Kun Shi

754 total citations
51 papers, 532 citations indexed

About

Kun Shi is a scholar working on Epidemiology, Agronomy and Crop Science and Infectious Diseases. According to data from OpenAlex, Kun Shi has authored 51 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 13 papers in Agronomy and Crop Science and 11 papers in Infectious Diseases. Recurrent topics in Kun Shi's work include Animal Disease Management and Epidemiology (11 papers), Vector-Borne Animal Diseases (7 papers) and Virus-based gene therapy research (6 papers). Kun Shi is often cited by papers focused on Animal Disease Management and Epidemiology (11 papers), Vector-Borne Animal Diseases (7 papers) and Virus-based gene therapy research (6 papers). Kun Shi collaborates with scholars based in China, Pakistan and Egypt. Kun Shi's co-authors include Ying Zong, Rui Du, Jianming Li, Xue Leng, Jianming Li, Hongchao Zhou, Hui Wang, Qing‐Long Gong, Tian Tian and Quan Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecules and Frontiers in Microbiology.

In The Last Decade

Kun Shi

45 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Shi China 14 145 114 105 98 88 51 532
Chenwen Xiao China 10 133 0.9× 135 1.2× 64 0.6× 49 0.5× 147 1.7× 22 622
Zahid Iqbal Rajput China 11 210 1.4× 204 1.8× 88 0.8× 54 0.6× 128 1.5× 18 657
Ahmed Elsify Egypt 13 212 1.5× 313 2.7× 66 0.6× 42 0.4× 76 0.9× 51 656
Mehrdad Ameri United States 17 153 1.1× 89 0.8× 80 0.8× 31 0.3× 92 1.0× 40 660
Siju Susan Jacob India 11 131 0.9× 199 1.7× 36 0.3× 71 0.7× 56 0.6× 52 416
Harmanjit Singh Banga India 10 88 0.6× 92 0.8× 62 0.6× 74 0.8× 37 0.4× 65 403
Xinglong Yu China 17 251 1.7× 40 0.4× 94 0.9× 295 3.0× 144 1.6× 41 764
B.M. Anene Nigeria 12 133 0.9× 97 0.9× 36 0.3× 125 1.3× 41 0.5× 59 546
D. Bednarek Poland 11 85 0.6× 37 0.3× 103 1.0× 122 1.2× 36 0.4× 77 522
Nir Edery Israel 13 77 0.5× 53 0.5× 81 0.8× 30 0.3× 108 1.2× 33 417

Countries citing papers authored by Kun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Kun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Shi. A scholar is included among the top collaborators of Kun Shi 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 Kun Shi. Kun Shi 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, Ziqiang, Siyun Wang, Shuai Lü, et al.. (2025). Isolation and characterization of a novel K3-type capsule-targeting phage for the treatment of carbapenem-resistant Acinetobacter baumannii. Microbiology Spectrum. 13(12). e0109825–e0109825.
2.
Shi, Kun, Zhe Zhang, Zhong Fan, et al.. (2025). Metronidazole-ursodeoxycholic acid bifunctional antibacterial: A promising strategy to combat Clostridium difficile infection and prevent recurrence. European Journal of Medicinal Chemistry. 291. 117631–117631.
3.
Liu, Xinyue, Kun Shi, Jianming Li, et al.. (2025). Mycobacterium tuberculosis Rv3435c gene regulates inflammatory cytokines and is involved in lung injury and mycobacterial survival in mice. Microbial Pathogenesis. 199. 107247–107247. 1 indexed citations
4.
Liang, Ji‐An, Tingting Wang, Qi Wang, et al.. (2024). Prevalence of canine distemper in minks, foxes and raccoon dogs from 1983 to 2023 in Asia, North America, South America and Europe. Frontiers in Veterinary Science. 11. 1394631–1394631.
5.
Zheng, Wei, Qi Wang, Chunyu Wang, et al.. (2024). Worldwide Swine Tuberculosis-Positive Rate and Associated Risk Factors, 1966–2020: A Systematic Review and Meta-Analysis. Vector-Borne and Zoonotic Diseases. 24(4). 181–195.
6.
Zhao, Dan, Rui Zhang, Jin‐Biao Xu, et al.. (2023). Mycobacterium tuberculosis Rv3435c regulates inflammatory cytokines and promotes the intracellular survival of recombinant Mycobacteria. Acta Tropica. 246. 106974–106974. 2 indexed citations
7.
Jia, Boyin, Xin Li, Xintong Han, et al.. (2023). Deer antler reserve mesenchyme cells with hyaluronan alleviates cartilage damage in a rat model. SHILAP Revista de lepidopterología. 1(2). 180–194.
8.
Tian, Tian, Qi Wang, Ning He, et al.. (2023). ARHGEF18 can promote BVDV NS5B activation of the host NF-κB signaling pathway by combining with the NS5B-palm domain. Veterinary Microbiology. 291. 109911–109911. 1 indexed citations
9.
Wang, Qi, Tian Tian, Jianming Li, et al.. (2023). Prevalence and risk factors of Klebsiella spp. in milk samples from dairy cows with mastitis—A global systematic review. Frontiers in Veterinary Science. 10. 1143257–1143257. 19 indexed citations
10.
Zhang, Ke, et al.. (2023). Protective Effect of Baicalin on Chlorpyrifos-Induced Liver Injury and Its Mechanism. Molecules. 28(23). 7771–7771. 6 indexed citations
11.
Jia, Boyin, Jianming Li, Kun Shi, et al.. (2022). Comparison of miRNA and mRNA Expression in Sika Deer Testes With Age. Frontiers in Veterinary Science. 9. 854503–854503. 9 indexed citations
12.
Wang, Qi, Tian Tian, Ziyang Chen, et al.. (2022). A Meta-Analysis of Bovine Chlamydia Prevalence in Cattle in China from 1989 to 2020. Vector-Borne and Zoonotic Diseases. 22(2). 76–92. 1 indexed citations
13.
He, Zhongmei, Kun Shi, Yan Zhao, et al.. (2021). [Study on antidepressant effect of total alkaloids of Fibraurea recisa].. PubMed. 46(14). 3678–3686. 2 indexed citations
14.
Li, Dong, Ying Zhou, Bo Zhao, et al.. (2021). Prevalence of Bovine Tuberculosis in Yaks Between 1982 and 2020 in Mainland China: A Systematic Review and Meta-Analysis. Vector-Borne and Zoonotic Diseases. 21(6). 397–405. 3 indexed citations
15.
Gong, Qing‐Long, et al.. (2021). Prevalence of Chlamydia in Pigs in China from 1985 to 2020: A Systematic Review and Meta-Analysis. Vector-Borne and Zoonotic Diseases. 21(7). 517–533. 4 indexed citations
16.
Gong, Qing‐Long, Rui Zhang, Ziyang Chen, et al.. (2021). Prevalence and risk factors of bluetongue virus infection in sheep and goats in China: A systematic review and meta-analysis. Microbial Pathogenesis. 161(Pt A). 105170–105170. 12 indexed citations
17.
Liu, Fei, Jianming Li, Ying Zong, et al.. (2018). Prevalence and Risk Factors of Brucellosis, Chlamydiosis, and Bluetongue Among Sika Deer in Jilin Province in China. Vector-Borne and Zoonotic Diseases. 18(4). 226–230. 13 indexed citations
18.
Leng, Xue, Dongxu Liu, Jianming Li, et al.. (2018). Genetic diversity and phylogenetic analysis of Aleutian mink disease virus isolates in north-east China. Archives of Virology. 163(5). 1241–1251. 8 indexed citations
19.
Li, Jianming, Kun Shi, Fanli Zeng, et al.. (2017). Construction and Immunogenicity Analysis of Whole-Gene Mutation DNA Vaccine of Aleutian Mink Virus Isolated Virulent Strain. Viral Immunology. 31(1). 69–77. 11 indexed citations
20.
Zhang, Xiao‐Xuan, Wei Shi, Nian‐Zhang Zhang, et al.. (2017). Prevalence and genetic characterization of Toxoplasma gondii in donkeys in northeastern China. Infection Genetics and Evolution. 54. 455–457. 15 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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