Biao Yan

21.3k total citations · 3 hit papers
97 papers, 17.9k citations indexed

About

Biao Yan is a scholar working on Molecular Biology, Cancer Research and Ophthalmology. According to data from OpenAlex, Biao Yan has authored 97 papers receiving a total of 17.9k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 46 papers in Cancer Research and 35 papers in Ophthalmology. Recurrent topics in Biao Yan's work include Cancer-related molecular mechanisms research (34 papers), Circular RNAs in diseases (29 papers) and Retinal Diseases and Treatments (27 papers). Biao Yan is often cited by papers focused on Cancer-related molecular mechanisms research (34 papers), Circular RNAs in diseases (29 papers) and Retinal Diseases and Treatments (27 papers). Biao Yan collaborates with scholars based in China, United States and Australia. Biao Yan's co-authors include Qin Jiang, Jin Yao, Yujie Li, Guo-Fan Cao, K. Y. Shan, Xiu‐Miao Li, Chen Zhao, Bai-Hui Liu, Chang Liu 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

Biao Yan

89 papers receiving 17.8k citations

Hit Papers

Repertoires of Autophagy in the Pathogenesis of Ocular Di... 2015 2026 2018 2022 2015 2015 2017 4.0k 8.0k 12.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Biao Yan China 28 10.6k 7.5k 4.2k 2.1k 1.7k 97 17.9k
Jin Yao China 39 10.8k 1.0× 7.6k 1.0× 3.6k 0.9× 2.2k 1.0× 1.7k 1.1× 90 18.5k
Yujie Li China 30 8.5k 0.8× 7.7k 1.0× 1.8k 0.4× 2.2k 1.0× 1.8k 1.1× 166 16.5k
Guo-Fan Cao China 11 7.9k 0.7× 7.5k 1.0× 1.6k 0.4× 2.1k 1.0× 1.6k 1.0× 17 14.4k
Patricia Boya Spain 50 6.0k 0.6× 6.1k 0.8× 852 0.2× 1.8k 0.8× 1.5k 0.9× 114 12.4k
Satoshi Waguri Japan 47 8.8k 0.8× 8.5k 1.1× 1.3k 0.3× 4.0k 1.9× 2.3k 1.4× 134 16.7k
Patrice Codogno France 78 12.7k 1.2× 15.7k 2.1× 2.4k 0.6× 4.8k 2.3× 2.3k 1.4× 251 25.0k
Eeva‐Liisa Eskelinen Finland 56 7.0k 0.7× 9.4k 1.2× 950 0.2× 4.4k 2.1× 2.4k 1.5× 113 15.7k
Shigeomi Shimizu Japan 58 12.5k 1.2× 4.9k 0.7× 1.5k 0.4× 1.9k 0.9× 1.9k 1.1× 146 18.5k
Kay F. Macleod United States 39 6.5k 0.6× 4.3k 0.6× 1.9k 0.5× 1.2k 0.6× 883 0.5× 73 10.6k
Guillermo Mariño France 34 5.2k 0.5× 5.9k 0.8× 1.1k 0.3× 1.4k 0.7× 1.3k 0.8× 55 10.3k

Countries citing papers authored by Biao Yan

Since Specialization
Citations

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

Fields of papers citing papers by Biao Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biao Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Biao Yan. A scholar is included among the top collaborators of Biao Yan 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 Biao Yan. Biao Yan 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
2.
Ge, Shengfang, Ti‐Fei Yuan, Xianting Ding, et al.. (2025). Neurotransmitters in tumors: chemical cross-talk shaping tumor progression. Biomarker Research. 13(1). 125–125.
3.
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.
4.
Zhang, Huiying, Qiuyang Zhang, Qing Liu, et al.. (2025). Exosome-loading miR-205: a two-pronged approach to ocular neovascularization therapy. Journal of Nanobiotechnology. 23(1). 36–36. 6 indexed citations
5.
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
6.
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
7.
Ren, Ling, et al.. (2024). Single-cell transcriptomic analysis reveals the antiangiogenic role of Mgarp in diabetic retinopathy. BMJ Open Diabetes Research & Care. 12(4). e004189–e004189. 1 indexed citations
8.
Yan, Biao, Ting Zeng, Xiaoshan Liu, et al.. (2024). Study on the interaction protein of transcription factor Smad3 based on TurboID proximity labeling technology. Genomics. 116(3). 110839–110839. 2 indexed citations
9.
Xu, Miao, et al.. (2023). “One stone and two birds” strategy to treat neovascular age-related macular degeneration by a novel retinoid drug, EYE-101. Experimental Eye Research. 227. 109385–109385. 3 indexed citations
10.
Zhang, Lili, Lingjie Kong, Ming Tong, et al.. (2023). Comprehensive metabolic profiling of diabetic retinopathy. Experimental Eye Research. 233. 109538–109538. 6 indexed citations
11.
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
12.
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
13.
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
14.
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
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.
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
18.
Zhang, Wei Dong, et al.. (2018). P3.13-09 ALTER-0303 Study: Tumor Mutation Index (TMI) For Clinical Response to Anlotinib in Advanced NSCLC Patients at 3rd Line. Journal of Thoracic Oncology. 13(10). S979–S979.
19.
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
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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