Haiying Chu

514 total citations
18 papers, 424 citations indexed

About

Haiying Chu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Haiying Chu has authored 18 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Neurology. Recurrent topics in Haiying Chu's work include Alzheimer's disease research and treatments (4 papers), Neurological Disease Mechanisms and Treatments (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Haiying Chu is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Neurological Disease Mechanisms and Treatments (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Haiying Chu collaborates with scholars based in China and Singapore. Haiying Chu's co-authors include Haiying Ma, Chenghong Zhang, Li Kong, Chunyang Wang, Tao Chen, Huimin Zhou, Yu Guo, Yichuan Hu, Jianing Zhang and Xianyi Meng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Comparative Neurology and Biochemical and Biophysical Research Communications.

In The Last Decade

Haiying Chu

18 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiying Chu China 13 219 86 71 64 56 18 424
Verónica Bobo-Jiménez Spain 8 256 1.2× 75 0.9× 36 0.5× 92 1.4× 83 1.5× 10 468
Marco Castro Spain 10 231 1.1× 74 0.9× 39 0.5× 128 2.0× 96 1.7× 11 527
Atsushi Oyagi Japan 15 327 1.5× 149 1.7× 128 1.8× 96 1.5× 42 0.8× 18 636
Min Qu China 12 237 1.1× 55 0.6× 55 0.8× 101 1.6× 48 0.9× 19 464
Tuanjie Huang China 12 209 1.0× 59 0.7× 26 0.4× 84 1.3× 47 0.8× 14 460
Beatrice D’Orsi Ireland 11 332 1.5× 153 1.8× 59 0.8× 111 1.7× 73 1.3× 19 541
Raquel M. Melero-Fernández de Mera Spain 11 319 1.5× 66 0.8× 40 0.6× 96 1.5× 52 0.9× 17 659
Fucheng Luo United States 13 284 1.3× 103 1.2× 63 0.9× 69 1.1× 110 2.0× 19 500
Ioanna Sevastou United Kingdom 11 361 1.6× 68 0.8× 85 1.2× 107 1.7× 127 2.3× 13 607
Tong Wen China 9 329 1.5× 75 0.9× 80 1.1× 63 1.0× 55 1.0× 15 491

Countries citing papers authored by Haiying Chu

Since Specialization
Citations

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

Fields of papers citing papers by Haiying Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiying Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiying Chu. A scholar is included among the top collaborators of Haiying Chu 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 Haiying Chu. Haiying Chu 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.
Wang, Chunyang, Jie Chen, Haiying Chu, et al.. (2023). Selective Targeting of Class I HDAC Reduces Microglial Inflammation in the Entorhinal Cortex of Young APP/PS1 Mice. International Journal of Molecular Sciences. 24(5). 4805–4805. 15 indexed citations
2.
Chen, Le, Jie Chen, Chunyang Wang, et al.. (2022). A Class I HDAC Inhibitor Rescues Synaptic Damage and Neuron Loss in APP-Transfected Cells and APP/PS1 Mice through the GRIP1/AMPA Pathway. Molecules. 27(13). 4160–4160. 16 indexed citations
3.
Zhang, Chenghong, et al.. (2022). A Class I HDAC Inhibitor BG45 Alleviates Cognitive Impairment through the CaMKII/ITPKA/Ca2+ Signaling Pathway. Pharmaceuticals. 15(12). 1481–1481. 4 indexed citations
4.
Guo, Yu, Chenghong Zhang, Chunyang Wang, et al.. (2021). Thioredoxin-1 Is a Target to Attenuate Alzheimer-Like Pathology in Diabetic Encephalopathy by Alleviating Endoplasmic Reticulum Stress and Oxidative Stress. Frontiers in Physiology. 12. 651105–651105. 25 indexed citations
5.
Ren, Xiang, Ying Han, Le Chen, et al.. (2020). Sulforaphane attenuates apoptosis of hippocampal neurons induced by high glucose via regulating endoplasmic reticulum. Neurochemistry International. 136. 104728–104728. 27 indexed citations
6.
Meng, Xianyi, Chenghong Zhang, Yu Guo, et al.. (2020). TBHQ Attenuates Neurotoxicity Induced by Methamphetamine in the VTA through the Nrf2/HO-1 and PI3K/AKT Signaling Pathways. Oxidative Medicine and Cellular Longevity. 2020. 1–13. 41 indexed citations
7.
Chen, Le, Chenghong Zhang, Ying Han, et al.. (2019). Gingko biloba Extract (EGb) Inhibits Oxidative Stress in Neuro 2A Cells Overexpressing APPsw. BioMed Research International. 2019. 1–9. 16 indexed citations
8.
Du, Yu, Wuliji Ao, Xiang Ren, et al.. (2018). Antioxidant effects of Lycium barbarum polysaccharides on photoreceptor degeneration in the light-exposed mouse retina. Biomedicine & Pharmacotherapy. 103. 829–837. 45 indexed citations
9.
10.
Ma, Haiying, Tao Chen, Y. Yu, et al.. (2017). Neural stem cells over-expressing brain-derived neurotrophic factor promote neuronal survival and cytoskeletal protein expression in traumatic brain injury sites. Neural Regeneration Research. 12(3). 433–433. 32 indexed citations
11.
Wang, Jianfeng, et al.. (2014). Transcriptional upregulation centra of HO-1 by EGB via the MAPKs/Nrf2 pathway in mouse C2C12 myoblasts. Toxicology in Vitro. 29(2). 380–388. 16 indexed citations
12.
Chu, Haiying. (2011). Effects of increased matrix metalloproteinase-9 expression on skeletal muscle fibrosis in prolonged alcoholic myopathies of rats. Molecular Medicine Reports. 5(1). 60–5. 10 indexed citations
13.
Chu, Haiying. (2010). Protective and treatment effects of ginkgo biloba extract on ethanol-induced injury of skeletal muscles in rat. 1 indexed citations
14.
Wang, Jianfeng, Haiying Chu, Hua Zhao, et al.. (2007). Nitricoxide synthase-induced oxidative stress in prolonged alcoholic myopathies of rats. Molecular and Cellular Biochemistry. 304(1-2). 135–142. 9 indexed citations
15.
Liang, Fengyi, Bin Zhang, Jing Guo, et al.. (2007). RIM3γ is a postsynaptic protein in the rat central nervous system. The Journal of Comparative Neurology. 503(4). 501–510. 7 indexed citations
16.
Chu, Haiying, Huimin Zhou, Yanli Liu, et al.. (2006). Functional expression of CXC chemokine recepter-4 mediates the secretion of matrix metalloproteinases from mouse hepatocarcinoma cell lines with different lymphatic metastasis ability. The International Journal of Biochemistry & Cell Biology. 39(1). 197–205. 35 indexed citations
17.
Zhou, Huimin, Jia Li, Shujing Wang, et al.. (2006). Divergent expression and roles for caveolin-1 in mouse hepatocarcinoma cell lines with varying invasive ability. Biochemical and Biophysical Research Communications. 345(1). 486–494. 34 indexed citations
18.
Zhang, Bin, Qiong Cao, Anchen Guo, et al.. (2005). Juxtanodin: An oligodendroglial protein that promotes cellular arborization and 2′,3′-cyclic nucleotide-3′-phosphodiesterase trafficking. Proceedings of the National Academy of Sciences. 102(32). 11527–11532. 33 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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