Xiaoting Jia

1.8k total citations
31 papers, 1.2k citations indexed

About

Xiaoting Jia is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Xiaoting Jia has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 19 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Xiaoting Jia's work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (9 papers) and RNA modifications and cancer (9 papers). Xiaoting Jia is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (9 papers) and RNA modifications and cancer (9 papers). Xiaoting Jia collaborates with scholars based in China and United States. Xiaoting Jia's co-authors include Zhimin He, Guopei Zheng, Jiang Yin, Zhijie Zhang, Yixue Gu, Hao Liu, Ying Song, Min Deng, Minying Lu and Kai Luo and has published in prestigious journals such as Nature Communications, Cancer Research and Oncogene.

In The Last Decade

Xiaoting Jia

29 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoting Jia China 19 941 585 227 87 77 31 1.2k
Shuang Han China 16 793 0.8× 589 1.0× 239 1.1× 85 1.0× 74 1.0× 21 1.1k
Ye Song China 18 776 0.8× 507 0.9× 186 0.8× 168 1.9× 73 0.9× 44 1.1k
Haibo Han China 17 735 0.8× 510 0.9× 262 1.2× 111 1.3× 57 0.7× 42 1.0k
Changzheng Liu China 16 882 0.9× 782 1.3× 147 0.6× 75 0.9× 67 0.9× 33 1.3k
Angélique Gougèlet France 15 602 0.6× 348 0.6× 184 0.8× 78 0.9× 54 0.7× 23 976
Zhangqian Chen China 14 700 0.7× 421 0.7× 227 1.0× 115 1.3× 78 1.0× 19 961
Dong Hoon Shin South Korea 16 491 0.5× 311 0.5× 271 1.2× 152 1.7× 78 1.0× 40 830
Venugopal Gunda United States 16 642 0.7× 572 1.0× 282 1.2× 76 0.9× 26 0.3× 33 1.1k

Countries citing papers authored by Xiaoting Jia

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoting Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoting Jia. A scholar is included among the top collaborators of Xiaoting Jia 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 Xiaoting Jia. Xiaoting Jia 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.
2.
Wang, Dongchen, et al.. (2024). Associations of artificial sweetener intake with cardiometabolic disorders and mortality: a population-based study. British Journal Of Nutrition. 132(8). 1065–1072. 3 indexed citations
3.
Jia, Xiaoting, Jiawen Tian, Jing Dong, et al.. (2024). Methylation-modulated PFTK1 regulates gefitinib resistance via Wnt/β-catenin signaling in EGFR mutant non-small-cell lung cancer cells. Communications Biology. 7(1). 1649–1649. 2 indexed citations
4.
Jia, Xiaoting, Ge Wang, Lihong Wu, et al.. (2023). XBP1‐elicited environment by chemotherapy potentiates repopulation of tongue cancer cells by enhancing miR‐22/lncRNA/KAT6B‐dependent NF‐κB signalling. Clinical and Translational Medicine. 13(1). e1166–e1166. 4 indexed citations
5.
Xing, Shan, Zhi Tian, Wenying Zheng, et al.. (2021). Hypoxia downregulated miR-4521 suppresses gastric carcinoma progression through regulation of IGF2 and FOXM1. Molecular Cancer. 20(1). 9–9. 62 indexed citations
6.
Luo, Liyun, Zhijie Zhang, Ni Qiu, et al.. (2021). Disruption of FOXO3a-miRNA feedback inhibition of IGF2/IGF-1R/IRS1 signaling confers Herceptin resistance in HER2-positive breast cancer. Nature Communications. 12(1). 2699–2699. 67 indexed citations
7.
Li, Nan, Guohua Yang, Liyun Luo, et al.. (2019). lncRNA THAP9-AS1 Promotes Pancreatic Ductal Adenocarcinoma Growth and Leads to a Poor Clinical Outcome via Sponging miR-484 and Interacting with YAP. Clinical Cancer Research. 26(7). 1736–1748. 81 indexed citations
8.
Luo, Liyun, Hailin Tang, Ling Li, et al.. (2018). LINC01638 lncRNA activates MTDH-Twist1 signaling by preventing SPOP-mediated c-Myc degradation in triple-negative breast cancer. Oncogene. 37(47). 6166–6179. 104 indexed citations
9.
Gu, Yixue, Hao Liu, Jiahui Ye, et al.. (2018). miR-22/KAT6B axis is a chemotherapeutic determiner via regulation of PI3k-Akt-NF-kB pathway in tongue squamous cell carcinoma. Journal of Experimental & Clinical Cancer Research. 37(1). 164–164. 42 indexed citations
10.
Zheng, Guopei, Zhijie Zhang, Hao Liu, et al.. (2017). HSP27-Mediated Extracellular and Intracellular Signaling Pathways Synergistically Confer Chemoresistance in Squamous Cell Carcinoma of Tongue. Clinical Cancer Research. 24(5). 1163–1175. 30 indexed citations
11.
Deng, Min, Ruixin Zhang, Qinwei Qiu, et al.. (2017). TET-Mediated Sequestration of miR-26 Drives EZH2 Expression and Gastric Carcinogenesis. Cancer Research. 77(22). 6069–6082. 42 indexed citations
12.
Deng, Min, Chao Zeng, HE Xiu-sheng, et al.. (2017). miR-218 suppresses gastric cancer cell cycle progression through the CDK6/Cyclin D1/E2F1 axis in a feedback loop. Cancer Letters. 403. 175–185. 88 indexed citations
13.
Jia, Xiaoting, Zhijie Zhang, Kai Luo, et al.. (2017). TCRP1 transcriptionally regulated by c-Myc confers cancer chemoresistance in tongue and lung cancer. Scientific Reports. 7(1). 3744–3744. 16 indexed citations
14.
Zhou, Xinke, Jitao Chen, Xiao Feng, et al.. (2017). Negative regulation of Sirtuin 1 by AMP-activated protein kinase promotes metformin-induced senescence in hepatocellular carcinoma xenografts. Cancer Letters. 411. 1–11. 17 indexed citations
15.
Zheng, Guopei, Nan Li, Xiaoting Jia, et al.. (2016). MYCN-mediated miR-21 overexpression enhances chemo-resistance via targeting CADM1 in tongue cancer. Journal of Molecular Medicine. 94(10). 1129–1141. 32 indexed citations
16.
Zheng, Guopei, Xiaoting Jia, Cong Peng, et al.. (2015). The miR-491-3p/mTORC2/FOXO1 regulatory loop modulates chemo-sensitivity in human tongue cancer. Oncotarget. 6(9). 6931–6943. 36 indexed citations
17.
Zheng, Guopei, Cong Peng, Xiaoting Jia, et al.. (2015). ZEB1 transcriptionally regulated carbonic anhydrase 9 mediates the chemoresistance of tongue cancer via maintaining intracellular pH. Molecular Cancer. 14(1). 84–84. 34 indexed citations
18.
Liu, Hao, Yixue Gu, Jiang Yin, et al.. (2014). SET-mediated NDRG1 inhibition is involved in acquisition of epithelial-to-mesenchymal transition phenotype and cisplatin resistance in human lung cancer cell. Cellular Signalling. 26(12). 2710–2720. 34 indexed citations
19.
Gao, Yi, Zhimin He, Xiaoting Jia, et al.. (2013). Low concentration of metformin induces a p53-dependent senescence in hepatoma cells via activation of the AMPK pathway. International Journal of Oncology. 43(5). 1503–1510. 77 indexed citations
20.
Liu, Jifang, Min Hou, Yi Gao, et al.. (2012). Enhanced cytotoxic effect of low doses of metformin combined with ionizing radiation on hepatoma cells via ATP deprivation and inhibition of DNA repair. Oncology Reports. 28(4). 1406–1412. 46 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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