Qing Pan

1.6k total citations
63 papers, 1.1k citations indexed

About

Qing Pan is a scholar working on Epidemiology, Genetics and Animal Science and Zoology. According to data from OpenAlex, Qing Pan has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Epidemiology, 23 papers in Genetics and 20 papers in Animal Science and Zoology. Recurrent topics in Qing Pan's work include Virus-based gene therapy research (23 papers), Virology and Viral Diseases (20 papers) and Animal Virus Infections Studies (19 papers). Qing Pan is often cited by papers focused on Virus-based gene therapy research (23 papers), Virology and Viral Diseases (20 papers) and Animal Virus Infections Studies (19 papers). Qing Pan collaborates with scholars based in China, Pakistan and United States. Qing Pan's co-authors include Yulong Gao, Hongyu Cui, Changjun Liu, Xiaole Qi, Li Gao, Xiaomei Wang, Kai Li, Yanping Zhang, Yanping Zhang and Yulong Wang and has published in prestigious journals such as Journal of Virology, Applied Microbiology and Biotechnology and Frontiers in Immunology.

In The Last Decade

Qing Pan

60 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qing Pan China 20 647 390 331 310 223 63 1.1k
Yanping Zhang China 19 463 0.7× 320 0.8× 353 1.1× 346 1.1× 182 0.8× 65 1000
Honglei Gao China 27 1.3k 2.0× 247 0.6× 428 1.3× 302 1.0× 445 2.0× 107 1.9k
R. Raue Germany 24 824 1.3× 544 1.4× 677 2.0× 595 1.9× 224 1.0× 39 1.6k
Thais Fumaco Teixeira Brazil 18 244 0.4× 175 0.4× 370 1.1× 377 1.2× 114 0.5× 50 833
Ashley E. Reynolds United States 9 1.3k 2.0× 317 0.8× 141 0.4× 144 0.5× 399 1.8× 9 1.6k
Yongning Zhang China 17 154 0.2× 263 0.7× 348 1.1× 519 1.7× 185 0.8× 71 1.0k
Tamás Mató Hungary 18 402 0.6× 301 0.8× 699 2.1× 559 1.8× 59 0.3× 41 1.1k
Yihong Xiao China 18 250 0.4× 325 0.8× 489 1.5× 418 1.3× 218 1.0× 65 1.1k
Aruna Panda United States 16 766 1.2× 175 0.4× 430 1.3× 394 1.3× 130 0.6× 26 1.2k
Tianchao Wei China 17 310 0.5× 334 0.9× 647 2.0× 601 1.9× 120 0.5× 52 955

Countries citing papers authored by Qing Pan

Since Specialization
Citations

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

Fields of papers citing papers by Qing Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Pan. A scholar is included among the top collaborators of Qing Pan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qing Pan. Qing Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cao, Xu, Yufeng Li, Kexiang Yu, et al.. (2025). Oxidative stress in the liver of chicken during fowl adenovirus serotype 4 infection. Poultry Science. 104(5). 105054–105054.
2.
3.
Liu, Aijing, Yu Zhang, Hongyu Cui, et al.. (2022). Advances in Vaccine Development of the Emerging Novel Genotype Fowl Adenovirus 4. Frontiers in Immunology. 13. 916290–916290. 16 indexed citations
4.
Li, Yue, Nana Yan, Yongqiang Wang, et al.. (2021). Molecular evolution and pathogenicity of chicken anemia virus isolates in China. Archives of Virology. 166(2). 439–449. 12 indexed citations
5.
Liu, Peng, Rui Liu, Li Gao, et al.. (2021). Recombinant Duck Enteritis Virus-Vectored Bivalent Vaccine Effectively Protects Against Duck Hepatitis A Virus Infection in Ducks. Frontiers in Microbiology. 12. 813010–813010. 11 indexed citations
6.
Luo, Dan, Rui Liu, Kai Li, et al.. (2021). Genomic sequences and pathogenic characteristics of two variant duck reoviruses associated with spleen necrosis. Infection Genetics and Evolution. 92. 104847–104847. 16 indexed citations
7.
Jiang, Nan, Yulong Wang, Wenying Zhang, et al.. (2021). Genotyping and Molecular Characterization of Infectious Bursal Disease Virus Identified in Important Poultry-Raising Areas of China During 2019 and 2020. Frontiers in Veterinary Science. 8. 759861–759861. 26 indexed citations
8.
Pan, Qing, et al.. (2021). Molecular characterization of the FCoV-like canine coronavirus HLJ-071 in China. BMC Veterinary Research. 17(1). 364–364. 3 indexed citations
9.
Li, Xinyi, Altaf Hussain, Mengmeng Yu, et al.. (2020). Isolation and molecular characterization of the first subgroup J avian leukosis virus from chicken in Pakistan. Infection Genetics and Evolution. 85. 104425–104425. 6 indexed citations
10.
Fan, Linjin, Yulong Wang, Nan Jiang, et al.. (2020). A reassortment vaccine candidate of the novel variant infectious bursal disease virus. Veterinary Microbiology. 251. 108905–108905. 17 indexed citations
11.
Fan, Linjin, Yulong Wang, Nan Jiang, et al.. (2020). Novel variant infectious bursal disease virus suppresses Newcastle disease vaccination in broiler and layer chickens. Poultry Science. 99(12). 6542–6548. 23 indexed citations
12.
Yu, Mengmeng, Suyan Wang, Peng Liu, et al.. (2020). Development and evaluation of a gp85 protein-based subgroup-specific indirect enzyme-linked immunosorbent assay for the detection of anti-subgroup J avian leukosis virus antibodies. Applied Microbiology and Biotechnology. 104(4). 1785–1793. 6 indexed citations
13.
Fan, Linjin, Tiantian Wu, Yulong Wang, et al.. (2019). Novel variants of infectious bursal disease virus can severely damage the bursa of fabricius of immunized chickens. Veterinary Microbiology. 240. 108507–108507. 65 indexed citations
14.
15.
Zhou, Linyi, Yanping Zhang, Feng Zhang, et al.. (2019). Differential expression of type I interferon mRNA and protein levels induced by virulent Marek’s disease virus infection in chickens. Veterinary Immunology and Immunopathology. 212. 15–22. 10 indexed citations
16.
Pan, Qing, Jing Wang, Yulong Gao, et al.. (2018). Identification of two novel fowl adenovirus C-specific B cell epitopes using monoclonal antibodies against the capsid hexon protein. Applied Microbiology and Biotechnology. 102(21). 9243–9253. 7 indexed citations
17.
Yang, Jingjing, Qing Pan, Shengqing Yu, et al.. (2018). Screening of reference genes using real-time quantitative PCR for gene expression studies inNeoseiulus barkeriHughes (Acari: Phytoseiidae). Bulletin of Entomological Research. 109(4). 443–452. 12 indexed citations
18.
Yu, Mengmeng, Yao Zhang, Ming-Hui Fan, et al.. (2018). Avian leukosis virus subgroup J promotes cell proliferation and cell cycle progression through miR-221 by targeting CDKN1B. Virology. 519. 121–130. 15 indexed citations
19.
Ding, Lili, et al.. (2017). Gene cloning and difference analysis of vitellogenin in Neoseiulus barkeri (Hughes). Bulletin of Entomological Research. 108(2). 141–149. 7 indexed citations
20.

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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