Xiu‐Miao Li

3.0k total citations · 1 hit paper
57 papers, 2.3k citations indexed

About

Xiu‐Miao Li is a scholar working on Molecular Biology, Cancer Research and Ophthalmology. According to data from OpenAlex, Xiu‐Miao Li has authored 57 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 28 papers in Cancer Research and 14 papers in Ophthalmology. Recurrent topics in Xiu‐Miao Li's work include Cancer-related molecular mechanisms research (22 papers), Circular RNAs in diseases (18 papers) and MicroRNA in disease regulation (14 papers). Xiu‐Miao Li is often cited by papers focused on Cancer-related molecular mechanisms research (22 papers), Circular RNAs in diseases (18 papers) and MicroRNA in disease regulation (14 papers). Xiu‐Miao Li collaborates with scholars based in China, Canada and South Korea. Xiu‐Miao Li's co-authors include Qin Jiang, Biao Yan, Jin Yao, Zhi‐Fu Tao, K. Y. Shan, Yujie Li, Chaopeng Li, Jingyu Liu, Chang Liu and Mudi Yao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Circulation Research.

In The Last Decade

Xiu‐Miao Li

51 papers receiving 2.3k citations

Hit Papers

lncRNA-MIAT Regulates Microvascular Dysfunction by Functi... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiu‐Miao Li China 21 1.7k 1.5k 304 178 154 57 2.3k
Chun Yang Canada 21 964 0.6× 482 0.3× 259 0.9× 57 0.3× 180 1.2× 55 1.6k
Shu‐Ching Shih United States 18 943 0.6× 364 0.2× 98 0.3× 92 0.5× 295 1.9× 22 1.6k
Guo‐Rui Dou China 23 716 0.4× 256 0.2× 304 1.0× 46 0.3× 157 1.0× 50 1.3k
M. Aguennouz Italy 27 1.4k 0.8× 395 0.3× 54 0.2× 117 0.7× 151 1.0× 85 2.2k
Hosung Bae South Korea 17 670 0.4× 235 0.2× 94 0.3× 138 0.8× 138 0.9× 24 1.5k
Huaijin Guan China 23 1.1k 0.6× 315 0.2× 405 1.3× 21 0.1× 106 0.7× 107 1.5k
Daniel Pérez‐Cremades Spain 18 715 0.4× 433 0.3× 57 0.2× 112 0.6× 204 1.3× 38 1.2k
Xiaoqiang Li China 21 571 0.3× 427 0.3× 94 0.3× 61 0.3× 84 0.5× 42 982
Haibin Tian China 23 651 0.4× 156 0.1× 397 1.3× 32 0.2× 151 1.0× 79 1.4k

Countries citing papers authored by Xiu‐Miao Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiu‐Miao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiu‐Miao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiu‐Miao Li. A scholar is included among the top collaborators of Xiu‐Miao Li 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 Xiu‐Miao Li. Xiu‐Miao Li 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.
Zhang, Ziran, Lianjun Shi, Shuting Lu, et al.. (2025). Targeting glycolytic reprogramming by tsRNA-0032 for treating pathological lymphangiogenesis. Cell Death and Disease. 16(1). 51–51.
2.
Zhang, Huiying, et al.. (2025). Reprogramming lymphatic endothelial glucose metabolism for the treatment of lymphangiogenesis-related disease. Pharmacological Research. 218. 107827–107827.
3.
Bai, Yun, Xiaoyan Han, Lingjie Kong, et al.. (2024). Single-cell profiling transcriptomic reveals cellular heterogeneity and cellular crosstalk in choroidal neovascularization model. Experimental Eye Research. 242. 109877–109877. 2 indexed citations
4.
Yu, Yang, et al.. (2024). METTL14-mediated m6A methylation regulates pathological retinal neovascularization by targeting autophagy. Experimental Cell Research. 443(1). 114291–114291. 1 indexed citations
5.
Kong, Lingjie, Ming Tong, Xiu‐Miao Li, et al.. (2024). Targeting endothelial glycolytic reprogramming by tsRNA-1599 for ocular anti-angiogenesis therapy. Theranostics. 14(9). 3509–3525. 8 indexed citations
6.
Zhang, Qiuyang, et al.. (2024). Non-Coding RNAs: Novel Regulators of Macrophage Homeostasis in Ocular Vascular Diseases. Biomolecules. 14(3). 328–328.
7.
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
8.
Yu, Yang, et al.. (2024). Kavain Alleviates Choroidal Neovascularization Via Decreasing the Activity of the HIF-1α/VEGF-A/VEGFR2 Signaling Pathway and Inhibiting Inflammation. Advanced Pharmaceutical Bulletin. 14(2). 469–482. 1 indexed citations
9.
Ge, Huimin, et al.. (2024). The role of pericyte in ocular vascular diseases. Journal of Biomedical Research. 38(6). 521–521. 4 indexed citations
10.
Liu, Sha, Yuke Ji, Huan Li, et al.. (2023). EYE-503: A Novel Retinoic Acid Drug for Treating Retinal Neurodegeneration. Pharmaceuticals. 16(7). 1033–1033. 1 indexed citations
11.
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
12.
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
13.
Yang, Weihua, et al.. (2023). A Novel PAX6 Frameshift Mutation Identified in a Large Chinese Family with Congenital Aniridia. Journal of Personalized Medicine. 13(3). 442–442. 1 indexed citations
14.
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
15.
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
16.
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
17.
Wang, Jiajian, K. Y. Shan, Bai-Hui Liu, et al.. (2018). Targeting circular RNA-ZRANB1 for therapeutic intervention in retinal neurodegeneration. Cell Death and Disease. 9(5). 540–540. 48 indexed citations
18.
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
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.
Zhou, Rongmei, Yi Shen, Jin Yao, et al.. (2016). Nmnat 1: a Security Guard of Retinal Ganglion Cells (RGCs) in Response to High Glucose Stress. Cellular Physiology and Biochemistry. 38(6). 2207–2218. 15 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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