Hongxia Zhou

674 total citations
18 papers, 518 citations indexed

About

Hongxia Zhou is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Hongxia Zhou has authored 18 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Genetics. Recurrent topics in Hongxia Zhou's work include RNA Interference and Gene Delivery (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and CRISPR and Genetic Engineering (3 papers). Hongxia Zhou is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and CRISPR and Genetic Engineering (3 papers). Hongxia Zhou collaborates with scholars based in China, United States and Germany. Hongxia Zhou's co-authors include Zuoshang Xu, Xu‐Gang Xia, Yong Huang, Xu Xia, Zuo‐Feng Zhang, Kim Tieu, Jörg B. Schulz, Björn Falkenburger, Enrique Samper and Yuxin Zhang and has published in prestigious journals such as British Journal of Pharmacology, PLoS Genetics and Building and Environment.

In The Last Decade

Hongxia Zhou

18 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongxia Zhou China 12 322 124 121 75 61 18 518
Chengyuan Song China 11 193 0.6× 105 0.8× 156 1.3× 53 0.7× 38 0.6× 24 427
Katarzyna Gawęda-Walerych Poland 13 416 1.3× 96 0.8× 124 1.0× 28 0.4× 69 1.1× 22 621
Maria Angeliki S. Pavlou Germany 12 283 0.9× 157 1.3× 189 1.6× 41 0.5× 59 1.0× 16 539
Shanshan Ma China 14 324 1.0× 169 1.4× 82 0.7× 30 0.4× 86 1.4× 30 519
Trisha R. Stankiewicz United States 8 347 1.1× 136 1.1× 61 0.5× 56 0.7× 27 0.4× 9 548
Maohong Cao China 14 326 1.0× 117 0.9× 164 1.4× 37 0.5× 80 1.3× 49 631
Haiyang Luo China 15 326 1.0× 116 0.9× 192 1.6× 41 0.5× 34 0.6× 45 654
Benjamin Hoehn United States 7 270 0.8× 95 0.8× 41 0.3× 35 0.5× 86 1.4× 9 557
Udhaya Kumari Singapore 6 191 0.6× 57 0.5× 95 0.8× 22 0.3× 56 0.9× 8 350
Jennifer A. Cameron United States 5 258 0.8× 141 1.1× 31 0.3× 32 0.4× 36 0.6× 6 487

Countries citing papers authored by Hongxia Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Hongxia Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongxia Zhou

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

All Works

18 of 18 papers shown
1.
Li, Haimeng, Ying Zhang, Changqing Yang, et al.. (2024). Sleep microenvironment improvement for the acute plateau entry population through a novel nasal oxygen supply system. Building and Environment. 256. 111467–111467. 4 indexed citations
2.
Zhang, Yuemei, et al.. (2024). Peroxiredoxin-1 as a molecular chaperone that regulates glutathione S-transferase P1 activity and drives mutidrug resistance in ovarian cancer cells. Biochemistry and Biophysics Reports. 37. 101639–101639. 5 indexed citations
3.
Ge, Tingting, et al.. (2020). Absence of Long Noncoding RNA H19 Promotes Childhood Nephrotic Syndrome through Inhibiting ADCK4 Signal. Medical Science Monitor. 26. e922090–e922090. 4 indexed citations
4.
Zhang, Yuxin, et al.. (2014). Tanshinone IIA prevents the loss of nigrostriatal dopaminergic neurons by inhibiting NADPH oxidase and iNOS in the MPTP model of Parkinson's disease. Journal of the Neurological Sciences. 348(1-2). 142–152. 58 indexed citations
5.
6.
Tan, Yi, Hongxia Zhou, Yiguang Wang, Maoluo Gan, & Zhaoyong Yang. (2013). [Halogenated natural products from the marine-derived actinobacteria and their halogenation mechanism].. PubMed. 48(9). 1369–75. 2 indexed citations
7.
Zhao, Yanxia, Dandan Yu, Hongli Liu, et al.. (2013). Anticancer activity of SAHA, a potent histone deacetylase inhibitor, in NCI-H460 human large-cell lung carcinoma cells in vitro and in vivo. International Journal of Oncology. 44(2). 451–458. 24 indexed citations
8.
Zhou, Hongxia, Xiaoqian Mu, Jing Chen, et al.. (2013). RNAi silencing targeting RNF8 enhances radiosensitivity of a non-small cell lung cancer cell line A549. International Journal of Radiation Biology. 89(9). 708–715. 12 indexed citations
9.
Zhou, Hongxia, Cao Huang, Min Yang, et al.. (2009). Developing tTA Transgenic Rats for Inducible and Reversible Gene Expression. International Journal of Biological Sciences. 5(2). 171–181. 25 indexed citations
10.
Wang, Yongsheng, Yuxin Zhang, Hui Li, et al.. (2009). JNK inhibitor protects dopaminergic neurons by reducing COX-2 expression in the MPTP mouse model of subacute Parkinson's disease. Journal of the Neurological Sciences. 285(1-2). 172–177. 40 indexed citations
11.
Zhou, Hongxia, Björn Falkenburger, Jörg B. Schulz, et al.. (2007). Silencing of the Pink1 Gene Expression by Conditional RNAi Does Not Induce Dopaminergic Neuron Death in Mice. International Journal of Biological Sciences. 3(4). 242–250. 75 indexed citations
12.
Wang, Yongsheng, et al.. (2007). [Effect of phosphorylated c-Jun expression on COX-2 expression in the substantia nigra of MPTP mouse model of subacute Parkinson disease].. PubMed. 27(8). 1199–202, 1205. 2 indexed citations
13.
Xia, Xu‐Gang, Hongxia Zhou, Yong Huang, & Zuoshang Xu. (2006). Allele-specific RNAi selectively silences mutant SOD1 and achieves significant therapeutic benefit in vivo. Neurobiology of Disease. 23(3). 578–586. 76 indexed citations
14.
Zhou, Hongxia, et al.. (2006). Pol II–Expressed shRNA Knocks Down Sod2 Gene Expression and Causes Phenotypes of the Gene Knockout in Mice. PLoS Genetics. 2(1). e10–e10. 63 indexed citations
15.
Xia, Xu‐Gang, Hongxia Zhou, & Zuoshang Xu. (2006). Multiple shRNAs expressed by an inducible pol II promoter can knock down the expression of multiple target genes. BioTechniques. 41(1). 64–68. 55 indexed citations
16.
Hu, Yongqi, et al.. (2005). [The effect of NO, ET-1 on brain injury after hind limbs ischemia/reperfusion in rats].. PubMed. 21(1). 30–3. 1 indexed citations
17.
Trendelenburg, Anne‐Ulrike, et al.. (2003). Heterogeneity of presynaptic muscarinic receptors mediating inhibition of sympathetic transmitter release: a study with M2‐ and M4‐receptor‐deficient mice. British Journal of Pharmacology. 138(3). 469–480. 37 indexed citations
18.
Zhou, Hongxia, Angelika Meyer, Klaus Starke, et al.. (2002). Heterogeneity of release-inhibiting muscarinic autoreceptors in heart atria and urinary bladder: a study with M 2 - and M 4 -receptor-deficient mice. Naunyn-Schmiedeberg s Archives of Pharmacology. 365(2). 112–122. 21 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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