Zhong-Hao Zhang

879 total citations
25 papers, 738 citations indexed

About

Zhong-Hao Zhang is a scholar working on Nutrition and Dietetics, Physiology and Toxicology. According to data from OpenAlex, Zhong-Hao Zhang has authored 25 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Nutrition and Dietetics, 9 papers in Physiology and 7 papers in Toxicology. Recurrent topics in Zhong-Hao Zhang's work include Selenium in Biological Systems (13 papers), Alzheimer's disease research and treatments (7 papers) and Trace Elements in Health (7 papers). Zhong-Hao Zhang is often cited by papers focused on Selenium in Biological Systems (13 papers), Alzheimer's disease research and treatments (7 papers) and Trace Elements in Health (7 papers). Zhong-Hao Zhang collaborates with scholars based in China, United States and Hong Kong. Zhong-Hao Zhang's co-authors include Guo-Li Song, Chen Chen, Jiazuan Ni, Qiong Liu, Qiuyan Wu, Yao Chen, Rui Zheng, Peter R. Hoffmann, Rui Zheng and Yu Zhang and has published in prestigious journals such as Journal of Neuroscience, Journal of Agricultural and Food Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Zhong-Hao Zhang

23 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhong-Hao Zhang China 15 398 216 165 109 75 25 738
Shuling Xiong United States 12 185 0.5× 375 1.7× 272 1.6× 88 0.8× 91 1.2× 13 786
Jui‐Sheng Wu Taiwan 15 114 0.3× 144 0.7× 545 3.3× 151 1.4× 90 1.2× 23 993
İlter Kuş Türkiye 19 210 0.5× 125 0.6× 197 1.2× 196 1.8× 51 0.7× 44 950
Hanna Pawluk Poland 16 180 0.5× 168 0.8× 224 1.4× 58 0.5× 32 0.4× 33 883
J. A. Molina Spain 18 328 0.8× 271 1.3× 265 1.6× 159 1.5× 45 0.6× 30 954
Tuncay Altuğ Türkiye 18 112 0.3× 94 0.4× 208 1.3× 49 0.4× 81 1.1× 46 1.0k
Luciane Rosa Feksa Brazil 16 107 0.3× 91 0.4× 179 1.1× 118 1.1× 21 0.3× 37 592
A Jain United States 6 201 0.5× 206 1.0× 413 2.5× 66 0.6× 28 0.4× 7 1.1k
Carmen Arce Spain 11 152 0.4× 82 0.4× 182 1.1× 227 2.1× 25 0.3× 18 646
Enrique Martı́nez-Balları́n Spain 18 82 0.2× 141 0.7× 172 1.0× 71 0.7× 30 0.4× 23 696

Countries citing papers authored by Zhong-Hao Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Zhong-Hao Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhong-Hao Zhang. 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 Zhong-Hao Zhang. The network helps show where Zhong-Hao Zhang may publish in the future.

Co-authorship network of co-authors of Zhong-Hao Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhong-Hao Zhang. A scholar is included among the top collaborators of Zhong-Hao Zhang 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 Zhong-Hao Zhang. Zhong-Hao Zhang 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.
Yao, Xingang, Zhong-Hao Zhang, Gang Lin, et al.. (2025). Unlocking microbiota potential: the role of organic copper in enhancing healthy white shrimp (Penaeus vannamei) farming. Animal Microbiome. 7(1). 87–87.
2.
Li, Nan, Zhong-Hao Zhang, Liming Shen, et al.. (2024). Selenium metabolism and selenoproteins function in brain and encephalopathy. Science China Life Sciences. 68(3). 628–656. 7 indexed citations
3.
Zhang, Zhong-Hao, Tao Gao, Zizhong Tang, et al.. (2024). Preparation and characterization of high-methoxyl pectin/glycerides emulsion for pH-responsive, targeting, and sustained release of fat-soluble substances. International Journal of Biological Macromolecules. 282(Pt 1). 136675–136675.
6.
Li, Yu, Zhi He, Zhong-Hao Zhang, et al.. (2023). Knockdown of the SELENOK gene induces ferroptosis in cervical cancer cells. Metallomics. 15(4). 9 indexed citations
7.
Cai, Zhiyu, et al.. (2023). Molecular Regulation Mechanism of Microglial Autophagy in the Pathology of Alzheimer's Disease. Aging and Disease. 14(4). 0–0. 14 indexed citations
9.
Zhang, Zhong-Hao, Chen Chen, Yubin Chen, et al.. (2021). Selenoprotein K deficiency-induced apoptosis: A role for calpain and the ERS pathway. Redox Biology. 47. 102154–102154. 50 indexed citations
10.
Zhang, Zhong-Hao & Guo-Li Song. (2021). Roles of Selenoproteins in Brain Function and the Potential Mechanism of Selenium in Alzheimer’s Disease. Frontiers in Neuroscience. 15. 646518–646518. 79 indexed citations
11.
Chen, Chen, Yao Chen, Zhong-Hao Zhang, et al.. (2021). Selenomethionine Improves Mitochondrial Function by Upregulating Mitochondrial Selenoprotein in a Model of Alzheimer’s Disease. Frontiers in Aging Neuroscience. 13. 750921–750921. 18 indexed citations
12.
Chen, Chen, Di Xu, Zhong-Hao Zhang, et al.. (2020). Cognitive improvement and synaptic deficit attenuation by a multifunctional carbazole-based cyanine in AD mice model through regulation of Ca2+/CaMKII/CREB signaling pathway. Experimental Neurology. 327. 113210–113210. 12 indexed citations
13.
Yang, Yujie, Zhong-Hao Zhang, Lei Zhang, et al.. (2019). Loss of MsrB1 perturbs spatial learning and long-term potentiation/long-term depression in mice. Neurobiology of Learning and Memory. 166. 107104–107104. 16 indexed citations
14.
Zheng, Rui, Zhong-Hao Zhang, Yuxi Zhao, et al.. (2019). Transcriptomic Insights into the Response of the Olfactory Bulb to Selenium Treatment in a Mouse Model of Alzheimer’s Disease. International Journal of Molecular Sciences. 20(12). 2998–2998. 20 indexed citations
15.
Song, Guo-Li, Chen Chen, Qiuyan Wu, et al.. (2018). Selenium-enriched yeast inhibited β-amyloid production and modulated autophagy in a triple transgenic mouse model of Alzheimer's disease. Metallomics. 10(8). 1107–1115. 32 indexed citations
16.
Zheng, Rui, Zhong-Hao Zhang, Chen Chen, et al.. (2017). Selenomethionine promoted hippocampal neurogenesis via the PI3K-Akt-GSK3β-Wnt pathway in a mouse model of Alzheimer's disease. Biochemical and Biophysical Research Communications. 485(1). 6–15. 66 indexed citations
17.
Zhang, Zhong-Hao & Taowen Pan. (2017). HPLC determination of chlorogenic acid in Verbena officinalis L. extract and its in-vitro antibacterial activity. Biomedical Research-tokyo. 28(9). 3996–4001. 4 indexed citations
18.
Zhang, Zhong-Hao, Qiuyan Wu, Rui Zheng, et al.. (2017). Selenomethionine Mitigates Cognitive Decline by Targeting Both Tau Hyperphosphorylation and Autophagic Clearance in an Alzheimer's Disease Mouse Model. Journal of Neuroscience. 37(9). 2449–2462. 108 indexed citations
19.
Zhang, Zhong-Hao, Qiuyan Wu, Chen Chen, et al.. (2017). Selenomethionine Attenuates the Amyloid-β Level by Both Inhibiting Amyloid-β Production and Modulating Autophagy in Neuron-2a/AβPPswe Cells. Journal of Alzheimer s Disease. 59(2). 591–602. 22 indexed citations
20.
Zhang, Zhong-Hao, Chen Chen, Qiuyan Wu, et al.. (2016). Selenomethionine Ameliorates Neuropathology in the Olfactory Bulb of a Triple Transgenic Mouse Model of Alzheimer’s Disease. International Journal of Molecular Sciences. 17(10). 1595–1595. 14 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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