    • Antibiotic Resistance in Bacteria 13
    • Escherichia coli research studies 5
    • Vibrio bacteria research studies 5
    • Enterobacteriaceae and Cronobacter Research 4

Fen Qu

34 papers receiving 547 citations

Peers

Fen Qu
Comparison fields: 5 of 68
  • Molecular Medicine 246
  • Endocrinology 184
  • Applied Microbiology and Biotechnology 33
  • Infectious Diseases 160
  • Clinical Biochemistry 46
Replace Tamara Salloum with:
Tamara Salloum Lebanon
Jung Sik Yoo South Korea
Mirela Flonta Romania
Sophia David United Kingdom
Caroline Mirande France
Yingshun Zhou China
B. Gay Elisha South Africa
To Nguyen Thi Nguyen United Kingdom
Leah W. Roberts Australia
Majed F. Alghoribi Saudi Arabia
Fen Qu relative to Tamara Salloum Lebanon Tamara Salloum's profile →
Citations per field
00.5×10×15×20.5×
Tamara Salloum · 1×
Citations per year

Countries citing papers authored by Fen Qu

Since Specialization
Citations

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

Fields of papers citing papers by Fen Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201679
2 201740
3 201334
4 201833
5 201232
6 200931
7 201529
8 202025
9 201625
10 202024
11 201419
12 201318
13 201217
14 201016
15 201616
16 201412
17 201512
18 202011
19 202010
20 20159

About Fen Qu

Fen Qu is a scholar working on Molecular Medicine, Endocrinology, Food Science, Infectious Diseases and Molecular Biology, having authored 35 papers that have together received 556 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (13 papers), Salmonella and Campylobacter epidemiology (5 papers), Escherichia coli research studies (5 papers), Vibrio bacteria research studies (5 papers), Bacterial biofilms and quorum sensing (4 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Enterobacteriaceae and Cronobacter Research (4 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Molecular Medicine (246 citations), Endocrinology (184 citations), Applied Microbiology and Biotechnology (33 citations), Infectious Diseases (160 citations) and Clinical Biochemistry (46 citations). Fen Qu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Chunmei Bao, Yi‐Wei Tang, Liang Chen, Hong Du, Hua Yu, Wei Jia, Bin Huang, Bin Shan, Suming Chen and Yuanli Mao. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Thermal Analysis and Calorimetry, Antimicrobial Agents and Chemotherapy, Diagnostic Microbiology and Infectious Disease and Frontiers in Microbiology.

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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