Xin Gui

1.2k total citations
23 papers, 976 citations indexed

About

Xin Gui is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Xin Gui has authored 23 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Cancer Research and 5 papers in Biomedical Engineering. Recurrent topics in Xin Gui's work include RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (9 papers) and MicroRNA in disease regulation (9 papers). Xin Gui is often cited by papers focused on RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (9 papers) and MicroRNA in disease regulation (9 papers). Xin Gui collaborates with scholars based in China. Xin Gui's co-authors include Tianming Li, Dongdong Lu, Pu Hu, Qidi Zheng, Mengying Wu, Haiyan Li, Xiaoru Xin, Jiahui An, Xiaonan Li and Yanan Lu and has published in prestigious journals such as PLoS ONE, Biomaterials and Journal of Agricultural and Food Chemistry.

In The Last Decade

Xin Gui

23 papers receiving 969 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin Gui China 16 758 646 93 84 58 23 976
Sichong Han China 10 540 0.7× 468 0.7× 29 0.3× 70 0.8× 47 0.8× 15 664
Yongchun Yu China 12 515 0.7× 387 0.6× 47 0.5× 83 1.0× 86 1.5× 18 721
Haidong Gao China 17 643 0.8× 246 0.4× 81 0.9× 96 1.1× 210 3.6× 46 923
Amber Gonda United States 13 553 0.7× 295 0.5× 33 0.4× 82 1.0× 61 1.1× 25 701
Jin Zeng China 22 946 1.2× 720 1.1× 56 0.6× 59 0.7× 117 2.0× 63 1.4k
Agnes T. Reiner Austria 12 982 1.3× 764 1.2× 35 0.4× 91 1.1× 95 1.6× 23 1.2k
Jinrong Wang China 12 429 0.6× 268 0.4× 29 0.3× 94 1.1× 91 1.6× 22 770
Bikash Chandra Jena India 13 451 0.6× 236 0.4× 50 0.5× 79 0.9× 144 2.5× 24 667
Jessica Gasparello Italy 19 631 0.8× 350 0.5× 42 0.5× 32 0.4× 50 0.9× 72 967
Anna Lyberopoulou Greece 10 428 0.6× 446 0.7× 30 0.3× 114 1.4× 123 2.1× 14 739

Countries citing papers authored by Xin Gui

Since Specialization
Citations

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

Fields of papers citing papers by Xin Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Gui

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Gui. A scholar is included among the top collaborators of Xin Gui 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 Xin Gui. Xin Gui 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.
Li, Ji, Jie Liu, Letao Yang, et al.. (2024). Smart nanozymes coupled with dynamic magnet field and laser exposures for cancer therapy. Journal of Colloid and Interface Science. 676. 110–126. 4 indexed citations
2.
Wang, Bo, Jie Liu, Zefei Zhang, et al.. (2023). Magnetotactic Bacteria-Based Drug-Loaded Micromotors for Highly Efficient Magnetic and Biological Double-Targeted Tumor Therapy. ACS Applied Materials & Interfaces. 15(2). 2747–2759. 28 indexed citations
3.
4.
Li, Jiao, Chunli Xu, Junfang Zhang, et al.. (2021). Identification of miRNA-Target Gene Pairs in the Parietal and Frontal Lobes of the Brain in Patients with Alzheimer’s Disease Using Bioinformatic Analyses. Neurochemical Research. 46(4). 964–979. 10 indexed citations
5.
Yang, Yuxin, Shuting Song, Qiuyu Meng, et al.. (2020). miR24‐2 accelerates progression of liver cancer cells by activating Pim1 through tri‐methylation of Histone H3 on the ninth lysine. Journal of Cellular and Molecular Medicine. 24(5). 2772–2790. 20 indexed citations
6.
Wang, Chen, Xiaoxue Jiang, Xiaonan Li, et al.. (2020). Long noncoding RNA HULC accelerates the growth of human liver cancer stem cells by upregulating CyclinD1 through miR675-PKM2 pathway via autophagy. Stem Cell Research & Therapy. 11(1). 8–8. 35 indexed citations
7.
Xin, Xiaoru, Yanan Lu, Ying‐Jie Chen, et al.. (2020). miR-155 Accelerates the Growth of Human Liver Cancer Cells by Activating CDK2 via Targeting H3F3A. Molecular Therapy — Oncolytics. 17. 471–483. 19 indexed citations
8.
9.
Jiang, Xiaoxue, Libo Xing, Yingjie Chen, et al.. (2020). CircMEG3 inhibits telomerase activity by reducing Cbf5 in human liver cancer stem cells. Molecular Therapy — Nucleic Acids. 23. 310–323. 39 indexed citations
10.
Wang, Liyan, Xiaonan Li, Wei Zhang, et al.. (2019). miR24-2 Promotes Malignant Progression of Human Liver Cancer Stem Cells by Enhancing Tyrosine Kinase Src Epigenetically. Molecular Therapy. 28(2). 572–586. 26 indexed citations
11.
Lu, Yanan, Qiuyu Meng, Chen Wang, et al.. (2018). miR372 Promotes Progression of Liver Cancer Cells by Upregulating erbB-2 through Enhancement of YB-1. Molecular Therapy — Nucleic Acids. 11. 494–507. 21 indexed citations
12.
Zheng, Qidi, Jie Xu, Yanan Lu, et al.. (2018). Long noncoding RNA MEG3 suppresses liver cancer cells growth through inhibiting β-catenin by activating PKM2 and inactivating PTEN. Cell Death and Disease. 9(3). 253–253. 97 indexed citations
13.
Li, Haizhou, Min Li, Xin Gui, et al.. (2018). Microbial diversity and component variation in Xiaguan Tuo Tea during pile fermentation. PLoS ONE. 13(2). e0190318–e0190318. 15 indexed citations
14.
Lu, Yanan, Shuting Song, Xiaoxue Jiang, et al.. (2018). miR675 Accelerates Malignant Transformation of Mesenchymal Stem Cells by Blocking DNA Mismatch Repair. Molecular Therapy — Nucleic Acids. 14. 171–183. 7 indexed citations
15.
Xin, Xiaoru, Mengying Wu, Qiuyu Meng, et al.. (2018). Long noncoding RNA HULC accelerates liver cancer by inhibiting PTEN via autophagy cooperation to miR15a. Molecular Cancer. 17(1). 94–94. 169 indexed citations
16.
Zhao, Zhehao, Siran Yu, Min Li, Xin Gui, & Ping Li. (2018). Isolation of Exosome-Like Nanoparticles and Analysis of MicroRNAs Derived from Coconut Water Based on Small RNA High-Throughput Sequencing. Journal of Agricultural and Food Chemistry. 66(11). 2749–2757. 95 indexed citations
17.
Zheng, Qidi, Xiaonan Li, Xiaoru Xin, et al.. (2016). Inflammatory cytokine IL6 cooperates with CUDR to aggravate hepatocyte-like stem cells malignant transformation through NF-κB signaling. Scientific Reports. 6(1). 36843–36843. 22 indexed citations
18.
Gui, Xin, Haiyan Li, Tianming Li, Pu Hu, & Dongdong Lu. (2015). Long Noncoding RNA CUDR Regulates HULC and β-Catenin to Govern Human Liver Stem Cell Malignant Differentiation. Molecular Therapy. 23(12). 1843–1853. 67 indexed citations
19.
Hu, Pu, Qidi Zheng, Haiyan Li, et al.. (2015). CUDR promotes liver cancer stem cell growth through upregulating TERT and C-Myc. Oncotarget. 6(38). 40775–40798. 70 indexed citations
20.
Li, Haiyan, Jiahui An, Mengying Wu, et al.. (2015). LncRNA HOTAIR promotes human liver cancer stem cell malignant growth through downregulation of SETD2. Oncotarget. 6(29). 27847–27864. 137 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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