Jing Zhao

4.1k total citations
125 papers, 3.4k citations indexed

About

Jing Zhao is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Jing Zhao has authored 125 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 27 papers in Epidemiology and 24 papers in Immunology. Recurrent topics in Jing Zhao's work include Autophagy in Disease and Therapy (23 papers), Angiogenesis and VEGF in Cancer (10 papers) and Cell Adhesion Molecules Research (10 papers). Jing Zhao is often cited by papers focused on Autophagy in Disease and Therapy (23 papers), Angiogenesis and VEGF in Cancer (10 papers) and Cell Adhesion Molecules Research (10 papers). Jing Zhao collaborates with scholars based in China, United States and South Korea. Jing Zhao's co-authors include Jun‐Ying Miao, Bao‐Xiang Zhao, Shangli Zhang, ShangLi Zhang, Le Su, Wei Zhao, Wanwan Huai, Hui Song, Lining Zhang and Chuandong Fan and has published in prestigious journals such as Nature Communications, The Journal of Immunology and PLoS ONE.

In The Last Decade

Jing Zhao

122 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Zhao China 30 1.8k 594 575 445 439 125 3.4k
De‐Li Dong China 33 2.5k 1.4× 430 0.7× 436 0.8× 465 1.0× 558 1.3× 105 4.0k
Mushtaq Ahmad United States 20 1.3k 0.8× 635 1.1× 207 0.4× 341 0.8× 319 0.7× 67 3.3k
Pierre Formstecher France 35 2.4k 1.4× 459 0.8× 364 0.6× 194 0.4× 344 0.8× 114 3.9k
Yasuhiro Yamada Japan 37 2.4k 1.4× 889 1.5× 925 1.6× 530 1.2× 415 0.9× 105 5.7k
Huy Ong Canada 37 2.0k 1.1× 398 0.7× 498 0.9× 339 0.8× 215 0.5× 140 4.4k
Jean‐Claude Mazière France 33 1.8k 1.0× 400 0.7× 230 0.4× 350 0.8× 618 1.4× 142 4.1k
Laura Masuelli Italy 37 1.9k 1.1× 615 1.0× 324 0.6× 119 0.3× 336 0.8× 128 3.9k
Tania Fiaschi Italy 31 2.1k 1.2× 564 0.9× 381 0.7× 151 0.3× 790 1.8× 73 3.4k
Nathalie Andrieu‐Abadie France 36 3.1k 1.8× 809 1.4× 363 0.6× 332 0.7× 334 0.8× 85 4.5k
Violeta Yu United States 15 3.2k 1.8× 774 1.3× 327 0.6× 215 0.5× 483 1.1× 29 4.4k

Countries citing papers authored by Jing Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Jing Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Zhao. A scholar is included among the top collaborators of Jing 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 Jing Zhao. Jing 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
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Fu, Rongxin, Nan Zhang, Jing Zhao, et al.. (2024). Digital microfluidics with integrated Raman sensor for high-sensitivity in-situ bioanalysis. Biosensors and Bioelectronics. 271. 117036–117036. 15 indexed citations
3.
Cai, Yuqing, Yifan Yu, Tianliang Zhang, et al.. (2024). GATAD1 is involved in sphingosylphosphorylcholine-attenuated myocardial ischemia-reperfusion injury by modulating myocardial fatty acid oxidation and glucose oxidation. Free Radical Biology and Medicine. 227. 166–178. 2 indexed citations
4.
Zhou, Jinrun, Honghong Liu, Tianliang Zhang, et al.. (2023). MORN4 protects cardiomyocytes against ischemic injury via MFN2-mediated mitochondrial dynamics and mitophagy. Free Radical Biology and Medicine. 196. 156–170. 14 indexed citations
5.
Wang, Shuya, F. M. Meng, Min Li, et al.. (2020). Cilostazol alleviate nicotine induced cardiomyocytes hypertrophy through modulation of autophagy by CTSB/ROS/p38MAPK/JNK feedback loop. International Journal of Biological Sciences. 16(11). 2001–2013. 24 indexed citations
6.
Liu, Pingping, et al.. (2017). Aspirin alleviates cardiac fibrosis in mice by inhibiting autophagy. Acta Pharmacologica Sinica. 38(4). 488–497. 31 indexed citations
7.
Liu, Jing, Hui Fu, Fen Chang, et al.. (2016). Sodium orthovanadate suppresses palmitate-induced cardiomyocyte apoptosis by regulation of the JAK2/STAT3 signaling pathway. APOPTOSIS. 21(5). 546–557. 11 indexed citations
8.
Liu, Shuyan, Xiangqian Kong, Di Ge, et al.. (2016). Identification of New Small Molecules as Apoptosis Inhibitors in Vascular Endothelial Cells. Journal of Cardiovascular Pharmacology. 67(4). 312–318. 5 indexed citations
9.
Zhao, Jing, Huimin Yan, Ya Li, et al.. (2015). Pitavastatin calcium improves endothelial function and delays the progress of atherosclerosis in patients with hypercholesterolemia. Journal of Zhejiang University SCIENCE B. 16(5). 380–387. 11 indexed citations
10.
Wang, Jinlan, Zheng Zhang, Jing Liu, et al.. (2015). Structural characterization and evolutionary analysis of fish-specific TLR27. Fish & Shellfish Immunology. 45(2). 940–945. 41 indexed citations
11.
Yue, Hong-Wei, Jing Liu, Pingping Liu, et al.. (2015). Sphingosylphosphorylcholine protects cardiomyocytes against ischemic apoptosis via lipid raft/PTEN/Akt1/mTOR mediated autophagy. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1851(9). 1186–1193. 28 indexed citations
12.
Huang, Shuya, Ning Liu, Haiying Li, et al.. (2014). TIA1 interacts with annexin A7 in regulating vascular endothelial cell autophagy. The International Journal of Biochemistry & Cell Biology. 57. 115–122. 21 indexed citations
13.
Su, Le, Lei Han, Fei Ge, et al.. (2012). The effect of novel magnetic nanoparticles on vascular endothelial cell function in vitro and in vivo. Journal of Hazardous Materials. 235-236. 316–325. 18 indexed citations
14.
Ninɡ, Menɡ, Jing Zhao, Le Su, et al.. (2011). A butyrolactone derivative suppressed lipopolysaccharide-induced autophagic injury through inhibiting the autoregulatory loop of p8 and p53 in vascular endothelial cells. The International Journal of Biochemistry & Cell Biology. 44(2). 311–319. 23 indexed citations
15.
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Xuan, Hongzhuan, et al.. (2010). Effect of Brazilian propolis on human umbilical vein endothelial cell apoptosis. Food and Chemical Toxicology. 49(1). 78–85. 36 indexed citations
17.
Ninɡ, Menɡ, Lingling Wu, Jiangang Gao, et al.. (2010). Lipopolysaccharide induces autophagy through BIRC2 in human umbilical vein endothelial cells. Journal of Cellular Physiology. 225(1). 174–179. 30 indexed citations
18.
He, Qiuxia, Bin Huang, Jing Zhao, et al.. (2008). Knockdown of integrin β4‐induced autophagic cell death associated with P53 in A549 lung adenocarcinoma cells. FEBS Journal. 275(22). 5725–5732. 11 indexed citations
19.
20.
Su, Le, et al.. (2006). Safrole oxide induced human umbilical vein vascular endothelial cell differentiation into neuron-like cells by depressing the reactive oxygen species level at the low concentration. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1763(2). 247–253. 19 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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