Mingya Liu

4.3k total citations
36 papers, 1.1k citations indexed

About

Mingya Liu is a scholar working on Infectious Diseases, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mingya Liu has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 7 papers in Molecular Biology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mingya Liu's work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Mingya Liu is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Mingya Liu collaborates with scholars based in China, United States and Hong Kong. Mingya Liu's co-authors include Ping Xin, Jianping Tao, Wei Meng, Jingbo Li, Yapeng Li, Andrew N. Redington, Jing Li, Wei Zhu, Jingbo Li and Junbo Ge and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mingya Liu

33 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingya Liu China 14 331 296 254 227 161 36 1.1k
Anna Solà Spain 25 455 1.4× 449 1.5× 337 1.3× 61 0.3× 68 0.4× 66 1.7k
Guosheng Lin China 18 275 0.8× 329 1.1× 102 0.4× 313 1.4× 173 1.1× 29 1.3k
Xinhua Yin China 22 401 1.2× 590 2.0× 256 1.0× 235 1.0× 152 0.9× 61 1.7k
Xing Wu China 21 134 0.4× 349 1.2× 75 0.3× 155 0.7× 51 0.3× 67 1.4k
Hiroaki Ushikoshi Japan 20 296 0.9× 446 1.5× 112 0.4× 85 0.4× 281 1.7× 68 1.2k
Sivakkanan Loganathan Germany 19 444 1.3× 234 0.8× 251 1.0× 60 0.3× 309 1.9× 68 1.1k
Qi Feng China 17 143 0.4× 296 1.0× 71 0.3× 124 0.5× 68 0.4× 74 909
Amaneh Mohammadi Roushandeh Iran 26 276 0.8× 918 3.1× 127 0.5× 412 1.8× 24 0.1× 102 2.0k
Il-Woo Shin South Korea 20 292 0.9× 358 1.2× 198 0.8× 13 0.1× 138 0.9× 62 1.4k

Countries citing papers authored by Mingya Liu

Since Specialization
Citations

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

Fields of papers citing papers by Mingya Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingya Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingya Liu. A scholar is included among the top collaborators of Mingya 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 Mingya Liu. Mingya 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.
Shan, Fei, Yu Xiong, Pearl Pai, & Mingya Liu. (2025). Systemic immune inflammation mediates the association of serum omega-3 and omega-6 polyunsaturated fatty acids with biological aging: a national population-based study. Aging Clinical and Experimental Research. 37(1). 74–74. 1 indexed citations
2.
Xu, Xin, Q W Ren, Chanchal Chandramouli, et al.. (2024). Glycated Hemoglobin Variability Is Associated With Adverse Outcomes in Patients With Heart Failure Irrespective of Diabetic Status. Journal of the American Heart Association. 13(9). e034109–e034109. 1 indexed citations
3.
Zhang, Yaqing, Qi Lv, Feifei Qi, et al.. (2023). Comparison of the replication and neutralization of different SARS‐CoV‐2 Omicron subvariants in vitro. SHILAP Revista de lepidopterología. 6(1). 51–56. 4 indexed citations
4.
5.
Jiang, Long, Jingyun Zhang, Mingya Liu, et al.. (2022). Highly efficient conversion of phenol to cyclohexanone on Pd-based catalysts by cobalt doping. Fuel. 332. 126060–126060. 12 indexed citations
6.
Chen, Cong, Shuhong Liu, Yang Hu, et al.. (2022). Cardioprotective Effect of Paeonol on Chronic Heart Failure Induced by Doxorubicin via Regulating the miR-21-5p/S-Phase Kinase-Associated Protein 2 Axis. Frontiers in Cardiovascular Medicine. 9. 695004–695004. 14 indexed citations
7.
Song, Zhiqi, Linlin Bao, Pin Yü, et al.. (2021). SARS-CoV-2 Causes a Systemically Multiple Organs Damages and Dissemination in Hamsters. Frontiers in Microbiology. 11. 618891–618891. 43 indexed citations
8.
Liu, Mingya. (2019). The semantics and pragmatics of chadian mei in Mandarin Chinese. Linguistische Berichte (LB). 2019(258). 94–123. 1 indexed citations
9.
Qi, Feifei, Mingya Liu, Fengdi Li, et al.. (2019). Interleukin-37 Ameliorates Influenza Pneumonia by Attenuating Macrophage Cytokine Production in a MAPK-Dependent Manner. Frontiers in Microbiology. 10. 2482–2482. 21 indexed citations
10.
Babu, Ramesh, Daniel L. Van Dyke, Prasad Koduru, et al.. (2017). Interphase Chromosome Profiling: A Method for Conventional Banded Chromosome Analysis Using Interphase Nuclei. Archives of Pathology & Laboratory Medicine. 142(2). 213–228. 2 indexed citations
11.
Shaver, Aaron C., et al.. (2016). Concurrent and Clonally Related Pediatric Follicular Lymphoma and Burkitt Lymphoma in a 5-Year-Old Boy. Laboratory Medicine. 47(1). 43–47.
12.
Li, Yongguang, et al.. (2014). GRIM-19-mediated Stat3 activation is a determinant for resveratrol-induced proliferation and cytotoxicity in cervical tumor-derived cell lines. Molecular Medicine Reports. 11(2). 1272–1277. 8 indexed citations
13.
Liu, Mingya. (2013). Assessment of Groundwater Contamination Caused by Agricultural Activities in Lower Liaohe River Plain. Jieshui guan'gai. 1 indexed citations
14.
Li, Yongguang, Wei Zhu, Jianping Tao, et al.. (2013). Resveratrol protects cardiomyocytes from oxidative stress through SIRT1 and mitochondrial biogenesis signaling pathways. Biochemical and Biophysical Research Communications. 438(2). 270–276. 85 indexed citations
15.
Li, Yongguang, Wei Zhu, Jingbo Li, Mingya Liu, & Wei Meng. (2013). Resveratrol suppresses the STAT3 signaling pathway and inhibits proliferation of high glucose-exposed HepG2 cells partly through SIRT1. Oncology Reports. 30(6). 2820–2828. 41 indexed citations
16.
17.
Liu, Mingya. (2010). Universal Quantification and NPI Licensing. Proceedings of Sinn und Bedeutung. 14. 273–288. 1 indexed citations
18.
Wu, Zonggui, et al.. (2004). Change of cardiac matrix metalloproteinases during the progression of left ventricalar remodeling in a rat mod el of acute myocardial infarction. 27(9). 670–673. 1 indexed citations
19.
Tang, Yaoliang, Qiang Zhao, Yuan Zhang, et al.. (2003). Autologous mesenchymal stem cell transplantation induce VEGF and neovascularization in ischemic myocardium. Regulatory Peptides. 117(1). 3–10. 304 indexed citations
20.
Liu, Mingya, et al.. (2000). Reversible Phosphorylation of the Signal Transduction Complex in Drosophila Photoreceptors. Journal of Biological Chemistry. 275(16). 12194–12199. 37 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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