Min Yu

21.2k total citations · 4 hit papers
208 papers, 11.4k citations indexed

About

Min Yu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Min Yu has authored 208 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Molecular Biology, 60 papers in Oncology and 53 papers in Cancer Research. Recurrent topics in Min Yu's work include Cancer Cells and Metastasis (30 papers), Cancer Genomics and Diagnostics (19 papers) and Cancer-related molecular mechanisms research (18 papers). Min Yu is often cited by papers focused on Cancer Cells and Metastasis (30 papers), Cancer Genomics and Diagnostics (19 papers) and Cancer-related molecular mechanisms research (18 papers). Min Yu collaborates with scholars based in China, United States and United Kingdom. Min Yu's co-authors include Daniel A. Haber, Shyamala Maheswaran, Mehmet Toner, Shannon L. Stott, Sridhar Ramaswamy, Ben S. Wittner, David T. Ting, Aditya Bardia, Maria Donaldson Collier and Elena F. Brachtel and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Min Yu

202 papers receiving 11.2k citations

Hit Papers

Circulating Breast Tumor Cells Exhibit Dynamic Changes in... 2011 2026 2016 2021 2013 2014 2011 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Yu China 45 5.5k 4.8k 3.5k 1.6k 1.4k 208 11.4k
Derek C. Radisky United States 61 7.1k 1.3× 5.9k 1.2× 3.8k 1.1× 1.1k 0.7× 2.1k 1.5× 196 14.3k
Shibin Zhou United States 38 8.5k 1.5× 4.1k 0.9× 3.8k 1.1× 1.5k 1.0× 795 0.6× 66 14.9k
Dennis E. Hallahan United States 66 6.5k 1.2× 3.2k 0.7× 1.9k 0.5× 1.3k 0.8× 592 0.4× 267 13.3k
Kai Kessenbrock United States 30 5.4k 1.0× 3.3k 0.7× 2.6k 0.8× 1.1k 0.7× 1.5k 1.1× 50 12.4k
Leoni A. Kunz‐Schughart Germany 50 5.7k 1.0× 5.2k 1.1× 3.4k 1.0× 3.6k 2.3× 1.5k 1.0× 135 14.8k
Alexander D. Borowsky United States 51 4.7k 0.9× 2.6k 0.5× 1.6k 0.5× 988 0.6× 599 0.4× 197 8.7k
David G. Kirsch United States 53 6.1k 1.1× 4.1k 0.8× 2.5k 0.7× 1.3k 0.8× 541 0.4× 263 13.3k
Raffaella Giavazzi Italy 57 6.2k 1.1× 4.0k 0.8× 3.4k 1.0× 497 0.3× 1.0k 0.7× 232 11.4k
Dietmar W. Siemann United States 53 4.2k 0.8× 2.5k 0.5× 2.7k 0.8× 1.2k 0.8× 555 0.4× 276 8.9k
Onno Kranenburg Netherlands 52 5.4k 1.0× 3.0k 0.6× 1.5k 0.4× 611 0.4× 1.5k 1.0× 188 9.8k

Countries citing papers authored by Min Yu

Since Specialization
Citations

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

Fields of papers citing papers by Min Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Min Yu. A scholar is included among the top collaborators of Min Yu 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 Min Yu. Min Yu 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.
Ha, Dat P., Woo‐Jin Shin, Ze Liu, et al.. (2024). Targeting stress induction of GRP78 by cardiac glycoside oleandrin dually suppresses cancer and COVID-19. Cell & Bioscience. 14(1). 115–115. 3 indexed citations
3.
Wang, Fengying, et al.. (2023). Analysis of a super-transmission of SARS-CoV-2 omicron variant BA.5.2 in the outdoor night market. Frontiers in Public Health. 11. 1153303–1153303.
4.
5.
Li, Wuquan, et al.. (2023). Cuproptosis-related gene identification and immune infiltration analysis in systemic lupus erythematosus. Frontiers in Immunology. 14. 1157196–1157196. 11 indexed citations
6.
Cardinal, Tyler, Dhiraj J. Pangal, Ben A. Strickland, et al.. (2021). Anatomical and topographical variations in the distribution of brain metastases based on primary cancer origin and molecular subtypes: a systematic review. Neuro-Oncology Advances. 4(1). vdab170–vdab170. 13 indexed citations
7.
Wang, Jingmin, et al.. (2021). Overexpression of the Long Noncoding RNA HIF2PUT Inhibits Non-Small Cell Lung Cancer Cell Proliferation and Invasion Through HIF-2a Pathway. Cancer Biotherapy and Radiopharmaceuticals. 38(5). 275–281. 2 indexed citations
8.
Yu, Min, Li Sun, Yi Liu, et al.. (2021). Epidermal Growth Factor Receptor Mutation Mechanisms in Nonsmall Cell Lung Cancer by Transcriptome Sequencing. Cancer Biotherapy and Radiopharmaceuticals. 37(7). 560–568. 6 indexed citations
9.
Yu, Min, Li Ren, Fan Liang, et al.. (2020). Effect of epiberberine from Coptis chinensis Franch on inhibition of tumor growth in MKN-45 xenograft mice. Phytomedicine. 76. 153216–153216. 40 indexed citations
10.
Sivan, Yakov, Amy Zhou, Lawrence J. Jennings, et al.. (2019). Congenital central hypoventilation syndrome: Severe disease caused by co‐occurrence of two PHOX2B variants inherited separately from asymptomatic family members. American Journal of Medical Genetics Part A. 179(3). 503–506. 7 indexed citations
12.
Hallam, Dean, Gerrit Hilgen, Birthe Dorgau, et al.. (2018). Efficient generation of laminated and light responsive retinal organoids for use in toxicological assays. Investigative Ophthalmology & Visual Science. 59(9). 5329–5329. 1 indexed citations
13.
Javaid, Sarah, Jianmin Zhang, Gromoslaw A. Smolen, et al.. (2015). MAPK7 Regulates EMT Features and Modulates the Generation of CTCs. Molecular Cancer Research. 13(5). 934–943. 35 indexed citations
14.
Bersani, Francesca, Jung Woo Lee, Min Yu, et al.. (2014). Bioengineered Implantable Scaffolds as a Tool to Study Stromal-Derived Factors in Metastatic Cancer Models. Cancer Research. 74(24). 7229–7238. 51 indexed citations
15.
Aceto, Nicola, Aditya Bardia, David T. Miyamoto, et al.. (2014). Circulating Tumor Cell Clusters Are Oligoclonal Precursors of Breast Cancer Metastasis. Cell. 158(5). 1110–1122. 1786 indexed citations breakdown →
16.
Sun, Lixin, Weidong Li, Zhibin Lin, et al.. (2014). Protection Against Lung Cancer Patient Plasma-Induced Lymphocyte Suppression byGanoderma LucidumPolysaccharides. Cellular Physiology and Biochemistry. 33(2). 289–299. 48 indexed citations
17.
Sun, Lixin, Zhibin Lin, Ning Yang, et al.. (2014). Suppression of the Production of Transforming Growth Factor β1, Interleukin-10, and Vascular Endothelial Growth Factor in the B16F10 Cells by Ganoderma lucidum Polysaccharides. Journal of Interferon & Cytokine Research. 34(9). 667–675. 14 indexed citations
18.
Yu, Min, Aditya Bardia, Ben S. Wittner, et al.. (2013). Circulating Breast Tumor Cells Exhibit Dynamic Changes in Epithelial and Mesenchymal Composition. Science. 339(6119). 580–584. 1928 indexed citations breakdown →
19.
Yu, Min. (2012). Clinical research and correlated cytokine study of thalidomide combined with prednisone on idiopathic pulmonary fibrosis. 1 indexed citations
20.
Simpson, David R., Min Yu, Siyuan Zheng, et al.. (2011). Epithelial Cell Organization Suppresses Myc Function by Attenuating Myc Expression. Cancer Research. 71(11). 3822–3830. 8 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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