Kexiang Zhao

848 total citations
22 papers, 556 citations indexed

About

Kexiang Zhao is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Kexiang Zhao has authored 22 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 8 papers in Molecular Biology and 7 papers in Neurology. Recurrent topics in Kexiang Zhao's work include Adipose Tissue and Metabolism (6 papers), Muscle Physiology and Disorders (5 papers) and Neurological Disease Mechanisms and Treatments (4 papers). Kexiang Zhao is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Muscle Physiology and Disorders (5 papers) and Neurological Disease Mechanisms and Treatments (4 papers). Kexiang Zhao collaborates with scholars based in China. Kexiang Zhao's co-authors include Qian Xiao, Yuxing Zhao, Die Pu, Cheng Luo, Zhiyin Liao, Yue Sun, Jinliang Chen, Jing Zhou, Jinliang Chen and Shiyu Zhu and has published in prestigious journals such as Neuroscience, Experimental Cell Research and European Journal of Pharmacology.

In The Last Decade

Kexiang Zhao

22 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kexiang Zhao China 14 241 227 84 80 47 22 556
Yuandi Xi China 17 379 1.6× 250 1.1× 50 0.6× 85 1.1× 74 1.6× 56 881
Ana Beatriz Costa Brazil 7 222 0.9× 190 0.8× 105 1.3× 57 0.7× 26 0.6× 8 601
Aline Haas de Mello Brazil 12 324 1.3× 248 1.1× 162 1.9× 49 0.6× 64 1.4× 22 794
Vineet Kumar Khemka India 10 279 1.2× 147 0.6× 137 1.6× 67 0.8× 60 1.3× 17 620
Yujin Guo China 18 149 0.6× 366 1.6× 115 1.4× 170 2.1× 50 1.1× 53 1.0k
Liliana Letra Portugal 12 268 1.1× 134 0.6× 136 1.6× 59 0.7× 26 0.6× 17 572
Dantao Peng China 17 265 1.1× 203 0.9× 51 0.6× 161 2.0× 27 0.6× 71 804
Liping Xu China 13 191 0.8× 187 0.8× 56 0.7× 80 1.0× 63 1.3× 29 679
Silvia Maioli Sweden 16 404 1.7× 354 1.6× 102 1.2× 119 1.5× 117 2.5× 40 1.0k

Countries citing papers authored by Kexiang Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Kexiang Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kexiang Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Kexiang Zhao. A scholar is included among the top collaborators of Kexiang Zhao 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 Kexiang Zhao. Kexiang Zhao 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.
Wu, Yongxin, Jing Yu, Xin Dai, et al.. (2024). Irisin alters d-galactose-induced apoptosis by increasing caveolin-1 expression in C2C12 myoblasts and skeletal muscle fibroblasts. Molecular and Cellular Biochemistry. 480(1). 577–588. 3 indexed citations
2.
Wu, Yongxin, Jing Yu, Rao Fu, et al.. (2022). Irisin ameliorates D-galactose-induced skeletal muscle fibrosis via the PI3K/Akt pathway. European Journal of Pharmacology. 939. 175476–175476. 16 indexed citations
3.
Chen, Jinliang, Dong-Mei Chen, Cheng Luo, et al.. (2021). Fibrinogen, fibrin degradation products and risk of sarcopenia. Clinical Nutrition. 40(8). 4830–4837. 13 indexed citations
4.
Zhao, Kexiang, et al.. (2020). [The development history of CAPOS and the diagnosis and treatment of pediatric eye diseases in China since 1949].. PubMed. 56(3). 161–165. 1 indexed citations
5.
Zhu, Shiyu, Jinliang Chen, Yuxing Zhao, et al.. (2019). Inhibition of TLR9 attenuates skeletal muscle fibrosis in aged sarcopenic mice via the p53/SIRT1 pathway. Experimental Gerontology. 122. 25–33. 26 indexed citations
6.
Zhou, Jing, Zhiyin Liao, Jinliang Chen, Kexiang Zhao, & Qian Xiao. (2018). Integrated study on comparative transcriptome and skeletal muscle function in aged rats. Mechanisms of Ageing and Development. 169. 32–39. 13 indexed citations
8.
Chen, Jinliang, Cheng Luo, Die Pu, et al.. (2018). Metformin attenuates diabetes-induced tau hyperphosphorylation in vitro and in vivo by enhancing autophagic clearance. Experimental Neurology. 311. 44–56. 99 indexed citations
9.
Guo, Jianfei, et al.. (2018). α‑lipoic acid can greatly alleviate the toxic effect of AGES on SH‑SY5Y cells. International Journal of Molecular Medicine. 41(5). 2855–2864. 4 indexed citations
10.
Zhao, Yuxing, Cheng Luo, Jinliang Chen, et al.. (2018). High glucose‐induced complement component 3 up‐regulation via RAGE‐p38MAPKNF‐κB signalling in astrocytes: In vivo and in vitro studies. Journal of Cellular and Molecular Medicine. 22(12). 6087–6098. 26 indexed citations
11.
Chen, Dongmei & Kexiang Zhao. (2017). Myokines and osteokines in muscle-bone interactions. Zhonghua laonian yixue zazhi. 36(3). 344–347. 1 indexed citations
12.
Sun, Yue, Qian Xiao, Cheng Luo, et al.. (2017). High-glucose induces tau hyperphosphorylation through activation of TLR9-P38MAPK pathway. Experimental Cell Research. 359(2). 312–318. 33 indexed citations
13.
Chen, Jinliang, Dongling Zhang, Yue Sun, et al.. (2017). Angiotensin-(1–7) administration attenuates Alzheimer’s disease-like neuropathology in rats with streptozotocin-induced diabetes via Mas receptor activation. Neuroscience. 346. 267–277. 39 indexed citations
14.
Zhao, Yuxing, Die Pu, Yue Sun, et al.. (2017). High glucose-induced defective thrombospondin-1 release from astrocytes via TLR9 activation contributes to the synaptic protein loss. Experimental Cell Research. 363(2). 171–178. 13 indexed citations
15.
Liao, Zhiyin, Jinliang Chen, Yue Sun, et al.. (2017). The effect of exercise, resveratrol or their combination on Sarcopenia in aged rats via regulation of AMPK/Sirt1 pathway. Experimental Gerontology. 98. 177–183. 82 indexed citations
16.
Xiao, Qian, et al.. (2016). [Effects of ghrelin on hippocampal DKK-1 expression and cognitive function in rats with diabetes mellitus].. PubMed. 36(4). 500–5. 5 indexed citations
17.
Liu, Xiaoyan, Qian Xiao, Kexiang Zhao, & Yuan Gao. (2013). Ghrelin Inhibits High Glucose-Induced PC12 Cell Apoptosis by Regulating TLR4/NF-κB Pathway. Inflammation. 36(6). 1286–1294. 27 indexed citations
18.
Zhao, Kexiang, Huang Changquan, Qian Xiao, et al.. (2012). Age and risk for depression among the elderly: a meta-analysis of the published literature. CNS Spectrums. 17(3). 142–154. 51 indexed citations
19.
Ma, Louyan, Dongmin Zhang, Yong Tang, et al.. (2011). Ghrelin-Attenuated Cognitive Dysfunction in Streptozotocin-induced Diabetic Rats. Alzheimer Disease & Associated Disorders. 25(4). 352–363. 36 indexed citations
20.
Zhao, Kexiang, et al.. (2008). [Study on the change of myocardial cell and matrix in the rats with insulin resistance and type 2 diabetes mellitus].. PubMed. 39(3). 402–5. 1 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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