Lingyue Ma

672 total citations
34 papers, 447 citations indexed

About

Lingyue Ma is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Lingyue Ma has authored 34 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 8 papers in Cardiology and Cardiovascular Medicine and 7 papers in Oncology. Recurrent topics in Lingyue Ma's work include Lipoproteins and Cardiovascular Health (6 papers), Venous Thromboembolism Diagnosis and Management (6 papers) and Pharmacogenetics and Drug Metabolism (5 papers). Lingyue Ma is often cited by papers focused on Lipoproteins and Cardiovascular Health (6 papers), Venous Thromboembolism Diagnosis and Management (6 papers) and Pharmacogenetics and Drug Metabolism (5 papers). Lingyue Ma collaborates with scholars based in China, Canada and United States. Lingyue Ma's co-authors include Yimin Cui, Qian Xiang, Qiufen Xie, Ying Zhou, Guangyan Mu, Xiaodan Zhang, Ting Yang, Min Lü, Kun Hu and Xia Zhao and has published in prestigious journals such as Journal of Thrombosis and Haemostasis, Frontiers in Pharmacology and British Journal of Clinical Pharmacology.

In The Last Decade

Lingyue Ma

32 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingyue Ma China 13 131 107 76 75 70 34 447
Ariola Koci Italy 10 41 0.3× 111 1.0× 60 0.8× 29 0.4× 51 0.7× 16 386
B. H. Ch. Stricker Netherlands 10 70 0.5× 194 1.8× 137 1.8× 99 1.3× 81 1.2× 16 551
Steven D. Salhanick United States 13 106 0.8× 173 1.6× 133 1.8× 18 0.2× 119 1.7× 23 694
Marianne Kristiansen Kringen Norway 18 82 0.6× 58 0.5× 230 3.0× 76 1.0× 149 2.1× 41 634
Chang‐Hsing Lee Taiwan 10 168 1.3× 122 1.1× 124 1.6× 46 0.6× 88 1.3× 16 778
Lucy Yang United States 15 91 0.7× 127 1.2× 43 0.6× 109 1.5× 75 1.1× 27 895
Michael J. Knauer Canada 12 126 1.0× 78 0.7× 92 1.2× 56 0.7× 94 1.3× 25 603
Sigrid Narum Norway 8 90 0.7× 57 0.5× 41 0.5× 32 0.4× 23 0.3× 19 370
Giuliana Martini Italy 11 86 0.7× 79 0.7× 19 0.3× 23 0.3× 60 0.9× 27 584
Sung Eun Sim South Korea 6 175 1.3× 133 1.2× 321 4.2× 87 1.2× 68 1.0× 19 657

Countries citing papers authored by Lingyue Ma

Since Specialization
Citations

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

Fields of papers citing papers by Lingyue Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingyue Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Lingyue Ma. A scholar is included among the top collaborators of Lingyue Ma 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 Lingyue Ma. Lingyue Ma 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.
Yang, Liu, et al.. (2024). Borneol-modified docetaxel plus tetrandrine micelles for treatment of drug-resistant brain glioma. Drug Development and Industrial Pharmacy. 50(2). 135–149. 5 indexed citations
3.
Zhou, Shuang, Xiaolin Zhang, Lili Lei, et al.. (2022). Drug-induced fall risk in older patients: A pharmacovigilance study of FDA adverse event reporting system database. Frontiers in Pharmacology. 13. 1044744–1044744. 22 indexed citations
5.
Ma, Lingyue, Qian Xiang, Nan Zhao, et al.. (2021). Effects of CYP2D6, CYP3A5, and ABCB1 gene polymorphisms on the pharmacokinetics of two risperidone long-acting injection microsphere formulations. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 109. 110241–110241. 3 indexed citations
6.
Ma, Lingyun, Ting Yang, Songtao Wu, et al.. (2020). Combined therapy of somatostatin analogues with pegvisomant for the treatment of acromegaly: a meta-analysis of prospective studies. BMC Endocrine Disorders. 20(1). 126–126. 11 indexed citations
8.
Xiang, Qian, Xiaodan Zhang, Guangyan Mu, et al.. (2020). Correlation between single-nucleotide polymorphisms and statin-induced myopathy: a mixed-effects model meta-analysis. European Journal of Clinical Pharmacology. 77(4). 569–581. 5 indexed citations
9.
Zhang, Hanxu, Zhiyan Liu, Guangyan Mu, et al.. (2020). Diagnostic performance of coagulation indices for direct oral anticoagulant concentration. Thrombosis Research. 195. 171–179. 8 indexed citations
10.
Zhang, Hanxu, Qian Xiang, Zhiyan Liu, et al.. (2020). Genotype‐guided antiplatelet treatment versus conventional therapy: A systematic review and meta‐analysis. British Journal of Clinical Pharmacology. 87(5). 2199–2215. 6 indexed citations
11.
Xiang, Qian, Nan Zhao, Chuan Li, et al.. (2019). The influence of genetic polymorphisms in drug metabolism enzymes and transporters on the pharmacokinetics of different fluvastatin formulations. Asian Journal of Pharmaceutical Sciences. 15(2). 264–272. 7 indexed citations
12.
Chang, Guodong, Qiufen Xie, Lingyue Ma, et al.. (2019). Accuracy of HAS‐BLED and other bleeding risk assessment tools in predicting major bleeding events in atrial fibrillation: A network meta‐analysis. Journal of Thrombosis and Haemostasis. 18(4). 791–801. 40 indexed citations
13.
Xiang, Qian, Zhe Wang, Zhiyan Liu, et al.. (2019). The predictive value of circulating microRNAs for venous thromboembolism diagnosis: A systematic review and diagnostic meta-analysis. Thrombosis Research. 181. 127–134. 18 indexed citations
15.
Zhou, Shuang, Qian Xiang, Guangyan Mu, et al.. (2019). Effects of CYP2C8 and SLCO1B1 Genetic Polymorphisms on Repaglinide Pharmacokinetics: A Systematic Review and Meta-Analysis. Current Drug Metabolism. 20(4). 266–274. 4 indexed citations
16.
Xiang, Qian, Shuqing Chen, Lingyue Ma, et al.. (2018). Association between SLCO1B1 T521C polymorphism and risk of statin-induced myopathy: a meta-analysis. The Pharmacogenomics Journal. 18(6). 721–729. 42 indexed citations
17.
Xiang, Qian, Xiaodan Zhang, Lingyue Ma, et al.. (2018). The association between the SLCO1B1, apolipoprotein E, and CYP2C9 genes and lipid response to fluvastatin. Pharmacogenetics and Genomics. 28(12). 261–267. 11 indexed citations
18.
Ma, Lingyue, Xiaodan Zhang, Qian Xiang, et al.. (2018). Association between dopamine receptor gene polymorphisms and effects of risperidone treatment: A systematic review and meta‐analysis. Basic & Clinical Pharmacology & Toxicology. 124(1). 94–104. 18 indexed citations
19.
Sheng, Xiaoyan, Lingyue Ma, Lixin Cai, et al.. (2016). Saliva and Plasma Monohydroxycarbamazepine Concentrations in Pediatric Patients With Epilepsy. Therapeutic Drug Monitoring. 38(3). 365–370. 14 indexed citations
20.
Yang, Ting, Min Lü, Lingyue Ma, Ying Zhou, & Yimin Cui. (2015). Efficacy and tolerability of canagliflozin as add-on to metformin in the treatment of type 2 diabetes mellitus: a meta-analysis. European Journal of Clinical Pharmacology. 71(11). 1325–1332. 26 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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