Fen Qu
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
- Escherichia coli research studies
- Vibrio bacteria research studies
Papers in
-
- Antibiotic Resistance in Bacteria 16
-
- Pneumonia and Respiratory Infections 5
- Co-authors
- Chunmei Bao (10 shared papers)Yi‐Wei Tang (9 shared papers)Jing‐Ren Zhang (3 shared papers)Liang Chen (9 shared papers)Hua Yu (8 shared papers)Hong Du (8 shared papers)Bin Huang (8 shared papers)Wei Jia (8 shared papers)
- Journals
- Journal of Clinical Microbiology (3 papers)Journal of Thermal Analysis and Calorimetry (3 papers)Frontiers in Microbiology (3 papers)Diagnostic Microbiology and Infectious Disease (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)
- Partner nations
- ChinaUnited StatesBelarus
In The Last Decade
Fen Qu
42 papers receiving 767 citations
Peers
Comparison fields: 5 of 78
- Molecular Medicine 328
- Endocrinology 198
- Applied Microbiology and Biotechnology 24
- Infectious Diseases 170
- Microbiology 43
Countries citing papers authored by Fen Qu
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
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.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 98 | |
| 2 | 2016 | 81 | |
| 3 | 2017 | 40 | |
| 4 | 2012 | 36 | |
| 5 | 2013 | 35 | |
| 6 | 2018 | 34 | |
| 7 | 2015 | 32 | |
| 8 | 2009 | 31 | |
| 9 | 2016 | 28 | |
| 10 | 2020 | 27 | |
| 11 | 2020 | 26 | |
| 12 | 2022 | 22 | |
| 13 | 2022 | 20 | |
| 14 | 2013 | 20 | |
| 15 | 2014 | 19 | |
| 16 | 2018 | 18 | |
| 17 | 2012 | 18 | |
| 18 | 2016 | 17 | |
| 19 | 2010 | 16 | |
| 20 | 2014 | 14 |
About Fen Qu
Fen Qu is a scholar working on Molecular Medicine, Epidemiology, Endocrinology, Infectious Diseases and Molecular Biology, having authored 43 papers that have together received 780 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (16 papers), Pneumonia and Respiratory Infections (5 papers), Enterobacteriaceae and Cronobacter Research (4 papers), thermodynamics and calorimetric analyses (4 papers), Vibrio bacteria research studies (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Salmonella and Campylobacter epidemiology (3 papers) and Liver Disease and Transplantation (3 papers). The work is most often cited by research in Molecular Medicine (328 citations), Endocrinology (198 citations), Applied Microbiology and Biotechnology (24 citations), Infectious Diseases (170 citations) and Microbiology (43 citations). Fen Qu has collaborated with scholars based in China, United States and Belarus. Frequent co-authors include Chunmei Bao, Yi‐Wei Tang, Jing‐Ren Zhang, Liang Chen, Hua Yu, Hong Du, Bin Huang, Wei Jia, Bin Shan and Suming Chen. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Thermal Analysis and Calorimetry, Frontiers in Microbiology, Diagnostic Microbiology and Infectious Disease and Antimicrobial Agents and Chemotherapy.
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.