Mudi Yao

1.8k total citations · 1 hit paper
38 papers, 1.4k citations indexed

About

Mudi Yao is a scholar working on Molecular Biology, Ophthalmology and Cancer Research. According to data from OpenAlex, Mudi Yao has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Ophthalmology and 11 papers in Cancer Research. Recurrent topics in Mudi Yao's work include Retinal Diseases and Treatments (10 papers), Cancer-related molecular mechanisms research (9 papers) and Textile materials and evaluations (8 papers). Mudi Yao is often cited by papers focused on Retinal Diseases and Treatments (10 papers), Cancer-related molecular mechanisms research (9 papers) and Textile materials and evaluations (8 papers). Mudi Yao collaborates with scholars based in China, Hong Kong and India. Mudi Yao's co-authors include Biao Yan, Qin Jiang, K. Y. Shan, Jin Yao, Xiu‐Miao Li, K.W. Yeung, X. Zhang, Yi Li, Chang Liu and Ban Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Scientific Reports.

In The Last Decade

Mudi Yao

36 papers receiving 1.4k citations

Hit Papers

YY1 lactylation in microglia promotes angiogenesis throug... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mudi Yao China 17 889 716 184 176 119 38 1.4k
Weiping Liu China 26 892 1.0× 377 0.5× 18 0.1× 21 0.1× 36 0.3× 119 2.2k
Jing Luo China 20 597 0.7× 77 0.1× 465 2.5× 7 0.0× 271 2.3× 108 1.7k
Zhuang Kang China 23 346 0.4× 90 0.1× 27 0.1× 21 0.1× 401 3.4× 119 1.7k
Tong Tong China 19 146 0.2× 78 0.1× 14 0.1× 117 0.7× 337 2.8× 45 1.2k
Ning Zhao China 20 440 0.5× 212 0.3× 8 0.0× 56 0.3× 35 0.3× 70 1.1k
Jiaji Pan China 17 738 0.8× 378 0.5× 32 0.2× 6 0.0× 25 0.2× 46 1.4k
Guangzhi Ning China 28 561 0.6× 182 0.3× 7 0.0× 44 0.3× 39 0.3× 84 2.2k
Manhong Li China 16 123 0.1× 67 0.1× 78 0.4× 24 0.1× 69 0.6× 70 718
Xiaosheng Ma China 21 721 0.8× 271 0.4× 12 0.1× 8 0.0× 43 0.4× 82 1.7k
Lei Song China 32 1.1k 1.3× 300 0.4× 5 0.0× 61 0.3× 189 1.6× 170 3.1k

Countries citing papers authored by Mudi Yao

Since Specialization
Citations

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

Fields of papers citing papers by Mudi Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mudi Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Mudi Yao. A scholar is included among the top collaborators of Mudi 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 Mudi Yao. Mudi Yao 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.
Yao, Mudi, et al.. (2025). Enhancing thermal response characteristics of ultra-low energy buildings with phase change material: A measured and numerical study. Energy and Buildings. 331. 115362–115362. 2 indexed citations
2.
Wang, Aili, et al.. (2025). Neural Architecture Search for Hyperspectral Image Classification: A Comprehensive Review and Future Perspectives. Remote Sensing. 17(15). 2727–2727. 1 indexed citations
4.
Han, Xiaoyan, Shuai Ben, Mudi Yao, et al.. (2024). Identification of the Metabolic Signature of Aging Retina. Translational Vision Science & Technology. 13(8). 8–8. 1 indexed citations
5.
Ma, Yan, et al.. (2024). Causal relationships between blood metabolites and diabetic retinopathy: a two-sample Mendelian randomization study. Frontiers in Endocrinology. 15. 1383035–1383035. 2 indexed citations
6.
Zhang, Qiuyang, Huiying Zhang, Mudi Yao, et al.. (2024). Macrophage metabolic reprogramming ameliorates diabetes-induced microvascular dysfunction. Redox Biology. 79. 103449–103449. 12 indexed citations
7.
Li, Jing, et al.. (2024). Segmentation of retinal microaneurysms in fluorescein fundus angiography images by a novel three-step model. Frontiers in Medicine. 11. 1372091–1372091. 3 indexed citations
8.
Zhu, Junya, Wen Yao, Mudi Yao, et al.. (2023). Hyperglycemia-regulated tRNA-derived fragment tRF-3001a propels neurovascular dysfunction in diabetic mice. Cell Reports Medicine. 4(10). 101209–101209. 15 indexed citations
9.
Jiang, Qin, Ya Zhao, Mudi Yao, et al.. (2022). tRNA-derived fragment tRF-1001: A novel anti-angiogenic factor in pathological ocular angiogenesis. Molecular Therapy — Nucleic Acids. 30. 407–420. 16 indexed citations
10.
Li, Xiu‐Miao, Junya Zhu, Chang Liu, et al.. (2022). Targeting long noncoding RNA-AQP4-AS1 for the treatment of retinal neurovascular dysfunction in diabetes mellitus. EBioMedicine. 77. 103857–103857. 33 indexed citations
11.
Zhang, Wenping, Mudi Yao, Yanan Sun, et al.. (2021). A Joint Model for Macular Edema Analysis in Optical Coherence Tomography Images Based on Image Enhancement and Segmentation. BioMed Research International. 2021(1). 6679556–6679556. 2 indexed citations
12.
Wang, Zhenhua, Mudi Yao, Yan Ma, et al.. (2021). Automated segmentation of macular edema for the diagnosis of ocular disease using deep learning method. Scientific Reports. 11(1). 13392–13392. 22 indexed citations
13.
Yao, Mudi, Yan Zhu, Qiuyang Zhang, et al.. (2021). CircRNA expression profile and functional analysis in retinal ischemia-reperfusion injury. Genomics. 113(3). 1482–1490. 5 indexed citations
14.
Yao, Mudi, et al.. (2021). Differential MicroRNA Expression Pattern in Endothelial Progenitor Cells During Diabetic Retinopathy. Frontiers in Cell and Developmental Biology. 9. 773050–773050. 6 indexed citations
15.
Jiang, Qin, Chang Liu, Chaopeng Li, et al.. (2020). Circular RNA-ZNF532 regulates diabetes-induced retinal pericyte degeneration and vascular dysfunction. Journal of Clinical Investigation. 130(7). 3833–3847. 135 indexed citations
16.
Wang, Zhenhua, Wenping Zhang, Yanan Sun, Mudi Yao, & Biao Yan. (2020). Detection of Diabetic Macular Edema in Optical Coherence Tomography Image Using an Improved Level Set Algorithm. BioMed Research International. 2020(1). 6974215–6974215. 12 indexed citations
17.
Zhang, Xiao‐Pei, Jianguo Sun, Jin Yao, et al.. (2018). Effect of nanoencapsulation using poly (lactide-co-glycolide) (PLGA) on anti-angiogenic activity of bevacizumab for ocular angiogenesis therapy. Biomedicine & Pharmacotherapy. 107. 1056–1063. 64 indexed citations
18.
Yao, Jin, Lili Hu, Xiu‐Miao Li, et al.. (2018). Comprehensive circular RNA profiling of proliferative vitreoretinopathy and its clinical significance. Biomedicine & Pharmacotherapy. 111. 548–554. 19 indexed citations
19.
Liu, Chang, Mudi Yao, Chaopeng Li, et al.. (2017). Silencing Of Circular RNA-ZNF609 Ameliorates Vascular Endothelial Dysfunction. Theranostics. 7(11). 2863–2877. 227 indexed citations
20.
Yao, Jin, Xiao Qun Wang, K. Y. Shan, et al.. (2016). Long non‐coding RNA MALAT 1 regulates retinal neurodegeneration through CREB signaling. EMBO Molecular Medicine. 8(4). 346–362. 102 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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