Daofeng Qu

1.1k citations
50 papers · 908 · h-index 21

Impact in

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

Papers in

Daofeng Qu

48 papers receiving 886 citations

Peers

Daofeng Qu
Comparison fields: 5 of 95
  • Parasitology 347
  • Virology 71
  • Molecular Medicine 75
  • Endocrinology 59
  • Epidemiology 260
Replace Mingyuan Liu with:
Mingyuan Liu China
Bahman Rahimi Esboei Iran
Andrew J. Nok Nigeria
Nongyao Sawangjaroen Thailand
Huanhuan Liu China
Lisa Mullis United States
Wei-Shan Chang China
Kunapuli T. Madhusudhan United States
Bashir Ahmad Fomda India
Rym Essid Tunisia
Daofeng Qu relative to Mingyuan Liu China Mingyuan Liu's profile →
Citations per field
00.5×10×15×17.8×
Mingyuan Liu · 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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201177
2 201065
3 201148
4 201546
5 200841
6 201340
7 201236
8 201834
9 201833
10 201733
11 201832
12 201332
13 201832
14 201931
15 201130
16 201627
17 201924
18 200924
19 202123
20 201222

About Daofeng Qu

Daofeng Qu is a scholar working on Molecular Biology, Epidemiology, Molecular Medicine, Parasitology and Ecology, having authored 50 papers that have together received 908 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), Vibrio bacteria research studies (4 papers), Animal Nutrition and Physiology (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Parasitology (347 citations), Virology (71 citations), Molecular Medicine (75 citations), Endocrinology (59 citations) and Epidemiology (260 citations). Daofeng Qu has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Jianzhong Han, Aifang Du, Chunlei Su, Jiehong Fang, Suhua Wang, Weiming Cai, Lifang Feng, Isabelle Martins Ribeiro Ferreira, José Ernesto Vidal and Luíz Carlos de Mattos. Their work appears in journals such as Frontiers in Microbiology, Veterinary Parasitology, Molecules, Food & Function and Food 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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