Dekang Nie

786 total citations
20 papers, 624 citations indexed

About

Dekang Nie is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Dekang Nie has authored 20 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Dekang Nie's work include Mesenchymal stem cell research (5 papers), MicroRNA in disease regulation (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Dekang Nie is often cited by papers focused on Mesenchymal stem cell research (5 papers), MicroRNA in disease regulation (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Dekang Nie collaborates with scholars based in China and South Korea. Dekang Nie's co-authors include Xinhua Zhang, Guohua Jin, Wei Shi, Weiwei Chen, Jinlong Shi, Xin Yi, Liang Xia, Jianbing Qin, Meiling Tian and Lanchun Ni and has published in prestigious journals such as ACS Nano, PLoS ONE and Biomaterials.

In The Last Decade

Dekang Nie

20 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dekang Nie China 14 255 158 133 93 78 20 624
Paolo Rosa Italy 14 334 1.3× 112 0.7× 78 0.6× 96 1.0× 73 0.9× 40 657
Zizhen Si China 12 324 1.3× 90 0.6× 169 1.3× 97 1.0× 53 0.7× 27 833
Qu Xing China 12 275 1.1× 95 0.6× 151 1.1× 70 0.8× 107 1.4× 16 693
Zhiming Cui China 14 230 0.9× 104 0.7× 103 0.8× 48 0.5× 124 1.6× 37 662
Lixin Zhang China 18 304 1.2× 108 0.7× 90 0.7× 72 0.8× 219 2.8× 45 898
David W. Infanger United States 10 247 1.0× 76 0.5× 71 0.5× 135 1.5× 62 0.8× 16 859
Jae-Jun Ban South Korea 11 640 2.5× 345 2.2× 169 1.3× 63 0.7× 66 0.8× 20 968
Inbo Han South Korea 20 445 1.7× 127 0.8× 169 1.3× 158 1.7× 197 2.5× 27 1.1k
Kazem Sharifi Iran 16 467 1.8× 235 1.5× 76 0.6× 59 0.6× 86 1.1× 30 747

Countries citing papers authored by Dekang Nie

Since Specialization
Citations

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

Fields of papers citing papers by Dekang Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dekang Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Dekang Nie. A scholar is included among the top collaborators of Dekang Nie 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 Dekang Nie. Dekang Nie 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.
Nie, Dekang, Yue Huang, Qianqian Liu, et al.. (2024). A Magnetic-Responsive Biomimetic Nanosystem Coated with Glioma Stem Cell Membranes Effectively Targets and Eliminates Malignant Gliomas. Biomaterials Research. 28. 123–123. 2 indexed citations
2.
Yang, Yu-Sheng, Qianqian Liu, Qian Shao, et al.. (2023). Human umbilical cord derived mesenchymal stem cells overexpressing HO ‐1 attenuate neural injury and enhance functional recovery by inhibiting inflammation in stroke mice. CNS Neuroscience & Therapeutics. 30(2). e14412–e14412. 14 indexed citations
3.
Nie, Dekang, Yue Huang, Qianqian Liu, et al.. (2023). Antioxidant Cascade Nanoenzyme Antagonize Inflammatory Pain by Modulating MAPK/p‐65 Signaling Pathway. Advanced Science. 10(12). e2206934–e2206934. 39 indexed citations
4.
Nie, Dekang, Wenxin Lv, Qianqian Liu, et al.. (2023). In Situ Attached Photothermal Immunomodulation-Enhanced Nanozyme for the Inhibition of Postoperative Malignant Glioma Recurrence. ACS Nano. 17(14). 13885–13902. 44 indexed citations
5.
Wang, Jun, Dekang Nie, Xu Song, et al.. (2019). FRK suppresses human glioma growth by inhibiting ITGB1/FAK signaling. Biochemical and Biophysical Research Communications. 517(4). 588–595. 11 indexed citations
6.
Xia, Liang, Dong Zhao, Bin Wu, et al.. (2019). PAX3 Promotes Proliferation of Human Glioma Cells by WNT/β-Catenin Signaling Pathways. Journal of Molecular Neuroscience. 68(1). 66–77. 14 indexed citations
7.
Xia, Liang, Dekang Nie, Guangtao Wang, Caixing Sun, & Gao Chen. (2019). FER1L4/miR‐372/E2F1 works as a ceRNA system to regulate the proliferation and cell cycle of glioma cells. Journal of Cellular and Molecular Medicine. 23(5). 3224–3233. 52 indexed citations
8.
9.
Sun, Guan, Jing‐Min Lu, Chuang Zhang, et al.. (2017). MiR-29b inhibits the growth of glioma via MYCN dependent way. Oncotarget. 8(28). 45224–45233. 13 indexed citations
10.
Sun, Guan, Ying Cao, Dekang Nie, et al.. (2017). Binostril endoscopic transsphenoidal neurosurgery for pituitary adenomas: experience with 42 patients. Oncotarget. 8(40). 69020–69024. 3 indexed citations
11.
Gu, Jun, Dekang Nie, Yinan Chen, et al.. (2016). The migration and differentiation of hUC-MSCs CXCR4/GFP encapsulated in BDNF/chitosan scaffolds for brain tissue engineering. Biomedical Materials. 11(3). 35004–35004. 23 indexed citations
12.
Feng, Xingmei, Xiaohui Lü, Dan Huang, et al.. (2014). 3D Porous Chitosan Scaffolds Suit Survival and Neural Differentiation of Dental Pulp Stem Cells. Cellular and Molecular Neurobiology. 34(6). 859–870. 47 indexed citations
13.
Chen, Weiwei, Xiang Cheng, Jinzhong Chen, et al.. (2014). Lycium barbarum Polysaccharides Prevent Memory and Neurogenesis Impairments in Scopolamine-Treated Rats. PLoS ONE. 9(2). e88076–e88076. 102 indexed citations
14.
Chen, Jian, Liang Xia, Dekang Nie, et al.. (2013). Detection of Serum Alu Element Hypomethylation for the Diagnosis and Prognosis of Glioma. Journal of Molecular Neuroscience. 50(2). 368–375. 11 indexed citations
15.
Shi, Jinlong, Hao Zuo, Lanchun Ni, et al.. (2013). An IDH1 mutation inhibits growth of glioma cells via GSH depletion and ROS generation. Neurological Sciences. 35(6). 839–845. 58 indexed citations
16.
Gong, Peipei, Jinlong Shi, Lanchun Ni, et al.. (2013). Phosphorylation of Mitogen- and Stress-Activated Protein Kinase-1 in Astrocytic Inflammation: A Possible Role in Inhibiting Production of Inflammatory Cytokines. PLoS ONE. 8(12). e81747–e81747. 11 indexed citations
17.
Xia, Liang, Qingfeng Huang, Dekang Nie, et al.. (2013). PAX3 is overexpressed in human glioblastomas and critically regulates the tumorigenicity of glioma cells. Brain Research. 1521. 68–78. 23 indexed citations
18.
Zhang, Xinhua, Wei Li, Dekang Nie, et al.. (2013). Therapeutic effect of human umbilical cord mesenchymal stem cells on neonatal rat hypoxic–ischemic encephalopathy. Journal of Neuroscience Research. 92(1). 35–45. 44 indexed citations
19.
Shi, Wei, Dekang Nie, Guohua Jin, et al.. (2012). BDNF blended chitosan scaffolds for human umbilical cord MSC transplants in traumatic brain injury therapy. Biomaterials. 33(11). 3119–3126. 82 indexed citations
20.
Chen, Jian, Liang Xia, Xiujie Wu, et al.. (2012). Clinical Significance and Prognostic Value of PAX3 Expression in Human Glioma. Journal of Molecular Neuroscience. 47(1). 52–58. 15 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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