Wei Yan

5.6k total citations · 1 hit paper
106 papers, 4.2k citations indexed

About

Wei Yan is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Wei Yan has authored 106 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 27 papers in Cancer Research and 21 papers in Physiology. Recurrent topics in Wei Yan's work include MicroRNA in disease regulation (21 papers), Extracellular vesicles in disease (18 papers) and Advanced Glycation End Products research (15 papers). Wei Yan is often cited by papers focused on MicroRNA in disease regulation (21 papers), Extracellular vesicles in disease (18 papers) and Advanced Glycation End Products research (15 papers). Wei Yan collaborates with scholars based in China, United States and France. Wei Yan's co-authors include Shuai Jiang, Takashi Mikawa, Shizhen Emily Wang, Rongqiao He, Minghui Cao, Rong He, Ying Liu, Sylvia Μ. Evans, Xiwei Wu and Donald Pizzo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Wei Yan

100 papers receiving 4.2k citations

Hit Papers

Cancer-cell-secreted exosomal miR-105 promotes tumour gro... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Yan China 39 2.5k 985 688 461 446 106 4.2k
Michael J. Wolfgang United States 41 2.3k 0.9× 556 0.6× 1.6k 2.3× 358 0.8× 349 0.8× 84 4.8k
Clifford D.L. Folmes United States 26 2.9k 1.2× 645 0.7× 1.0k 1.5× 226 0.5× 239 0.5× 37 4.9k
Éric Dufour Finland 31 3.0k 1.2× 849 0.9× 618 0.9× 253 0.5× 368 0.8× 69 4.2k
Myriam Baes Belgium 44 4.5k 1.8× 1.0k 1.1× 1.4k 2.0× 641 1.4× 778 1.7× 148 6.8k
Ilsa I. Rovira United States 26 3.4k 1.3× 682 0.7× 1.0k 1.5× 611 1.3× 210 0.5× 33 5.9k
Kousuke Noda Japan 41 2.2k 0.8× 318 0.3× 375 0.5× 212 0.5× 301 0.7× 168 5.2k
Ting‐Fen Tsai Taiwan 37 3.0k 1.2× 977 1.0× 342 0.5× 337 0.7× 178 0.4× 110 4.6k
Angel Aponte United States 36 2.8k 1.1× 396 0.4× 840 1.2× 177 0.4× 255 0.6× 69 4.4k
Takayuki Shindo Japan 40 2.8k 1.1× 403 0.4× 507 0.7× 458 1.0× 196 0.4× 116 5.7k
Masaki Takiguchi Japan 35 2.0k 0.8× 365 0.4× 801 1.2× 362 0.8× 444 1.0× 100 3.9k

Countries citing papers authored by Wei Yan

Since Specialization
Citations

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

Fields of papers citing papers by Wei Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Yan. A scholar is included among the top collaborators of Wei 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 Wei Yan. Wei 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
1.
Yi, Huan, Jie Zhang, Kai Gao, et al.. (2025). Morphological Characteristics and Extracellular Matrix Abnormalities in Astrocytes Derived From iPSCs of Children With Alexander Disease. CNS Neuroscience & Therapeutics. 31(1). e70240–e70240. 1 indexed citations
2.
Li, Xu, Sheng Hu, Xiaoyu Fu, et al.. (2025). Breast Cancer‐Secreted DPP3 Promotes Lung Metastasis by Remodelling the Vascular Niche in Lung via the Rap1 Signalling Pathway. Journal of Extracellular Vesicles. 14(12). e70182–e70182.
3.
Li, Meixin, Sheng Hu, Yuan Meng, et al.. (2024). Tumor-derived miR-9-5p-loaded EVs regulate cholesterol homeostasis to promote breast cancer liver metastasis in mice. Nature Communications. 15(1). 10539–10539. 16 indexed citations
4.
Zhou, Haifeng, Sheng Hu, & Wei Yan. (2024). Extracellular vesicles as modifiers of epigenomic profiles. Trends in Genetics. 40(9). 797–809. 10 indexed citations
5.
Ruan, Xianhui, Wei Yan, Minghui Cao, et al.. (2024). Breast cancer cell-secreted miR-199b-5p hijacks neurometabolic coupling to promote brain metastasis. Nature Communications. 15(1). 4549–4549. 25 indexed citations
6.
Dong, Li, Jianping Huang, Yixuan Wang, et al.. (2023). Analysis of Long‐Term Trends in the Vertical Distribution and Transport Paths of Atmospheric Aerosols in Typical Regions of China Using 15 Years of CALIOP Data. Journal of Geophysical Research Atmospheres. 128(14). 6 indexed citations
7.
Li, Meixin, et al.. (2023). Inosine enhances tumor mitochondrial respiration by inducing Rag GTPases and nascent protein synthesis under nutrient starvation. Cell Death and Disease. 14(8). 492–492. 9 indexed citations
8.
Hu, Sheng, et al.. (2023). Extracellular vesicle-mediated interorgan communication in metabolic diseases. Trends in Endocrinology and Metabolism. 34(9). 571–582. 42 indexed citations
9.
Fu, Xiaoyu, et al.. (2023). The biological function of tumor-derived extracellular vesicles on metabolism. Cell Communication and Signaling. 21(1). 150–150. 20 indexed citations
10.
Yan, Wei, Minghui Cao, Xianhui Ruan, et al.. (2022). Cancer-cell-secreted miR-122 suppresses O-GlcNAcylation to promote skeletal muscle proteolysis. Nature Cell Biology. 24(5). 793–804. 56 indexed citations
11.
Cao, Xiao, Yue Chen, Yong Xu, et al.. (2021). Comparison of bovine serum albumin glycation by ribose and fructose in vitro and in vivo. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1868(1). 166283–166283. 31 indexed citations
12.
Pintér, Gabriella A., et al.. (2021). Modeling the bidirectional glutamine/ammonium conversion between cancer cells and cancer-associated fibroblasts. PeerJ. 9. e10648–e10648. 5 indexed citations
13.
Shen, Meng, Chuan Dong, Xianhui Ruan, et al.. (2019). Chemotherapy-Induced Extracellular Vesicle miRNAs Promote Breast Cancer Stemness by Targeting ONECUT2. Cancer Research. 79(14). 3608–3621. 153 indexed citations
14.
Chen, Yao, Lexiang Yu, Yujing Wang, et al.. (2019). d-Ribose contributes to the glycation of serum protein. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(9). 2285–2292. 48 indexed citations
15.
Liu, Liang, Lin Yang, Wei Yan, et al.. (2018). Chemotherapy Induces Breast Cancer Stemness in Association with Dysregulated Monocytosis. Clinical Cancer Research. 24(10). 2370–2382. 44 indexed citations
16.
Wang, Yueling, Wen‐Jin Sun, Bing Xiao, et al.. (2017). MBD2 Regulates Th17 Cell Differentiation and Experimental Severe Asthma by Affecting IRF4 Expression. Mediators of Inflammation. 2017. 1–10. 21 indexed citations
17.
Wang, Jingru, et al.. (2017). Disrupted pursuit compensation during self-motion perception in early Alzheimer’s disease. Scientific Reports. 7(1). 4049–4049. 5 indexed citations
18.
Yan, Wei, Qing Ye, Min Tan, et al.. (2015). Modulation of Aminoacylation and Editing Properties of Leucyl-tRNA Synthetase by a Conserved Structural Module. Journal of Biological Chemistry. 290(19). 12256–12267. 6 indexed citations
19.
Yan, Wei, et al.. (2012). d-ribose in glycation and protein aggregation. Biochimica et Biophysica Acta (BBA) - General Subjects. 1820(4). 488–494. 95 indexed citations
20.
Kelly, Kristine, Wei Yan, & Takashi Mikawa. (2002). Cell death along the embryo midline regulates left–right sidedness. Developmental Dynamics. 224(2). 238–244. 24 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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