Mu‐Di Yao

511 total citations
12 papers, 323 citations indexed

About

Mu‐Di Yao is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Mu‐Di Yao has authored 12 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Mu‐Di Yao's work include Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (4 papers) and MicroRNA in disease regulation (4 papers). Mu‐Di Yao is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (4 papers) and MicroRNA in disease regulation (4 papers). Mu‐Di Yao collaborates with scholars based in China and United States. Mu‐Di Yao's co-authors include Jin Yao, Biao Yan, Qiuyang Zhang, Yan Ma, Qin Jiang, Xiu‐Miao Li, Chang Liu, Huimin Ge, K. Y. Shan and Qin Jiang and has published in prestigious journals such as The FASEB Journal, Progress in Neurobiology and Journal of Dental Research.

In The Last Decade

Mu‐Di Yao

12 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mu‐Di Yao China 8 257 130 32 29 27 12 323
Renchun Wang China 7 226 0.9× 156 1.2× 25 0.8× 13 0.4× 12 0.4× 8 325
Qingjie Min China 9 212 0.8× 63 0.5× 31 1.0× 44 1.5× 25 0.9× 12 301
Kexin Lei China 8 248 1.0× 180 1.4× 17 0.5× 9 0.3× 13 0.5× 14 306
Sheng‐Yan Huang China 11 245 1.0× 123 0.9× 44 1.4× 5 0.2× 22 0.8× 21 339
Yangjun Zhang China 13 323 1.3× 108 0.8× 39 1.2× 6 0.2× 26 1.0× 27 427
Hao Lian China 10 219 0.9× 119 0.9× 35 1.1× 3 0.1× 18 0.7× 19 371
Xuejun Wang China 13 158 0.6× 97 0.7× 26 0.8× 9 0.3× 122 4.5× 42 395
Dorothee Hartmann Germany 9 321 1.2× 237 1.8× 47 1.5× 5 0.2× 45 1.7× 14 473

Countries citing papers authored by Mu‐Di Yao

Since Specialization
Citations

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

Fields of papers citing papers by Mu‐Di Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mu‐Di Yao. 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 Mu‐Di Yao. The network helps show where Mu‐Di Yao may publish in the future.

Co-authorship network of co-authors of Mu‐Di Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Mu‐Di Yao. A scholar is included among the top collaborators of Mu‐Di Yao 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 Mu‐Di Yao. Mu‐Di Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Zhang, Ying, Yan Ma, Yifei Jiang, et al.. (2025). Co-targeting of glial activation and inflammation by tsRNA-Gln-i-0095 for treating retinal ischemic pathologies. Cell Communication and Signaling. 23(1). 18–18. 1 indexed citations
2.
Zhang, Huiying, Xiu‐Miao Li, Yifei Jiang, et al.. (2024). Dual anti-angiogenic and anti-inflammatory action of tRNA-Cys-5-0007 in ocular vascular disease. Journal of Translational Medicine. 22(1). 562–562. 3 indexed citations
3.
Kumari, Priyanka, Yuan Lin, Mu‐Di Yao, et al.. (2023). A Variant in the IRF6 Promoter Associated with the Risk for Orofacial Clefting. Journal of Dental Research. 102(7). 806–813. 3 indexed citations
4.
Xia, Min, Jiao Lyu, Xiaohan Wang, et al.. (2023). Single-cell RNA sequencing reveals a unique pericyte type associated with capillary dysfunction. Theranostics. 13(8). 2515–2530. 38 indexed citations
5.
Wu, Jiali, Jieqiong Chen, Jing Hu, et al.. (2023). CircRNA Uxs1/miR-335-5p/PGF axis regulates choroidal neovascularization via the mTOR/p70 S6k pathway. Translational research. 256. 41–55. 7 indexed citations
6.
Yang, Xin, Mengia S. Rioult-Pedotti, Stephen Tang, et al.. (2023). A PSD-95 peptidomimetic mitigates neurological deficits in a mouse model of Angelman syndrome. Progress in Neurobiology. 230. 102513–102513. 12 indexed citations
7.
Yao, Mu‐Di, Qin Jiang, Yan Ma, et al.. (2022). Targeting circular RNA-MET for anti-angiogenesis treatment via inhibiting endothelial tip cell specialization. Molecular Therapy. 30(3). 1252–1264. 20 indexed citations
8.
Ma, Cong, et al.. (2022). Silencing of circular RNA‑ZYG11B exerts a neuroprotective effect against retinal neurodegeneration. International Journal of Molecular Medicine. 50(2). 5 indexed citations
9.
Liu, Chang, Qiuyang Zhang, Mu‐Di Yao, et al.. (2021). METTL3-mediated N6-methyladenosine modification governs pericyte dysfunction during diabetes-induced retinal vascular complication. Theranostics. 12(1). 277–289. 75 indexed citations
10.
Yao, Mu‐Di, Qin Jiang, Yan Ma, et al.. (2020). Role of METTL3-Dependent N6-Methyladenosine mRNA Modification in the Promotion of Angiogenesis. Molecular Therapy. 28(10). 2191–2202. 100 indexed citations
11.
Li, Xiu‐Miao, Huimin Ge, Jin Yao, et al.. (2018). Genome-Wide Identification of Circular RNAs as a Novel Class of Putative Biomarkers for an Ocular Surface Disease. Cellular Physiology and Biochemistry. 47(4). 1630–1642. 16 indexed citations
12.
Zhang, Xiaopei, Keran Li, Mu‐Di Yao, et al.. (2018). Ginsenoside Rh2 inhibits vascular endothelial growth factor‐induced corneal neovascularization. The FASEB Journal. 32(7). 3782–3791. 43 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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