Ming Yu

1.2k total citations
39 papers, 964 citations indexed

About

Ming Yu is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ming Yu has authored 39 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 11 papers in Epidemiology and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ming Yu's work include Cerebrovascular and Carotid Artery Diseases (8 papers), Atherosclerosis and Cardiovascular Diseases (8 papers) and Eicosanoids and Hypertension Pharmacology (6 papers). Ming Yu is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (8 papers), Atherosclerosis and Cardiovascular Diseases (8 papers) and Eicosanoids and Hypertension Pharmacology (6 papers). Ming Yu collaborates with scholars based in China, United States and Canada. Ming Yu's co-authors include Brian E. Henderson, Malcolm C. Pike, Anna H. Wu, Richard J. Roman, D C Thomas, Laurence N. Kolonel, David R. Harder, Sue A. Ingles, R K Ross and Gerhard A. Coetzee and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Stroke and Journal of Applied Physiology.

In The Last Decade

Ming Yu

34 papers receiving 923 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Yu China 12 221 196 188 162 148 39 964
E. Delvin Canada 20 216 1.0× 237 1.2× 157 0.8× 49 0.3× 81 0.5× 43 1.1k
Gloria Rashid Israel 16 310 1.4× 99 0.5× 156 0.8× 39 0.2× 63 0.4× 39 1.0k
Zongpei Jiang China 17 153 0.7× 74 0.4× 119 0.6× 46 0.3× 62 0.4× 62 1.3k
Yasushi Imamura Japan 19 120 0.5× 88 0.4× 225 1.2× 111 0.7× 63 0.4× 51 1.3k
Maria Ida Amabile Italy 19 126 0.6× 264 1.3× 278 1.5× 34 0.2× 57 0.4× 74 1.2k
Maria Teresa Gandolfo Italy 19 130 0.6× 68 0.3× 244 1.3× 36 0.2× 75 0.5× 39 1.6k
Anna Zdzienicka Poland 16 84 0.4× 59 0.3× 184 1.0× 45 0.3× 62 0.4× 39 980
P. Clifton‐Bligh Australia 21 258 1.2× 227 1.2× 81 0.4× 30 0.2× 160 1.1× 54 1.1k
Masao Takagi Japan 16 57 0.3× 122 0.6× 165 0.9× 70 0.4× 51 0.3× 47 1.0k
Antigoni Miliou Greece 21 72 0.3× 79 0.4× 158 0.8× 68 0.4× 151 1.0× 70 1.6k

Countries citing papers authored by Ming Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Yu. A scholar is included among the top collaborators of Ming Yu 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 Ming Yu. Ming Yu 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.
Yu, Ming, et al.. (2025). Unveiling the impact of non-coding RNAs on virus-induced cellular autophagy: roles and research advances. Frontiers in Microbiology. 16. 1632425–1632425.
2.
Chen, Hong, et al.. (2024). Inflammation and endothelial function relevant genetic polymorphisms, carotid atherosclerosis, and vascular events in high-risk stroke population. Frontiers in Neurology. 15. 1405183–1405183. 2 indexed citations
3.
Yi, Xingyang, et al.. (2024). The incidence of stroke and contribution of risk factors for stroke in high-risk stroke population in southwestern China. Clinical Neurology and Neurosurgery. 243. 108391–108391.
4.
Yu, Ming, et al.. (2023). Variants in genes related to inflammation and endothelial function can increase the risk for carotid atherosclerosis in southwestern China. Frontiers in Neurology. 14. 1174425–1174425. 6 indexed citations
5.
6.
Yu, Ming, et al.. (2023). Elevated serum uric acid is associated with cognitive impairment in acute minor ischemic stroke patients. Heliyon. 9(10). e21072–e21072. 4 indexed citations
7.
Liu, Lin, Xingyang Yi, Hua Luo, & Ming Yu. (2023). Inflammation and endothelial function relevant genetic polymorphisms in carotid stenosis in southwestern China. Frontiers in Neurology. 13. 1076898–1076898. 5 indexed citations
8.
Yi, Xingyang, Hong Chen, Ming Yu, et al.. (2022). Persistence of drug therapy is associated with ischemic stroke and other vascular events in high-risk stroke population. Frontiers in Neurology. 13. 925061–925061. 2 indexed citations
9.
Yi, Xingyang, Hong Chen, Yanfen Wang, et al.. (2022). Prevalence and Risk Factors of High-Risk Population for Stroke: A Population-Based Cross-Sectional Survey in Southwestern China. Frontiers in Neurology. 13. 693894–693894. 11 indexed citations
10.
Li, Xiaofei, et al.. (2021). Hepatotoxicity of cantharidin is associated with the altered bile acid metabolism. Journal of Applied Toxicology. 42(6). 970–980. 3 indexed citations
11.
Yi, Xingyang, Hua Luo, Ju Zhou, et al.. (2020). Prevalence of stroke and stroke related risk factors: a population based cross sectional survey in southwestern China. BMC Neurology. 20(1). 5–5. 51 indexed citations
12.
Yu, Ming, et al.. (2020). <p>Change in Functional Brain Activation Patterns Induced by Olfactory Stimulation in Multiple Sclerosis</p>. Neuropsychiatric Disease and Treatment. Volume 16. 1451–1458. 6 indexed citations
13.
Sun, Xiaowei, Ying Meng, Tao You, et al.. (2012). Association of growth/differentiation factor 1 gene polymorphisms with the risk of congenital heart disease in the Chinese Han population. Molecular Biology Reports. 40(2). 1291–1299. 9 indexed citations
14.
Inoue, Manami, et al.. (2008). Green tea intake, MTHFR/TYMS genotype and breast cancer risk: the Singapore Chinese Health Study. Carcinogenesis. 29(10). 1967–1972. 74 indexed citations
15.
Yu, Ming, et al.. (2007). Effects of 20-HETE on Na+transport and Na+-K+-ATPase activity in the thick ascending loop of Henle. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 292(6). R2400–R2405. 36 indexed citations
16.
Xu, Rifu, Delin Mo, Bing Fan, et al.. (2005). Investigation of PCR-RFLPs within Major Histocompatibility Complex B-G Genes Using Two Restriction Enzymes in Eight Breeds of Chinese Indigenous Chickens. Asian-Australasian Journal of Animal Sciences. 18(7). 942–948.
17.
Yu, Ming, Magdalena Alonso‐Galicia, Chengwen Sun, et al.. (2003). 20-Hydroxyeicosatetraenoic acid (20-HETE): structural determinants for renal vasoconstriction. Bioorganic & Medicinal Chemistry. 11(13). 2803–2821. 26 indexed citations
18.
Yu, Ming, Venkat Gopalakrishnan, Thomas W. Wilson, & J. Robert McNeill. (2001). Endothelin antagonist reduces hemodynamic responses to vasopressin in DOCA-salt hypertension. American Journal of Physiology-Heart and Circulatory Physiology. 281(6). H2511–H2517. 10 indexed citations
19.
Yu, Ming, Venkat Gopalakrishnan, & J. Robert McNeill. (1998). Hemodynamic Effects of a Selective Endothelin-A Receptor Antagonist in Deoxycorticosterone Acetate-Salt Hypertensive Rats. Journal of Cardiovascular Pharmacology. 31. S262–S264. 8 indexed citations
20.
Ingles, Sue A., Robert W. Haile, Brian E. Henderson, et al.. (1997). Strength of linkage disequilibrium between two vitamin D receptor markers in five ethnic groups: implications for association studies.. PubMed. 6(2). 93–8. 169 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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