Xiaojing Yun

1.3k total citations
43 papers, 1.1k citations indexed

About

Xiaojing Yun is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Xiaojing Yun has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 10 papers in Oncology and 9 papers in Immunology. Recurrent topics in Xiaojing Yun's work include Glycosylation and Glycoproteins Research (7 papers), Ubiquitin and proteasome pathways (7 papers) and Cancer-related Molecular Pathways (7 papers). Xiaojing Yun is often cited by papers focused on Glycosylation and Glycoproteins Research (7 papers), Ubiquitin and proteasome pathways (7 papers) and Cancer-related Molecular Pathways (7 papers). Xiaojing Yun collaborates with scholars based in China and United States. Xiaojing Yun's co-authors include Jianxin Gu, Lei Zhou, Jiejie Xu, Yumei Wen, Jianhui Xie, Jianhai Jiang, Yuanyuan Ruan, Hongliang Zong, Haiou Liu and Yi Hong and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Xiaojing Yun

43 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
Xiaojing Yun China 19 650 200 175 130 121 43 1.1k
Thangirala Sudha United States 23 655 1.0× 214 1.1× 149 0.9× 68 0.5× 177 1.5× 46 1.2k
Qingdi Li United States 18 598 0.9× 262 1.3× 141 0.8× 88 0.7× 152 1.3× 35 1.1k
Chunlai Nie China 22 796 1.2× 293 1.5× 138 0.8× 134 1.0× 169 1.4× 57 1.3k
Yiwei Wang China 23 895 1.4× 253 1.3× 207 1.2× 107 0.8× 259 2.1× 75 1.6k
Fernando Rodríguez‐Serrano Spain 22 639 1.0× 243 1.2× 86 0.5× 80 0.6× 173 1.4× 79 1.5k
Tatiana Efimova United States 19 786 1.2× 225 1.1× 146 0.8× 81 0.6× 187 1.5× 45 1.4k
Thomas G. Turi United States 19 942 1.4× 186 0.9× 260 1.5× 130 1.0× 113 0.9× 22 1.6k
Nidhi Gupta India 23 580 0.9× 302 1.5× 90 0.5× 149 1.1× 207 1.7× 72 1.3k
Nickolai A. Barlev Russia 19 832 1.3× 316 1.6× 174 1.0× 112 0.9× 207 1.7× 61 1.4k
Zhizhong Zheng China 21 449 0.7× 117 0.6× 217 1.2× 121 0.9× 93 0.8× 65 1.1k

Countries citing papers authored by Xiaojing Yun

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojing Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojing Yun. A scholar is included among the top collaborators of Xiaojing Yun 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 Xiaojing Yun. Xiaojing Yun 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.
Yun, Xiaojing, et al.. (2019). rs895819 in microRNA-27a increase stomach neoplasms risk in China: A meta-analysis. Gene. 707. 103–108. 4 indexed citations
2.
Yun, Xiaojing, et al.. (2019). A novel oncolytic adenovirus inhibits hepatocellular carcinoma growth. Journal of Zhejiang University SCIENCE B. 20(12). 1003–1013. 9 indexed citations
3.
4.
Yun, Xiaojing, et al.. (2016). Meta-Analysis for the Therapeutic Effect of Neoadjuvant Therapy in Resectable Esophageal Cancer. Pathology & Oncology Research. 23(3). 657–663. 1 indexed citations
5.
Wang, Lan, Shifang Ren, Haiyan Zhu, et al.. (2012). Structural and functional conservation of CLEC-2 with the species-specific regulation of transcript expression in evolution. Glycoconjugate Journal. 29(5-6). 335–345. 6 indexed citations
6.
Ruan, Yuanyuan, Linlin Sun, Yuqing Hao, et al.. (2012). Ribosomal RACK1 promotes chemoresistance and growth in human hepatocellular carcinoma. Journal of Clinical Investigation. 122(7). 2554–2566. 118 indexed citations
7.
Xu, Jiejie, Haiou Liu, Lin Chen, et al.. (2012). Hepatitis B Virus X Protein Confers Resistance of Hepatoma Cells to Anoikis by Up-regulating and Activating p21-Activated Kinase 1. Gastroenterology. 143(1). 199–212.e4. 69 indexed citations
8.
Liu, Haiou, Jiejie Xu, Lei Zhou, et al.. (2011). Hepatitis B Virus Large Surface Antigen Promotes Liver Carcinogenesis by Activating the Src/PI3K/Akt Pathway. Cancer Research. 71(24). 7547–7557. 79 indexed citations
9.
Chen, Xiaoling, et al.. (2011). [The expression of connective tissue growth factor in mast cells in the development of pulmonary fibrosis].. PubMed. 27(3). 325–8. 1 indexed citations
10.
Zhou, Lei, Jianhui Xie, Yuanyuan Ruan, et al.. (2010). Expression and purification of secreted recombinant hsp60 from eukaryotic cells. Protein Expression and Purification. 72(2). 179–183. 8 indexed citations
11.
Liu, Haiou, Yi Hong, Weibin Wu, et al.. (2010). Estrogen receptor α (ERα) mediates 17β-estradiol (E2)-activated expression of HBO1. Journal of Experimental & Clinical Cancer Research. 29(1). 140–140. 13 indexed citations
12.
Zou, Weiying, Yanzhong Yang, Linlin Sun, et al.. (2010). Negative role of trihydrophobin 1 in breast cancer growth and migration. Cancer Science. 101(10). 2156–2162. 6 indexed citations
13.
Chi, Yayun, Chunyi Zhang, Hongliang Zong, et al.. (2010). Thr-370 Is Responsible for CDK11p58 Autophosphorylation, Dimerization, and Kinase Activity. Journal of Biological Chemistry. 286(3). 1748–1757. 17 indexed citations
14.
Kong, Xiangfei, Yuqing Hao, Chunming Cheng, et al.. (2009). CDK11p58 Phosphorylation of PAK1 Ser174 Promotes DLC2 Binding and Roles on Cell Cycle Progression. The Journal of Biochemistry. 146(3). 417–427. 11 indexed citations
15.
Xie, Jianhui, Liang Guo, Yuanyuan Ruan, et al.. (2009). Laminarin-mediated targeting to Dectin-1 enhances antigen-specific immune responses. Biochemical and Biophysical Research Communications. 391(1). 958–962. 39 indexed citations
16.
Guo, Liang, Jianhui Xie, Yuanyuan Ruan, et al.. (2009). Characterization and immunostimulatory activity of a polysaccharide from the spores of Ganoderma lucidum. International Immunopharmacology. 9(10). 1175–1182. 101 indexed citations
17.
Chi, Yayun, Yi Hong, Hongliang Zong, et al.. (2009). CDK11p58 represses vitamin D receptor-mediated transcriptional activation through promoting its ubiquitin–proteasome degradation. Biochemical and Biophysical Research Communications. 386(3). 493–498. 22 indexed citations
18.
Wei, Yuanyan, Dan Liu, Fengbiao Zhou, et al.. (2008). Identification of β-1,4-galactosyltransferase I as a target gene of HBx-induced cell cycle progression of hepatoma cell. Journal of Hepatology. 49(6). 1029–1037. 28 indexed citations
19.
Xie, Jianhui, Tao Wu, Liang Guo, et al.. (2008). Molecular characterization of two novel isoforms and a soluble form of mouse CLEC-2. Biochemical and Biophysical Research Communications. 371(2). 180–184. 15 indexed citations
20.
Wei, Yuanyan, Jianhai Jiang, Dan Liu, et al.. (2008). Cdc34-mediated Degradation of ATF5 Is Blocked by Cisplatin. Journal of Biological Chemistry. 283(27). 18773–18781. 20 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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