Qingxia Lu

483 total citations
29 papers, 349 citations indexed

About

Qingxia Lu is a scholar working on Animal Science and Zoology, Genetics and Infectious Diseases. According to data from OpenAlex, Qingxia Lu has authored 29 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Animal Science and Zoology, 12 papers in Genetics and 10 papers in Infectious Diseases. Recurrent topics in Qingxia Lu's work include Animal Virus Infections Studies (12 papers), Virus-based gene therapy research (10 papers) and Viral gastroenteritis research and epidemiology (8 papers). Qingxia Lu is often cited by papers focused on Animal Virus Infections Studies (12 papers), Virus-based gene therapy research (10 papers) and Viral gastroenteritis research and epidemiology (8 papers). Qingxia Lu collaborates with scholars based in China, United States and India. Qingxia Lu's co-authors include Gaiping Zhang, Jianguo He, Shaoping Weng, Xiao‐Qiang Yu, Guangxu Xing, Rui Li, Songlin Qiao, Xiaopeng Xu, Qianyue Jin and Yongwen Luo and has published in prestigious journals such as Journal of Virology, Biochemical and Biophysical Research Communications and Applied Microbiology and Biotechnology.

In The Last Decade

Qingxia Lu

26 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingxia Lu China 11 144 142 95 87 85 29 349
Qinghong Xue China 13 146 1.0× 86 0.6× 177 1.9× 60 0.7× 128 1.5× 36 457
Fulong Nan China 11 56 0.4× 203 1.4× 195 2.1× 164 1.9× 96 1.1× 20 354
Dajun Zhang China 11 104 0.7× 61 0.4× 113 1.2× 36 0.4× 118 1.4× 38 406
Tristan P. W. Dennis United Kingdom 7 134 0.9× 61 0.4× 123 1.3× 42 0.5× 105 1.2× 10 331
Hang Yin China 11 148 1.0× 43 0.3× 132 1.4× 41 0.5× 130 1.5× 14 419
M. Mini India 10 62 0.4× 45 0.3× 69 0.7× 42 0.5× 48 0.6× 57 308
Xijuan Shi China 8 87 0.6× 55 0.4× 131 1.4× 25 0.3× 115 1.4× 22 334
Henan Zhu United States 9 53 0.4× 214 1.5× 178 1.9× 131 1.5× 131 1.5× 16 580
Zhongyan Lu China 11 119 0.8× 137 1.0× 196 2.1× 71 0.8× 115 1.4× 22 415

Countries citing papers authored by Qingxia Lu

Since Specialization
Citations

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

Fields of papers citing papers by Qingxia Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingxia Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Qingxia Lu. A scholar is included among the top collaborators of Qingxia Lu 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 Qingxia Lu. Qingxia Lu 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
3.
Guo, Zhenhua, Qingxia Lu, Qianyue Jin, et al.. (2024). Phylogenetically evolutionary analysis provides insights into the genetic diversity and adaptive evolution of porcine deltacoronavirus. BMC Veterinary Research. 20(1). 22–22. 2 indexed citations
4.
Chen, Xiao, Qiang Wei, Fusheng Si, et al.. (2023). Design and Identification of a Novel Antiviral Affinity Peptide against Fowl Adenovirus Serotype 4 (FAdV-4) by Targeting Fiber2 Protein. Viruses. 15(4). 821–821. 5 indexed citations
5.
Guo, Zhenhua, Guangxu Xing, Peng Li, et al.. (2022). Development and application of a recombinase-aided amplification and lateral flow assay for rapid detection of pseudorabies virus from clinical crude samples. International Journal of Biological Macromolecules. 224. 646–652. 8 indexed citations
6.
Wang, Jing, Junfeng Chen, Qiang Ma, et al.. (2022). Identification and characterization of circRNAs related to meat quality during embryonic development of the longissimus dorsi muscle in two pig breeds. Frontiers in Genetics. 13. 1019687–1019687. 7 indexed citations
7.
Sun, Yaning, Rui Li, Jifei Yang, et al.. (2022). Development of a p72 trimer–based colloidal gold strip for detection of antibodies against African swine fever virus. Applied Microbiology and Biotechnology. 106(7). 2703–2714. 40 indexed citations
8.
Wang, Jing, Baosong Xing, Junfeng Chen, et al.. (2021). Castration induced circRNA expressional changes in subcutaneous adipose tissue of male pigs. Animal Science Journal. 92(1). e13648–e13648. 6 indexed citations
9.
Li, Rui, Songlin Qiao, Xinxin Chen, et al.. (2021). Vimentin rearrangement by phosphorylation is beneficial for porcine reproductive and respiratory syndrome virus replication in vitro. Veterinary Microbiology. 259. 109133–109133. 22 indexed citations
10.
Chen, Xinxin, Songlin Qiao, Rui Li, et al.. (2021). Porcine reproductive and respiratory syndrome virus increases SOCS3 production via activation of p38/AP-1 signaling pathway to promote viral replication. Veterinary Microbiology. 257. 109075–109075. 10 indexed citations
11.
Lu, Qingxia, Fangyu Wang, Guangxu Xing, et al.. (2020). Phylogenetic analysis of porcine circovirus type 2 (PCV2) between 2015 and 2018 in Henan Province, China. BMC Veterinary Research. 16(1). 6–6. 37 indexed citations
12.
Teng, Man, Huizhen Li, Qingxia Lu, et al.. (2017). Marek’s disease virus type 1 encoded analog of miR-155 promotes proliferation of chicken embryo fibroblast and DF-1 cells by targeting hnRNPAB. Veterinary Microbiology. 207. 210–218. 15 indexed citations
13.
Lu, Qingxia, Fangyu Wang, Qianyue Jin, et al.. (2017). Selection of affinity peptides for the purification potential of porcine circovirus type 2 (PCV2) Cap virus-like particles (VLPs). RSC Advances. 7(62). 38911–38914. 6 indexed citations
15.
Xu, Xiaopeng, Lichao Huang, Shaoping Weng, et al.. (2010). Tetraodon nigroviridis as a nonlethal model of infectious spleen and kidney necrosis virus (ISKNV) infection. Virology. 406(2). 167–175. 30 indexed citations
16.
Xu, Xiaopeng, Lichao Huang, Jianmin Wu, et al.. (2010). Administration of recombinant IFN1 protects zebrafish (Danio rerio) from ISKNV infection. Fish & Shellfish Immunology. 29(3). 399–406. 46 indexed citations
17.
Xu, Xiaopeng, Qingxia Lu, Rui Wang, et al.. (2010). Identification of the VP92R gene from infectious spleen and kidney necrosis virus. Virus Genes. 41(2). 210–217. 4 indexed citations
18.
Zhang, Chaozheng, Zhi-Xin Yin, Wei He, et al.. (2009). Cloning of IRAK1 and its upregulation in symptomatic mandarin fish infected with ISKNV. Biochemical and Biophysical Research Communications. 383(3). 298–302. 25 indexed citations
19.
Luo, Yongwen, Shaoping Weng, Qing Wang, et al.. (2009). Tiger frog virus can infect zebrafish cells for studying up- or down-regulated genes by proteomics approach. Virus Research. 144(1-2). 171–179. 29 indexed citations
20.
Xu, Xiaopeng, et al.. (2007). Characterization of a membrane protein (VP001L) from infectious spleen and kidney necrosis virus (ISKNV). Virus Genes. 36(1). 157–167. 5 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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