Mi Yang

2.7k total citations
30 papers, 1.3k citations indexed

About

Mi Yang is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Mi Yang has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Cancer Research and 6 papers in Physiology. Recurrent topics in Mi Yang's work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (4 papers) and Extracellular vesicles in disease (4 papers). Mi Yang is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (4 papers) and Extracellular vesicles in disease (4 papers). Mi Yang collaborates with scholars based in China, United States and Hong Kong. Mi Yang's co-authors include Xiang‐Hang Luo, Changjun Li, Ye Xiao, Tian Su, Qi Guo, Jing Hou, Chen He, Hui Peng, Xi Sun and Mei Huang and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Mi Yang

30 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mi Yang China 15 743 298 235 181 155 30 1.3k
Anyonya R. Guntur United States 22 953 1.3× 293 1.0× 342 1.5× 221 1.2× 77 0.5× 36 1.6k
Anling Liu China 20 1.1k 1.5× 268 0.9× 150 0.6× 134 0.7× 214 1.4× 36 1.7k
Ye Xiao China 21 1.2k 1.7× 625 2.1× 222 0.9× 157 0.9× 168 1.1× 53 1.8k
Takashi Iezaki Japan 18 728 1.0× 221 0.7× 274 1.2× 114 0.6× 64 0.4× 38 1.2k
Dionisios Chrysis Greece 23 748 1.0× 143 0.5× 154 0.7× 92 0.5× 102 0.7× 65 1.8k
Shoichiro Kokabu Japan 21 975 1.3× 170 0.6× 144 0.6× 110 0.6× 80 0.5× 104 1.6k
Christine Hachfeld United States 4 596 0.8× 162 0.5× 482 2.1× 139 0.8× 192 1.2× 7 1.1k
Weiwen Zhu China 18 526 0.7× 294 1.0× 74 0.3× 163 0.9× 145 0.9× 49 1.0k
Hyunsoo Kim South Korea 23 1.0k 1.4× 226 0.8× 95 0.4× 216 1.2× 194 1.3× 56 1.7k
Xuechun Xia United States 14 699 0.9× 87 0.3× 201 0.9× 179 1.0× 106 0.7× 22 1.1k

Countries citing papers authored by Mi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Mi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Mi Yang. A scholar is included among the top collaborators of Mi 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 Mi Yang. Mi 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.
Liu, Simeng, Xiangdong Sun, Huang Huang, et al.. (2024). Clostridium butyricum regulates intestinal barrier function via trek1 to improve behavioral abnormalities in mice with autism spectrum disorder. Cell & Bioscience. 14(1). 95–95. 5 indexed citations
2.
Hou, Jing, Kaixuan Chen, Chen He, et al.. (2024). Aged bone marrow macrophages drive systemic aging and age-related dysfunction via extracellular vesicle-mediated induction of paracrine senescence. Nature Aging. 4(11). 1562–1581. 35 indexed citations
3.
He, Chen, Hu Chen, Wenzhen He, et al.. (2024). Macrophage-derived extracellular vesicles regulate skeletal stem/progenitor Cell lineage fate and bone deterioration in obesity. Bioactive Materials. 36. 508–523. 10 indexed citations
4.
Liu, Fen, Bofeng Zhu, Zhifei Zhou, et al.. (2024). Gingipain from Porphyromonas gingivalis causes insulin resistance by degrading insulin receptors through direct proteolytic effects. International Journal of Oral Science. 16(1). 53–53. 11 indexed citations
5.
Xiao, Ye, Feng Xu, Yujue Li, et al.. (2023). Splicing factor YBX1 regulates bone marrow stromal cell fate during aging. The EMBO Journal. 42(9). e111762–e111762. 47 indexed citations
6.
Guo, Qi, Yalin Liu, Dandan Yan, et al.. (2022). Mutated lncRNA increase the risk of type 2 diabetes by promoting β cell dysfunction and insulin resistance. Cell Death and Disease. 13(10). 904–904. 10 indexed citations
7.
8.
Peng, Hui, Biao Hu, Tian Su, et al.. (2022). A mechanosensitive lipolytic factor in the bone marrow promotes osteogenesis and lymphopoiesis. Cell Metabolism. 34(8). 1168–1182.e6. 62 indexed citations
9.
Li, Changjun, Ye Xiao, Yuchen Sun, et al.. (2021). Senescent immune cells release grancalcin to promote skeletal aging. Cell Metabolism. 33(10). 1957–1973.e6. 112 indexed citations
10.
Yang, Mi, Changjun Li, Ye Xiao, et al.. (2020). Ophiopogonin D promotes bone regeneration by stimulating CD31hiEMCNhi vessel formation. Cell Proliferation. 53(3). e12784–e12784. 34 indexed citations
11.
Yang, Mi, Ye Xiao, Qi Guo, et al.. (2020). Reducing Hypothalamic Stem Cell Senescence Protects against Aging-Associated Physiological Decline. Cell Metabolism. 31(3). 534–548.e5. 91 indexed citations
12.
Hou, Jing, Chen He, Wenzhen He, et al.. (2020). Obesity and Bone Health: A Complex Link. Frontiers in Cell and Developmental Biology. 8. 600181–600181. 91 indexed citations
13.
Chen, Kaixuan, Yurui Jiao, Ling Liu, et al.. (2020). Communications Between Bone Marrow Macrophages and Bone Cells in Bone Remodeling. Frontiers in Cell and Developmental Biology. 8. 598263–598263. 87 indexed citations
14.
Yang, Mi, Qi Guo, Hui Peng, et al.. (2019). Krüppel-like factor 3 inhibition by mutated lncRNA Reg1cp results in human high bone mass syndrome. The Journal of Experimental Medicine. 216(8). 1944–1964. 51 indexed citations
15.
Peng, Hui, Mi Yang, Qi Guo, et al.. (2019). Dendrobium officinale polysaccharides regulate age‐related lineage commitment between osteogenic and adipogenic differentiation. Cell Proliferation. 52(4). e12624–e12624. 45 indexed citations
16.
Li, Changjun, Ye Xiao, Mi Yang, et al.. (2018). Long noncoding RNA Bmncr regulates mesenchymal stem cell fate during skeletal aging. Journal of Clinical Investigation. 128(12). 5251–5266. 171 indexed citations
17.
Yang, Mi, Changjun Li, Xi Sun, et al.. (2017). MiR-497∼195 cluster regulates angiogenesis during coupling with osteogenesis by maintaining endothelial Notch and HIF-1α activity. Nature Communications. 8(1). 16003–16003. 167 indexed citations
18.
Yang, Xinming, Qi Huang, Mi Yang, et al.. (2015). Pharyngoesophageal perforation 3 years after anterior cervical spine surgery: a rare case report and literature review. European Archives of Oto-Rhino-Laryngology. 272(8). 2077–2082. 10 indexed citations
19.
Wang, Shuang, Shisheng Li, Qinglai Tang, et al.. (2015). Overexpression of Tiam1 promotes the progression of laryngeal squamous cell carcinoma. Oncology Reports. 33(4). 1807–1814. 8 indexed citations
20.
Tang, Qinglai, et al.. (2014). Xenogeneic acellular dermal matrix in combination with pectoralis major myocutaneous flap reconstructs hypopharynx and cervical esophagus. European Archives of Oto-Rhino-Laryngology. 272(11). 3457–3461. 9 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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