Kun Xia

451 total citations
21 papers, 313 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 21 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Genetics. Recurrent topics in Kun Xia's work include Mitochondrial Function and Pathology (3 papers), RNA Interference and Gene Delivery (3 papers) and Genetic Neurodegenerative Diseases (3 papers). Kun Xia is often cited by papers focused on Mitochondrial Function and Pathology (3 papers), RNA Interference and Gene Delivery (3 papers) and Genetic Neurodegenerative Diseases (3 papers). Kun Xia collaborates with scholars based in China, Russia and France. Kun Xia's co-authors include Qi Zhang, Shu‐Hua Cheng, Jie Chen, Xinchun Yang, Yunfei Xu, Jie Chen, Ting Yang, Zhuo Chen, Meng Li and Xu Li and has published in prestigious journals such as Gene, Journal of Endodontics and Journal of the Neurological Sciences.

In The Last Decade

Kun Xia

20 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kun Xia China	9	150	96	33	32	31	21	313
Wenzhong Zhu China	11	153 1.0×	109 1.1×	25 0.8×	13 0.4×	12 0.4×	22	317
Mi Nam Lee South Korea	10	152 1.0×	32 0.3×	27 0.8×	27 0.8×	6 0.2×	13	341
Min Lian China	13	172 1.1×	70 0.7×	127 3.8×	37 1.2×	4 0.1×	24	425
Chau-Zen Wang Taiwan	11	140 0.9×	21 0.2×	31 0.9×	35 1.1×	5 0.2×	13	475
Kateřina Štefková Czechia	6	163 1.1×	26 0.3×	28 0.8×	8 0.3×	7 0.2×	7	302
Roko Bjelica Croatia	5	160 1.1×	55 0.6×	57 1.7×	19 0.6×	5 0.2×	9	491
Wenxin Yu United States	11	120 0.8×	35 0.4×	5 0.2×	31 1.0×	23 0.7×	23	496
Yadav Wagley United States	13	244 1.6×	77 0.8×	10 0.3×	14 0.4×	6 0.2×	24	470
Vu Anh Truong Taiwan	11	313 2.1×	36 0.4×	48 1.5×	10 0.3×	9 0.3×	16	443
Jie Jian China	10	269 1.8×	91 0.9×	32 1.0×	3 0.1×	22 0.7×	17	492

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

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20 of 20 papers shown

Xia, Kun, et al.. (2025). Role of SMYD2 in gastrointestinal cancer progression (Review). Oncology Letters. 29(6). 1–12.

Chen, Jie, et al.. (2021). Resolvin E1 accelerates pulp repair by regulating inflammation and stimulating dentin regeneration in dental pulp stem cells. Stem Cell Research & Therapy. 12(1). 75–75. 64 indexed citations

Xia, Kun, Zhuo Chen, Jie Chen, et al.. (2020). <p>RGD- and VEGF-Mimetic Peptide Epitope-Functionalized Self-Assembling Peptide Hydrogels Promote Dentin-Pulp Complex Regeneration</p>. International Journal of Nanomedicine. Volume 15. 6631–6647. 52 indexed citations

Chen, Jie, et al.. (2019). Resolvin E1 Ameliorates Pulpitis by Suppressing Dental Pulp Fibroblast Activation in a Chemerin Receptor 23-dependent Manner. Journal of Endodontics. 45(9). 1126–1134.e1. 23 indexed citations

Li, Meng, Yuefeng Wang, Xinchun Yang, et al.. (2018). Circulating Long Noncoding RNA LIPCAR Acts as a Novel Biomarker in Patients with ST-Segment Elevation Myocardial Infarction. Medical Science Monitor. 24. 5064–5070. 54 indexed citations

Xia, Kun, Rongjing Ding, Zhiyong Zhang, et al.. (2017). The association of eight potentially functional polymorphisms in five adrenergic receptor-encoding genes with myocardial infarction risk in Han Chinese. Gene. 624. 43–49. 11 indexed citations

Li, Weiming, Zhiyong Zhang, Kun Xia, et al.. (2017). Predictive Nomogram of RAGE Genetic Polymorphisms and Metabolic Risk Factors for Myocardial Infarction Risk in a Han Chinese Population. Angiology. 68(10). 877–883. 11 indexed citations

Zhou, Jianda, Rui Liu, Chengqun Luo, et al.. (2014). MiR-20a inhibits cutaneous squamous cell carcinoma metastasis and proliferation by directly targeting LIMK1. Cancer Biology & Therapy. 15(10). 1340–1349. 36 indexed citations

Xu, Dan, Ming Zhou, Bimei Jiang, et al.. (2012). Let-7b and microRNA-199a inhibit the proliferation of B16F10 melanoma cells. Oncology Letters. 4(5). 941–946. 20 indexed citations

10.

Yan, Yaping, Dantao Peng, Jun Tian, et al.. (2011). Essential sequence of the N-terminal cytoplasmic localization-related domain of huntingtin and its effect on huntingtin aggregates. Science China Life Sciences. 54(4). 342–350. 2 indexed citations

11.

Zhang, Baorong, Jun Tian, Yaping Yan, et al.. (2011). CCG polymorphisms in the huntingtin gene have no effect on the pathogenesis of patients with Huntington's disease in mainland Chinese families. Journal of the Neurological Sciences. 312(1-2). 92–96. 8 indexed citations

12.

Xue, Jinfeng, Xionghao Liu, Qiang He, et al.. (2009). <I>In vitro</I> Efficacy of mda-7 Gene for Hepatocellular Carcinoma Gene Therapy Mediated by Human Ribosomal DNA Targeting Vector*. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 36(11). 1429–1435. 1 indexed citations

13.

Wang, Shuhui, et al.. (2009). [GJB2 (connexin 26) gene mutation screen in patients with nonsydromic hearing loss in Hunan].. PubMed. 34(6). 498–503. 2 indexed citations

14.

Zeng, Qiao, Qian Pan, Kun Xia, et al.. (2008). Efficient Derivation of Mesenchymal Stem Cells and Neural Precursor Cells from Human Embryonic Stem Cells through Teratoma Formation. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 35(12). 1417–1424. 2 indexed citations

15.

Yang, Mei, Jieqiong Tan, Zhigao Long, et al.. (2008). Screening of LRRK2 interactants by yeast 2-hybrid analysis.. PubMed. 33(10). 883–91. 10 indexed citations

16.

Xiao, Zian, et al.. (2006). [Functional interaction of the C-terminal of Nogo protein with connexin 26 and the expression of Nogo's mRNA in the murine inner ear].. PubMed. 23(5). 492–6. 2 indexed citations

17.

Guo, Jifeng, Beisha Tang, Yuhu Zhang, et al.. (2006). [Genotype and phenotype analyses of three families with autosomal recessive juvenile parkinsonism].. PubMed. 23(1). 70–3. 2 indexed citations

18.

Shen, Lu, Jianguang Tang, Beisha Tang, et al.. (2005). Research on screening and identification of proteins interacting with ataxin-3.. PubMed. 22(3). 242–7. 7 indexed citations

19.

Xiao, Zian, et al.. (2004). [Mutation screening in selected exons of myosin 7a gene in prelingual non-syndromic hearing impairment patients].. PubMed. 39(9). 538–42. 1 indexed citations

20.

Xue, Zhigang, Duo Zheng, Jianming Ruan, et al.. (2003). [Silica nanoparticles modified as carriers for gene transfection].. PubMed. 30(7). 606–10. 2 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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