Mingyong Miao

1.2k total citations
35 papers, 977 citations indexed

About

Mingyong Miao is a scholar working on Molecular Biology, Hepatology and Cancer Research. According to data from OpenAlex, Mingyong Miao has authored 35 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Hepatology and 10 papers in Cancer Research. Recurrent topics in Mingyong Miao's work include Liver physiology and pathology (9 papers), MicroRNA in disease regulation (6 papers) and Organ Transplantation Techniques and Outcomes (5 papers). Mingyong Miao is often cited by papers focused on Liver physiology and pathology (9 papers), MicroRNA in disease regulation (6 papers) and Organ Transplantation Techniques and Outcomes (5 papers). Mingyong Miao collaborates with scholars based in China and United States. Mingyong Miao's co-authors include Binghua Jiao, Huan Chen, Shengsheng Yang, Shan Lu, Xuemin Wang, Jiankang Liu, Hongxiang Gao, Changsheng Liu, Jiangang Long and Hailong Fu and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Mingyong Miao

35 papers receiving 970 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingyong Miao China 18 579 355 151 133 112 35 977
Hang Yang China 17 479 0.8× 256 0.7× 105 0.7× 169 1.3× 139 1.2× 27 945
Andrés Méndez‐Lucas Spain 12 613 1.1× 272 0.8× 241 1.6× 245 1.8× 101 0.9× 15 1.0k
Young-Myeong Kim South Korea 11 469 0.8× 157 0.4× 231 1.5× 50 0.4× 89 0.8× 11 1.0k
Jing Lü China 21 471 0.8× 99 0.3× 147 1.0× 144 1.1× 174 1.6× 73 1.1k
Dan Qu China 17 515 0.9× 151 0.4× 148 1.0× 175 1.3× 189 1.7× 41 1.2k
Anna Baulies Spain 19 573 1.0× 127 0.4× 219 1.5× 363 2.7× 138 1.2× 26 1.3k
Amarylis Wanschel United States 20 600 1.0× 436 1.2× 145 1.0× 233 1.8× 246 2.2× 34 1.4k
Mengmeng Li China 14 504 0.9× 195 0.5× 101 0.7× 494 3.7× 93 0.8× 32 1.2k
Kelly A. Fader United States 17 364 0.6× 122 0.3× 163 1.1× 188 1.4× 49 0.4× 30 790
Raúl González Spain 18 476 0.8× 126 0.4× 149 1.0× 345 2.6× 227 2.0× 37 1.2k

Countries citing papers authored by Mingyong Miao

Since Specialization
Citations

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

Fields of papers citing papers by Mingyong Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyong Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyong Miao. A scholar is included among the top collaborators of Mingyong Miao 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 Mingyong Miao. Mingyong Miao 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, Yang, Mingyong Miao, & Jie Zhang. (2023). Application of medium-chain fatty acids in metabolic diseases. 8(3). 115–120. 1 indexed citations
2.
Guo, Wenwen, Xue Liang, Mingyong Miao, et al.. (2023). Muscle Fat Content Is Associated with Nonalcoholic Fatty Liver Disease and Liver Fibrosis in Chinese Adults. The journal of nutrition health & aging. 27(11). 960–965. 4 indexed citations
3.
Song, Mengmeng, Ye Li, Zhewen Chen, et al.. (2022). The Long Non-Coding RNA FAM222A-AS1 Negatively Modulates MiR-Let-7f to Promote Colorectal Cancer Progression. Frontiers in Oncology. 12. 764621–764621. 5 indexed citations
4.
Zhang, Jie, Zhewen Chen, Shuai Wang, et al.. (2020). Inhibitory Effect of a Microecological Preparation on Azoxymethane/Dextran Sodium Sulfate-Induced Inflammatory Colorectal Cancer in Mice. Frontiers in Oncology. 10. 562189–562189. 13 indexed citations
5.
Zhou, Jiansheng, et al.. (2019). Dual roles of glutathione S-transferase mu 1 in the development and metastasis of hepatocellular carcinoma. Biomedicine & Pharmacotherapy. 120. 109532–109532. 14 indexed citations
6.
Zhong, Hua, Hao Wu, He Bai, et al.. (2019). Panax notoginseng saponins promote liver regeneration through activation of the PI3K/AKT/mTOR cell proliferation pathway and upregulation of the AKT/Bad cell survival pathway in mice. BMC Complementary and Alternative Medicine. 19(1). 122–122. 29 indexed citations
7.
Zhang, Jie, Pingping Jia, Minghua Cong, et al.. (2018). Low ketolytic enzyme levels in tumors predict ketogenic diet responses in cancer cell lines in vitro and in vivo. Journal of Lipid Research. 59(4). 625–634. 63 indexed citations
8.
Lu, Shan, Jian-Sheng Zhou, Yimin Sun, et al.. (2017). The noncoding RNA HOXD-AS1 is a critical regulator of the metastasis and apoptosis phenotype in human hepatocellular carcinoma. Molecular Cancer. 16(1). 125–125. 75 indexed citations
9.
Yang, Min, Hengfeng Yuan, Mingyong Miao, & Weidong Xu. (2015). The osteogenic potential of ligament fibroblasts is greater in ankylosing spondylitis patients than in patients with osteoarthritis. Zeitschrift für Rheumatologie. 74(4). 340–345. 11 indexed citations
10.
Zhang, Zhenwei, et al.. (2014). Up-regulation of CNDP2 facilitates the proliferation of colon cancer. BMC Gastroenterology. 14(1). 96–96. 18 indexed citations
11.
Yu, Miao, et al.. (2014). KIN enhances stem cell-like properties to promote chemoresistance in colorectal carcinoma. Biochemical and Biophysical Research Communications. 448(1). 63–69. 5 indexed citations
12.
Fu, Hailong, Haitao Xu, Huan Chen, et al.. (2014). Inhibition of glycogen synthase kinase 3 ameliorates liver ischemia/reperfusion injury via an energy-dependent mitochondrial mechanism. Journal of Hepatology. 61(4). 816–824. 30 indexed citations
13.
14.
Yin, Lei, Huan Chen, Shengsheng Yang, et al.. (2012). miR‐376a suppresses proliferation and induces apoptosis in hepatocellular carcinoma. FEBS Letters. 586(16). 2396–2403. 66 indexed citations
15.
Zhao, Ying, Huan Chen, Zhuo Shang, et al.. (2012). SD118-Xanthocillin X (1), a Novel Marine Agent Extracted from Penicillium commune, Induces Autophagy through the Inhibition of the MEK/ERK Pathway. Marine Drugs. 10(6). 1345–1359. 31 indexed citations
16.
Chen, Huan, Lianghua Wang, Shengsheng Yang, et al.. (2012). Down-Regulation of MiR-127 Facilitates Hepatocyte Proliferation during Rat Liver Regeneration. PLoS ONE. 7(6). e39151–e39151. 59 indexed citations
17.
18.
Zheng, Xianyou, Jiang‐Rui Zhou, Mingyong Miao, et al.. (2009). Biphasic effects of dexamethasone on glycogen metabolism in primary cultured rat hepatocytes. Journal of Endocrinological Investigation. 32(9). 756–758. 7 indexed citations
19.
Miao, Mingyong, Xuan Jia, Wei Guo, et al.. (2008). Subproteomic analysis of the mitochondrial proteins in rats 24 h after partial hepatectomy. Journal of Cellular Biochemistry. 105(1). 176–184. 17 indexed citations
20.
Long, Jiangang, Xuemin Wang, Hongxiang Gao, et al.. (2006). Malonaldehyde acts as a mitochondrial toxin: Inhibitory effects on respiratory function and enzyme activities in isolated rat liver mitochondria. Life Sciences. 79(15). 1466–1472. 86 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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