Ming Yang

4.1k total citations
123 papers, 2.8k citations indexed

About

Ming Yang is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Ming Yang has authored 123 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 22 papers in Epidemiology and 21 papers in Genetics. Recurrent topics in Ming Yang's work include Liver Disease Diagnosis and Treatment (22 papers), Genetic and phenotypic traits in livestock (17 papers) and Genetic Mapping and Diversity in Plants and Animals (15 papers). Ming Yang is often cited by papers focused on Liver Disease Diagnosis and Treatment (22 papers), Genetic and phenotypic traits in livestock (17 papers) and Genetic Mapping and Diversity in Plants and Animals (15 papers). Ming Yang collaborates with scholars based in China, United States and India. Ming Yang's co-authors include Chunye Zhang, Aaron C. Ericsson, Zhenfang Wu, Jie Yang, Kevin F. Staveley-O’Carroll, Guangfu Li, Eric T. Kimchi, Gengyuan Cai, Shuping Zhang and Enqin Zheng and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Ming Yang

117 papers receiving 2.8k 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 Yang China 32 1.2k 468 437 328 314 123 2.8k
Qinghua Yu China 32 2.0k 1.6× 473 1.0× 631 1.4× 294 0.9× 404 1.3× 160 3.9k
Hiroki Tanabe Japan 32 1.5k 1.3× 342 0.7× 263 0.6× 270 0.8× 72 0.2× 200 3.7k
Subhadeep Chakrabarti Canada 27 2.2k 1.8× 474 1.0× 422 1.0× 170 0.5× 223 0.7× 40 4.4k
Chen Tan China 29 1.3k 1.1× 168 0.4× 236 0.5× 279 0.9× 72 0.2× 161 3.1k
Douglas D. Bannerman United States 32 1.2k 0.9× 523 1.1× 479 1.1× 397 1.2× 151 0.5× 52 4.1k
Naoki Watanabe Japan 28 1.2k 1.0× 300 0.6× 473 1.1× 166 0.5× 81 0.3× 142 2.8k
Yutao Yan United States 30 1.3k 1.0× 562 1.2× 262 0.6× 513 1.6× 87 0.3× 65 2.8k
George Birchenough Sweden 20 2.3k 1.9× 593 1.3× 342 0.8× 106 0.3× 158 0.5× 33 3.9k
Ana Nieto Spain 34 1.6k 1.3× 658 1.4× 451 1.0× 266 0.8× 79 0.3× 83 3.8k
Lance W. Peterson United States 7 1.3k 1.0× 409 0.9× 262 0.6× 148 0.5× 114 0.4× 10 2.6k

Countries citing papers authored by Ming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Yang. A scholar is included among the top collaborators of Ming Yang 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 Yang. Ming Yang 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.
Yang, Ming, et al.. (2024). MTFR2 accelerates hepatocellular carcinoma mediated by metabolic reprogramming via the Akt signaling pathway. Cellular Signalling. 123. 111366–111366. 1 indexed citations
2.
Zhang, Chunye, et al.. (2024). The Roles of Myeloid-Derived Suppressor Cells in Liver Disease. Biomedicines. 12(2). 299–299. 4 indexed citations
3.
Yang, Ming, Xiaoqiang Qi, Nan Li, et al.. (2023). Western diet contributes to the pathogenesis of non-alcoholic steatohepatitis in male mice via remodeling gut microbiota and increasing production of 2-oleoylglycerol. Nature Communications. 14(1). 228–228. 66 indexed citations
5.
Zhang, Chunye, et al.. (2023). Anti-Viral Activity of Bioactive Molecules of Silymarin against COVID-19 via In Silico Studies. Pharmaceuticals. 16(10). 1479–1479. 6 indexed citations
6.
Zhou, Jing, Qiongling Wang, Ming Yang, et al.. (2023). A novel role of TGFBI in macrophage polarization and macrophage-induced pancreatic cancer growth and therapeutic resistance. Cancer Letters. 578. 216457–216457. 34 indexed citations
7.
Zhang, Chunye, et al.. (2023). Molecular mechanisms of metabolic disease-associated hepatic inflammation in non-alcoholic fatty liver disease and non-alcoholic steatohepatitis. SHILAP Revista de lepidopterología. 246–275. 2 indexed citations
8.
Zhang, Chunye, Shuai Liu, & Ming Yang. (2022). The Role of Interferon Regulatory Factors in Non-Alcoholic Fatty Liver Disease and Non-Alcoholic Steatohepatitis. Gastroenterology Insights. 13(2). 148–161. 11 indexed citations
9.
Yang, Ming, et al.. (2022). The Related Metabolic Diseases and Treatments of Obesity. Healthcare. 10(9). 1616–1616. 86 indexed citations
10.
Zhang, Chunye & Ming Yang. (2022). Antimicrobial Peptides: From Design to Clinical Application. Antibiotics. 11(3). 349–349. 87 indexed citations
11.
Zhang, Chunye & Ming Yang. (2022). Newly Emerged Antiviral Strategies for SARS-CoV-2: From Deciphering Viral Protein Structural Function to the Development of Vaccines, Antibodies, and Small Molecules. International Journal of Molecular Sciences. 23(11). 6083–6083. 9 indexed citations
12.
Yang, Ming, Olamide Tosin Olaoba, Chunye Zhang, et al.. (2022). Cancer Immunotherapy and Delivery System: An Update. Pharmaceutics. 14(8). 1630–1630. 26 indexed citations
13.
Zhang, Chunye & Ming Yang. (2021). Current Options and Future Directions for NAFLD and NASH Treatment. International Journal of Molecular Sciences. 22(14). 7571–7571. 70 indexed citations
14.
Zhang, Chunye & Ming Yang. (2021). Molecular targets regulating endoplasmic reticulum-mitochondria crosstalk for NAFLD treatment. SHILAP Revista de lepidopterología. 3 indexed citations
15.
Zhang, Chunye, et al.. (2021). Functions of two distinct Kupffer cells in the liver. SHILAP Revista de lepidopterología. 511–515. 4 indexed citations
16.
Qi, Xiaoqiang, Ming Yang, Lixin Ma, et al.. (2020). Synergizing sunitinib and radiofrequency ablation to treat hepatocellular cancer by triggering the antitumor immune response. Journal for ImmunoTherapy of Cancer. 8(2). e001038–e001038. 75 indexed citations
17.
Wang, Zhong, Hao Fu, Yunyan Zhou, et al.. (2020). Identification of the gut microbiota biomarkers associated with heat cycle and failure to enter oestrus in gilts. Microbial Biotechnology. 14(4). 1316–1330. 14 indexed citations
18.
Gao, Jie, et al.. (2020). Morphological and molecular identification and pathogenicity of Alternaria spp. associated with ginseng in Jilin province, China. Canadian Journal of Plant Pathology. 43(4). 537–550. 5 indexed citations
19.
Yang, Hui, Ming Yang, Shaoming Fang, et al.. (2018). Evaluating the profound effect of gut microbiome on host appetite in pigs. BMC Microbiology. 18(1). 215–215. 76 indexed citations
20.
Yang, Ming, et al.. (2010). Novel method for discerning the action of selection during evolution. Journal of Biomedical Science and Engineering. 3(2). 109–113. 1 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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