Xingjun Guo

2.6k total citations
55 papers, 1.7k citations indexed

About

Xingjun Guo is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Xingjun Guo has authored 55 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 26 papers in Cancer Research and 22 papers in Oncology. Recurrent topics in Xingjun Guo's work include MicroRNA in disease regulation (17 papers), Pancreatic and Hepatic Oncology Research (15 papers) and Cancer-related molecular mechanisms research (14 papers). Xingjun Guo is often cited by papers focused on MicroRNA in disease regulation (17 papers), Pancreatic and Hepatic Oncology Research (15 papers) and Cancer-related molecular mechanisms research (14 papers). Xingjun Guo collaborates with scholars based in China, United States and Germany. Xingjun Guo's co-authors include Jianxin Jiang, Min Wang, Ming Shen, Ruizhi He, Renyi Qin, Min Wang, Renyi Qin, Xiuhui Shi, Chencheng Xie and Shutao Pan and has published in prestigious journals such as Scientific Reports, British Journal of Cancer and Frontiers in Immunology.

In The Last Decade

Xingjun Guo

53 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingjun Guo China 26 1.0k 792 487 271 229 55 1.7k
Changwei Dou China 22 1.2k 1.2× 852 1.1× 334 0.7× 242 0.9× 198 0.9× 46 1.8k
Min‐Bin Chen China 30 1.5k 1.4× 624 0.8× 697 1.4× 216 0.8× 334 1.5× 83 2.4k
Masanobu Tsubaki Japan 31 1.2k 1.1× 660 0.8× 848 1.7× 249 0.9× 104 0.5× 93 2.2k
Beifang Ning China 23 1.4k 1.3× 929 1.2× 509 1.0× 235 0.9× 359 1.6× 36 2.2k
Longjuan Zhang China 27 1.4k 1.3× 860 1.1× 462 0.9× 205 0.8× 112 0.5× 55 2.0k
Mei Yi China 21 1.4k 1.4× 808 1.0× 442 0.9× 96 0.4× 150 0.7× 49 2.1k
Kuo‐Tai Hua Taiwan 30 1.7k 1.7× 716 0.9× 492 1.0× 114 0.4× 119 0.5× 62 2.3k
Wenting Xu China 18 872 0.8× 412 0.5× 424 0.9× 162 0.6× 104 0.5× 46 1.6k
Yijun Shu China 24 923 0.9× 546 0.7× 374 0.8× 328 1.2× 72 0.3× 53 1.4k

Countries citing papers authored by Xingjun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Xingjun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingjun Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Xingjun Guo. A scholar is included among the top collaborators of Xingjun Guo 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 Xingjun Guo. Xingjun Guo 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.
Zeng, Ning, Jing Yu, Yiping Wu, et al.. (2025). HNRNPC Promotes Keloid Progression by Modulating the Stability of N6-Methyladenosine–Modified WDR77 mRNA and Expression of TGF-β and SMAD3. Journal of Investigative Dermatology. 146(1). 236–248.e6.
2.
Zhü, Kèyù, et al.. (2024). Exosomes from mesenchymal stem cells: Potential applications in wound healing. Life Sciences. 357. 123066–123066. 13 indexed citations
3.
Yin, Taoyuan, Jingjing Wen, Simiao Xu, et al.. (2024). An E3 ubiquitin-proteasome gene signature for predicting prognosis in patients with pancreatic cancer. Frontiers in Immunology. 14. 1332626–1332626. 5 indexed citations
4.
Yu, Shuo, et al.. (2024). Resistance to gemcitabine is mediated by the circ_0036627/miR‐145/S100A16 axis in pancreatic cancer. Journal of Cellular and Molecular Medicine. 28(12). e18444–e18444. 2 indexed citations
5.
Jiang, Jianxin, Chao Yu, Xingjun Guo, et al.. (2020). G Protein-Coupled Receptor GPR87 Promotes the Expansion of PDA Stem Cells through Activating JAK2/STAT3. Molecular Therapy — Oncolytics. 17. 384–393. 12 indexed citations
6.
Guo, Xingjun, et al.. (2020). <p>Long Noncoding RNA RMRP Suppresses the Tumorigenesis of Hepatocellular Carcinoma Through Targeting microRNA-766</p>. OncoTargets and Therapy. Volume 13. 3013–3024. 6 indexed citations
7.
He, Zhiwei, Xingjun Guo, Changhao Zhu, et al.. (2019). MicroRNA-137 reduces stemness features of pancreatic cancer cells by targeting KLF12. Journal of Experimental & Clinical Cancer Research. 38(1). 126–126. 47 indexed citations
8.
He, Ruizhi, Min Wang, Chunle Zhao, et al.. (2019). TFEB-driven autophagy potentiates TGF-β induced migration in pancreatic cancer cells. Journal of Experimental & Clinical Cancer Research. 38(1). 340–340. 62 indexed citations
9.
Yu, Shuo, Xu Li, Xingjun Guo, et al.. (2018). UCK2 upregulation might serve as an indicator of unfavorable prognosis of hepatocellular carcinoma. IUBMB Life. 71(1). 105–112. 30 indexed citations
10.
Shi, Xiuhui, Xingjun Guo, Xu Li, Min Wang, & Renyi Qin. (2018). Loss of Linc01060 induces pancreatic cancer progression through vinculin-mediated focal adhesion turnover. Cancer Letters. 433. 76–85. 26 indexed citations
11.
He, Ruizhi, Xiuhui Shi, Min Zhou, et al.. (2018). Alantolactone induces apoptosis and improves chemosensitivity of pancreatic cancer cells by impairment of autophagy-lysosome pathway via targeting TFEB. Toxicology and Applied Pharmacology. 356. 159–171. 48 indexed citations
12.
Xie, Yu, Hang Zhang, Xingjun Guo, et al.. (2018). Let-7c inhibits cholangiocarcinoma growth but promotes tumor cell invasion and growth at extrahepatic sites. Cell Death and Disease. 9(2). 249–249. 24 indexed citations
13.
Chen, Hua, Chunle Zhao, Ruizhi He, et al.. (2018). Danthron suppresses autophagy and sensitizes pancreatic cancer cells to doxorubicin. Toxicology in Vitro. 54. 345–353. 37 indexed citations
14.
Guo, Xingjun, et al.. (2017). Tumor LXR Expression is a Prognostic Marker for Patients with Hepatocellular Carcinoma. Pathology & Oncology Research. 24(2). 339–344. 23 indexed citations
15.
Wang, Jie, Xingjun Guo, Chencheng Xie, & Jianxin Jiang. (2017). KIF15 promotes pancreatic cancer proliferation via the MEK–ERK signalling pathway. British Journal of Cancer. 117(2). 245–255. 74 indexed citations
16.
Wang, Jie, Xingjun Guo, Youming Ding, & Jianxin Jiang. (2017). miR-1181 inhibits invasion and proliferation via STAT3 in pancreatic cancer. World Journal of Gastroenterology. 23(9). 1594–1594. 29 indexed citations
17.
Guo, Xingjun, Min Wang, & Chengjian Shi. (2014). Expression of zonula occludens-1 and Claudin-1 and it's significance in cholangiocarcinoma. Zhonghua shiyan waike zazhi. 31(8). 1739–1741. 1 indexed citations
18.
Guo, Xingjun, Min Wang, Jianxin Jiang, et al.. (2013). Balanced Tiam1-Rac1 and RhoA Drives Proliferation and Invasion of Pancreatic Cancer Cells. Molecular Cancer Research. 11(3). 230–239. 31 indexed citations
19.
Li, Xu, Min Wang, Zheng He, et al.. (2013). Apoptosis of human gallbladder carcinoma GBC-SD cells induced by withaferin A and its possible mechanism. Tumori. 33(6). 502–508. 1 indexed citations
20.
Peng, Feng, Jianxin Jiang, Rui Tian, et al.. (2013). Direct targeting of SUZ12/ROCK2 by miR-200b/c inhibits cholangiocarcinoma tumourigenesis and metastasis. British Journal of Cancer. 109(12). 3092–3104. 88 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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