Zhiping Bian

1.6k total citations
33 papers, 1.4k citations indexed

About

Zhiping Bian is a scholar working on Molecular Biology, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Zhiping Bian has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Biomedical Engineering and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Zhiping Bian's work include Advanced biosensing and bioanalysis techniques (11 papers), Biosensors and Analytical Detection (8 papers) and Advanced Biosensing Techniques and Applications (7 papers). Zhiping Bian is often cited by papers focused on Advanced biosensing and bioanalysis techniques (11 papers), Biosensors and Analytical Detection (8 papers) and Advanced Biosensing Techniques and Applications (7 papers). Zhiping Bian collaborates with scholars based in China. Zhiping Bian's co-authors include Hua Cui, Di Yang, Di Yang, Chunrong Gu, Jun‐Jie Zhu, Wen Shen, Hengfang Wu, Jiangnan Shu, Mingquan Guo and Ning Gu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Chemical Communications.

In The Last Decade

Zhiping Bian

33 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhiping Bian China 21 894 569 286 261 182 33 1.4k
Rita Maalouf Lebanon 13 410 0.5× 269 0.5× 228 0.8× 87 0.3× 197 1.1× 21 1.1k
Bo Jiang China 27 769 0.9× 515 0.9× 187 0.7× 412 1.6× 38 0.2× 85 1.8k
Yajuan Yang China 25 521 0.6× 198 0.3× 568 2.0× 351 1.3× 30 0.2× 70 1.6k
Sisi Fan China 23 667 0.7× 348 0.6× 395 1.4× 347 1.3× 108 0.6× 61 1.3k
Yu Yan China 17 325 0.4× 282 0.5× 238 0.8× 165 0.6× 27 0.1× 30 1.4k
Xinghua Chen China 22 554 0.6× 142 0.2× 427 1.5× 482 1.8× 102 0.6× 79 1.4k
Chenchen Lü China 17 724 0.8× 282 0.5× 723 2.5× 242 0.9× 52 0.3× 48 2.0k
Jinping Song China 20 660 0.7× 247 0.4× 142 0.5× 344 1.3× 48 0.3× 47 1.2k
Abbas Salihi Iraq 21 874 1.0× 319 0.6× 150 0.5× 422 1.6× 30 0.2× 46 1.5k

Countries citing papers authored by Zhiping Bian

Since Specialization
Citations

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

Fields of papers citing papers by Zhiping Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiping Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiping Bian. A scholar is included among the top collaborators of Zhiping Bian 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 Zhiping Bian. Zhiping Bian 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.
Zhang, Qian, et al.. (2024). Machine learning in risk prediction of continuous renal replacement therapy after coronary artery bypass grafting surgery in patients. Clinical and Experimental Nephrology. 28(8). 811–821. 2 indexed citations
2.
Zhang, Qian, Wenjing Ma, Ran Hu, et al.. (2023). Low-dose atorvastatin protects skeletal muscle mitochondria in high-fat diet-fed mice with mitochondrial autophagy inhibition and fusion enhancement. European Journal of Pharmacology. 959. 176085–176085. 6 indexed citations
3.
Ma, Wenjing, Hengfang Wu, Zhiping Bian, et al.. (2023). High-fat diet causes mitochondrial damage and downregulation of mitofusin-2 and optic atrophy-1 in multiple organs. Journal of Clinical Biochemistry and Nutrition. 73(1). 61–76. 29 indexed citations
4.
5.
Wang, Jue, Mingquan Guo, Jiangnan Shu, et al.. (2022). Charge-Dependent Signal Changes for Label-Free Electrochemiluminescence Immunoassays. Analytical Chemistry. 94(47). 16436–16442. 14 indexed citations
6.
Liu, Nannan, et al.. (2021). Atorvastatin reverses high cholesterol‐induced cardiac remodelling and regulates mitochondrial quality‐control in a cholesterol‐independent manner: An experimental study. Clinical and Experimental Pharmacology and Physiology. 48(8). 1150–1161. 7 indexed citations
7.
Shu, Jiangnan, Mingquan Guo, Mohammad A. Haghighatbin, et al.. (2020). Potential-Resolved Differential Electrochemiluminescence Immunosensor for Cardiac Troponin I Based on MOF-5-Wrapped CdS Quantum Dot Nanoluminophores. Analytical Chemistry. 92(20). 14113–14121. 119 indexed citations
8.
Wu, Hengfang, et al.. (2017). Astragaloside IV Prevents Cardiac Remodeling in the Apolipoprotein E-Deficient Mice by Regulating Cardiac Homeostasis and Oxidative Stress. Cellular Physiology and Biochemistry. 44(6). 2422–2438. 29 indexed citations
9.
Gu, Chunrong, Hengfang Wu, Zhirui Guo, et al.. (2016). In Vitro Effects of Hollow Gold Nanoshells on Human Aortic Endothelial Cells. Nanoscale Research Letters. 11(1). 397–397. 9 indexed citations
11.
Li, Fang, Yuqi Yu, Hua Cui, Di Yang, & Zhiping Bian. (2013). Label-free electrochemiluminescence immunosensor for cardiac troponin I using luminol functionalized gold nanoparticles as a sensing platform. The Analyst. 138(6). 1844–1844. 81 indexed citations
12.
Feng, Lina, Zhiping Bian, Juan Peng, et al.. (2012). Ultrasensitive Multianalyte Electrochemical Immunoassay Based on Metal Ion Functionalized Titanium Phosphate Nanospheres. Analytical Chemistry. 84(18). 7810–7815. 124 indexed citations
13.
Guo, Zhirui, Xu Fan, Lina Xu, et al.. (2011). Shape separation of colloidal gold nanoparticles through salt-triggered selective precipitation. Chemical Communications. 47(14). 4180–4180. 34 indexed citations
14.
Shen, Wen, Dayong Tian, Hua Cui, Di Yang, & Zhiping Bian. (2011). Nanoparticle-based electrochemiluminescence immunosensor with enhanced sensitivity for cardiac troponin I using N-(aminobutyl)-N-(ethylisoluminol)-functionalized gold nanoparticles as labels. Biosensors and Bioelectronics. 27(1). 18–24. 110 indexed citations
15.
Wu, Wen‐Ya, et al.. (2010). PDMS gold nanoparticle composite film-based silver enhanced colorimetric detection of cardiac troponin I. Sensors and Actuators B Chemical. 147(1). 298–303. 92 indexed citations
16.
Guo, Zhirui, Xu Fan, Lianke Liu, et al.. (2010). Achieving high-purity colloidal gold nanoprisms and their application as biosensing platforms. Journal of Colloid and Interface Science. 348(1). 29–36. 36 indexed citations
18.
Zhang, Song, Xiangjian Chen, Chunrong Gu, et al.. (2008). The Effect of Iron Oxide Magnetic Nanoparticles on Smooth Muscle Cells. Nanoscale Research Letters. 4(1). 52 indexed citations
19.
He, Nongyue, Huishi Guo, Di Yang, et al.. (2005). Application of Nanogold Probe Coupled with Silver Enhancement in Rapid cTnI Colorimetric Immunoassay. Chinese Chemical Letters. 16(12). 1625–1628. 1 indexed citations
20.
Guo, Huishi, Di Yang, Chunrong Gu, et al.. (2005). Development of a Low Density Colorimetric Protein Array for Cardiac Troponin I Detection. Journal of Nanoscience and Nanotechnology. 5(12). 2161–2166. 13 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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