Hua-Jun Zhou

922 total citations
32 papers, 769 citations indexed

About

Hua-Jun Zhou is a scholar working on Neurology, Molecular Biology and Epidemiology. According to data from OpenAlex, Hua-Jun Zhou has authored 32 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Neurology, 22 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Hua-Jun Zhou's work include Intracerebral and Subarachnoid Hemorrhage Research (24 papers), Kruppel-like factors research (14 papers) and Cancer-related gene regulation (11 papers). Hua-Jun Zhou is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (24 papers), Kruppel-like factors research (14 papers) and Cancer-related gene regulation (11 papers). Hua-Jun Zhou collaborates with scholars based in China, United States and Hong Kong. Hua-Jun Zhou's co-authors include Tao Tang, Jiekun Luo, Hanjin Cui, Ali Yang, Zhigang Mei, Zhitao Feng, Qidong Yang, Songbai Yang, Jinfeng Wang and Cong Wang and has published in prestigious journals such as PLoS ONE, Stroke and Brain Research.

In The Last Decade

Hua-Jun Zhou

32 papers receiving 763 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hua-Jun Zhou China 17 365 293 185 184 108 32 769
Jianing Luo China 17 473 1.3× 192 0.7× 237 1.3× 165 0.9× 136 1.3× 34 898
Junjia Tang China 13 335 0.9× 259 0.9× 258 1.4× 162 0.9× 51 0.5× 16 792
Jinwei Pang China 19 437 1.2× 356 1.2× 348 1.9× 125 0.7× 115 1.1× 41 1.0k
Ali Yang China 16 326 0.9× 276 0.9× 83 0.4× 93 0.5× 106 1.0× 33 595
Wenxing Cui China 16 427 1.2× 238 0.8× 196 1.1× 186 1.0× 106 1.0× 36 882
Nathanael Matei United States 16 350 1.0× 163 0.6× 273 1.5× 142 0.8× 59 0.5× 34 852
Ziping Han China 19 449 1.2× 128 0.4× 380 2.1× 181 1.0× 213 2.0× 50 999
Guo‐Yuan Yang China 17 309 0.8× 563 1.9× 160 0.9× 190 1.0× 47 0.4× 21 905
Junfang Teng China 17 587 1.6× 145 0.5× 154 0.8× 75 0.4× 319 3.0× 41 992
Zhen-Nan Ye China 12 248 0.7× 198 0.7× 168 0.9× 92 0.5× 50 0.5× 19 593

Countries citing papers authored by Hua-Jun Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Hua-Jun Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua-Jun Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Hua-Jun Zhou. A scholar is included among the top collaborators of Hua-Jun 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 Hua-Jun Zhou. Hua-Jun Zhou 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.
Jin, Ying, Peng Chen, Hua-Jun Zhou, et al.. (2025). Developing transcriptomic biomarkers for TAVO412 utilizing next generation sequencing analyses of preclinical tumor models. Frontiers in Immunology. 16. 1505868–1505868. 2 indexed citations
2.
3.
Yang, Ali, Hua-Jun Zhou, Tao Tang, Jiekun Luo, & Hanjin Cui. (2022). Temporal profile of angiogenesis and expression of extracellular matrix-related genes in rat brains following experimental intracerebral hemorrhage. Science Progress. 105(3). 322086005–322086005. 2 indexed citations
4.
Cui, Hanjin, Ali Yang, Hua-Jun Zhou, et al.. (2020). Thrombin-induced miRNA-24–1-5p upregulation promotes angiogenesis by targeting prolyl hydroxylase domain 1 in intracerebral hemorrhagic rats. Journal of neurosurgery. 134(5). 1515–1526. 18 indexed citations
5.
Du, Lipeng, Zhigang Mei, Tao Wei, et al.. (2020). Protection of the Geum japonicum Thunb. var. chinense extracts against oxygen-glucose deprivation and re-oxygenation induced astrocytes injury via BDNF/PI3K/Akt/CREB pathway. Biomedicine & Pharmacotherapy. 127. 110123–110123. 24 indexed citations
6.
Hu, En, Hu Wang, Ali Yang, et al.. (2018). Thrombin promotes pericyte coverage by Tie2 activation in a rat model of intracerebral hemorrhage. Brain Research. 1708. 58–68. 20 indexed citations
7.
Mei, Zhigang, Zhitao Feng, Jinfeng Wang, et al.. (2018). Puerarin protects rat brain against ischemia/reperfusion injury by suppressing autophagy via the AMPK-mTOR-ULK1 signaling pathway. Neural Regeneration Research. 13(6). 989–989. 112 indexed citations
8.
Cui, Hanjin, Tao Liu, Pengfei Li, et al.. (2018). An Intersectional Study of LncRNAs and mRNAs Reveals the Potential Therapeutic Targets of Buyang Huanwu Decoction in Experimental Intracerebral Hemorrhage. Cellular Physiology and Biochemistry. 46(5). 2173–2186. 21 indexed citations
9.
Mei, Zhigang, et al.. (2017). Fermented Chinese formula Shuan-Tong-Ling attenuates ischemic stroke by inhibiting inflammation and apoptosis. Neural Regeneration Research. 12(3). 425–425. 37 indexed citations
10.
11.
Li, Haitao, Hua-Jun Zhou, Jianhua Zhong, et al.. (2016). 2-methoxyestradiol inhibits intracerebral hemorrhage-induced angiogenesis in rats. Turkish Neurosurgery. 28(2). 241–247. 5 indexed citations
12.
Cui, Hanjin, Haoyu He, Ali Yang, et al.. (2015). Efficacy of Deferoxamine in Animal Models of Intracerebral Hemorrhage: A Systematic Review and Stratified Meta-Analysis. PLoS ONE. 10(5). e0127256–e0127256. 59 indexed citations
13.
Zhou, Hua-Jun, Tao Tang, Jianhua Zhong, et al.. (2014). Electroacupuncture improves recovery after hemorrhagic brain injury by inducing the expression of angiopoietin-1 and -2 in rats. BMC Complementary and Alternative Medicine. 14(1). 127–127. 15 indexed citations
14.
15.
Yang, Ali, Hua-Jun Zhou, Yuan Lin, et al.. (2012). Thrombin promotes the expression of thrombospondin-1 and ‐2 in a rat model of intracerebral hemorrhage. Journal of the Neurological Sciences. 323(1-2). 141–146. 22 indexed citations
16.
Zhou, Hua-Jun, Tao Tang, Hanjin Cui, et al.. (2012). Thrombin-triggered angiogenesis in rat brains following experimental intracerebral hemorrhage. Journal of neurosurgery. 117(5). 920–928. 37 indexed citations
17.
Zhou, Hua-Jun. (2009). Effects of Emodin on mRNA Expression of Apoptosis-inducing Factor and Endonuclease G of Rat CBRH-7919 Cells. Traditional Chinese Drug Research and Clinical Pharmacology. 1 indexed citations
18.
Zhou, Hua-Jun, Tao Tang, & Jianhua Zhong. (2008). [Effect of buyang huanwu decoction on expressions of angiopoietin-1 and its receptor mRNA in brain of rat after intracerebral hemorrhage].. PubMed. 28(4). 343–7. 3 indexed citations
19.
Zhou, Hua-Jun, Tao Tang, Hainan Zhang, et al.. (2008). Expression of Angiopoietin-1 and the receptor Tie-2 mRNA in rat brains following intracerebral hemorrhage. Acta Neurobiologiae Experimentalis. 68(2). 147–154. 12 indexed citations
20.
Tang, Tao, Xiaojuan Liu, Zongqi Zhang, et al.. (2007). Cerebral angiogenesis after collagenase-induced intracerebral hemorrhage in rats. Brain Research. 1175. 134–142. 60 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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