Qingfeng Li

406 citations
15 papers · 277 · h-index 8

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • Tuberculosis Research and Epidemiology
    • SARS-CoV-2 detection and testing
    • Long-Term Effects of COVID-19

Papers in

    • SARS-CoV-2 and COVID-19 Research 7
    • COVID-19 Clinical Research Studies 4
    • Tuberculosis Research and Epidemiology 3
    • HIV/AIDS drug development and treatment 2
    • Viral gastroenteritis research and epidemiology 2
    • Biochemical and Molecular Research 2

Qingfeng Li

14 papers receiving 273 citations

Peers

Qingfeng Li
Comparison fields: 5 of 60
  • Infectious Diseases 214
  • Neurology 88
  • Critical Care and Intensive Care Medicine 8
  • Oncology 41
  • Epidemiology 49
Replace Yujuan Guan with:
Yujuan Guan China
Vladimir E. Nebolsin Russia
Thomas Hills New Zealand
Murugan Natarajan India
Sajjad Biglari Iran
Xin Tan China
Xixian Zhao China
Rameswari Chilamakuri United States
Abigail E. Schiff United States
Yibo Huang China
Qingfeng Li relative to Yujuan Guan China Yujuan Guan's profile →
Citations per field
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Yujuan Guan · 1×
Citations per year

Countries citing papers authored by Qingfeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Qingfeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2020128
2 202235
3 202016
4 201916
5 202115
6 202215
7 201715
8 202110
9 20207
10 20206
11 20215
12 20225
13 20192
14 20202
15 20240

About Qingfeng Li

Qingfeng Li is a scholar working on Infectious Diseases, Molecular Biology, Neurology, Organic Chemistry and Epidemiology, having authored 15 papers that have together received 277 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Long-Term Effects of COVID-19 (4 papers), COVID-19 Clinical Research Studies (4 papers), Tuberculosis Research and Epidemiology (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Biochemical and Molecular Research (2 papers), HIV/AIDS drug development and treatment (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (214 citations), Neurology (88 citations), Critical Care and Intensive Care Medicine (8 citations), Oncology (41 citations) and Epidemiology (49 citations). Qingfeng Li has collaborated with scholars based in China, Belgium and Australia. Frequent co-authors include Yilan Zeng, Dan Wang, Hong Xu, Na Zhang, Hong Chen, Ming Yang, Ru Liu, Piet Herdewijn, Leentje Persoons and Elisabetta Groaz. Their work appears in journals such as European Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Aging, Medicine and Tetrahedron.

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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