Yan-ting Gu

763 total citations
26 papers, 463 citations indexed

About

Yan-ting Gu is a scholar working on Molecular Biology, Neurology and Cell Biology. According to data from OpenAlex, Yan-ting Gu has authored 26 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Neurology and 5 papers in Cell Biology. Recurrent topics in Yan-ting Gu's work include Barrier Structure and Function Studies (8 papers), Caveolin-1 and cellular processes (5 papers) and Ion channel regulation and function (4 papers). Yan-ting Gu is often cited by papers focused on Barrier Structure and Function Studies (8 papers), Caveolin-1 and cellular processes (5 papers) and Ion channel regulation and function (4 papers). Yan-ting Gu collaborates with scholars based in China, South Korea and Türkiye. Yan-ting Gu's co-authors include Yixue Xue, Jiahong Wang, Yanfeng Wang, Lei Zhong, Lijuan Qin, Cheng Gao, Yanli Wang, Jinhui Wang, Jian Huang and Hua Zhang and has published in prestigious journals such as Brain Research, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Yan-ting Gu

26 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan-ting Gu China 13 200 101 61 53 48 26 463
Hua-Jun Zhou China 17 365 1.8× 185 1.8× 108 1.8× 51 1.0× 28 0.6× 32 769
Jin A. Shin South Korea 16 258 1.3× 269 2.7× 64 1.0× 99 1.9× 21 0.4× 27 710
Jiankang Fang Macao 11 243 1.2× 58 0.6× 44 0.7× 73 1.4× 21 0.4× 16 484
Yuyou Huang China 12 191 1.0× 202 2.0× 61 1.0× 58 1.1× 16 0.3× 35 563
Takahiko Imai Japan 14 246 1.2× 145 1.4× 37 0.6× 49 0.9× 26 0.5× 29 563
Shigeru Kanaoka Japan 11 209 1.0× 34 0.3× 92 1.5× 63 1.2× 26 0.5× 28 617
Inan Olmez United States 11 249 1.2× 90 0.9× 81 1.3× 57 1.1× 106 2.2× 14 696
Yaqi Zhou China 15 294 1.5× 72 0.7× 107 1.8× 55 1.0× 10 0.2× 44 651

Countries citing papers authored by Yan-ting Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yan-ting Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan-ting Gu. 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 Yan-ting Gu. The network helps show where Yan-ting Gu may publish in the future.

Co-authorship network of co-authors of Yan-ting Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yan-ting Gu. A scholar is included among the top collaborators of Yan-ting Gu 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 Yan-ting Gu. Yan-ting Gu 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.
Wang, Hao, Xiuli Zhao, Xiao Wang, et al.. (2025). Investigation of the role and mechanism of dapagliflozin in mitigating renal injury in rats afflicted with diabetic kidney disease. Biochemical Pharmacology. 233. 116795–116795. 3 indexed citations
2.
Wang, Feng‐Rong, Qun Zhao, Wenting Liu, et al.. (2025). A humanized anti-b7h3×4-1BB bispecific antibody exerts potent antitumour effects through the activation of innate and adaptive immunity. Biochemical and Biophysical Research Communications. 749. 151347–151347. 1 indexed citations
3.
Chen, Zhili, Yijia Wang, Haijian Cai, et al.. (2024). Parthenolide attenuates hypoxia-induced pulmonary hypertension through inhibiting STAT3 signaling. Phytomedicine. 134. 155976–155976. 3 indexed citations
4.
Yang, Lehe, Hongyan Qu, Yan-ting Gu, et al.. (2023). Gracillin relieves pulmonary fibrosis by suppressing the STAT3 axis. Journal of Ethnopharmacology. 316. 116704–116704. 8 indexed citations
5.
Zhang, Cai, Xiaoyi Zhang, Jiahong Wang, et al.. (2020). Lnc00462717 regulates the permeability of the blood‐brain tumor barrier through interaction with PTBP1 to inhibit the miR‐186‐5p/Occludin signaling pathway. The FASEB Journal. 34(8). 9941–9958. 13 indexed citations
6.
Wang, Jiahong, Yanli Wang, Cheng Gao, et al.. (2019). Salvianolic Acid A Protects the Kidney against Oxidative Stress by Activating the Akt/GSK-3β/Nrf2 Signaling Pathway and Inhibiting the NF-κB Signaling Pathway in 5/6 Nephrectomized Rats. Oxidative Medicine and Cellular Longevity. 2019. 1–16. 51 indexed citations
7.
Wang, Yanli, Cheng Gao, Yan-ting Gu, et al.. (2018). Salvianolic acid A attenuates kidney injury and inflammation by inhibiting NF-κB and p38 MAPK signaling pathways in 5/6 nephrectomized rats. Acta Pharmacologica Sinica. 39(12). 1855–1864. 55 indexed citations
8.
Xue, Yixue, Jian Huang, Jinhui Wang, et al.. (2016). NS1619 regulates the expression of caveolin-1 protein in a time-dependent manner via ROS/PI3K/PKB/FoxO1 signaling pathway in brain tumor microvascular endothelial cells. Journal of the Neurological Sciences. 369. 109–118. 10 indexed citations
9.
Gu, Yan-ting, Yixue Xue, Yanfeng Wang, et al.. (2013). Minoxidil sulfate induced the increase in blood–brain tumor barrier permeability through ROS/RhoA/PI3K/PKB signaling pathway. Neuropharmacology. 75. 407–415. 29 indexed citations
10.
11.
Gu, Yan-ting, et al.. (2012). Role of ROS/RhoA/PI3K/PKB Signaling in NS1619-Mediated Blood–Tumor Barrier Permeability Increase. Journal of Molecular Neuroscience. 48(1). 302–312. 23 indexed citations
12.
Gu, Yan-ting, Yixue Xue, Hua Zhang, Yan Li, & Xinyuan Liang. (2011). Adenosine 5′-Triphosphate-Sensitive Potassium Channel Activator Induces the Up-Regulation of Caveolin-1 Expression in a Rat Brain Tumor Model. Cellular and Molecular Neurobiology. 31(4). 629–634. 11 indexed citations
13.
Gu, Yan-ting, et al.. (2011). Calcium-activated potassium channel activator down-regulated the expression of tight junction protein in brain tumor model in rats. Neuroscience Letters. 493(3). 140–144. 3 indexed citations
14.
Gu, Yan-ting, Yixue Xue, Ping Wang, et al.. (2009). Dexamethasone enhances calcium-activated potassium channel expression in blood-brain tumor barrier in a rat brain tumor model. Brain Research. 1259. 1–6. 7 indexed citations
15.
Qin, Lijuan, Yan-ting Gu, Hua Zhang, & Yixue Xue. (2008). Bradykinin-induced blood–tumor barrier opening is mediated by tumor necrosis factor-α. Neuroscience Letters. 450(2). 172–175. 16 indexed citations
16.
Fan, Di, et al.. (2008). Role of aminoguanidine in brain protection in surgical brain injury in rat. Neuroscience Letters. 448(2). 204–207. 13 indexed citations
17.
Wang, Yanfeng, Gang Lv, & Yan-ting Gu. (2008). Bradykinin preconditioning induces protective effects on the spinal cord ischemic injury of rats. Neuroscience Letters. 433(2). 114–118. 12 indexed citations
18.
Gu, Yan-ting, Lijuan Qin, Xin Qin, & Feng Xu. (2008). The molecular mechanism of dexamethasone-mediated effect on the blood–brain tumor barrier permeability in a rat brain tumor model. Neuroscience Letters. 452(2). 114–118. 32 indexed citations
19.
20.
Gu, Yan-ting, et al.. (2007). Dexamethasone treatment modulates aquaporin-4 expression after intracerebral hemorrhage in rats. Neuroscience Letters. 413(2). 126–131. 26 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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