Kun Xu

1.8k total citations · 1 hit paper
65 papers, 1.3k citations indexed

About

Kun Xu is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Kun Xu has authored 65 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 14 papers in Genetics and 7 papers in Immunology. Recurrent topics in Kun Xu's work include CRISPR and Genetic Engineering (22 papers), RNA and protein synthesis mechanisms (10 papers) and Viral Infectious Diseases and Gene Expression in Insects (9 papers). Kun Xu is often cited by papers focused on CRISPR and Genetic Engineering (22 papers), RNA and protein synthesis mechanisms (10 papers) and Viral Infectious Diseases and Gene Expression in Insects (9 papers). Kun Xu collaborates with scholars based in China, United States and United Kingdom. Kun Xu's co-authors include Zhiying Zhang, Yuan‐Ping Pang, Franklyn G. Prendergast, Emanuele Perola, Chonghua Ren, Jamal El Yazal, Tingting Zhang, Zhongtian Liu, Jie Lei and Rui Wang and has published in prestigious journals such as Journal of Biological Chemistry, ACS Nano and PLoS ONE.

In The Last Decade

Kun Xu

61 papers receiving 1.3k citations

Hit Papers

Oxygen Self-Generating Nanoreactor Mediated Ferroptosis A... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Xu China 21 918 159 151 106 103 65 1.3k
Guillermo Senisterra Canada 29 2.1k 2.2× 125 0.8× 104 0.7× 112 1.1× 56 0.5× 47 2.5k
Luciano Pirone Italy 21 798 0.9× 132 0.8× 53 0.4× 65 0.6× 64 0.6× 70 1.2k
Sebastian Bittrich United States 12 762 0.8× 79 0.5× 131 0.9× 66 0.6× 40 0.4× 23 1.1k
Xiaohui Yuan China 23 565 0.6× 321 2.0× 76 0.5× 63 0.6× 76 0.7× 69 1.4k
R. Rajasekaran India 19 763 0.8× 107 0.7× 124 0.8× 56 0.5× 32 0.3× 112 1.4k
Alessandra Tosco Italy 25 1.0k 1.1× 69 0.4× 77 0.5× 125 1.2× 47 0.5× 75 1.6k
Dana Reichmann Israel 23 1.3k 1.4× 159 1.0× 101 0.7× 48 0.5× 52 0.5× 43 1.7k
Koji Tomoo Japan 25 1.2k 1.4× 81 0.5× 55 0.4× 206 1.9× 47 0.5× 78 1.8k
Uwe Horn Germany 22 809 0.9× 61 0.4× 87 0.6× 90 0.8× 82 0.8× 40 1.3k

Countries citing papers authored by Kun Xu

Since Specialization
Citations

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

Fields of papers citing papers by Kun Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Xu. A scholar is included among the top collaborators of Kun Xu 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 Xu. Kun Xu 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.
Luo, Jinque, Ling Wang, Li Zhang, et al.. (2025). Targeting adipocyte differentiation with CRT0066101: activation of AMPK signaling in 3T3-L1 cells. Frontiers in Pharmacology. 16. 1645587–1645587.
2.
Jia, Mengzhen, Yihang Zhao, Jun Hu, et al.. (2025). Gut microbial-derived indole-3-propionate improves cognitive function in Alzheimer’s disease. Science Advances. 11(48). eadw8410–eadw8410.
3.
Wen, Jianian, et al.. (2025). Shaking-table tests on a steel cable-stayed bridge with spatial irregular pylons. Engineering Structures. 344. 121345–121345.
4.
Wei, Yinghui, Pengfei Gao, Deng Pan, et al.. (2025). Engineering eukaryotic transposon-encoded Fanzor2 system for genome editing in mammals. Nature Chemical Biology. 22(1). 48–57. 2 indexed citations
6.
Yue, Feng Yun, Xiaojun Zhang, Kun Xu, et al.. (2024). Genetically engineering of Saccharomyces cerevisiae for enhanced oral delivery vaccine vehicle. Fish & Shellfish Immunology. 146. 109425–109425. 2 indexed citations
7.
Yan, Nana, Qiang Chen, Xin Wang, et al.. (2023). Efficient CRISPR/Cas9-mediated gene editing in mammalian cells by the novel selectable traffic light reporters. International Journal of Biological Macromolecules. 243. 124926–124926. 2 indexed citations
8.
Li, Ke, Kun Xu, Ye He, et al.. (2023). Oxygen Self-Generating Nanoreactor Mediated Ferroptosis Activation and Immunotherapy in Triple-Negative Breast Cancer. ACS Nano. 17(5). 4667–4687. 94 indexed citations breakdown →
9.
Xu, Kun, Ye Yao, Huijun Liu, et al.. (2022). ITGB4 deficiency induces DNA damage by downregulating HDAC1 in airway epithelial cells under stress stimulation. Pediatric Allergy and Immunology. 33(10). e13871–e13871. 2 indexed citations
10.
Xu, Kun, et al.. (2022). Severe acute respiratory syndrome coronavirus 2 virus-like particles induce dendritic cell maturation and modulate T cell immunity. Frontiers in Cellular and Infection Microbiology. 12. 986350–986350. 9 indexed citations
11.
Li, Qian, et al.. (2022). Development of a universal antibiotic resistance screening reporter for improving efficiency of cytosine and adenine base editing. Journal of Biological Chemistry. 298(7). 102103–102103. 1 indexed citations
12.
Ling, Yong, Jing Guo, Peng Zhu, et al.. (2017). Development of novel β-carboline-based hydroxamate derivatives as HDAC inhibitors with antiproliferative and antimetastatic activities in human cancer cells. European Journal of Medicinal Chemistry. 144. 398–409. 39 indexed citations
13.
Yan, Qiang, Kun Xu, Tingting Zhang, et al.. (2016). Multiplex CRISPR/Cas9-based genome engineering enhanced by Drosha-mediated sgRNA-shRNA structure. Scientific Reports. 6(1). 38970–38970. 21 indexed citations
14.
Xu, Kun, Zhongtian Liu, Long Zhang, Tingting Zhang, & Zhiying Zhang. (2015). SiRNA In Vivo-Targeted Delivery to Murine Dendritic Cells by Oral Administration of Recombinant Yeast. Methods in molecular biology. 1364. 165–181. 5 indexed citations
15.
Wang, Yani, Wei Wei, Xue‐Hui Zhang, et al.. (2015). Association of Interleukin-1 Gene Single Nucleotide Polymorphisms with Keratoconus in Chinese Han Population. Current Eye Research. 41(5). 1–6. 23 indexed citations
16.
Qiao, Xuguang, et al.. (2014). Rabbit MSTN gene polymorphisms and genetic effect analysis. Genetics and Molecular Research. 13(2). 2590–2597. 7 indexed citations
17.
Xu, Kun, Chonghua Ren, Zhongtian Liu, et al.. (2014). Efficient genome engineering in eukaryotes using Cas9 from Streptococcus thermophilus. Cellular and Molecular Life Sciences. 72(2). 383–399. 61 indexed citations
18.
Zhang, Tingting, Lin Sun, Ying Xin, et al.. (2012). A vaccine grade of yeast Saccharomyces cerevisiae expressing mammalian myostatin. BMC Biotechnology. 12(1). 97–97. 18 indexed citations
19.
Pang, Yuan‐Ping, Emanuele Perola, Kun Xu, & Franklyn G. Prendergast. (2001). EUDOC: a computer program for identification of drug interaction sites in macromolecules and drug leads from chemical databases. Journal of Computational Chemistry. 22(15). 1750–1771. 74 indexed citations
20.
Pang, Yuan‐Ping, Kun Xu, Thomas M. Kollmeyer, et al.. (2001). Discovery of a new inhibitor lead of adenovirus proteinase: steps toward selective, irreversible inhibitors of cysteine proteinases. FEBS Letters. 502(3). 93–97. 27 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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