Min Gao

Active 1989–2027

Also published as
Min, Gao
905
Papers
54,898
Citations
117
h-index
585
i10-index

Citations

Citations per year for Min Gao1905: 1 citations1964: 1 citations1986: 1 citations1990: 5 citations1991: 2 citations1992: 4 citations1993: 6 citations1994: 7 citations1995: 2 citations1996: 10 citations1997: 11 citations1998: 12 citations1999: 8 citations2000: 9 citations2001: 30 citations2002: 50 citations2003: 48 citations2004: 75 citations2005: 76 citations2006: 112 citations2007: 100 citations2008: 95 citations2009: 102 citations2010: 148 citations2011: 190 citations2012: 246 citations2013: 270 citations2014: 332 citations2015: 315 citations2016: 374 citations2017: 484 citations2018: 621 citations2019: 1,307 citations2020: 1,558 citations2021: 1,968 citations2022: 2,115 citations2023: 2,059 citations2024: 3,419 citations2025: 2,531 citations2026: 497 citations2027: 6 citations1906–1963: no citations, so these years are not shown1965–1985: no citations, so these years are not shown1987–1989: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 8,585 citing papers, 33.9% of this breakdownUnited States: 4,308 citing papers, 17% of this breakdownUnited Kingdom: 1,119 citing papers, 4.4% of this breakdownGermany: 767 citing papers, 3% of this breakdownAustralia: 667 citing papers, 2.6% of this breakdownIndia: 661 citing papers, 2.6% of this breakdownItaly: 630 citing papers, 2.5% of this breakdownCanada: 623 citing papers, 2.5% of this breakdownJapan: 495 citing papers, 1.9% of this breakdownFrance: 488 citing papers, 1.9% of this breakdownSouth Korea: 473 citing papers, 1.9% of this breakdownSpain: 457 citing papers, 1.8% of this breakdown
0%33.9%Other 24%

Fields

  • Medicine27.9%
  • Biochemistry, Genetics and Molecular Biology25.5%
  • Computer Science14.7%
  • Engineering10.9%
  • Immunology and Microbiology4.6%
  • Materials Science3.3%
  • Other13.1%

Topics

  • Nanoplatforms for cancer theranostics2.4%
  • RNA modifications and cancer1.9%
  • Recommender Systems and Techniques1.8%
  • Cancer, Hypoxia, and Metabolism1.5%
  • Cancer-related molecular mechanisms research1.2%
  • Advanced Graph Neural Networks1%
  • Other90.2%

Coauthors

All papers

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  1. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

    Authors: , :, , , , , , , , , , , , , , , , , , , , , , , , , , , , , Dongwoo Kim, Young Jin Kim, Gina Lee, Jinyu Li, Yunsheng Li, Liang Chen, Xihui Lin, Zeqi Lin, Mengchen Liu, Yang Liu, Gilsinia Lopez, Chong Luo, Piyush Madan, Vadim Mazalov, Arindam Mitra, Alireza Mousavi, Anh D. Nguyen, Jing Pan, Daniel Perez-Becker, Jacob Platin, Thomas Portet, Kai Qiu, Bo Ren, Liliang Ren, Sambuddha Roy, Ning Shang, Yelong Shen, Saksham Singhal, Subhojit Som, Xia Song, Tetyana Sych, Praneetha Vaddamanu, Shuohang Wang, Yiming Wang, Zhenghao Wang, Haibin Wu, Haoran Xu, Weijian Xu, Yifan Yang, Ziyi Yang, Donghan Yu, Ishmam Zabir, Jianwen Zhang, Li Lyna Zhang, Yunan Zhang, Xiren Zhou - ArXiv.org, CoRR 2025 cited by 410

  2. Disturbed mitochondrial dynamics in CD8+ TILs reinforce T cell exhaustion

    Authors: , , , , , , , , , , , , , , , , , , , - Nature Immunology 2020 cited by 569

  3. Lactylation of PKM2 Suppresses Inflammatory Metabolic Adaptation in Pro-inflammatory Macrophages

    Authors: , , , , , , , , , - International Journal of Biological Sciences 2022 cited by 364

  4. Targeting FTO Suppresses Cancer Stem Cell Maintenance and Immune Evasion

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Guido Marcucci, Ravi Salgia, Ling Li, Amir T. Fathi, Zejuan Li, James C. Mulloy, Minjie Wei, David Horne, Jianjun Chen - Cancer Cell 2020 cited by 767

  5. Metabolic reprogramming of terminally exhausted CD8+ T cells by IL-10 enhances anti-tumor immunity

    Authors: , , , , , , , , , , , , , , , , , , , , , - Nature Immunology 2021 cited by 427

  6. IL-10-expressing CAR T cells resist dysfunction and mediate durable clearance of solid tumors and metastases

    Authors: , , , , , , , , , , , , , - Nature Biotechnology 2024 cited by 265

  7. SocialLGN: Light graph convolution network for social recommendation

    Authors: , , , , , , - Information Sciences, Inf. Sci. 2022 cited by 170

  8. Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation

    Authors: , , , , , - International Conference on Information & Knowledge Management, CIKM 2021 cited by 132

  9. METTL16 exerts an m6A-independent function to facilitate translation and tumorigenesis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Chuan He, Jianjun Chen - Nature Cell Biology 2022 cited by 354

  10. Enhanced Multi-Task Learning and Knowledge Graph-Based Recommender System

    Authors: , , , , , - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2023 cited by 108

  11. Cancer-cell stiffening via cholesterol depletion enhances adoptive T-cell immunotherapy

    Authors: , , , , , , , , , , , , , , , - Nature Biomedical Engineering 2021 cited by 256

  12. Fluorescent chemical probes for accurate tumor diagnosis and targeting therapy

    Authors: , , , , - Chemical Society Reviews 2017 cited by 812

  13. R-2-hydroxyglutarate attenuates aerobic glycolysis in leukemia by targeting the FTO/m6A/PFKP/LDHB axis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Molecular Cell 2021 cited by 348

  14. METTL16 drives leukemogenesis and leukemia stem cell self-renewal by reprogramming BCAA metabolism

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Cell stem cell 2023 cited by 156

  15. BridgeDPI: a novel Graph Neural Network for predicting drug-protein interactions

    Authors: , , , , - Bioinformatics, Bioinform. 2022 cited by 110

  16. ECG-based multi-class arrhythmia detection using spatio-temporal attention-based convolutional recurrent neural network

    Authors: , , , , , , , - Artificial Intelligence in Medicine, Artif. Intell. Medicine 2020 cited by 192

  17. NLRP3 activation induced by neutrophil extracellular traps sustains inflammatory response in the diabetic wound

    Authors: , , , , , , , , - Clinical Science 2019 cited by 202

  18. AutoDSE: Enabling Software Programmers to Design Efficient FPGA Accelerators

    Authors: , , , - ACM Transactions on Design Automation of Electronic Systems, ACM Trans. Design Autom. Electr. Syst. 2021 cited by 85

  19. Erythrocyte‐Membrane‐Enveloped Perfluorocarbon as Nanoscale Artificial Red Blood Cells to Relieve Tumor Hypoxia and Enhance Cancer Radiotherapy

    Authors: , , , , , , - Advanced Materials 2017 cited by 595

  20. Insulin promotes macrophage phenotype transition through PI3K/Akt and PPAR‐γ signaling during diabetic wound healing

    Authors: , , , , , , , - Journal of Cellular Physiology 2018 cited by 190

  21. Disease-induced changes in plant microbiome assembly and functional adaptation

    Authors: , , , , , , , - Microbiome 2021 cited by 463

  22. Metabolite profiling stratifies pancreatic ductal adenocarcinomas into subtypes with distinct sensitivities to metabolic inhibitors

    Authors: , , , , , , , , , , , , , , , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2015 cited by 418

  23. VqWRKY56 interacts with VqbZIPC22 in grapevine to promote proanthocyanidin biosynthesis and increase resistance to powdery mildew

    Authors: , , , , , , , , , , , , , , - New Phytologist 2022 cited by 84

  24. Metabolic plasticity underpins innate and acquired resistance to LDHA inhibition

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Shiva Malek, Georgia Hatzivassiliou, Deepak Sampath, Marie Evangelista, Thomas O’Brien - Nature Chemical Biology 2016 cited by 268