Chengcheng Cui

1.1k total citations
21 papers, 870 citations indexed

About

Chengcheng Cui is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Chengcheng Cui has authored 21 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Neurology. Recurrent topics in Chengcheng Cui's work include MicroRNA in disease regulation (6 papers), Extracellular vesicles in disease (4 papers) and Neurological Disease Mechanisms and Treatments (4 papers). Chengcheng Cui is often cited by papers focused on MicroRNA in disease regulation (6 papers), Extracellular vesicles in disease (4 papers) and Neurological Disease Mechanisms and Treatments (4 papers). Chengcheng Cui collaborates with scholars based in China and United States. Chengcheng Cui's co-authors include Jieli Chen, Michael Chopp, Alex Zacharek, Poornima Venkat, Julie Landschoot‐Ward, Peng Yu, Xiaoping Yang, Tao Yan, Jiang Xu and Xinchun Ye and has published in prestigious journals such as PLoS ONE, Stroke and Bioresource Technology.

In The Last Decade

Chengcheng Cui

20 papers receiving 863 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengcheng Cui China 13 495 251 223 132 87 21 870
Julie Landschoot‐Ward United States 15 356 0.7× 185 0.7× 224 1.0× 105 0.8× 78 0.9× 28 695
Lulu Wen China 16 557 1.1× 265 1.1× 191 0.9× 112 0.8× 118 1.4× 25 968
Deepti Navaratna United States 11 347 0.7× 131 0.5× 292 1.3× 97 0.7× 125 1.4× 12 883
Xili Chu China 15 545 1.1× 238 0.9× 140 0.6× 58 0.4× 63 0.7× 21 889
Meijie Qu China 16 747 1.5× 477 1.9× 427 1.9× 101 0.8× 108 1.2× 25 1.2k
Yongshan Mou United States 15 641 1.3× 119 0.5× 114 0.5× 104 0.8× 84 1.0× 21 959
Shuang-Shuang Dai China 19 432 0.9× 140 0.6× 231 1.0× 172 1.3× 109 1.3× 35 1.0k
Reiner Kunze Germany 18 357 0.7× 261 1.0× 222 1.0× 78 0.6× 87 1.0× 27 773
Ningbo Xu China 20 642 1.3× 391 1.6× 186 0.8× 133 1.0× 120 1.4× 33 1.1k
Maud Pétrault France 13 454 0.9× 228 0.9× 162 0.7× 226 1.7× 123 1.4× 23 986

Countries citing papers authored by Chengcheng Cui

Since Specialization
Citations

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

Fields of papers citing papers by Chengcheng Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengcheng Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Chengcheng Cui. A scholar is included among the top collaborators of Chengcheng Cui 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 Chengcheng Cui. Chengcheng Cui 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.
Cui, Chengcheng, et al.. (2024). Effect of private tutoring on students’ non-cognitive mathematics learning outcomes in China. International Journal of Educational Development. 107. 103029–103029.
2.
Cui, Chengcheng, Hao Chen, Yuqiao Wang, et al.. (2024). Effect of abnormal distribution of abdominal adiposity and skeletal muscle on the outcomes of endovascular treatment for emergent large vessel occlusion. Journal of NeuroInterventional Surgery. 17(12). 1340–1346. 1 indexed citations
3.
Zhang, Yuhuan, et al.. (2024). Differential effects of private tutoring on groups of students’ mathematics achievements: a longitudinal study. Educational Studies in Mathematics. 115(2). 197–222. 3 indexed citations
4.
Zhang, Yuhuan, et al.. (2023). Differential effects of private tutoring on facets of students' mathematics achievement: A longitudinal study. Learning and Individual Differences. 105. 102304–102304. 2 indexed citations
6.
Zhang, Yuhuan, et al.. (2022). Does private supplementary tutoring matter in Chinese students’ learning of mathematics: a longitudinal study. ZDM. 54(3). 737–747. 14 indexed citations
7.
Ma, Yue, et al.. (2021). circCOL1A1 Promotes the Progression of Gastric Cancer Cells through Sponging miR-145 to Enhance RABL3 Expression. Journal of Immunology Research. 2021. 1–20. 13 indexed citations
8.
Cui, Chengcheng, et al.. (2021). Neuroprotective effects of sonochemical- synthesized SiO2 nanoparticles in vivo models of ischemic/reperfusion injury in stroke. Arabian Journal of Chemistry. 14(11). 103416–103416. 2 indexed citations
9.
Venkat, Poornima, Chengcheng Cui, Zhili Chen, et al.. (2020). CD133+Exosome Treatment Improves Cardiac Function after Stroke in Type 2 Diabetic Mice. Translational Stroke Research. 12(1). 112–124. 37 indexed citations
10.
Venkat, Poornima, Chengcheng Cui, Michael Chopp, et al.. (2019). MiR-126 Mediates Brain Endothelial Cell Exosome Treatment–Induced Neurorestorative Effects After Stroke in Type 2 Diabetes Mellitus Mice. Stroke. 50(10). 2865–2874. 136 indexed citations
11.
Venkat, Poornima, Michael Chopp, Alex Zacharek, et al.. (2018). Sildenafil treatment of vascular dementia in aged rats. Neurochemistry International. 127. 103–112. 30 indexed citations
12.
Ye, Xinchun, Tong Shen, Jinxia Hu, et al.. (2017). Purinergic 2X7 receptor/NLRP3 pathway triggers neuronal apoptosis after ischemic stroke in the mouse. Experimental Neurology. 292. 46–55. 105 indexed citations
13.
Chen, Jieli, Chengcheng Cui, Xiaoping Yang, et al.. (2017). MiR-126 Affects Brain-Heart Interaction after Cerebral Ischemic Stroke. Translational Stroke Research. 8(4). 374–385. 134 indexed citations
14.
Ye, Xinchun, Yu Lu, Liang Zhang, et al.. (2017). ROS/TXNIP pathway contributes to thrombin induced NLRP3 inflammasome activation and cell apoptosis in microglia. Biochemical and Biophysical Research Communications. 485(2). 499–505. 91 indexed citations
15.
Ding, Guangliang, Jieli Chen, Michael Chopp, et al.. (2016). Cell Treatment for Stroke in Type Two Diabetic Rats Improves Vascular Permeability Measured by MRI. PLoS ONE. 11(2). e0149147–e0149147. 10 indexed citations
16.
Venkat, Poornima, Michael Chopp, Alex Zacharek, et al.. (2016). White matter damage and glymphatic dysfunction in a model of vascular dementia in rats with no prior vascular pathologies. Neurobiology of Aging. 50. 96–106. 107 indexed citations
17.
Cui, Chengcheng, Xinchun Ye, Michael Chopp, et al.. (2016). miR-145 Regulates Diabetes-Bone Marrow Stromal Cell-Induced Neurorestorative Effects in Diabetes Stroke Rats. Stem Cells Translational Medicine. 5(12). 1656–1667. 53 indexed citations
18.
Cui, Xu, Michael Chopp, Alex Zacharek, et al.. (2015). D-4F Decreases White Matter Damage After Stroke in Mice. Stroke. 47(1). 214–220. 27 indexed citations
19.
Chen, Jieli, Ruizhuo Ning, Alex Zacharek, et al.. (2015). MiR-126 Contributes to Human Umbilical Cord Blood Cell-Induced Neurorestorative Effects After Stroke in Type-2 Diabetic Mice. Stem Cells. 34(1). 102–113. 55 indexed citations
20.
Ding, Guangliang, Tao Yan, Jieli Chen, et al.. (2014). Persistent Cerebrovascular Damage After Stroke in Type Two Diabetic Rats Measured by Magnetic Resonance Imaging. Stroke. 46(2). 507–512. 36 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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