Kui Yang

2.5k total citations
77 papers, 1.9k citations indexed

About

Kui Yang is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Kui Yang has authored 77 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 24 papers in Epidemiology and 19 papers in Genetics. Recurrent topics in Kui Yang's work include Herpesvirus Infections and Treatments (24 papers), Cytomegalovirus and herpesvirus research (14 papers) and Virus-based gene therapy research (12 papers). Kui Yang is often cited by papers focused on Herpesvirus Infections and Treatments (24 papers), Cytomegalovirus and herpesvirus research (14 papers) and Virus-based gene therapy research (12 papers). Kui Yang collaborates with scholars based in China, United States and Pakistan. Kui Yang's co-authors include Joel D. Baines, Xuejun Sun, Jianbao Zheng, Kenneth A. Iczkowski, Junhui Yu, Elizabeth Wills, Rui Zhao, Bin He, Chunbao Wang and Fred L. Homa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Kui Yang

76 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kui Yang China 27 935 561 430 327 277 77 1.9k
Heather L. Howie United States 20 693 0.7× 614 1.1× 393 0.9× 288 0.9× 147 0.5× 37 1.7k
Helen P. Price United Kingdom 21 738 0.8× 653 1.2× 269 0.6× 430 1.3× 277 1.0× 60 2.2k
Wendy K. Glenn Australia 22 439 0.5× 676 1.2× 651 1.5× 324 1.0× 197 0.7× 38 1.6k
Gilles A. Spoden Germany 21 639 0.7× 435 0.8× 222 0.5× 304 0.9× 244 0.9× 23 1.4k
Pamela A. Norton United States 27 1.1k 1.2× 409 0.7× 206 0.5× 256 0.8× 240 0.9× 56 2.2k
Steven J. Werden United States 19 813 0.9× 326 0.6× 574 1.3× 345 1.1× 296 1.1× 23 1.6k
Cord C. Uphoff Germany 27 945 1.0× 323 0.6× 335 0.8× 573 1.8× 170 0.6× 59 2.2k
Huizhou Fan United States 20 852 0.9× 306 0.5× 434 1.0× 192 0.6× 176 0.6× 50 1.6k
Tony Blick Australia 21 908 1.0× 761 1.4× 558 1.3× 158 0.5× 354 1.3× 52 1.9k
Sudhakar Jha Singapore 25 1.6k 1.7× 403 0.7× 552 1.3× 143 0.4× 272 1.0× 44 2.2k

Countries citing papers authored by Kui Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kui Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kui Yang. A scholar is included among the top collaborators of Kui 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 Kui Yang. Kui 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.
2.
Yang, Kui, Géraldine Folch, Hayden Brochu, et al.. (2025). Development of ferret immune repertoire reference resources and single-cell-based high-throughput profiling assays. Journal of Virology. 99(4). e0018125–e0018125. 1 indexed citations
3.
Gong, Wenbin, et al.. (2024). 4‐Octyl itaconate blocks GSDMB‐mediated pyroptosis and restricts inflammation by inactivating granzyme A. Cell Proliferation. 57(12). e13711–e13711. 7 indexed citations
4.
Deng, Liting, et al.. (2024). GSDMB interacts with IGF2BP1 to suppress colorectal cancer progression by modulating DUSP6-ERK pathway. International Immunopharmacology. 143(Pt 1). 113280–113280. 3 indexed citations
5.
Liang, Xisong, Zeyu Wang, Ziyu Dai, et al.. (2022). Glioblastoma glycolytic signature predicts unfavorable prognosis, immunological heterogeneity, and ENO1 promotes microglia M2 polarization and cancer cell malignancy. Cancer Gene Therapy. 30(3). 481–496. 20 indexed citations
6.
Zhang, Jingwei, Shuwang Li, Fangkun Liu, & Kui Yang. (2022). Role of CD68 in tumor immunity and prognosis prediction in pan-cancer. Scientific Reports. 12(1). 7844–7844. 44 indexed citations
7.
Guo, Jing, Jianbao Zheng, Zilu Chen, et al.. (2021). GW4064 enhances the chemosensitivity of colorectal cancer to oxaliplatin by inducing pyroptosis. Biochemical and Biophysical Research Communications. 548. 60–66. 56 indexed citations
8.
Fan, Fan, Hao Zhang, Ziyu Dai, et al.. (2021). A comprehensive prognostic signature for glioblastoma patients based on transcriptomics and single cell sequencing. Cellular Oncology. 44(4). 917–935. 29 indexed citations
9.
Yu, Junhui, Zhengshui Xu, Jing Guo, et al.. (2021). Tumor-associated macrophages (TAMs) depend on MMP1 for their cancer-promoting role. Cell Death Discovery. 7(1). 343–343. 34 indexed citations
10.
Zhang, Hao, Yulai Zhou, Xinxing Wang, et al.. (2021). B2M overexpression correlates with malignancy and immune signatures in human gliomas. Scientific Reports. 11(1). 5045–5045. 43 indexed citations
11.
Xu, Shengchao, Xizhe Li, Lu Tang, et al.. (2021). CD74 Correlated With Malignancies and Immune Microenvironment in Gliomas. Frontiers in Molecular Biosciences. 8. 706949–706949. 27 indexed citations
12.
Zhao, Changzhi, Hailong Liu, Tianhe Xiao, et al.. (2020). CRISPR screening of porcine sgRNA library identifies host factors associated with Japanese encephalitis virus replication. Nature Communications. 11(1). 5178–5178. 61 indexed citations
13.
Yu, Junhui, Dong Liu, Xuejun Sun, et al.. (2019). CDX2 inhibits the proliferation and tumor formation of colon cancer cells by suppressing Wnt/β-catenin signaling via transactivation of GSK-3β and Axin2 expression. Cell Death and Disease. 10(1). 26–26. 133 indexed citations
14.
Zhang, Liyang, Xiaolu Ge, Zheng Li, et al.. (2017). Fibroblasts play a potential role in bone destruction via osteopontin related caldesmon expression and polymerization in human non-functioning pituitary adenomas. Scientific Reports. 7(1). 17523–17523. 6 indexed citations
15.
Wang, Chao, Kui Yang, Jing Liu, et al.. (2015). Genome Wide Distributions and Functional Characterization of Copy Number Variations between Chinese and Western Pigs. PLoS ONE. 10(7). e0131522–e0131522. 19 indexed citations
16.
Li, Lu, Jiawen Zhu, Kui Yang, et al.. (2014). Changes in gene expression of Actinobacillus pleuropneumoniae in response to anaerobic stress reveal induction of central metabolism and biofilm formation. The Journal of Microbiology. 52(6). 473–481. 16 indexed citations
17.
Yang, Kui, Yunsheng Liu, Zhixiong Liu, et al.. (2013). p38γ overexpression in gliomas and its role in proliferation and apoptosis. Scientific Reports. 3(1). 2089–2089. 30 indexed citations
18.
Yang, Kui, Elizabeth Wills, & Joel D. Baines. (2012). Release of the herpes simplex virus 1 protease by self cleavage is required for proper conformation of the portal vertex. Virology. 429(1). 63–73. 7 indexed citations
19.
Travanty, Emily A., et al.. (2008). MAP kinase pathways and calcitonin influence CD44 alternate isoform expression in prostate cancer cells. BMC Cancer. 8(1). 260–260. 19 indexed citations
20.

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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