Kun Xia

15.2k total citations
403 papers, 7.0k citations indexed

About

Kun Xia is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Kun Xia has authored 403 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 207 papers in Molecular Biology, 111 papers in Cellular and Molecular Neuroscience and 98 papers in Genetics. Recurrent topics in Kun Xia's work include Genetic Neurodegenerative Diseases (57 papers), Genetics and Neurodevelopmental Disorders (53 papers) and Autism Spectrum Disorder Research (46 papers). Kun Xia is often cited by papers focused on Genetic Neurodegenerative Diseases (57 papers), Genetics and Neurodevelopmental Disorders (53 papers) and Autism Spectrum Disorder Research (46 papers). Kun Xia collaborates with scholars based in China, United States and France. Kun Xia's co-authors include Beisha Tang, Qian Pan, Zhengmao Hu, Hong Jiang, Lu Shen, Zhuohua Zhang, Xinxiang Yan, Jifeng Guo, Junling Wang and Zhigao Long and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Kun Xia

386 papers receiving 6.9k 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 41 3.8k 1.6k 1.3k 1.2k 822 403 7.0k
Avi Orr‐Urtreger Israel 47 4.7k 1.2× 1.5k 0.9× 1.1k 0.9× 1.9k 1.6× 835 1.0× 194 8.6k
Jian Feng United States 47 4.8k 1.3× 2.9k 1.9× 1.0k 0.8× 1.1k 0.9× 403 0.5× 124 8.5k
Maria C. Marchetto United States 34 6.6k 1.7× 1.7k 1.1× 1.7k 1.3× 859 0.7× 1.6k 1.9× 75 10.0k
Ype Elgersma Netherlands 50 4.8k 1.3× 2.1k 1.3× 2.0k 1.6× 735 0.6× 873 1.1× 148 8.1k
Zheng Li China 47 4.6k 1.2× 2.4k 1.5× 609 0.5× 840 0.7× 571 0.7× 173 8.7k
Takanori Yokota Japan 43 3.4k 0.9× 1.4k 0.9× 393 0.3× 1.8k 1.4× 846 1.0× 282 7.2k
Tatsushi Toda Japan 49 5.9k 1.6× 2.4k 1.6× 1.1k 0.9× 2.3k 1.8× 684 0.8× 339 9.6k
Paul C. Orban Canada 26 3.7k 1.0× 1.6k 1.0× 1.4k 1.1× 452 0.4× 393 0.5× 47 8.2k
Alysson R. Muotri United States 54 8.7k 2.3× 2.0k 1.3× 2.7k 2.1× 610 0.5× 518 0.6× 172 12.5k
Masayuki Sasaki Japan 34 3.3k 0.9× 1.8k 1.2× 800 0.6× 1.2k 1.0× 552 0.7× 303 6.4k

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.
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Yang, Feng, Toshiyuki Mizui, Yasuyuki Ishikawa, et al.. (2024). Inhibiting proBDNF to mature BDNF conversion leads to ASD-like phenotypes in vivo. Molecular Psychiatry. 29(11). 3462–3474. 9 indexed citations
3.
Han, Ying, Haofeng Xiong, Tianyi Zhang, et al.. (2024). XPO1 serves as a prognostic marker involving AKT/MAPK/TGFBR1 pathway in OSCC. Cancer Medicine. 13(16). e70076–e70076. 1 indexed citations
4.
Chen, Jing, et al.. (2024). Tight Junction Component Occludin Binds to FIP5 to Regulate Endosome Trafficking and Mitotic Spindle Function. Advanced Science. 11(30). e2308822–e2308822. 2 indexed citations
5.
Pang, Nan, Kuokuo Li, Meilin Chen, et al.. (2023). Targeted sequencing identifies risk variants in 202 candidate genes for neurodevelopmental disorders. Gene. 897. 148071–148071. 1 indexed citations
6.
Wang, Zheng, Guihu Zhao, Yijing Wang, et al.. (2023). VarCards2: an integrated genetic and clinical database for ACMG-AMP variant-interpretation guidelines in the human whole genome. Nucleic Acids Research. 52(D1). D1478–D1489. 10 indexed citations
7.
Han, Ying, Lu Xia, Xiaomeng Wang, et al.. (2022). Study on the expression and function of chordin‐like 1 in oral squamous cell carcinoma. Oral Diseases. 29(5). 2034–2051. 3 indexed citations
8.
Hu, Xin, Wei‐Ming Wang, Yue Hu, et al.. (2022). Overexpression of DEC1 in the epithelium of OSF promotes mesenchymal transition via activating FAK /Akt signal axis. Journal of Oral Pathology and Medicine. 51(9). 780–790. 5 indexed citations
9.
10.
Guevara, James P., et al.. (2021). Customized de novo mutation detection for any variant calling pipeline: SynthDNM. Bioinformatics. 37(20). 3640–3641. 3 indexed citations
11.
Hu, Xin, Jin Wu, Haofeng Xiong, et al.. (2021). Type 2 diabetes mellitus promotes the proliferation, metastasis, and suppresses the apoptosis in oral squamous cell carcinoma. Journal of Oral Pathology and Medicine. 51(5). 483–492. 14 indexed citations
12.
Hu, Xin, Kun Xia, Haofeng Xiong, & Tong Su. (2021). G3BP1 may serve as a potential biomarker of proliferation, apoptosis, and prognosis in oral squamous cell carcinoma. Journal of Oral Pathology and Medicine. 50(10). 995–1004. 16 indexed citations
13.
Gao, Fei, Wen Huang, Jie Huang, et al.. (2020). Development of Chinese genetic reference panel for Fragile X Syndrome and its application to the screen of 10,000 Chinese pregnant women and women planning pregnancy. Molecular Genetics & Genomic Medicine. 8(6). e1236–e1236. 10 indexed citations
14.
Hu, Xin, Haofeng Xiong, Wei‐Ming Wang, et al.. (2020). Study on the expression and function of smad family member 7 in oral submucous fibrosis and oral squamous cell carcinoma. Archives of Oral Biology. 112. 104687–104687. 6 indexed citations
15.
Wu, Huidan, Honghui Li, Ting Bai, et al.. (2019). Phenotype‐to‐genotype approach reveals head‐circumference‐associated genes in an autism spectrum disorder cohort. Clinical Genetics. 97(2). 338–346. 27 indexed citations
16.
Chen, Shan, Ying Hé, Fengyu Zhang, et al.. (2015). Elevated mitochondrial DNA copy number in peripheral blood cells is associated with childhood autism. BMC Psychiatry. 15(1). 50–50. 58 indexed citations
17.
Fan, Liang‐Liang, Minjie Lin, Yaqin Chen, et al.. (2015). Novel Mutations of Low-Density Lipoprotein Receptor Gene in China Patients with Familial Hypercholesterolemia. Applied Biochemistry and Biotechnology. 176(1). 101–109. 9 indexed citations
18.
Xu, Xiaojuan, Luyang Zhang, Ping Tong, et al.. (2012). Exome sequencing identifies UPF3B as the causative gene for a Chinese non‐syndrome mental retardation pedigree. Clinical Genetics. 83(6). 560–564. 32 indexed citations
19.
Chen, Hongsheng, Lu Jiang, Zhiguo Xie, et al.. (2010). Novel mutations of PAX3, MITF, and SOX10 genes in Chinese patients with type I or type II Waardenburg syndrome. Biochemical and Biophysical Research Communications. 397(1). 70–74. 57 indexed citations
20.
Xia, Jiahui, et al.. (2001). Mutation characteristic of STK_(11) gene in Chinese with Peutz-Jeghers syndrome. 18(1). 4–7. 1 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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