Qiuling Fu

573 citations
52 papers · 423 · h-index 14

Impact in

Papers in

Qiuling Fu

47 papers receiving 422 citations

Peers

Qiuling Fu
Comparison fields: 5 of 49
  • Animal Science and Zoology 224
  • Infectious Diseases 164
  • Cardiology and Cardiovascular Medicine 118
  • Genetics 134
  • Immunology 61
Replace Lisanework E. Ayalew with:
Lisanework E. Ayalew Canada
Anchun Cheng China
Xiangang Sun China
Andrew J. Burnham United States
Chenghuai Yang China
N. W. Ball United Kingdom
Minxun Song China
Umesh Katpally United States
Andrew B. Janowski United States
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Citations per field
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Citations per year

Countries citing papers authored by Qiuling Fu

Since Specialization
Citations

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

Fields of papers citing papers by Qiuling Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202124
2 201923
3 201922
4 201820
5 201819
6 201817
7 201816
8 201816
9 201916
10 201815
11 201815
12 201514
13 201314
14 201713
15 202112
16 202312
17 201811
18
Genomic characterization of goose parvovirus and Muscovy duck parvovirus co-infection in Fujian, China.
201510
19 202310
20 20199

About Qiuling Fu

Qiuling Fu is a scholar working on Animal Science and Zoology, Epidemiology, Cardiology and Cardiovascular Medicine, Infectious Diseases and Genetics, having authored 52 papers that have together received 423 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (21 papers), Viral Infections and Immunology Research (14 papers), Viral gastroenteritis research and epidemiology (9 papers), Virus-based gene therapy research (9 papers), Plant Virus Research Studies (8 papers), Virology and Viral Diseases (7 papers), Microbial infections and disease research (6 papers) and Herpesvirus Infections and Treatments (6 papers). The work is most often cited by research in Animal Science and Zoology (224 citations), Infectious Diseases (164 citations), Cardiology and Cardiovascular Medicine (118 citations), Genetics (134 citations) and Immunology (61 citations). Qiuling Fu has collaborated with scholars based in China and India. Frequent co-authors include Guanghua Fu, Chunhe Wan, Shaohua Shi, Yu Huang, Longfei Cheng, Rongchang Liu, Hongmei Chen, Xinhua Chen, Hongmei Chen and Hongmei Chen. Their work appears in journals such as Archives of Virology, BMC Veterinary Research, Fish & Shellfish Immunology, Journal of Antimicrobial Chemotherapy and Poultry Science.

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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