Hua‐Ji Qiu

5.9k total citations · 2 hit papers
169 papers, 4.4k citations indexed

About

Hua‐Ji Qiu is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Hua‐Ji Qiu has authored 169 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Agronomy and Crop Science, 73 papers in Cardiology and Cardiovascular Medicine and 61 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Hua‐Ji Qiu's work include Animal Disease Management and Epidemiology (115 papers), Viral Infections and Immunology Research (73 papers) and Vector-Borne Animal Diseases (61 papers). Hua‐Ji Qiu is often cited by papers focused on Animal Disease Management and Epidemiology (115 papers), Viral Infections and Immunology Research (73 papers) and Vector-Borne Animal Diseases (61 papers). Hua‐Ji Qiu collaborates with scholars based in China, Sweden and United States. Hua‐Ji Qiu's co-authors include Yuan Sun, Yuzi Luo, Guangzhi Tong, Na Li, Yongfeng Li, Yanjun Zhou, Su Li, Rongliang Hu, Hongyu Cui and Tao Wang and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and Applied and Environmental Microbiology.

In The Last Decade

Hua‐Ji Qiu

156 papers receiving 4.3k citations

Hit Papers

Emergence of African Swin... 2018 2026 2020 2023 2018 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hua‐Ji Qiu China 33 2.4k 1.6k 1.5k 1.5k 1.3k 169 4.4k
Till Rümenapf Austria 35 2.7k 1.1× 1.5k 0.9× 1.6k 1.0× 1.1k 0.7× 1.3k 1.0× 91 4.3k
Emmanuel Albina France 39 1.8k 0.8× 2.6k 1.6× 776 0.5× 1.8k 1.2× 1.5k 1.2× 128 5.1k
José M. Escribano Spain 43 3.0k 1.2× 1.6k 1.0× 1.5k 1.0× 784 0.5× 2.3k 1.8× 120 5.3k
V. Moennig Germany 44 3.9k 1.6× 1.9k 1.2× 1.8k 1.2× 1.4k 0.9× 2.4k 1.9× 128 5.4k
Steven R. Bolin United States 41 3.4k 1.4× 2.9k 1.8× 1.1k 0.7× 1.7k 1.1× 2.5k 1.9× 121 5.4k
Yuzi Luo China 29 1.5k 0.6× 847 0.5× 922 0.6× 704 0.5× 986 0.8× 88 2.8k
Gregor Meyers Germany 46 4.1k 1.7× 3.1k 1.9× 2.6k 1.7× 2.1k 1.4× 2.1k 1.7× 84 6.8k
Changchun Tu China 33 930 0.4× 1.6k 1.0× 719 0.5× 964 0.6× 659 0.5× 167 3.4k
John D. Neill United States 32 1.5k 0.6× 2.1k 1.3× 855 0.6× 1.2k 0.8× 1.1k 0.9× 128 3.5k
Bryan Charleston United Kingdom 38 2.6k 1.1× 1.1k 0.7× 1.6k 1.1× 423 0.3× 1.8k 1.4× 146 4.3k

Countries citing papers authored by Hua‐Ji Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Hua‐Ji Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hua‐Ji Qiu. 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 Hua‐Ji Qiu. The network helps show where Hua‐Ji Qiu may publish in the future.

Co-authorship network of co-authors of Hua‐Ji Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Hua‐Ji Qiu. A scholar is included among the top collaborators of Hua‐Ji Qiu 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 Hua‐Ji Qiu. Hua‐Ji Qiu 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.
Gao, Xiaowei, Xinyong Dong, Hao Song, et al.. (2025). Rapid differentiation of viable and inactivated African swine fever virus by a viability quantitative PCR. Veterinary Research. 56(1). 204–204.
3.
Li, Jiaqi, et al.. (2025). Viroporins: emerging viral infection mechanisms and therapeutic targets. Journal of Virology. 99(9). e0103825–e0103825.
4.
Liu, Yanmei, Yingxu Wu, Wei‐Jun Cai, et al.. (2025). Emergent seasonal hypoxia and acidification risks induced by seaweed and fish polyculture in the world's largest seaweed farm. Limnology and Oceanography Letters. 10(6). 911–922.
5.
Zhang, Xinyu, Hongxia Wu, Yongfeng Li, et al.. (2024). A recombinant pseudorabies virus surface - displaying the classical swine fever E2 protein induces specific antibodies rapidly. Veterinary Microbiology. 298. 110240–110240. 1 indexed citations
6.
Guan, Xiangyu, Tao Wang, Huanjie Zhai, et al.. (2024). The CP123L protein of African swine fever virus is a membrane-associated, palmitoylated protein required for viral replication. Journal of Virology. 99(1). e0144524–e0144524.
8.
Song, Hao, Xiaowei Gao, Jing Li, et al.. (2024). Development and application of an indirect ELISA for detection of antibodies against emerging atypical porcine pestivirus. Virology Journal. 21(1). 53–53.
9.
Li, Yongfeng, et al.. (2024). T-Cell Epitope-Based Vaccines: A Promising Strategy for Prevention of Infectious Diseases. Vaccines. 12(10). 1181–1181. 15 indexed citations
10.
Meng, Yao, Yijing Wang, Ding Zhang, et al.. (2024). Unraveling Macrophage Polarization: Functions, Mechanisms, and “Double-Edged Sword” Roles in Host Antiviral Immune Responses. International Journal of Molecular Sciences. 25(22). 12078–12078. 5 indexed citations
11.
Wang, Yanjin, et al.. (2024). Crosstalk between Dysfunctional Mitochondria and Proinflammatory Responses during Viral Infections. International Journal of Molecular Sciences. 25(17). 9206–9206. 6 indexed citations
12.
Zhang, Kehui, Hailiang Ge, Pingping Zhou, et al.. (2023). The D129L protein of African swine fever virus interferes with the binding of transcriptional coactivator p300 and IRF3 to prevent beta interferon induction. Journal of Virology. 97(10). e0082423–e0082423. 8 indexed citations
14.
Li, Mingzhi, Xinyu Zhang, Xia Yu, et al.. (2023). Establishment of an In Vitro Model of Pseudorabies Virus Latency and Reactivation and Identification of Key Viral Latency-Associated Genes. Viruses. 15(3). 808–808. 5 indexed citations
15.
Luo, Yuzi, Li Zhang, Pengying Wang, et al.. (2021). Genotyping and Molecular Characterization of Classical Swine Fever Virus Isolated in China during 2016–2018. Viruses. 13(4). 664–664. 18 indexed citations
16.
Wang, Tao, Liang Wang, Yu Han, et al.. (2021). Adaptation of African swine fever virus to HEK293T cells. Transboundary and Emerging Diseases. 68(5). 2853–2866. 53 indexed citations
17.
Wang, Liang, Yuzi Luo, Yuhui Zhao, et al.. (2020). Comparative genomic analysis reveals an ‘open’ pan‐genome of African swine fever virus. Transboundary and Emerging Diseases. 67(4). 1553–1562. 23 indexed citations
18.
Wang, Yu‐Fei, Zhonghua Wang, Yan Li, et al.. (2009). In vitro inhibition of the replication of classical swine fever virus by capsid-targeted virus inactivation. Antiviral Research. 85(2). 422–424. 6 indexed citations
19.
Zhou, Yanjun, Tongqing An, Jinxia Liu, et al.. (2006). Identification of a Conserved Epitope Cluster in the N Protein of Porcine Reproductive and Respiratory Syndrome Virus. Viral Immunology. 19(3). 383–390. 14 indexed citations
20.
Qiu, Hua‐Ji, Baoqing Guo, Guangzhi Tong, Wenxing Liu, & Yu Li. (1998). Genotyping of porcine reproductive and respiratory syndrome virus strain CH-1a isolated in China by RT-PCR and indirect immunofluorescence test. Zhongguo shouyi xuebao. 18(2). 118–121. 3 indexed citations

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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