Fei Qu

647 citations
26 papers · 530 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Nanoparticle-Based Drug Delivery

Papers in

Fei Qu

24 papers receiving 530 citations

Peers

Fei Qu
Comparison fields: 5 of 82
  • Cancer Research 80
  • Biomaterials 53
  • Biomedical Engineering 150
  • Pulmonary and Respiratory Medicine 82
  • Molecular Biology 184
Replace Yaser Tahamtani with:
Yaser Tahamtani Iran
Jiangmin Zhao China
Thomas Gilliland United States
Francine Hehn de Oliveira Brazil
Wan Seok Kang South Korea
Fenghua Zhao China
Zhengyu Zhou China
Dongquan Kou China
Fei Qu relative to Yaser Tahamtani Iran Yaser Tahamtani's profile →
Citations per field
00.5×3.8×
Yaser Tahamtani · 1×
Citations per year

Countries citing papers authored by Fei Qu

Since Specialization
Citations

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

Fields of papers citing papers by Fei Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019166
2 201749
3 201846
4 202238
5 200634
6 200834
7 201821
8 201918
9 200717
10 201717
11 202314
12 200711
13 202011
14 201010
15 202410
16 202310
17 20105
18 20225
19
The role of bronchial epithelial cells in airway hyperresponsiveness.
20075
20 20254

About Fei Qu

Fei Qu is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Physiology and Cancer Research, having authored 26 papers that have together received 530 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Immune cells in cancer (2 papers), Cystic Fibrosis Research Advances (2 papers), Inflammasome and immune disorders (2 papers), MicroRNA in disease regulation (2 papers), Asthma and respiratory diseases (2 papers), Neonatal Respiratory Health Research (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (80 citations), Biomaterials (53 citations), Biomedical Engineering (150 citations), Pulmonary and Respiratory Medicine (82 citations) and Molecular Biology (184 citations). Fei Qu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kun Zhang, Pan Wang, Quanhong Liu, Yixiang Li, Yin Shi, Chengren Li, Xiaobing Wang, Yurong Tan, Xiaoqun Qin and Yang Xiang. Their work appears in journals such as Cell Biology International, Journal of Ethnopharmacology, Nano Research, International Immunopharmacology and Chemico-Biological Interactions.

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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