Qingfeng Shi

819 citations
9 papers · 576 · h-index 6

Impact in

    • COVID-19 Clinical Research Studies
    • Clostridium difficile and Clostridium perfringens research
    • Infection Control in Healthcare
    • Venous Thromboembolism Diagnosis and Management

Papers in

    • COVID-19 Clinical Research Studies 2
    • Clostridium difficile and Clostridium perfringens research 1
    • Infection Control in Healthcare 1
    • Antibiotic Resistance in Bacteria 2

Qingfeng Shi

9 papers receiving 547 citations

Peers

Qingfeng Shi
Comparison fields: 5 of 46
  • Infectious Diseases 339
  • Internal Medicine 14
  • Applied Microbiology and Biotechnology 3
  • Neurology 16
  • Molecular Medicine 6
Replace Ferhan Kerget with:
Ferhan Kerget Türkiye
Sarah Stabler France
Valentina De Zan Italy
Amanda de la Fuente Spain
Simon M. Stoneham United Kingdom
Pavel Kotouček United Kingdom
Jonathan Tschopp Switzerland
Vincent Foissaud France
Veronica Vassia Italy
Luigi Coppola Italy
Qingfeng Shi relative to Ferhan Kerget Türkiye Ferhan Kerget's profile →
Citations per field
00.5×5×10×15×19.5×
Ferhan Kerget · 1×
Citations per year

Countries citing papers authored by Qingfeng Shi

Since Specialization
Citations

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

Fields of papers citing papers by Qingfeng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2020455
2 201765
3 201917
4 202012
5 202011
6 20206
7 20164
8
[Establishing a L02 cell model with whole HBV gene transfection and analyzing its expressions of HLA-A, B, C and MICA/B].
20073
9 20183

About Qingfeng Shi

Qingfeng Shi is a scholar working on Infectious Diseases, Molecular Medicine, Epidemiology, Molecular Biology and Nuclear Energy and Engineering, having authored 9 papers that have together received 576 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (2 papers), COVID-19 Clinical Research Studies (2 papers), Influenza Virus Research Studies (1 paper), Clostridium difficile and Clostridium perfringens research (1 paper), Gut microbiota and health (1 paper), Hepatitis B Virus Studies (1 paper) and Infection Control in Healthcare (1 paper). The work is most often cited by research in Infectious Diseases (339 citations), Internal Medicine (14 citations), Applied Microbiology and Biotechnology (3 citations), Neurology (16 citations) and Molecular Medicine (6 citations). Qingfeng Shi has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Bijie Hu, Qingqing Wang, Yumeng Yao, Zhe Luo, Kaihuan Yu, Kai Liu, Xiang Chen, Zheyong Huang, Jiatian Cao and Zhijie Zhang. Their work appears in journals such as Annals of Translational Medicine, BioScience Trends, PLoS ONE, Frontiers in Cellular and Infection Microbiology and Journal of Intensive Care.

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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