Kankan Yang

441 total citations
29 papers, 328 citations indexed

About

Kankan Yang is a scholar working on Animal Science and Zoology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Kankan Yang has authored 29 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Animal Science and Zoology, 11 papers in Infectious Diseases and 11 papers in Molecular Biology. Recurrent topics in Kankan Yang's work include Animal Virus Infections Studies (17 papers), Viral gastroenteritis research and epidemiology (10 papers) and Virus-based gene therapy research (10 papers). Kankan Yang is often cited by papers focused on Animal Virus Infections Studies (17 papers), Viral gastroenteritis research and epidemiology (10 papers) and Virus-based gene therapy research (10 papers). Kankan Yang collaborates with scholars based in China and Taiwan. Kankan Yang's co-authors include Xiangjun Song, Ying Shao, Jian Tu, Kezong Qi, Dongdong Yin, Yong Wang, Yongdong Li, Qi Liu, Shudong Jiang and Liang Xu and has published in prestigious journals such as International Journal of Molecular Sciences, Gene and Analytical and Bioanalytical Chemistry.

In The Last Decade

Kankan Yang

27 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kankan Yang China 12 138 136 130 115 54 29 328
Zhi Wu China 10 83 0.6× 74 0.5× 108 0.8× 50 0.4× 44 0.8× 43 326
Ana Lorena Gutiérrez‐Escolano Mexico 15 157 1.1× 157 1.2× 311 2.4× 90 0.8× 145 2.7× 33 511
Xinsheng Liu China 12 83 0.6× 135 1.0× 159 1.2× 69 0.6× 47 0.9× 29 322
Tangjie Zhang China 8 119 0.9× 75 0.6× 80 0.6× 59 0.5× 31 0.6× 20 329
Xiaoqiong Duan China 12 197 1.4× 165 1.2× 221 1.7× 122 1.1× 26 0.5× 30 547
Qingxia Lu China 11 85 0.6× 142 1.0× 95 0.7× 87 0.8× 58 1.1× 29 349
Colin Kern United States 15 416 3.0× 127 0.9× 79 0.6× 135 1.2× 34 0.6× 24 634
Nianchao Qian China 7 78 0.6× 211 1.6× 266 2.0× 84 0.7× 20 0.4× 10 418
Jingjing Lan China 12 55 0.4× 196 1.4× 119 0.9× 76 0.7× 141 2.6× 22 299
Gao Feng-shan China 10 104 0.8× 65 0.5× 62 0.5× 34 0.3× 53 1.0× 23 261

Countries citing papers authored by Kankan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kankan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kankan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kankan Yang. A scholar is included among the top collaborators of Kankan Yang 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 Kankan Yang. Kankan Yang 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.
Gai, Min‐Tao, et al.. (2025). Comparative analysis of codon usage bias and host adaptation across avian metapneumovirus genotypes. Poultry Science. 104(9). 105428–105428.
2.
Zhang, Teng, et al.. (2024). Re-emergence of severe acute diarrhea syndrome coronavirus (SADS-CoV) in Henan, central China, 2023. Veterinary Microbiology. 292. 110049–110049. 9 indexed citations
3.
Zhang, Teng, et al.. (2024). Recombinant porcine interferon delta 8 inhibits swine acute diarrhoea syndrome coronavirus infection in vitro and in vivo. Veterinary Research. 55(1). 92–92. 2 indexed citations
4.
Guo, Xu, Yingying Zhang, Yang Pan, et al.. (2023). Phylogenetic Analysis and Codon Usage Bias Reveal the Base of Feline and Canine Chaphamaparvovirus for Cross-Species Transmission. Animals. 13(16). 2617–2617. 2 indexed citations
5.
Guo, Xu, et al.. (2023). Non-adaptive evolution in codon usage of human-origin monkeypox virus. Comparative Immunology Microbiology and Infectious Diseases. 100. 102024–102024.
6.
Wei, Jing, Yanan Li, Yingli Cao, et al.. (2022). Rapid and Visual Detection of Porcine Parvovirus Using an ERA-CRISPR/Cas12a System Combined With Lateral Flow Dipstick Assay. Frontiers in Cellular and Infection Microbiology. 12. 879887–879887. 12 indexed citations
7.
Li, Yuqing, Yanli Zhao, Chen Li, et al.. (2022). Rapid detection of porcine circovirus type 4 via multienzyme isothermal rapid amplification. Frontiers in Veterinary Science. 9. 949172–949172. 12 indexed citations
10.
Xu, Liang, Qi Liu, Yingli Cao, et al.. (2021). Enzymatic recombinase amplification coupled with CRISPR-Cas12a for ultrasensitive, rapid, and specific Porcine circovirus 3 detection. Molecular and Cellular Probes. 59. 101763–101763. 20 indexed citations
11.
Yang, Kankan, Yanan Li, Qi Liu, et al.. (2021). Reverse transcription–enzymatic recombinase amplification coupled with CRISPR-Cas12a for rapid detection and differentiation of PEDV wild-type strains and attenuated vaccine strains. Analytical and Bioanalytical Chemistry. 413(30). 7521–7529. 31 indexed citations
12.
Yin, Dongdong, Ying Shao, Kankan Yang, et al.. (2021). Fowl adenovirus serotype 4 uses gga-miR-181a-5p expression to facilitate viral replication via targeting of STING. Veterinary Microbiology. 263. 109276–109276. 10 indexed citations
13.
Yang, Kankan, Dongdong Yin, Liang Xu, et al.. (2020). A TaqMan-based quantitative real-time PCR assay for identification of the goose circovirus. Molecular and Cellular Probes. 52. 101564–101564. 5 indexed citations
14.
Wang, Yong, Xu Guo, Yu Zhou, et al.. (2020). Genetic characterization and phylogenetic analysis of feline astrovirus from Anhui province in eastern China. 3 Biotech. 10(8). 354–354. 8 indexed citations
15.
Yin, Dongdong, Mei Xue, Kankan Yang, et al.. (2020). Molecular characterization and pathogenicity of highly pathogenic fowl adenovirus serotype 4 isolated from laying flock with hydropericardium-hepatitis syndrome. Microbial Pathogenesis. 147. 104381–104381. 11 indexed citations
16.
Wang, Yong, et al.. (2020). Genomic and phylogenetic characteristics of a novel goose astrovirus in Anhui Province, Central-Eastern China. Gene. 756. 144898–144898. 17 indexed citations
17.
Yang, Kankan, Liang Xu, Dongdong Yin, et al.. (2020). Simultaneous differentiation and diagnosis of goose parvovirus and astrovirus in clinical samples with duplex SYBR Green I real-time PCR. Molecular and Cellular Probes. 52. 101561–101561. 13 indexed citations
18.
Yang, Kankan, et al.. (2019). <p>FOXM1 promotes the growth and metastasis of colorectal cancer via activation of &beta;-catenin signaling pathway</p>. Cancer Management and Research. Volume 11. 3779–3790. 23 indexed citations
19.
Wang, Yong, Kankan Yang, Dongdong Yin, et al.. (2017). Development of a SYBR Green I real-time PCR for the detection of the orf virus. AMB Express. 7(1). 21–21. 22 indexed citations
20.
Yang, Kankan, et al.. (2015). Short hairpin RNA- mediated gene knockdown of FOXM1 inhibits the proliferation and metastasis of human colon cancer cells through reversal of epithelial-to-mesenchymal transformation. Journal of Experimental & Clinical Cancer Research. 34(1). 130–130. 30 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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