Jianqing Zhou

2.0k total citations
59 papers, 1.6k citations indexed

About

Jianqing Zhou is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jianqing Zhou has authored 59 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 21 papers in Cardiology and Cardiovascular Medicine and 19 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jianqing Zhou's work include Growth Hormone and Insulin-like Growth Factors (8 papers), Lipoproteins and Cardiovascular Health (7 papers) and Lipid metabolism and disorders (6 papers). Jianqing Zhou is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (8 papers), Lipoproteins and Cardiovascular Health (7 papers) and Lipid metabolism and disorders (6 papers). Jianqing Zhou collaborates with scholars based in China, United States and France. Jianqing Zhou's co-authors include CA Bondy, Carolyn A. Bondy, E Chin, Jiangfang Lian, O O Adesanya, Sabine Mazerbourg, Philippe Monget, JJ Kopchick, Xi Yang and Robert Reinhardt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Jianqing Zhou

58 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianqing Zhou China 21 729 452 285 256 233 59 1.6k
Harvest F. Gu Sweden 24 555 0.8× 267 0.6× 284 1.0× 143 0.6× 104 0.4× 55 1.5k
Jozef Lazar United States 27 656 0.9× 274 0.6× 391 1.4× 332 1.3× 68 0.3× 60 1.6k
Yoon Shin Cho South Korea 23 784 1.1× 217 0.5× 601 2.1× 73 0.3× 126 0.5× 62 1.7k
Shaw‐Yung Shai United States 22 804 1.1× 481 1.1× 203 0.7× 506 2.0× 62 0.3× 28 1.8k
Carrie Ris‐Stalpers Netherlands 29 934 1.3× 1.0k 2.2× 263 0.9× 98 0.4× 203 0.9× 66 2.7k
Juan Carlos Calvo Argentina 22 570 0.8× 235 0.5× 164 0.6× 80 0.3× 148 0.6× 79 2.0k
Hiroshi Kogo Japan 24 487 0.7× 381 0.8× 372 1.3× 77 0.3× 168 0.7× 101 1.8k
Blair Mell United States 18 936 1.3× 190 0.4× 255 0.9× 142 0.6× 266 1.1× 54 1.6k
Marie-Christine Leneveu France 18 380 0.5× 371 0.8× 248 0.9× 105 0.4× 95 0.4× 23 1.9k
Hyun‐Seok Jin South Korea 20 510 0.7× 232 0.5× 374 1.3× 102 0.4× 70 0.3× 93 1.3k

Countries citing papers authored by Jianqing Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Jianqing Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianqing Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Jianqing Zhou. A scholar is included among the top collaborators of Jianqing Zhou 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 Jianqing Zhou. Jianqing Zhou 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
2.
Huang, Chen, et al.. (2024). Exploring diagnostic biomarkers of type 2 cardio-renal syndrome based on secreted proteins and bioinformatics analysis. Scientific Reports. 14(1). 24612–24612. 1 indexed citations
3.
Wang, Bingyu, Jun Qiu, Bingyang Liu, et al.. (2024). Trimethylamine N-oxide promotes PERK-mediated endothelial-mesenchymal transition and apoptosis thereby aggravates atherosclerosis. International Immunopharmacology. 142(Pt B). 113209–113209. 7 indexed citations
4.
Zhou, Jianqing, et al.. (2023). Prognostic Value of Endothelial Progenitor Cells in Acute Myocardial Infarction Patients. Mediators of Inflammation. 2023. 1–8. 3 indexed citations
5.
Qiu, Jun, et al.. (2022). The Role and Research Progress of Inhibitor of Differentiation 1 in Atherosclerosis. DNA and Cell Biology. 41(2). 71–79. 4 indexed citations
6.
Qiu, Jun, Yuan Zhong, Xi Yang, et al.. (2022). Histone modification of endothelial-mesenchymal transition in cardiovascular diseases. Frontiers in Cardiovascular Medicine. 9. 1022988–1022988. 6 indexed citations
7.
Peng, Ping, Lu Wang, Xi Yang, et al.. (2014). A Preliminary Study of the Relationship between Promoter Methylation of the ABCG1, GALNT2 and HMGCR Genes and Coronary Heart Disease. PLoS ONE. 9(8). e102265–e102265. 51 indexed citations
8.
Wang, Feng, Haiyan Mao, Xiaoyan Huang, et al.. (2014). Effects of Ca2+-activated potassium and inward rectifier potassium channel on the differentiation of endothelial progenitor cells from human peripheral blood. Molecular Biology Reports. 41(5). 3413–3423. 6 indexed citations
9.
10.
Zhang, Li Na, Panpan Liu, Jianqing Zhou, et al.. (2013). Positive correlation between variants of lipid metabolism-related genes and coronary heart disease. Molecular Medicine Reports. 8(1). 260–266. 6 indexed citations
11.
Huang, Yi, Jiangfang Lian, R. Stephanie Huang, et al.. (2012). Positive Association Between rs10918859 of the NOS1AP Gene and Coronary Heart Disease in Male Han Chinese. Genetic Testing and Molecular Biomarkers. 17(1). 25–29. 16 indexed citations
12.
Lü, Xiaoli, Xi Yang, Xiaoyan Huang, et al.. (2012). RNA interference targeting E637K mutation rescues hERG channel currents and restores its kinetic properties. Heart Rhythm. 10(1). 128–136. 24 indexed citations
13.
Wang, Ying, Xiaoyan Huang, Jianqing Zhou, et al.. (2012). Trafficking-Deficient G572R-hERG and E637K-hERG Activate Stress and Clearance Pathways in Endoplasmic Reticulum. PLoS ONE. 7(1). e29885–e29885. 25 indexed citations
14.
Xia, Jiahong, Xi Yang, Xiaoyan Huang, et al.. (2011). Intermediate‐conductance Ca2+‐activated potassium and volume‐sensitive chloride channels in endothelial progenitor cells from rat bone marrow mononuclear cells. Acta Physiologica. 205(2). 302–313. 4 indexed citations
15.
Lian, Jiangfang, Na Huang, Xiaoyan Huang, et al.. (2010). Novel characteristics of a trafficking-defective G572R-hERG channel linked to hereditary long QT syndrome. Canadian Journal of Cardiology. 26(8). 417–422. 7 indexed citations
16.
Cheng, Cui-Ping, Jianqing Zhou, Anne M. Smith, et al.. (2004). Estradiol alters transcription factor gene expression in primate prefrontal cortex. Journal of Neuroscience Research. 76(3). 306–314. 37 indexed citations
17.
Adesanya, O O, et al.. (1999). Insulin-like growth factor 1 is required for G 2 progression in the estradiol-induced mitotic cycle. Proceedings of the National Academy of Sciences. 96(6). 3287–3291. 100 indexed citations
18.
Adesanya, O O, Jianqing Zhou, & Carolyn A. Bondy. (1996). Sex steroid regulation of insulin-like growth factor system gene expression and proliferation in primate myometrium.. The Journal of Clinical Endocrinology & Metabolism. 81(5). 1967–1974. 43 indexed citations
19.
Reinhardt, Robert, E Chin, Jianqing Zhou, et al.. (1995). Distinctive anatomical patterns of gene expression for cGMP-inhibited cyclic nucleotide phosphodiesterases.. Journal of Clinical Investigation. 95(4). 1528–1538. 137 indexed citations
20.
Zhou, Jianqing & CA Bondy. (1993). Placental glucose transporter gene expression and metabolism in the rat.. Journal of Clinical Investigation. 91(3). 845–852. 103 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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