Meisi Yan

2.0k total citations · 2 hit papers
21 papers, 1.2k citations indexed

About

Meisi Yan is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Meisi Yan has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Immunology. Recurrent topics in Meisi Yan's work include Cancer Immunotherapy and Biomarkers (4 papers), Cancer Cells and Metastasis (4 papers) and Immunotherapy and Immune Responses (4 papers). Meisi Yan is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Cancer Cells and Metastasis (4 papers) and Immunotherapy and Immune Responses (4 papers). Meisi Yan collaborates with scholars based in China, United States and Taiwan. Meisi Yan's co-authors include Jennifer L. Hsu, Mien‐Chie Hung, Jung-Mao Hsu, Jun Yao, Chao‐Kai Chou, Dihua Yu, Heng‐Huan Lee, Yongkun Wei, Gabriel N. Hortobágyi and Hui Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Meisi Yan

20 papers receiving 1.2k citations

Hit Papers

Galectin-9 interacts with PD-1 and TIM-3 to regulate T ce... 2021 2026 2022 2024 2021 2021 100 200 300 400

Peers

Meisi Yan
David S.M. Lee United States
Zheng Lv China
Laura Stanbery United States
Adam Cooper Australia
Jonathan F. Anker United States
David S.M. Lee United States
Meisi Yan
Citations per year, relative to Meisi Yan Meisi Yan (= 1×) peers David S.M. Lee

Countries citing papers authored by Meisi Yan

Since Specialization
Citations

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

Fields of papers citing papers by Meisi Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meisi Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Meisi Yan. A scholar is included among the top collaborators of Meisi 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 Meisi Yan. Meisi 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.
Wu, Hao, Xinghua Zhang, Shengye Jin, et al.. (2025). The combination of flaxseed lignans and PD-1/ PD-L1 inhibitor inhibits breast cancer growth via modulating gut microbiome and host immunity. Drug Resistance Updates. 80. 101222–101222. 12 indexed citations
2.
Zhao, Li, Meisi Yan, Shengye Jin, et al.. (2025). H4K79 and H4K91 histone lactylation, newly identified lactylation sites enriched in breast cancer. Journal of Experimental & Clinical Cancer Research. 44(1). 252–252. 2 indexed citations
3.
Zhang, Wanting, He Ren, Yilin Liu, et al.. (2025). The tumor microbiome in cancer progression: mechanisms and therapeutic potential. Molecular Cancer. 24(1). 195–195. 4 indexed citations
4.
Chen, Xiaohan, Jinfeng Yi, Lili Xie, et al.. (2024). Integration of transcriptomics and machine learning for insights into breast cancer: exploring lipid metabolism and immune interactions. Frontiers in Immunology. 15. 1470167–1470167. 3 indexed citations
5.
Yu, Lu, et al.. (2023). The combination of the HDAC1 inhibitor SAHA and doxorubicin has synergic efficacy in triple negative breast cancer in vivo. Pharmacological Research. 196. 106926–106926. 13 indexed citations
6.
Wang, Wenzheng, Yingqiang Fu, Xin Li, et al.. (2023). Cancer stem cells promote lymph nodes metastasis of breast cancer by reprogramming tumor microenvironment. Translational Oncology. 35. 101733–101733. 8 indexed citations
7.
Liu, Tong, Cheng Liu, Meisi Yan, et al.. (2022). Single cell profiling of primary and paired metastatic lymph node tumors in breast cancer patients. Nature Communications. 13(1). 6823–6823. 54 indexed citations
8.
Jiao, Shiping, Qing Xiong, Meisi Yan, et al.. (2022). Intratumor expanded T cell clones can be non-sentinel lymph node derived in breast cancer revealed by single-cell immune profiling. Journal for ImmunoTherapy of Cancer. 10(1). e003325–e003325. 13 indexed citations
9.
Jiang, Zhou, Seung-Oe Lim, Meisi Yan, et al.. (2021). TYRO3 induces anti–PD-1/PD-L1 therapy resistance by limiting innate immunity and tumoral ferroptosis. Journal of Clinical Investigation. 131(8). 255 indexed citations breakdown →
10.
Cha, Jong‐Ho, et al.. (2021). ATXN7L3B promotes hepatocellular carcinoma stemness and is downregulated by metformin. Biochemical and Biophysical Research Communications. 573. 1–8. 6 indexed citations
11.
Yang, Ri‐Yao, Linlin Sun, Ching-Fei Li, et al.. (2021). Galectin-9 interacts with PD-1 and TIM-3 to regulate T cell death and is a target for cancer immunotherapy. Nature Communications. 12(1). 832–832. 405 indexed citations breakdown →
12.
Liu, Chunxiao, Zhengyu Zha, Chenhao Zhou, et al.. (2020). Ribonuclease 7-driven activation of ROS1 is a potential therapeutic target in hepatocellular carcinoma. Journal of Hepatology. 74(4). 907–918. 21 indexed citations
13.
Yan, Meisi, Leiguang Ye, Xinxin Feng, et al.. (2020). MicroRNA-590-3p inhibits invasion and metastasis in triple-negative breast cancer by targeting Slug.. PubMed. 10(3). 965–974. 18 indexed citations
14.
Lee, Heng‐Huan, Ying‐Nai Wang, Weiya Xia, et al.. (2019). Removal of N-Linked Glycosylation Enhances PD-L1 Detection and Predicts Anti-PD-1/PD-L1 Therapeutic Efficacy. Cancer Cell. 36(2). 168–178.e4. 282 indexed citations
15.
Yan, Meisi, Jinsong Wang, Yanlv Ren, et al.. (2019). Over-expression of FSIP1 promotes breast cancer progression and confers resistance to docetaxel via MRP1 stabilization. Cell Death and Disease. 10(3). 204–204. 20 indexed citations
16.
Wang, Xiuli, Duanyang Liu, Lei Zhang, et al.. (2018). Relationship between infiltrating lymphocytes in cancerous ascites and dysfunction of Cajal mesenchymal cells in the small intestine.. PubMed. 11(4). 2201–2213.
17.
Liu, Tong, Hao Zhang, Li Sun, et al.. (2017). FSIP1 binds HER2 directly to regulate breast cancer growth and invasiveness. Proceedings of the National Academy of Sciences. 114(29). 7683–7688. 25 indexed citations
18.
Yan, Meisi, Zheng‐Xiang Li, Dandan Tong, et al.. (2016). miR-136 suppresses tumor invasion and metastasis by targeting RASAL2 in triple-negative breast cancer. Oncology Reports. 36(1). 65–71. 69 indexed citations
19.
Yan, Meisi, Lei Zhang, Yiqi Wu, et al.. (2016). Increased expression of kindlin‐2 is correlated with hematogenous metastasis and poor prognosis in patients with clear cell renal cell carcinoma. FEBS Open Bio. 6(7). 660–665. 13 indexed citations
20.
Yan, Meisi, et al.. (2014). Association of insulin gene variable number of tandem repeats regulatory polymorphism with polycystic ovary syndrome. Human Immunology. 75(10). 1047–1052. 4 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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