Xiaohu Nie

404 total citations
13 papers, 282 citations indexed

About

Xiaohu Nie is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Xiaohu Nie has authored 13 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Neurology. Recurrent topics in Xiaohu Nie's work include Medicinal Plant Pharmacodynamics Research (3 papers), Glioma Diagnosis and Treatment (3 papers) and Epigenetics and DNA Methylation (3 papers). Xiaohu Nie is often cited by papers focused on Medicinal Plant Pharmacodynamics Research (3 papers), Glioma Diagnosis and Treatment (3 papers) and Epigenetics and DNA Methylation (3 papers). Xiaohu Nie collaborates with scholars based in China, United States and Hong Kong. Xiaohu Nie's co-authors include Weiqiang Jia, Jie Xu, Ying Xing, Bin Lü, Liang Shen, Qiuping Ding, Ruxiang Xu, Guoyong Yu, Ruxiang Xu and Zhaotao Wang and has published in prestigious journals such as PLoS ONE, Neurochemical Research and Frontiers in Neurology.

In The Last Decade

Xiaohu Nie

13 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaohu Nie China 10 153 71 62 29 28 13 282
Yongfei Dong China 10 188 1.2× 122 1.7× 33 0.5× 32 1.1× 15 0.5× 24 325
Ruili Wang China 11 165 1.1× 94 1.3× 23 0.4× 43 1.5× 31 1.1× 22 331
Xianming Zhang China 10 166 1.1× 65 0.9× 33 0.5× 44 1.5× 27 1.0× 16 350
Jingchuan Wu China 10 208 1.4× 119 1.7× 81 1.3× 30 1.0× 14 0.5× 15 341
Jingwei Cao China 11 259 1.7× 119 1.7× 121 2.0× 17 0.6× 13 0.5× 18 394
Liang Fan China 11 281 1.8× 133 1.9× 53 0.9× 36 1.2× 14 0.5× 14 457
Jiaolin Zheng China 10 193 1.3× 140 2.0× 38 0.6× 40 1.4× 14 0.5× 13 305
Hongrong Zhang China 9 241 1.6× 156 2.2× 123 2.0× 35 1.2× 16 0.6× 11 386
Cong Zou China 10 170 1.1× 55 0.8× 17 0.3× 24 0.8× 19 0.7× 22 326

Countries citing papers authored by Xiaohu Nie

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohu Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohu Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohu Nie. A scholar is included among the top collaborators of Xiaohu 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 Xiaohu Nie. Xiaohu Nie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Su, Zhongzhou, et al.. (2023). Correlation between the rate of morphological changes and rupture of intracranial aneurysms during one cardiac cycle analyzed by 4D-CTA. Frontiers in Neurology. 14. 1235312–1235312. 2 indexed citations
2.
Lü, Bin, et al.. (2022). PGAM4 silencing inhibited glycolysis and chemoresistance to temozolomide in glioma cells. Cell Biology International. 47(4). 776–786. 3 indexed citations
3.
Liu, Yibo, Yujie Luo, Anke Zhang, et al.. (2022). Long Non-coding RNA H19 Promotes NLRP3-Mediated Pyroptosis After Subarachnoid Hemorrhage in Rats. Translational Stroke Research. 14(6). 987–1001. 18 indexed citations
4.
5.
Nie, Xiaohu, et al.. (2021). Activated protein C overexpression suppresses the pyroptosis of subarachnoid hemorrhage model cells by regulating the NLRP3 inflammasome pathway. Experimental and Therapeutic Medicine. 22(6). 1391–1391. 6 indexed citations
6.
Nie, Xiaohu, et al.. (2019). Calycosin down-regulates c-Met to suppress development of glioblastomas. Journal of Biosciences. 44(4). 11 indexed citations
7.
Xu, Jie, Qiuping Ding, Liang Shen, et al.. (2019). Inhibition of Proliferation by Knockdown of Transmembrane (TMEM) 168 in Glioblastoma Cells via Suppression of Wnt/β-Catenin Pathway. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 27(7). 819–826. 18 indexed citations
8.
9.
Ding, Qiuping, Liang Shen, Xiaohu Nie, et al.. (2018). MiR-223-3p overexpression inhibits cell proliferation and migration by regulating inflammation-associated cytokines in glioblastomas. Pathology - Research and Practice. 214(9). 1330–1339. 46 indexed citations
10.
Shen, Liang, Zhongzhou Su, Sheng Qiu, et al.. (2016). Effects of Intracranial Pressure Monitoring on Mortality in Patients with Severe Traumatic Brain Injury: A Meta-Analysis. PLoS ONE. 11(12). e0168901–e0168901. 53 indexed citations
11.
Xu, Ruxiang, et al.. (2016). Calycosin inhibits migration and invasion through modulation of transforming growth factor beta-mediated mesenchymal properties in U87 and U251 cells. Drug Design Development and Therapy. 10. 767–767. 30 indexed citations
12.
Dong, Xingyu, Qingshan Deng, Xiaohu Nie, et al.. (2015). Downregulation of HTATIP2 expression is associated with promoter methylation and poor prognosis in glioma. Experimental and Molecular Pathology. 98(2). 192–199. 18 indexed citations
13.
Yao, Hui, Mou Gao, Jianhua Ma, et al.. (2015). Transdifferentiation-Induced Neural Stem Cells Promote Recovery of Middle Cerebral Artery Stroke Rats. PLoS ONE. 10(9). e0137211–e0137211. 20 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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