Bi‐Lian Chen

606 total citations
21 papers, 471 citations indexed

About

Bi‐Lian Chen is a scholar working on Cardiology and Cardiovascular Medicine, Pharmacology and Surgery. According to data from OpenAlex, Bi‐Lian Chen has authored 21 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 7 papers in Pharmacology and 5 papers in Surgery. Recurrent topics in Bi‐Lian Chen's work include Antiplatelet Therapy and Cardiovascular Diseases (8 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). Bi‐Lian Chen is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (8 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). Bi‐Lian Chen collaborates with scholars based in China, Germany and Canada. Bi‐Lian Chen's co-authors include Hong‐Hao Zhou, Lan Fan, Gan Zhou, Wei Zhang, Yijing He, Yao Chen, Zhi‐Rong Tan, Vural Özdemir, Linyong Xu and Shan Cao and has published in prestigious journals such as PLoS ONE, Scientific Reports and Food Chemistry.

In The Last Decade

Bi‐Lian Chen

19 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bi‐Lian Chen China 12 144 130 112 90 88 21 471
Chang‐Woo Yeo South Korea 14 245 1.7× 55 0.4× 200 1.8× 76 0.8× 83 0.9× 23 536
Richard Fux Germany 10 137 1.0× 50 0.4× 62 0.6× 196 2.2× 84 1.0× 16 540
Jianghua Tu China 13 243 1.7× 34 0.3× 197 1.8× 167 1.9× 54 0.6× 17 582
Andrea Soldner United States 9 200 1.4× 49 0.4× 219 2.0× 178 2.0× 78 0.9× 10 681
Chen‐Yu Wang Taiwan 13 104 0.7× 26 0.2× 86 0.8× 157 1.7× 72 0.8× 41 534
Bryan J. Brinda United States 9 145 1.0× 96 0.7× 43 0.4× 133 1.5× 137 1.6× 19 433
Jin Ah Jung South Korea 11 77 0.5× 58 0.4× 100 0.9× 85 0.9× 72 0.8× 49 409
Chang-Hong Jiang China 9 179 1.2× 42 0.3× 108 1.0× 122 1.4× 62 0.7× 14 478
Francis Heitz Switzerland 8 207 1.4× 47 0.4× 213 1.9× 200 2.2× 60 0.7× 8 855
Xuemin Jiang United States 10 285 2.0× 53 0.4× 207 1.8× 186 2.1× 106 1.2× 15 803

Countries citing papers authored by Bi‐Lian Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bi‐Lian Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bi‐Lian Chen. 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 Bi‐Lian Chen. The network helps show where Bi‐Lian Chen may publish in the future.

Co-authorship network of co-authors of Bi‐Lian Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Bi‐Lian Chen. A scholar is included among the top collaborators of Bi‐Lian Chen 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 Bi‐Lian Chen. Bi‐Lian Chen 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.
Zhao, Qingqing, Qian Gao, Ying Huang, et al.. (2024). Plasma Ionomic Profile and Interaction Patterns in Coronary Artery Disease Patients. Biological Trace Element Research. 203(2). 754–765. 1 indexed citations
3.
Yuan, Zhen, Yuanyuan Peng, Wei Dai, et al.. (2023). miR-6076 rs1463411 polymorphisms are associated with bleeding during clopidogrel treatment in patients with acute coronary syndrome. European journal of medical research. 28(1). 96–96.
4.
Chen, Bi‐Lian, et al.. (2023). Whole genome sequencing and analysis of Armillaria gallica Jzi34 symbiotic with Gastrodia elata. BMC Genomics. 24(1). 275–275. 7 indexed citations
5.
Chen, Bi‐Lian, et al.. (2022). Transcriptome analysis reveals the regulatory mode by which NAA promotes the growth of Armillaria gallica. PLoS ONE. 17(11). e0277701–e0277701. 3 indexed citations
6.
Nie, Jing, Cuiling Liu, Chunlin Li, et al.. (2022). Stable isotope and elemental profiles determine geographical origin of saffron from China and Iran. Food Chemistry. 405(Pt A). 134733–134733. 20 indexed citations
7.
Shen, Yue, Bi‐Lian Chen, Qinxiu Zhang, Yuzhong Zheng, & Qiang Fu. (2019). Traditional uses, secondary metabolites, and pharmacology of Celastrus species - a review:. Journal of Ethnopharmacology. 241. 111934–111934. 42 indexed citations
8.
9.
Luo, Jian‐Quan, Min Liu, Bi‐Lian Chen, et al.. (2017). Effect of carboxylesterase 1 S75N on clopidogrel therapy among acute coronary syndrome patients. Scientific Reports. 7(1). 7244–7244. 17 indexed citations
10.
Liu, Min, Bi‐Lian Chen, Shan Cao, et al.. (2017). Effects of four novel genetic polymorphisms on clopidogrel efficacy in Chinese acute coronary syndromes patients. Gene. 623. 63–71. 9 indexed citations
11.
Chen, Bi‐Lian, et al.. (2015). Clinical use of azelnidipine in the treatment of hypertension in Chinese patients. Therapeutics and Clinical Risk Management. 11. 309–309. 21 indexed citations
12.
Zhou, Ji‐Peng, Yongping Bai, Xiaolei Hu, et al.. (2014). Association of the AGXT2 V140I Polymorphism with Risk for Coronary Heart Disease in a Chinese Population. Journal of Atherosclerosis and Thrombosis. 21(10). 1022–1030. 11 indexed citations
13.
Chen, Bi‐Lian, et al.. (2014). Non‐antiplatelet effect of clopidogrel: improving endothelial function inChinese healthy subjects with differentCYP2C19genotype. Clinical and Experimental Pharmacology and Physiology. 42(1). 22–26. 9 indexed citations
14.
Chen, Yao, Yijing He, Bi‐Lian Chen, et al.. (2010). Genistein alters caffeine exposure in healthy female volunteers. European Journal of Clinical Pharmacology. 67(4). 347–353. 21 indexed citations
15.
Chen, Yao, Wenhui Liu, Bi‐Lian Chen, et al.. (2010). Plant Polyphenol Curcumin Significantly Affects CYPIA2 and CYP2A6 Activity in Healthy, Male Chinese Volunteers. Annals of Pharmacotherapy. 44(6). 1038–1045. 49 indexed citations
16.
Chen, Bi‐Lian, Yao Chen, Jianghua Tu, et al.. (2009). Clopidogrel Inhibits CYP2C19‐Dependent Hydroxylation of Omeprazole Related to CYP2C19 Genetic Polymorphisms. The Journal of Clinical Pharmacology. 49(5). 574–581. 33 indexed citations
17.
He, Yijing, Wei Zhang, Yao Chen, et al.. (2009). Rifampicin alters atorvastatin plasma concentration on the basis of SLCO1B1 521T>C polymorphism. Clinica Chimica Acta. 405(1-2). 49–52. 70 indexed citations
18.
Mao, Yan‐Mei, Zhaoqian Liu, Bi‐Lian Chen, et al.. (2009). Effect of 393T>C Polymorphism of GNAS1 Gene on Dobutamine Response in Chinese Healthy Subjects. The Journal of Clinical Pharmacology. 49(8). 929–936. 7 indexed citations
19.
Chen, Bi‐Lian, Wei Zhang, Qing Li, et al.. (2008). INHIBITION OF ADP‐INDUCED PLATELET AGGREGATION BY CLOPIDOGREL IS RELATED TOCYP2C19GENETIC POLYMORPHISMS. Clinical and Experimental Pharmacology and Physiology. 35(8). 904–908. 22 indexed citations
20.
Zhang, Wei, Bi‐Lian Chen, Vural Özdemir, et al.. (2007). SLCO1B1 521T→C functional genetic polymorphism and lipid‐lowering efficacy of multiple‐dose pravastatin in Chinese coronary heart disease patients. British Journal of Clinical Pharmacology. 64(3). 346–352. 58 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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