Shao‐Lun Zhai

1.5k total citations
59 papers, 1.0k citations indexed

About

Shao‐Lun Zhai is a scholar working on Infectious Diseases, Animal Science and Zoology and Epidemiology. According to data from OpenAlex, Shao‐Lun Zhai has authored 59 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Infectious Diseases, 25 papers in Animal Science and Zoology and 22 papers in Epidemiology. Recurrent topics in Shao‐Lun Zhai's work include Animal Virus Infections Studies (25 papers), Virus-based gene therapy research (20 papers) and Viral gastroenteritis research and epidemiology (19 papers). Shao‐Lun Zhai is often cited by papers focused on Animal Virus Infections Studies (25 papers), Virus-based gene therapy research (20 papers) and Viral gastroenteritis research and epidemiology (19 papers). Shao‐Lun Zhai collaborates with scholars based in China, United States and Hong Kong. Shao‐Lun Zhai's co-authors include Wen‐Kang Wei, Dian‐Hong Lv, Xiao-Hui Wen, Tao Lin, Shishan Yuan, Dan Wang, Xia Zhou, Jinxue Long, Shengnan Chen and Runxia Liu and has published in prestigious journals such as Journal of Virology, Scientific Reports and Frontiers in Microbiology.

In The Last Decade

Shao‐Lun Zhai

57 papers receiving 995 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shao‐Lun Zhai China 17 603 529 416 278 238 59 1.0k
Tamás Mató Hungary 18 699 1.2× 559 1.1× 301 0.7× 402 1.4× 179 0.8× 41 1.1k
Bailey Arruda United States 16 537 0.9× 404 0.8× 272 0.7× 112 0.4× 339 1.4× 51 852
Gerard Martín‐Valls Spain 16 443 0.7× 458 0.9× 207 0.5× 268 1.0× 114 0.5× 43 832
Yu Huang China 17 588 1.0× 490 0.9× 323 0.8× 189 0.7× 276 1.2× 81 923
Junsuke Shirai Japan 15 493 0.8× 597 1.1× 173 0.4× 110 0.4× 260 1.1× 77 879
Feng-Xue Wang China 15 322 0.5× 326 0.6× 298 0.7× 180 0.6× 78 0.3× 43 626
Eda Altan United States 19 358 0.6× 490 0.9× 242 0.6× 235 0.8× 88 0.4× 48 838
Matteo Legnardi Italy 17 638 1.1× 490 0.9× 319 0.8× 236 0.8× 167 0.7× 68 888
Lok R. Joshi United States 17 258 0.4× 398 0.8× 180 0.4× 154 0.6× 158 0.7× 35 793
Beatrice Grafl Austria 15 663 1.1× 499 0.9× 571 1.4× 139 0.5× 122 0.5× 35 941

Countries citing papers authored by Shao‐Lun Zhai

Since Specialization
Citations

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

Fields of papers citing papers by Shao‐Lun Zhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao‐Lun Zhai. 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 Shao‐Lun Zhai. The network helps show where Shao‐Lun Zhai may publish in the future.

Co-authorship network of co-authors of Shao‐Lun Zhai

This figure shows the co-authorship network connecting the top 25 collaborators of Shao‐Lun Zhai. A scholar is included among the top collaborators of Shao‐Lun Zhai 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 Shao‐Lun Zhai. Shao‐Lun Zhai 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.
Zhai, Shao‐Lun, et al.. (2024). Increasing spillover of highly pathogenic avian influenza A (H5N1) virus to mammals. New Microbes and New Infections. 62. 101459–101459. 3 indexed citations
2.
Meng, Jiajia, Mingwei Zhao, Chunling Li, et al.. (2024). Rapid detection of zoonotic Streptococcus suis serotype 2 and 14 by enzyme-activated probe fluorescence quantitative PCR method. BMC Veterinary Research. 20(1). 510–510.
3.
4.
Wang, Zhao, Yunxia Chen, Siyu Wu, et al.. (2024). The Thermal Stability of Influenza Viruses in Milk. Viruses. 16(11). 1766–1766. 3 indexed citations
5.
Li, Yan, Xia Zhou, Kunli Zhang, et al.. (2023). Development of a multiplex qRT-PCR assay for the detection of porcine epidemic diarrhea virus, porcine transmissible gastroenteritis virus and porcine Deltacoronavirus. Frontiers in Veterinary Science. 10. 1158585–1158585. 11 indexed citations
6.
7.
Li, Yan, Hongchao Gou, Zhiyong Jiang, et al.. (2023). RPA-CRISPR/Cas12a-Based Detection of Haemophilus parasuis. Animals. 13(21). 3317–3317. 17 indexed citations
8.
Meng, Jiajia, Chunling Li, Yu Wang, et al.. (2022). Accelerated loop-mediated isothermal amplification method for the rapid detection of Streptococcus suis serotypes 2 and 14 based on single nucleotide polymorphisms. Frontiers in Cellular and Infection Microbiology. 12. 1034762–1034762. 7 indexed citations
9.
Yu, Jieshi, Zhenyu Wen, Siyu Wu, et al.. (2022). Identification of D/Yama2019 Lineage-Like Influenza D Virus in Chinese Cattle. Frontiers in Veterinary Science. 9. 939456–939456. 10 indexed citations
10.
Zhai, Shao‐Lun, et al.. (2021). Genome Characterization and Phylogenetic Analysis of the First Bovine Rhinitis B Virus Isolate in China. Frontiers in Veterinary Science. 8. 721284–721284. 3 indexed citations
11.
Zhou, Xia, Weifang Liang, Jinhui Li, et al.. (2021). Buffalo-Origin Seneca Valley Virus in China: First Report, Isolation, Genome Characterization, and Evolution Analysis. Frontiers in Veterinary Science. 8. 730701–730701. 9 indexed citations
12.
Zhai, Shao‐Lun, et al.. (2018). Investigating the drivers of 2013-2017 PM 2.5 trends in China. AGUFM. 2018. 1 indexed citations
13.
Zhai, Shao‐Lun, Xia Zhou, He Zhang, et al.. (2017). Comparative epidemiology of porcine circovirus type 3 in pigs with different clinical presentations. Virology Journal. 14(1). 222–222. 86 indexed citations
14.
Zhang, He, Xia Zhou, Junqiong Zhai, et al.. (2017). Outbreak and genotyping of canine distemper virus in captive Siberian tigers and red pandas. Scientific Reports. 7(1). 8132–8132. 27 indexed citations
15.
Zhai, Shao‐Lun, et al.. (2017). Preliminary serological evidence for Schmallenberg virus infection in China. Tropical Animal Health and Production. 50(2). 449–453. 18 indexed citations
16.
Li, Xiaopeng, Shao‐Lun Zhai, Pengju Guo, et al.. (2015). Genome characterization and phylogenetic analysis of a lineage IV peste des petits ruminants virus in southern China. Virus Genes. 51(3). 361–366. 9 indexed citations
17.
Hu, Jianxin, Shao‐Lun Zhai, Sheng Zeng, et al.. (2015). Identification of natural recombinants derived from PCV2a and PCV2b. Genetics and Molecular Research. 14(4). 11780–11790. 6 indexed citations
18.
Zhai, Shao‐Lun, Shengnan Chen, Xiaojing Li, et al.. (2014). Porcine circovirus type 2 in China: an update on and insights to its prevalence and control. Virology Journal. 11(1). 88–88. 76 indexed citations
19.
Zhai, Shao‐Lun, Wenbao Qi, Shengnan Chen, et al.. (2014). Complete genome characterization and phylogenetic analysis of three distinct buffalo-origin PCV2 isolates from China. Infection Genetics and Evolution. 28. 278–282. 12 indexed citations
20.
Zhai, Shao‐Lun, Shengnan Chen, Zuzhang Wei, et al.. (2011). Co-existence of multiple strains of porcine circovirus type 2 in the same pig from China. Virology Journal. 8(1). 517–517. 43 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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