Qingfeng Shi

890 citations
16 papers · 608 · h-index 8

Impact in

Papers in

    • COVID-19 Clinical Research Studies 2
    • Clostridium difficile and Clostridium perfringens research 2
    • Infection Control in Healthcare 1
    • Helicobacter pylori-related gastroenterology studies 3

Qingfeng Shi

16 papers receiving 594 citations

Peers

Qingfeng Shi
Comparison fields: 5 of 86
  • Infectious Diseases 324
  • Internal Medicine 28
  • Neurology 100
  • Applied Microbiology and Biotechnology 8
  • Critical Care and Intensive Care Medicine 16
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Huaqin Pan China
Mohammed Abukhattab Qatar
Linjie Luo United States
Biagio Pinchera Italy
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Jinya Ding China
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Bouchra Belefquih Morocco
Guoxing Tang China
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Citations per field
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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

16 of 16 papers shown
#Work
1 2020419
2 201762
3 201620
4 201618
5 201817
6 201916
7 202012
8 202011
9 20217
10 20216
11 20206
12 20164
13 20243
14
[Establishing a L02 cell model with whole HBV gene transfection and analyzing its expressions of HLA-A, B, C and MICA/B].
20073
15 20183
16 20171

About Qingfeng Shi

Qingfeng Shi is a scholar working on Infectious Diseases, Surgery, Epidemiology, Molecular Biology and Critical Care and Intensive Care Medicine, having authored 16 papers that have together received 608 indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (3 papers), COVID-19 Clinical Research Studies (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Gut microbiota and health (2 papers), Respiratory viral infections research (1 paper), Infection Control in Healthcare (1 paper), Infant Nutrition and Health (1 paper) and Escherichia coli research studies (1 paper). The work is most often cited by research in Infectious Diseases (324 citations), Internal Medicine (28 citations), Neurology (100 citations), Applied Microbiology and Biotechnology (8 citations) and Critical Care and Intensive Care Medicine (16 citations). Qingfeng Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Bijie Hu, Zheyong Huang, Kai Liu, Yumeng Yao, Sisi Chen, Kaihuan Yu, Xiang Chen, Jiatian Cao, Qingqing Wang and Zhe Luo. Their work appears in journals such as Annals of Translational Medicine, Biotechnology Letters, Journal of Intensive Care, Annals of Palliative Medicine 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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