Daofeng Qu

1.1k citations
49 papers · 853 · h-index 20

Impact in

    • Toxoplasma gondii Research Studies
    • Parasitic Infections and Diagnostics
  • Virology top 10%
    • Rabies epidemiology and control

Papers in

Daofeng Qu

47 papers receiving 835 citations

Peers

Daofeng Qu
Comparison fields: 5 of 98
  • Parasitology 335
  • Virology 76
  • Molecular Medicine 75
  • Endocrinology 60
  • Epidemiology 285
Replace Abolghasem Siyadatpanah with:
Abolghasem Siyadatpanah Iran
Lucy Megumi Yamauchi Brazil
Andrew J. Nok Nigeria
Huanhuan Liu China
Nongyao Sawangjaroen Thailand
Wei-Shan Chang China
Lisa Mullis United States
Farnaz Kheirandish Iran
Pratiwi Sudarmono Indonesia
Guillaume André Durand France
Daofeng Qu relative to Abolghasem Siyadatpanah Iran Abolghasem Siyadatpanah's profile →
Citations per field
00.5×5.8×
Abolghasem Siyadatpanah · 1×
Citations per year

Countries citing papers authored by Daofeng Qu

Since Specialization
Citations

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

Fields of papers citing papers by Daofeng Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201174
2 201065
3 201147
4 201540
5 201339
6 200835
7 201234
8 201832
9 201732
10 201331
11 201831
12 201930
13 201830
14 201129
15 201829
16 201625
17 201222
18 202121
19 200921
20 201921

About Daofeng Qu

Daofeng Qu is a scholar working on Molecular Biology, Epidemiology, Molecular Medicine, Parasitology and Ecology, having authored 49 papers that have together received 853 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (10 papers), Antibiotic Resistance in Bacteria (10 papers), Toxoplasma gondii Research Studies (10 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers), Bacteriophages and microbial interactions (6 papers), Animal Nutrition and Physiology (4 papers), CRISPR and Genetic Engineering (4 papers) and Vibrio bacteria research studies (4 papers). The work is most often cited by research in Parasitology (335 citations), Virology (76 citations), Molecular Medicine (75 citations), Endocrinology (60 citations) and Epidemiology (285 citations). Daofeng Qu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianzhong Han, Aifang Du, Chunlei Su, Jiehong Fang, Suhua Wang, Weiming Cai, Lifang Feng, José Ernesto Vidal, Vera Lúcia Pereira‐Chioccola and Luíz Carlos de Mattos. Their work appears in journals such as Frontiers in Microbiology, Molecules, Food & Function, Veterinary Parasitology and Vaccine.

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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