Zhonghua Dai

1.3k total citations
30 papers, 971 citations indexed

About

Zhonghua Dai is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Zhonghua Dai has authored 30 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Neurology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Zhonghua Dai's work include MicroRNA in disease regulation (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Zhonghua Dai is often cited by papers focused on MicroRNA in disease regulation (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Zhonghua Dai collaborates with scholars based in China, United States and Japan. Zhonghua Dai's co-authors include Liangbiao Chen, Mikko T. Huuskonen, Zhen Zhao, Axel Montagne, Berislav V. Zloković, Yaoming Wang, Angeliki M. Nikolakopoulou, Abhay P. Sagare, Kassandra Kisler and Divna Lazić and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The EMBO Journal.

In The Last Decade

Zhonghua Dai

29 papers receiving 964 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhonghua Dai China 13 402 220 142 141 139 30 971
Param Priya Singh United States 13 628 1.6× 89 0.4× 62 0.4× 64 0.5× 52 0.4× 22 1.3k
Anathbandhu Chaudhuri United States 14 487 1.2× 224 1.0× 43 0.3× 94 0.7× 52 0.4× 33 1.2k
Joana Neves United States 20 766 1.9× 119 0.5× 182 1.3× 100 0.7× 129 0.9× 35 1.4k
Margherita Piccolella Italy 23 763 1.9× 49 0.2× 348 2.5× 85 0.6× 376 2.7× 47 1.6k
Luke S. Tain United Kingdom 17 670 1.7× 51 0.2× 87 0.6× 119 0.8× 150 1.1× 21 1.3k
Andrew Davis United States 14 466 1.2× 78 0.4× 150 1.1× 35 0.2× 238 1.7× 22 1.1k
Javier Francisco‐Morcillo Spain 18 554 1.4× 88 0.4× 140 1.0× 21 0.1× 94 0.7× 44 838
Torao Yamamoto Japan 20 391 1.0× 96 0.4× 213 1.5× 151 1.1× 49 0.4× 75 1.1k
Oliver Schmachtenberg Chile 22 434 1.1× 42 0.2× 95 0.7× 119 0.8× 64 0.5× 58 1.2k
Yuk Fai Leung United States 20 806 2.0× 83 0.4× 432 3.0× 44 0.3× 66 0.5× 53 1.3k

Countries citing papers authored by Zhonghua Dai

Since Specialization
Citations

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

Fields of papers citing papers by Zhonghua Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhonghua Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Zhonghua Dai. A scholar is included among the top collaborators of Zhonghua Dai 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 Zhonghua Dai. Zhonghua Dai 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.
2.
Feng, Yan, Shaojie Zhang, Tong Zhao, et al.. (2024). ALKBH5 deficiency attenuates oxygen-glucose deprivation-induced injury in mouse brain microvascular endothelial cells in an m6A dependent manner. Experimental Neurology. 380. 114910–114910. 3 indexed citations
3.
Cui, Hongmei, Ling Yin, Xing Huang, et al.. (2022). Zeolite fly ash-enhanced coagulation treatment of oil recovery wastewater from polymer flooding. Environmental Science and Pollution Research. 29(60). 90318–90327. 5 indexed citations
4.
Chen, Xing, Zhonghua Dai, Ying Liu, et al.. (2022). Corticotropin-releasing factor receptor 1 in infralimbic cortex modulates social stress-altered decision-making. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 116. 110523–110523. 2 indexed citations
5.
Dai, Zhonghua, Ying Liu, Weiqi Chen, et al.. (2022). Locus coeruleus input-modulated reactivation of dentate gyrus opioid-withdrawal engrams promotes extinction. Neuropsychopharmacology. 48(2). 327–340. 11 indexed citations
6.
Huuskonen, Mikko T., Yaoming Wang, Angeliki M. Nikolakopoulou, et al.. (2021). Protection of ischemic white matter and oligodendrocytes in mice by 3K3A-activated protein C. The Journal of Experimental Medicine. 219(1). 22 indexed citations
7.
Nikolakopoulou, Angeliki M., Yaoming Wang, Qingyi Ma, et al.. (2021). Endothelial LRP1 protects against neurodegeneration by blocking cyclophilin A. The Journal of Experimental Medicine. 218(4). 88 indexed citations
8.
Zhong, Mei, et al.. (2021). Network pharmacology-based elucidation of the molecular mechanism underlying the anti-migraine effect of Asari Radix et Rhizoma. Tropical Journal of Pharmaceutical Research. 18(10). 2067–2074. 1 indexed citations
9.
Dai, Zhonghua, et al.. (2019). Evaluation of heavy metals and pesticide residues in Dendrobium officinale produced in Guangxi.. Medicinal plant. 10(5). 73–81. 1 indexed citations
10.
Nikolakopoulou, Angeliki M., Axel Montagne, Kassandra Kisler, et al.. (2019). Pericyte loss leads to circulatory failure and pleiotrophin depletion causing neuron loss. Nature Neuroscience. 22(7). 1089–1098. 263 indexed citations
11.
Dai, Zhonghua, et al.. (2018). Medium spiny neurons of the anterior dorsomedial striatum mediate reversal learning in a cell-type-dependent manner. Brain Structure and Function. 224(1). 419–434. 17 indexed citations
12.
Sun, Qingxiang, Yong Xin, Xiaodong Sun, et al.. (2017). Structural and functional insights into sorting nexin 5/6 interaction with bacterial effector IncE. Signal Transduction and Targeted Therapy. 2(1). 17030–17030. 38 indexed citations
13.
Xia, Pengyan, Shuo Wang, Ying Du, et al.. (2013). WASH inhibits autophagy through suppression of Beclin 1 ubiquitination. The EMBO Journal. 32(20). 2685–2696. 157 indexed citations
14.
15.
Yang, Ruolin, et al.. (2011). MicroRNA-mediated gene regulation plays a minor role in the transcriptomic plasticity of cold-acclimated Zebrafish brain tissue. BMC Genomics. 12(1). 605–605. 38 indexed citations
16.
Dai, Zhonghua & Liangbiao Chen. (2010). The impact of microRNAs on the evolution of metazoan complexity. Hereditas (Beijing). 32(2). 105–114. 2 indexed citations
17.
Dai, Zhonghua, Zuozhou Chen, Hua Ye, et al.. (2009). Characterization of microRNAs in cephalochordates reveals a correlation between microRNA repertoire homology and morphological similarity in chordate evolution. Evolution & Development. 11(1). 41–49. 25 indexed citations
18.
Chen, Zuozhou, C.‐H. Christina Cheng, Junfang Zhang, et al.. (2008). Transcriptomic and genomic evolution under constant cold in Antarctic notothenioid fish. Proceedings of the National Academy of Sciences. 105(35). 12944–12949. 207 indexed citations
19.
Li, Huangyuan, Nian Shi, Zhonghua Dai, Yufang Zhong, & Siying Wu. (2006). [Effects of deltamethrin on gene expression of some antioxidase, gamma glutamylcysteine synthetase and NFE2 related factor 2 (Nrf2) in brain tissue].. PubMed. 24(5). 273–7.
20.
Li, Huangyuan, Nian Shi, Dan Chen, et al.. (2005). [Oxidative stress of deltamethrin on rat nervous system].. PubMed. 23(2). 97–101. 16 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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