Ban Liu

2.7k total citations · 1 hit paper
38 papers, 1.5k citations indexed

About

Ban Liu is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Ban Liu has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 13 papers in Surgery and 13 papers in Molecular Biology. Recurrent topics in Ban Liu's work include Cancer-related molecular mechanisms research (6 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers) and MicroRNA in disease regulation (5 papers). Ban Liu is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers) and MicroRNA in disease regulation (5 papers). Ban Liu collaborates with scholars based in China and Australia. Ban Liu's co-authors include Yangyang Zhang, Biao Yan, K. Y. Shan, Jiajian Wang, Chang Liu, Haitao Fu, Jin Yao, Qin Jiang, Mudi Yao and Wei Tian and has published in prestigious journals such as Circulation, PLoS ONE and Development.

In The Last Decade

Ban Liu

38 papers receiving 1.5k citations

Hit Papers

Circular Noncoding RNA HIPK3 Mediates Retinal Vascular Dy... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ban Liu China 15 1.1k 956 209 146 117 38 1.5k
Junkun Zhan China 22 866 0.8× 568 0.6× 132 0.6× 123 0.8× 69 0.6× 51 1.5k
Pauline de Zeeuw Belgium 6 620 0.6× 349 0.4× 136 0.7× 101 0.7× 22 0.2× 7 1.2k
Prasanth Puthanveetil Canada 20 782 0.7× 461 0.5× 382 1.8× 154 1.1× 29 0.2× 36 1.3k
Xianglai Xu China 19 838 0.8× 675 0.7× 72 0.3× 160 1.1× 18 0.2× 44 1.4k
Gengze Wu China 19 981 0.9× 833 0.9× 165 0.8× 94 0.6× 22 0.2× 36 1.4k
Zhu‐Qin Zhang China 16 692 0.6× 212 0.2× 163 0.8× 133 0.9× 437 3.7× 29 1.5k
Yung‐Song Wang Taiwan 14 468 0.4× 379 0.4× 50 0.2× 80 0.5× 17 0.1× 18 841
Sung Kwang Park South Korea 11 417 0.4× 99 0.1× 143 0.7× 117 0.8× 56 0.5× 22 861
Qing‐Ping Yao China 20 528 0.5× 258 0.3× 127 0.6× 110 0.8× 36 0.3× 46 899
Shan Huang China 18 499 0.4× 400 0.4× 67 0.3× 57 0.4× 13 0.1× 61 926

Countries citing papers authored by Ban Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ban Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ban Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ban Liu. A scholar is included among the top collaborators of Ban Liu 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 Ban Liu. Ban Liu 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.
Zhao, Cuimei, Jingjing Liu, Ge Wen, et al.. (2021). Identification of Regulatory circRNAs Involved in the Pathogenesis of Acute Myocardial Infarction. Frontiers in Genetics. 11. 626492–626492. 21 indexed citations
2.
Hu, Bo, et al.. (2021). Effects of peak time of myocardial injury biomarkers on mid-term outcomes of patients undergoing OPCABG. BMC Cardiovascular Disorders. 21(1). 208–208. 2 indexed citations
3.
Liu, Ban, Xiang Li, Cuimei Zhao, et al.. (2020). Proteomic Analysis of Atrial Appendages Revealed the Pathophysiological Changes of Atrial Fibrillation. Frontiers in Physiology. 11. 573433–573433. 12 indexed citations
4.
Shi, Xin, et al.. (2020). Genome-wide screening of functional long noncoding RNAs in the epicardial adipose tissues of atrial fibrillation. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(7). 165757–165757. 23 indexed citations
5.
Hu, Bo, Ge Wen, Zhi Li, et al.. (2020). Impact of Preoperative Occult Renal Dysfunction on Early and Late Outcomes After Off-Pump Coronary Artery Bypass. Heart Lung and Circulation. 30(2). 288–295. 3 indexed citations
6.
Liu, Ban, et al.. (2020). Predictive ability of EuroSCORE II integrating cardiactroponin T in patients undergoing OPCABG. BMC Cardiovascular Disorders. 20(1). 463–463. 8 indexed citations
7.
Li, Zhi, et al.. (2020). <p>Prognostic Values of Three Equations in Estimating Glomerular Filtration Rates of Patients Undergoing Off-Pump Coronary Artery Bypass Grafting</p>. Therapeutics and Clinical Risk Management. Volume 16. 451–459. 2 indexed citations
8.
Sun, Yanan, Ban Liu, Jiajian Wang, et al.. (2020). Identification of aberrantly expressed circular RNAs in hyperlipidemia-induced retinal vascular dysfunction in mice. Genomics. 113(1). 593–600. 3 indexed citations
9.
Zhao, Cuimei, et al.. (2020). PCSK9 Inhibition and Atherosclerosis: Current Therapeutic Option and Prospection. Methods in molecular biology. 2204. 133–143. 1 indexed citations
10.
Jiang, Shengyang, Changfa Guo, Wei Zhang, et al.. (2019). The Integrative Regulatory Network of circRNA, microRNA, and mRNA in Atrial Fibrillation. Frontiers in Genetics. 10. 526–526. 44 indexed citations
11.
Li, Zhi, Ban Liu, Ge Wen, et al.. (2018). Effect of simultaneous surgical treatment of severe coronary artery disease and lung cancer. Journal of International Medical Research. 47(2). 591–599. 13 indexed citations
12.
Li, Hailing, Siling Xu, Mohammed Quddus, et al.. (2017). Familial hypercholesterolemia in Chinese patients with premature ST-segment-elevation myocardial infarction: Prevalence, lipid management and 1-year follow-up. PLoS ONE. 12(10). e0186815–e0186815. 14 indexed citations
13.
Liu, Chang, Mudi Yao, Chaopeng Li, et al.. (2017). Silencing Of Circular RNA-ZNF609 Ameliorates Vascular Endothelial Dysfunction. Theranostics. 7(11). 2863–2877. 227 indexed citations
14.
Tian, Wei, et al.. (2016). Long noncoding RNA-MEG3 is involved in diabetes mellitus-related microvascular dysfunction. Biochemical and Biophysical Research Communications. 471(1). 135–141. 165 indexed citations
15.
Li, Chaopeng, et al.. (2016). Neuroprotective effect of lignans extracted from Eucommia ulmoides Oliv. on glaucoma-related neurodegeneration. Neurological Sciences. 37(5). 755–762. 19 indexed citations
16.
Liu, Ban, et al.. (2016). Lignans Extracted from Eucommia Ulmoides Oliv. Protects Against AGEs-Induced Retinal Endothelial Cell Injury. Cellular Physiology and Biochemistry. 39(5). 2044–2054. 26 indexed citations
17.
Zhang, Jianying, Ban Liu, Yimin Zhang, et al.. (2015). Changes of CD4+ CD25+ CD127low regulatory T cells in peripheral blood samples collected from the patients with cervical cancer and its clinical significance. Zhonghua weishengwuxue he mianyixue zazhi. 35(10). 753–758. 1 indexed citations
18.
Yan, Biao, et al.. (2013). microRNA regulation of skin pigmentation in fish. Journal of Cell Science. 126(Pt 15). 3401–8. 66 indexed citations
19.
Liu, Ban, Wenliang Che, Jinsong Xue, et al.. (2013). SIRT4 Prevents Hypoxia-Induced Apoptosis in H9c2 Cardiomyoblast Cells. Cellular Physiology and Biochemistry. 32(3). 655–662. 95 indexed citations
20.
Yang, Yi‐Qing, Yi Liu, Ying Kuang, et al.. (2007). Human KCNQ1 S140G mutation is associated with atrioventricular blocks. Heart Rhythm. 4(5). 611–618. 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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