Ming Yan

1.3k total citations
35 papers, 403 citations indexed

About

Ming Yan is a scholar working on Molecular Biology, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Ming Yan has authored 35 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Physiology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Ming Yan's work include Liver physiology and pathology (5 papers), Biochemical effects in animals (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Ming Yan is often cited by papers focused on Liver physiology and pathology (5 papers), Biochemical effects in animals (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Ming Yan collaborates with scholars based in China, Australia and United States. Ming Yan's co-authors include Chen Chen, Lei Peng, Zheng Luo, Dongling Liu, Evan R. Simpson, Xiaolan Guo, María Isabel Hernández, Margaret E. E. Jones, Jianjian Zhao and Yan Yang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Ming Yan

33 papers receiving 397 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 Yan China 14 95 91 77 72 61 35 403
Naomi Gonzales United States 9 171 1.8× 97 1.1× 35 0.5× 59 0.8× 23 0.4× 10 605
Yuichi Shinoda Japan 10 117 1.2× 31 0.3× 44 0.6× 92 1.3× 25 0.4× 13 367
Lixian Chen United States 13 131 1.4× 225 2.5× 56 0.7× 87 1.2× 134 2.2× 27 566
Jeh-En Tzeng Taiwan 10 56 0.6× 38 0.4× 38 0.5× 63 0.9× 12 0.2× 16 518
Renyang Tong China 8 148 1.6× 78 0.9× 20 0.3× 80 1.1× 16 0.3× 12 359
Masako Tsuchiya Japan 11 162 1.7× 246 2.7× 56 0.7× 33 0.5× 219 3.6× 13 512
Yanmei Yang China 11 130 1.4× 45 0.5× 74 1.0× 22 0.3× 9 0.1× 28 468
M. Großmann Germany 12 100 1.1× 19 0.2× 48 0.6× 16 0.2× 33 0.5× 25 423
Chrysovalantou E. Xirouchaki Australia 10 202 2.1× 65 0.7× 44 0.6× 54 0.8× 9 0.1× 14 423
Morten Dall Denmark 15 187 2.0× 167 1.8× 55 0.7× 48 0.7× 16 0.3× 19 525

Countries citing papers authored by Ming Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Yan. A scholar is included among the top collaborators of Ming Yan 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 Yan. Ming Yan 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.
Ren, Lei, Gang Liu, Yuanyuan Zhang, et al.. (2024). Intelligent generation method of infection risk map and management system in hospital waiting room for respiratory infectious diseases. Journal of Building Engineering. 96. 110571–110571. 5 indexed citations
2.
Yan, Wei, Ming Yan, Hui Wang, & Zilong Xu. (2023). Associations of serum alkaline phosphatase level with all-cause and cardiovascular mortality in the general population. Frontiers in Endocrinology. 14. 1217369–1217369. 4 indexed citations
3.
Jia, Xiaoqing, et al.. (2023). Increased TG to HDL-C ratio is associated with severity of drug-induced liver injury. Scientific Reports. 13(1). 6897–6897. 3 indexed citations
4.
Yan, Ming, et al.. (2021). Elevated Serum FGG Levels Prognosticate and Promote the Disease Progression in Prostate Cancer. Frontiers in Genetics. 12. 651647–651647. 22 indexed citations
5.
Li, Rong, et al.. (2018). RNA interference against stromal interacting molecule-1 (STIM1) ameliorates ethanol-induced hepatotoxicity. Chemico-Biological Interactions. 289. 47–56. 1 indexed citations
6.
Peng, Lei, et al.. (2017). Substance P promotes hepatic stellate cell proliferation and activation via the TGF-β1/Smad-3 signaling pathway. Toxicology and Applied Pharmacology. 329. 293–300. 10 indexed citations
7.
Zhao, Jianjian, et al.. (2016). Dimethyl α-ketoglutarate reduces CCl4-induced liver fibrosis through inhibition of autophagy in hepatic stellate cells. Biochemical and Biophysical Research Communications. 481(1-2). 90–96. 27 indexed citations
8.
Yan, Lihui, et al.. (2015). Blockade of store-operated calcium entry alleviates ethanol-induced hepatotoxicity via inhibiting apoptosis. Toxicology and Applied Pharmacology. 287(1). 52–66. 14 indexed citations
9.
Yang, Yan, Ming Yan, Yue Meng, et al.. (2015). Prevalence of Hepatitis B and Knowledge About Hepatitis B Among Migrant Workers in Shandong Province, China: A Cross-Sectional Study. Iranian Red Crescent Medical Journal. 17(4). e26725–e26725. 14 indexed citations
10.
Luo, Zheng, et al.. (2013). RNA Interference against Discoidin Domain Receptor 2 Ameliorates Alcoholic Liver Disease in Rats. PLoS ONE. 8(2). e55860–e55860. 23 indexed citations
11.
Hu, Jingzhou, Yue He, Ming Yan, et al.. (2013). Dose Dependent Activation of Retinoic Acid-Inducible Gene-I Promotes Both Proliferation and Apoptosis Signals in Human Head and Neck Squamous Cell Carcinoma. PLoS ONE. 8(3). e58273–e58273. 28 indexed citations
12.
Yang, Yan, Ming Yan, Hai‐Tao Zhang, & Xuping Wang. (2013). Substance P participates in immune-mediated hepatic injury induced by concanavalin A in mice and stimulates cytokine synthesis in Kupffer cells. Experimental and Therapeutic Medicine. 6(2). 459–464. 15 indexed citations
13.
Liu, Huimin, Xiaoqing Jia, Zheng Luo, et al.. (2011). Inhibition of store-operated Ca2+ channels prevent ethanol-induced intracellular Ca2+ increase and cell injury in a human hepatoma cell line. Toxicology Letters. 208(3). 254–261. 20 indexed citations
14.
Zhang, Xihong, et al.. (2010). Expression of Discoidin Domain Receptors (DDR2) in Alcoholic Liver Fibrosis in Rats. Archives of Medical Research. 41(8). 586–592. 18 indexed citations
15.
16.
Yan, Ming, Margaret E. E. Jones, María Isabel Hernández, et al.. (2003). Functional Modification of Pituitary Somatotropes in the Aromatase Knockout Mouse and the Effect of Estrogen Replacement. Endocrinology. 145(2). 604–612. 46 indexed citations
17.
Yan, Ming, et al.. (2002). Effects Of Molybdenum, Silicon And Nickel On α1‐Adrenoceptor‐Induced Constriction Of Rat Isolated Aorta. Clinical and Experimental Pharmacology and Physiology. 29(5-6). 395–398. 3 indexed citations
18.
Yan, Ming, et al.. (2001). Effects of Micromolar Concentrations of Manganese, Copper, and Zinc on α<sub>1</sub>-Adrenoceptor-Mediating Contraction in Rat Aorta. Biological Trace Element Research. 82(1-3). 159–166. 13 indexed citations
19.
Yan, Ming, et al.. (1998). Effects of micromolar concentrations of Mn, Mo, and Si on α1adrenoceptor-mediated contraction in porcine coronary artery. Biological Trace Element Research. 64(1-3). 75–87. 6 indexed citations
20.
Yan, Ming, Youyi Zhang, Xiao‐Jun Du, & Chide Han. (1998). FUNCTIONAL ASSESSMENT OF α1‐ADRENOCEPTOR SUBTYPES IN PORCINE CORONARY ARTERY. Clinical and Experimental Pharmacology and Physiology. 25(9). 682–685. 7 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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