Hua-Ji Qiu

1.4k total citations
44 papers, 960 citations indexed

About

Hua-Ji Qiu is a scholar working on Agronomy and Crop Science, Infectious Diseases and Animal Science and Zoology. According to data from OpenAlex, Hua-Ji Qiu has authored 44 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Agronomy and Crop Science, 13 papers in Infectious Diseases and 13 papers in Animal Science and Zoology. Recurrent topics in Hua-Ji Qiu's work include Animal Disease Management and Epidemiology (25 papers), Animal Virus Infections Studies (13 papers) and Vector-Borne Animal Diseases (12 papers). Hua-Ji Qiu is often cited by papers focused on Animal Disease Management and Epidemiology (25 papers), Animal Virus Infections Studies (13 papers) and Vector-Borne Animal Diseases (12 papers). Hua-Ji Qiu collaborates with scholars based in China, United Kingdom and United States. Hua-Ji Qiu's co-authors include Yuan Sun, Yuzi Luo, Lian‐Feng Li, Xin Cong, Muhammad Munir, Jin Yuan, Chunhua Wang, Yongfeng Li, Na Li and Shaoxiong Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Hua-Ji Qiu

43 papers receiving 951 citations

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 17 402 322 219 218 211 44 960
Yeun‐Kyung Shin South Korea 16 368 0.9× 444 1.4× 248 1.1× 230 1.1× 220 1.0× 50 1.0k
Katy Moffat United Kingdom 16 556 1.4× 232 0.7× 322 1.5× 404 1.9× 324 1.5× 42 1.2k
Changyao Li China 16 345 0.9× 150 0.5× 229 1.0× 193 0.9× 335 1.6× 22 837
Ulrike Blohm Germany 19 524 1.3× 295 0.9× 111 0.5× 326 1.5× 278 1.3× 41 1.0k
Mário Celso Sperotto Brum Brazil 16 475 1.2× 385 1.2× 108 0.5× 347 1.6× 148 0.7× 55 924
David A. Brake United States 17 416 1.0× 111 0.3× 226 1.0× 308 1.4× 141 0.7× 38 953
Birke Andrea Tews Germany 14 316 0.8× 118 0.4× 176 0.8× 165 0.8× 284 1.3× 33 788
Suresh H. Basagoudanavar India 15 251 0.6× 278 0.9× 320 1.5× 180 0.8× 130 0.6× 54 956
Tobias J. Tuthill United Kingdom 21 296 0.7× 251 0.8× 363 1.7× 148 0.7× 388 1.8× 42 1.2k

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.
Liu, Di, Lian‐Feng Li, Huanjie Zhai, et al.. (2025). Resveratrol inhibits African swine fever virus replication via the Nrf2-mediated reduced glutathione and antioxidative activities. Emerging Microbes & Infections. 14(1). 2469662–2469662. 1 indexed citations
2.
Liu, Ruili, Junqing Sun, Lian‐Feng Li, et al.. (2024). Structural basis for difunctional mechanism of m-AMSA against African swine fever virus pP1192R. Nucleic Acids Research. 52(18). 11301–11316. 3 indexed citations
3.
Wang, Tao, Rui Luo, Jing Zhang, et al.. (2024). The African swine fever virus MGF300-4L protein is associated with viral pathogenicity by promoting the autophagic degradation of IKK β and increasing the stability of I κ B α. Emerging Microbes & Infections. 13(1). 2333381–2333381. 22 indexed citations
4.
Wang, Yanjin, Jiaqi Li, Hongwei Cao, et al.. (2024). African swine fever virus modulates the endoplasmic reticulum stress-ATF6-calcium axis to facilitate viral replication. Emerging Microbes & Infections. 13(1). 2399945–2399945. 5 indexed citations
5.
Zheng, Yuxuan, Su Li, Shihua Li, et al.. (2022). Transcriptome profiling in swine macrophages infected with African swine fever virus at single-cell resolution. Proceedings of the National Academy of Sciences. 119(19). e2201288119–e2201288119. 67 indexed citations
6.
Wang, Bing, Hongxia Wu, Lian‐Feng Li, et al.. (2022). Histamine Is Responsible for the Neuropathic Itch Induced by the Pseudorabies Virus Variant in a Mouse Model. Viruses. 14(5). 1067–1067. 4 indexed citations
7.
Liu, Ruili, Yeping Sun, Yan Chai, et al.. (2020). The structural basis of African swine fever virus pA104R binding to DNA and its inhibition by stilbene derivatives. Proceedings of the National Academy of Sciences. 117(20). 11000–11009. 36 indexed citations
8.
Wu, Hongxia, et al.. (2020). Establishment of a Fosmid Library for Pseudorabies Virus SC Strain and Application in Viral Neuronal Tracing. Frontiers in Microbiology. 11. 1168–1168. 7 indexed citations
9.
Yang, Qian, Lian‐Feng Li, Sam Li, et al.. (2019). Human Hemoglobin Subunit Beta Functions as a Pleiotropic Regulator of RIG-I/MDA5-Mediated Antiviral Innate Immune Responses. Journal of Virology. 93(16). 24 indexed citations
10.
Lei, Jianlin, Mingliang Du, Yimin Wang, et al.. (2016). Enhanced protective immunity of the chimeric vector-based vaccine rAdV-SFV-E2 against classical swine fever in pigs by a Salmonella bacterial ghost adjuvant. Veterinary Research. 47(1). 64–64. 11 indexed citations
11.
Lei, Jianlin, Mingliang Du, Yimin Wang, et al.. (2016). Efficacy of the marker vaccine rAdV-SFV-E2 against classical swine fever in the presence of maternally derived antibodies to rAdV-SFV-E2 or C-strain. Veterinary Microbiology. 196. 50–54. 16 indexed citations
12.
Wang, Yimin, Jianlin Lei, Xin Cong, et al.. (2015). Dose-dependent pathogenicity of a pseudorabies virus variant in pigs inoculated via intranasal route. Veterinary Immunology and Immunopathology. 168(3-4). 147–152. 15 indexed citations
13.
14.
Zhang, Xin, et al.. (2011). Establishment of a PK-15 cell line stably expressing T7 RNA polymerase. Zhongguo yufang shouyi xuebao. 33(5). 358–361. 1 indexed citations
15.
Qiu, Hua-Ji. (2008). Establishment of a competitive inhibition ELISA for detection of neutralizing antibodies against classical swine fever virus. Chinese Veterinary Science. 1 indexed citations
16.
Qiu, Hua-Ji. (2008). Development of an indirect ELISA based on the recombinant E2 protein expressed in baculovirus for detecting antibodies against classical swine fever virus. Chinese Veterinary Science. 3 indexed citations
17.
18.
Zhou, Tao, Shaohua Hou, Yabin Tu, et al.. (2007). Long terminal repeat sequences from virulent and attenuated equine infectious anemia virus demonstrate distinct promoter activities. Virus Research. 128(1-2). 58–64. 6 indexed citations
19.
Li, Yan, et al.. (2006). A reverse transcription--multiplex nested polymerase chain reaction for detection and differentiation of wild--type and vaccine viruses of classical swine fever virus. 39(9). 1907–1914. 1 indexed citations
20.
Zhang, Chunling, Haiyan Li, Shangjin Cui, et al.. (2004). Primary application of swine influenza virus necleoprotein expressed in prokaryotic expression system. Zhongguo yufang shouyi xuebao. 26(1). 18–21. 1 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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