K. Y. Shan

4.7k total citations · 1 hit paper
49 papers, 2.6k citations indexed

About

K. Y. Shan is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, K. Y. Shan has authored 49 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 28 papers in Cancer Research and 6 papers in Immunology. Recurrent topics in K. Y. Shan's work include Cancer-related molecular mechanisms research (22 papers), Circular RNAs in diseases (20 papers) and MicroRNA in disease regulation (15 papers). K. Y. Shan is often cited by papers focused on Cancer-related molecular mechanisms research (22 papers), Circular RNAs in diseases (20 papers) and MicroRNA in disease regulation (15 papers). K. Y. Shan collaborates with scholars based in China, United States and Hong Kong. K. Y. Shan's co-authors include Biao Yan, Qin Jiang, Jin Yao, Chen Zhao, Bai-Hui Liu, Chang Liu, Xiu‐Miao Li, Shujie Zhang, Jiajian Wang and Mudi Yao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

In The Last Decade

K. Y. Shan

44 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Circular Noncoding RNA HIPK3 Mediates Retinal Vascular Dysfunction in Diabetes Mellitus

2017 423 citations K. Y. Shan, Chang Liu et al. profile →

Peers

K. Y. Shan

OPHTH

SURGE

IMMUN

Dongsheng Yan China

Mugdha V. Joglekar Australia

Xiaojun Zhang China

Inas Helwa United States

Chunsik Lee China

Mitsuho Onimaru Japan

Mariana Viorica Mărginean Romania

Ioana Moldovan Romania

Christopher L. Murphy United Kingdom

Jin‐Hong Chang United States

Dongsheng Yan China

K. Y. Shan

953 ×0.5

654 ×0.4

244 ×0.9

OPHTH

117 ×0.7

SURGE

154 ×0.9

IMMUN

Citations per year, relative to K. Y. Shan K. Y. Shan (= 1×) peers Dongsheng Yan

Countries citing papers authored by K. Y. Shan

Since Specialization

Citations

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

Fields of papers citing papers by K. Y. Shan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Y. Shan. 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 K. Y. Shan. The network helps show where K. Y. Shan may publish in the future.

Co-authorship network of co-authors of K. Y. Shan

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

All Works

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20 of 20 papers shown

Su, Feng, Mengna Liu, K. Y. Shan, et al.. (2025). High‐throughput markerless pose estimation and home‐cage activity analysis of tree shrew using deep learning. Animal Models and Experimental Medicine. 8(5). 896–905.

Yang, Yujing, et al.. (2025). METTL3-m6A-mediated TGF-β signaling promotes Fuchs endothelial corneal dystrophy via regulating corneal endothelial-to-mesenchymal transition. Cell Death Discovery. 11(1). 104–104.

Yang, Hong, et al.. (2025). N-methyladenosine (m6A) modification regulates HSPA1A and HSPA1B expression in Müller cells under high glucose stress. Experimental Eye Research. 252. 110275–110275. 1 indexed citations

Gu, Ruiping, Xueling Zhang, Jun Xiang, et al.. (2024). Long noncoding RNA ZFAS1: A novel anti-apoptotic target in Fuchs endothelial corneal dystrophy. Experimental Eye Research. 241. 109832–109832. 3 indexed citations

Zhang, Xueling, et al.. (2024). Single-cell RNA sequencing reveals the complex cellular niche of pterygium. The Ocular Surface. 32. 91–103. 10 indexed citations

Le, Qihua, et al.. (2024). Evaluating the effectiveness of large language models in patient education for conjunctivitis. British Journal of Ophthalmology. 109(2). 185–191. 6 indexed citations

Zhang, Xueling, et al.. (2022). Construction and verification of a hypoxia-related nine-gene prognostic model in uveal melanoma based on integrated single-cell and bulk RNA sequencing analyses. Experimental Eye Research. 223. 109214–109214. 10 indexed citations

Zhou, Rongmei, K. Y. Shan, Shujie Zhang, et al.. (2022). Comparative Analysis of Differentially Expressed Circular RNAs in Polarized Macrophages. Frontiers in Genetics. 13. 823517–823517. 7 indexed citations

Shan, K. Y., Rongmei Zhou, Jiayu Gu, et al.. (2021). RNA-seq identifies long non-coding RNAs as potential therapeutic targets for human corneal endothelial dysfunction under oxidative stress. Experimental Eye Research. 213. 108820–108820. 5 indexed citations

10.

Li, Dan, Chang Liu, Yanan Sun, et al.. (2021). Targeting choroidal vascular dysfunction via inhibition of circRNA-FoxO1 for prevention and management of myopic pathology. Molecular Therapy. 29(7). 2268–2280. 14 indexed citations

11.

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

12.

Zhou, Rongmei, Lianjun Shi, K. Y. Shan, et al.. (2020). Circular RNA-ZBTB44 regulates the development of choroidal neovascularization. Theranostics. 10(7). 3293–3307. 32 indexed citations

13.

Sun, Jianguo, Qin Jiang, Xiao‐Pei Zhang, et al.. (2019). <p>Mesoporous silica nanoparticles as a delivery system for improving antiangiogenic therapy</p>. International Journal of Nanomedicine. Volume 14. 1489–1501. 75 indexed citations

14.

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

15.

Liu, Xin, Chang Liu, K. Y. Shan, et al.. (2018). Long Non-Coding RNA H19 Regulates Human Lens Epithelial Cells Function. Cellular Physiology and Biochemistry. 50(1). 246–260. 13 indexed citations

16.

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

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.

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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