Kun Xia

1.6k total citations
42 papers, 1.1k citations indexed

About

Kun Xia is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Kun Xia has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 13 papers in Genetics and 11 papers in Cognitive Neuroscience. Recurrent topics in Kun Xia's work include Autism Spectrum Disorder Research (11 papers), Genetics and Neurodevelopmental Disorders (11 papers) and Genomic variations and chromosomal abnormalities (5 papers). Kun Xia is often cited by papers focused on Autism Spectrum Disorder Research (11 papers), Genetics and Neurodevelopmental Disorders (11 papers) and Genomic variations and chromosomal abnormalities (5 papers). Kun Xia collaborates with scholars based in China, United States and France. Kun Xia's co-authors include Hong Ma, Ze’ev A. Ronai, Xiaoxi Zhuang, Wei Jiang, Hui Xiong, Zhuohua Zhang, Danling Wang, Chengyuan Tang, Linan Chen and Zhong Sheng Sun and has published in prestigious journals such as Journal of Clinical Investigation, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Kun Xia

38 papers receiving 1.1k 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 Xia China 17 576 320 222 178 165 42 1.1k
Anthony J. Griswold United States 18 651 1.1× 350 1.1× 236 1.1× 63 0.4× 101 0.6× 75 1.4k
Cristina Cheroni Italy 18 629 1.1× 127 0.4× 122 0.5× 515 2.9× 405 2.5× 37 1.6k
Vincenzo Capece Germany 14 934 1.6× 217 0.7× 62 0.3× 92 0.5× 81 0.5× 14 1.2k
Claude Marineau Canada 15 619 1.1× 441 1.4× 220 1.0× 160 0.9× 116 0.7× 19 1.2k
Jennifer Skaug Canada 10 1.1k 1.9× 572 1.8× 319 1.4× 407 2.3× 54 0.3× 11 1.8k
F. Lucy Raymond United Kingdom 25 1.0k 1.8× 727 2.3× 106 0.5× 74 0.4× 74 0.4× 51 1.8k
Jonathan Picker United States 24 1.0k 1.7× 1.3k 4.0× 670 3.0× 62 0.3× 127 0.8× 47 2.1k
Lam Son Nguyen Australia 17 785 1.4× 352 1.1× 159 0.7× 24 0.1× 67 0.4× 21 1.2k
María Dolores Rubio Spain 13 593 1.0× 259 0.8× 178 0.8× 30 0.2× 94 0.6× 20 1.1k
Mark Corbett Australia 24 1.4k 2.4× 715 2.2× 79 0.4× 84 0.5× 77 0.5× 72 2.5k

Countries citing papers authored by Kun Xia

Since Specialization
Citations

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

Fields of papers citing papers by Kun Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Xia. A scholar is included among the top collaborators of Kun Xia 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 Xia. Kun Xia 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.
Xia, Kun, Hui Chen, Haijun Yu, et al.. (2025). TEMPO-Catalyzed Electrochemical Hydrobenzylation of Imines with Methylarenes via Radical Cascade Reaction. The Journal of Organic Chemistry. 90(40). 14253–14259.
2.
Jiang, Ming, et al.. (2025). CRISPR/Cas12a-Based Biosensing: Advances in Mechanisms and Applications for Nucleic Acid Detection. Biosensors. 15(6). 360–360. 5 indexed citations
3.
Zhao, Chao, et al.. (2025). Maternal Immune Activation and Neurodevelopmental Disorders: Integrating Molecular, Cellular and Systems Mechanisms. Neuropsychiatric Disease and Treatment. Volume 21. 2575–2594.
4.
Chen, Hui, et al.. (2024). Transition metal-free C(sp3)–H selenation of β-ketosulfones. Organic & Biomolecular Chemistry. 22(10). 2075–2080. 5 indexed citations
5.
Liu, Changhong, et al.. (2023). Photocatalytic generation of 1,4-disubstituted 1,2,3-triazoles under metal, oxidant and azide-free conditions. Green Synthesis and Catalysis. 5(1). 62–67. 6 indexed citations
6.
Chen, Weijun, Haofeng Xiong, Can Wang, et al.. (2023). DEC1 is a potential marker of early metastasis in Oral squamous cell carcinoma. Tissue and Cell. 82. 102094–102094. 1 indexed citations
7.
Naeem, Muhammad Asif, et al.. (2020). A founder RDH5 splice site mutation leads to retinitis punctata albescens in two inbred Pakistani kindreds. Ophthalmic Genetics. 41(1). 7–12. 1 indexed citations
8.
Zhang, Yi, Na Li, Chao Li, et al.. (2020). Genetic evidence of gender difference in autism spectrum disorder supports the female-protective effect. Translational Psychiatry. 10(1). 4–4. 105 indexed citations
9.
Li, Jinchen, Shanshan Hu, Kun Zhang, et al.. (2018). A comparative study of the genetic components of three subcategories of autism spectrum disorder. Molecular Psychiatry. 24(11). 1720–1731. 22 indexed citations
10.
Liu, Yuwen, Yanyu Liang, A. Ercüment Çiçek, et al.. (2018). A Statistical Framework for Mapping Risk Genes from De Novo Mutations in Whole-Genome-Sequencing Studies. The American Journal of Human Genetics. 102(6). 1031–1047. 20 indexed citations
11.
Wang, Yan, Cheng Zeng, Jinchen Li, et al.. (2018). PAK2 Haploinsufficiency Results in Synaptic Cytoskeleton Impairment and Autism-Related Behavior. Cell Reports. 24(8). 2029–2041. 67 indexed citations
12.
Ma, Changbei, Kefeng Wu, Han Zhao, et al.. (2018). Fluorometric aptamer-based determination of ochratoxin A based on the use of graphene oxide and RNase H-aided amplification. Microchimica Acta. 185(7). 347–347. 42 indexed citations
13.
Li, Jinchen, Lin Wang, Hui Guo, et al.. (2017). Targeted sequencing and functional analysis reveal brain-size-related genes and their networks in autism spectrum disorders. Molecular Psychiatry. 22(9). 1282–1290. 68 indexed citations
14.
Zeng, Qinghai, Qi Wang, Xiang Chen, et al.. (2015). Analysis of lncRNAs expression in UVB-induced stress responses of melanocytes. Journal of Dermatological Science. 81(1). 53–60. 59 indexed citations
15.
Pan, Yongcheng, Jingjing Chen, Hui Guo, et al.. (2015). Association of genetic variants of GRIN2B with autism. Scientific Reports. 5(1). 8296–8296. 38 indexed citations
16.
Xu, Xiaojuan, Zhimin Xiong, Lusi Zhang, et al.. (2014). Variations analysis of NLGN3 and NLGN4X gene in Chinese autism patients. Molecular Biology Reports. 41(6). 4133–4140. 30 indexed citations
17.
Liao, Xinxin, Yingying Luo, Kai Li, et al.. (2013). Association study between SNP rs150689919 in the DNA demethylation gene, TET1, and Parkinson’s disease in Chinese Han population. BMC Neurology. 13(1). 196–196. 8 indexed citations
18.
Tian, Di, Janet Lee, Jing Zeng, et al.. (2013). Clinical and Genetic Identification of a Large Chinese Family with Autosomal Dominant Retinitis Pigmentosa. Ophthalmic Genetics. 36(1). 64–69. 12 indexed citations
19.
Luo, Sushan, Xinxin Xu, Hui Peng, et al.. (2012). Novel FLG mutations associated with ichthyosis vulgaris in the Chinese population. Clinical and Experimental Dermatology. 37(2). 177–180. 5 indexed citations
20.
Xiong, Hui, Danling Wang, Linan Chen, et al.. (2009). Parkin, PINK1, and DJ-1 form a ubiquitin E3 ligase complex promoting unfolded protein degradation. Journal of Clinical Investigation. 119(3). 650–660. 311 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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