Xiaoling Guo

1.3k total citations
64 papers, 1.0k citations indexed

About

Xiaoling Guo is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Xiaoling Guo has authored 64 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 9 papers in Surgery and 9 papers in Immunology. Recurrent topics in Xiaoling Guo's work include Pluripotent Stem Cells Research (9 papers), Renal and related cancers (6 papers) and CRISPR and Genetic Engineering (4 papers). Xiaoling Guo is often cited by papers focused on Pluripotent Stem Cells Research (9 papers), Renal and related cancers (6 papers) and CRISPR and Genetic Engineering (4 papers). Xiaoling Guo collaborates with scholars based in China, United States and Australia. Xiaoling Guo's co-authors include Carl W. White, Jerome Schaack, Ren‐Shan Ge, Kumuda C. Das, Xianwu Chen, Chao Li, Maoping Chu, Xiaohong Gu, Aftab Ahmad and John M. Shannon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Xiaoling Guo

64 papers receiving 999 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoling Guo China 19 425 113 93 92 87 64 1.0k
Sébastien Chateauvieux Luxembourg 20 678 1.6× 153 1.4× 72 0.8× 142 1.5× 121 1.4× 22 1.3k
Siyi Wang China 19 618 1.5× 181 1.6× 94 1.0× 59 0.6× 91 1.0× 87 1.2k
Tae Gyu Choi South Korea 19 638 1.5× 164 1.5× 238 2.6× 117 1.3× 101 1.2× 39 1.3k
Ke Feng China 22 460 1.1× 197 1.7× 183 2.0× 89 1.0× 222 2.6× 75 1.2k
Xiaoli Chen China 20 450 1.1× 84 0.7× 117 1.3× 56 0.6× 366 4.2× 51 1.0k
Zihui Zhang China 19 497 1.2× 151 1.3× 80 0.9× 78 0.8× 145 1.7× 64 989
Sang Jun Han South Korea 26 644 1.5× 74 0.7× 103 1.1× 40 0.4× 152 1.7× 54 1.5k
Wissam H. Faour Lebanon 22 306 0.7× 126 1.1× 54 0.6× 146 1.6× 153 1.8× 59 1.1k

Countries citing papers authored by Xiaoling Guo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoling Guo. A scholar is included among the top collaborators of Xiaoling 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 Xiaoling Guo. Xiaoling 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.
Guan, Yuting, Jinghua Ruan, Pingping Tan, et al.. (2025). Hesperidin alleviates endothelial cell inflammation and apoptosis of Kawasaki disease through inhibiting the TLR4/IĸBα/NF-ĸB pathway. Chemico-Biological Interactions. 411. 111445–111445. 2 indexed citations
2.
Xie, Weiwei, et al.. (2024). Metformin attenuates white matter injury in neonatal mice through activating NRF2/HO-1/NF-κB pathway. International Immunopharmacology. 141. 112961–112961. 2 indexed citations
3.
Xie, Weiwei, Li Di, Peijun Li, et al.. (2024). L ‐ascorbyl‐2‐phosphate alleviates white matter injury caused by chronic hypoxia through the PRMT5 / P53 / NF‐κB pathway. Journal of Neurochemistry. 168(2). 142–160. 2 indexed citations
5.
Hu, Yingying, Nan Yan, Qianlei Zhao, et al.. (2024). Celastrol ameliorates hypoxic-ischemic brain injury in neonatal rats by reducing oxidative stress and inflammation. Pediatric Research. 96(7). 1681–1692. 3 indexed citations
6.
Guo, Xiaoling, et al.. (2024). Heavy metal contamination in duck eggs from a mercury mining area, southwestern China. Frontiers in Public Health. 12. 4 indexed citations
7.
Tan, Pingping, Yuting Guan, Xing Feng, et al.. (2024). Ferulic acid suppresses the inflammation and apoptosis in Kawasaki disease through activating the AMPK/mTOR/NF-κB pathway. Frontiers in Pharmacology. 15. 1420602–1420602. 6 indexed citations
8.
Chen, Tingting, Yingying Hu, Shangqin Chen, et al.. (2024). Protopine Exerts Neuroprotective Effects on Neonatal Hypoxic-Ischemic Brain Damage in Rats via Activation of the AMPK/PGC1α Pathway. Drug Design Development and Therapy. Volume 18. 4975–4992. 2 indexed citations
9.
Chen, Huihui, et al.. (2023). Integrated single-cell RNA-seq analysis revealed podocyte injury through activation of the BMP7/AMPK/mTOR mediated autophagy pathway. Chemico-Biological Interactions. 382. 110559–110559. 5 indexed citations
10.
11.
Gu, Xiaohong, Yuechun Li, Kaixin Chen, et al.. (2020). Exosomes derived from umbilical cord mesenchymal stem cells alleviate viral myocarditis through activating AMPK/mTOR‐mediated autophagy flux pathway. Journal of Cellular and Molecular Medicine. 24(13). 7515–7530. 73 indexed citations
12.
Guo, Xiaoling, Yong Chen, Weiping Ji, et al.. (2018). Enrichment of cancer stem cells by agarose multi-well dishes and 3D spheroid culture. Cell and Tissue Research. 375(2). 397–408. 22 indexed citations
13.
Li, Xiaojun, Jianpeng Liu, Siwen Wu, et al.. (2017). In utero single low-dose exposure of cadmium induces rat fetal Leydig cell dysfunction. Chemosphere. 194. 57–66. 27 indexed citations
14.
Wáng, Qīng, Jiang Zhu, Yong Zhang, et al.. (2013). Down-regulation of programmed cell death 4 leads to epithelial to mesenchymal transition and promotes metastasis in mice. European Journal of Cancer. 49(7). 1761–1770. 25 indexed citations
15.
Yu, Rongjie, et al.. (2013). PACAP induces the dimerization of PAC1 on the nucleus associated with the cAMP increase in the nucleus. Neuroscience Letters. 549. 92–96. 11 indexed citations
16.
Chen, Hao, Liang Shi, Xiaoyang Yang, et al.. (2010). Artesunate inhibiting angiogenesis induced by human myeloma RPMI8226 cells. International Journal of Hematology. 92(4). 587–597. 39 indexed citations
17.
Chen, Jiaxu, et al.. (2009). Effect of XiaoYaoSan on ultrastructure of neurons in limbic system of rats with liver depression and spleen deficiency syndrome caused by chronic immobilization stress.. Zhonghua zhongyiyao zazhi. 24(5). 577–581. 1 indexed citations
18.
Li, Wanli, et al.. (2005). Effect of cristata L flavonoid on expression of bone morphogenetic protein and function of tubular reabsorption of rats with diabetes mellitus. Zhongguo zuzhi gongcheng yanjiu yu linchuang kangfu. 9(39). 188–190. 1 indexed citations
19.
Liang, Fubo, Xiaoling Guo, Laiping Xie, et al.. (2005). Design, Construction, and Intracellular Activation of an Intramolecularly Self‐Silenced Signal Transduction Inhibitor. Angewandte Chemie International Edition. 44(27). 4242–4244. 15 indexed citations
20.
Han, Ping, Xiaoling Guo, & Colin Story. (2004). Role of β1-integrins and their associated tetraspanin molecules in fibronectin-enhanced megakaryopoiesis. Cytotherapy. 6(5). 465–475. 3 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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