Pengli Zhu

2.0k total citations · 1 hit paper
62 papers, 1.5k citations indexed

About

Pengli Zhu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Nephrology. According to data from OpenAlex, Pengli Zhu has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 17 papers in Cardiology and Cardiovascular Medicine and 10 papers in Nephrology. Recurrent topics in Pengli Zhu's work include Angiogenesis and VEGF in Cancer (5 papers), Hormonal Regulation and Hypertension (5 papers) and Apelin-related biomedical research (5 papers). Pengli Zhu is often cited by papers focused on Angiogenesis and VEGF in Cancer (5 papers), Hormonal Regulation and Hypertension (5 papers) and Apelin-related biomedical research (5 papers). Pengli Zhu collaborates with scholars based in China, Singapore and Poland. Pengli Zhu's co-authors include Cheng Huang, Lei Zhang, Tianlu Shi, Ling Jiang, Tingting Hu, D Mingying, Zhaolin Chen, Jun Li, Shujie Huang and Wei Pan and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Pengli Zhu

59 papers receiving 1.5k citations

Hit Papers

Mammalian drug efflux transporters of the ATP binding cas... 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengli Zhu China 15 684 378 213 165 137 62 1.5k
Yueh-Min Lin Taiwan 25 649 0.9× 290 0.8× 184 0.9× 144 0.9× 107 0.8× 62 1.4k
Dawei Wang China 23 715 1.0× 376 1.0× 218 1.0× 91 0.6× 145 1.1× 96 1.6k
Yangyang Hu China 20 869 1.3× 314 0.8× 216 1.0× 320 1.9× 163 1.2× 53 2.1k
Yuanyuan Zhang China 28 927 1.4× 342 0.9× 249 1.2× 203 1.2× 126 0.9× 102 2.4k
Yanjun Zheng China 23 803 1.2× 162 0.4× 266 1.2× 244 1.5× 88 0.6× 61 1.7k
Huan Gao China 26 1.0k 1.5× 318 0.8× 472 2.2× 310 1.9× 104 0.8× 90 2.1k
Jianchang Qian China 23 719 1.1× 190 0.5× 150 0.7× 119 0.7× 78 0.6× 62 1.5k
Lenka Koklesová Slovakia 29 970 1.4× 260 0.7× 440 2.1× 155 0.9× 91 0.7× 49 2.1k
Zeyao Tang China 21 681 1.0× 192 0.5× 209 1.0× 121 0.7× 92 0.7× 56 1.3k

Countries citing papers authored by Pengli Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Pengli Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengli Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Pengli Zhu. A scholar is included among the top collaborators of Pengli Zhu 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 Pengli Zhu. Pengli Zhu 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.
2.
Zhu, Pengli, et al.. (2024). Development and Validation of a Multifactorial Nomogram to Predict 48 Month Mortality in Decompensated Heart Failure. ESC Heart Failure. 11(6). 4071–4080. 1 indexed citations
3.
Wang, Deping, et al.. (2020). Apolipoprotein L1 is transcriptionally regulated by SP1, IRF1 and IRF2 in hepatoma cells. FEBS Letters. 594(19). 3108–3121. 6 indexed citations
4.
Chen, Cheng, et al.. (2020). Exploration of the effect of salvianolate on myocardial infarction in rats based on tandem mass tags. European Journal of Pharmacology. 889. 173610–173610. 6 indexed citations
5.
Shang, Xiuling, Jun Li, Rongguo Yu, et al.. (2019). Sepsis-related myocardial injury is associated with Mst1 upregulation, mitochondrial dysfunction and the Drp1/F-actin signaling pathway. Journal of Molecular Histology. 50(2). 91–103. 35 indexed citations
6.
Chen, Zhaolin, Cheng Huang, Taotao Ma, et al.. (2018). Reversal effect of quercetin on multidrug resistance via FZD7/β-catenin pathway in hepatocellular carcinoma cells. Phytomedicine. 43. 37–45. 90 indexed citations
7.
Li, Xiao‐Ming, Zhizhong Chen, Yan Chen, et al.. (2018). Diurnal rhythm of follicle-stimulating hormone is associated with nonalcoholic fatty liver disease in a Chinese elderly population. European Journal of Obstetrics & Gynecology and Reproductive Biology. 222. 166–170. 8 indexed citations
8.
Lin, Kaiyang, Yansong Guo, & Pengli Zhu. (2018). GW29-e0906 Association of Pre-Procedural D-dimer with Contrast-induced Acute Kidney Injury and Long-Term Mortality after Primary Percutaneous Coronary Intervention. Journal of the American College of Cardiology. 72(16). C126–C126. 1 indexed citations
9.
Zhang, Jiancheng, Honglin Wu, Qian Chen, et al.. (2018). Calcium-Mediated Oscillation in Membrane Potentials and Atrial-Triggered Activity in Atrial Cells of Casq2R33Q/R33Q Mutation Mice. Frontiers in Physiology. 9. 1447–1447. 11 indexed citations
10.
Yuan, Yin, Feng Huang, & Pengli Zhu. (2017). GW28-e1024 Associations between gene polymorphisms of the apelin–APJ system and the risk of hypertension. Journal of the American College of Cardiology. 70(16). C141–C142.
12.
Chen, Junming, et al.. (2016). GW27-e1067 Resveratrol Protects against TNF-α-Induced Injury in Human Umbilical Endothelial Cells through Promoting Sirtuin-1-Induced Repression of NF-KB and p38 MAPK. Journal of the American College of Cardiology. 68(16). C38–C38. 2 indexed citations
13.
Jiang, Ling, et al.. (2015). Effect of hesperidin on TGF-beta1/Smad signaling pathway in HSC.. PubMed. 40(13). 2639–43. 14 indexed citations
15.
Chen, Zhaolin, Tianlu Shi, Lei Zhang, et al.. (2015). Mammalian drug efflux transporters of the ATP binding cassette (ABC) family in multidrug resistance: A review of the past decade. Cancer Letters. 370(1). 153–164. 633 indexed citations breakdown →
16.
Zhu, Pengli, et al.. (2014). Apelin andAPLNsingle nucleotide polymorphisms and combined hypertension and central retinal artery stenosis in a Chinese population. Clinical and Experimental Hypertension. 37(4). 280–287. 8 indexed citations
17.
Huang, Feng, Pengli Zhu, Fan Lin, et al.. (2013). [Cardiovascular disease risk and vascular damage status in pre- and hypertension population in coastal areas of Fujian province].. PubMed. 41(10). 876–81. 4 indexed citations
18.
Zhu, Pengli, et al.. (2012). Effect of proton pump inhibitors on clopidogrel resistance and recurrence of cardiovascular events in patients undergone percutaneous coronary intervention. 28(7). 518–521. 1 indexed citations
19.
Chen, Gang, Xu Lin, Chen Feng, et al.. (2010). Construction of NF-κB-targeting RNAi adenovirus vector and the effect of NF-κB pathway on proliferation and apoptosis of vascular endothelial cells. Molecular Biology Reports. 38(5). 3089–3094. 7 indexed citations
20.
Xu, Jian, et al.. (2009). Synergism of simvastatin with losartan prevents angiotensin II-induced cardiomyocyte apoptosis <I>in vitro</I>. Journal of Pharmacy and Pharmacology. 61(4). 503–510. 10 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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