Yao Zhang

Active 1995–2026

This name may cover more than one researcher. The papers and figures on this page are everything published under it, so they may combine several different people.

2,014
Papers
86,823
Citations
140
h-index
1,237
i10-index

Citations

Citations per year for Yao Zhang1924: 1 citations1965: 1 citations1987: 1 citations1988: 2 citations1990: 1 citations1992: 1 citations1993: 1 citations1994: 1 citations1996: 1 citations1997: 1 citations1998: 5 citations1999: 5 citations2000: 3 citations2001: 7 citations2002: 2 citations2003: 6 citations2004: 4 citations2005: 7 citations2006: 7 citations2007: 18 citations2008: 54 citations2009: 103 citations2010: 145 citations2011: 218 citations2012: 250 citations2013: 240 citations2014: 284 citations2015: 307 citations2016: 400 citations2017: 507 citations2018: 769 citations2019: 1,583 citations2020: 2,564 citations2021: 3,349 citations2022: 3,637 citations2023: 3,827 citations2024: 6,411 citations2025: 4,813 citations2026: 728 citations2027: 4 citations1925–1964: no citations, so these years are not shown1966–1986: no citations, so these years are not shown1989: no citations, so this year is not shown1991: no citations, so this year is not shown1995: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 14,789 citing papers, 37.2% of this breakdownUnited States: 5,365 citing papers, 13.5% of this breakdownUnited Kingdom: 1,654 citing papers, 4.2% of this breakdownGermany: 1,197 citing papers, 3% of this breakdownIndia: 1,136 citing papers, 2.8% of this breakdownCanada: 982 citing papers, 2.5% of this breakdownAustralia: 954 citing papers, 2.4% of this breakdownItaly: 921 citing papers, 2.3% of this breakdownSpain: 782 citing papers, 2% of this breakdownSouth Korea: 780 citing papers, 2% of this breakdownFrance: 716 citing papers, 1.8% of this breakdownJapan: 639 citing papers, 1.6% of this breakdown
0%37.2%Other 24.7%

Fields

  • Medicine22.8%
  • Biochemistry, Genetics and Molecular Biology21.6%
  • Computer Science18.3%
  • Engineering12.8%
  • Environmental Science4.4%
  • Immunology and Microbiology2.9%
  • Other17.2%

Topics

  • RNA modifications and cancer1.9%
  • Cancer-related molecular mechanisms research1.5%
  • MicroRNA in disease regulation1%
  • Immune cells in cancer0.9%
  • Advanced biosensing and bioanalysis techniques0.9%
  • Parallel Computing and Optimization Techniques0.8%
  • Other93%

Coauthors

All papers

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  1. Single-cell and spatial analysis reveal interaction of FAP+ fibroblasts and SPP1+ macrophages in colorectal cancer

    Authors: , , , , , , , , , , , , , , , , , , , , - Nature Communications 2022 cited by 931

  2. Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Lei Li, Xiahai Zhuang, David Viladés, M. Descalzo, Andrea Guala, Lucia La Mura, Matthias G. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavuş, Steffen E. Petersen, Sérgio Escalera, Santi Seguí, José F. Rodríguez-Palomares, Karim Lekadir - IEEE Transactions on Medical Imaging 2021 cited by 437

  3. YTHDF2 destabilizes m6A-containing RNA through direct recruitment of the CCR4–NOT deadenylase complex

    Authors: , , , , , , , - Nature Communications 2016 cited by 1,533

  4. Inhibiting PD-L1 palmitoylation enhances T-cell immune responses against tumours

    Authors: , , , , , , , , , , , , , , - Nature Biomedical Engineering 2019 cited by 561

  5. Microbiological Diagnostic Performance of Metagenomic Next-generation Sequencing When Applied to Clinical Practice

    Authors: , , , , , , , , , , , , , , , , , - Clinical Infectious Diseases 2018 cited by 895

  6. Inhibition of APOC1 promotes the transformation of M2 into M1 macrophages via the ferroptosis pathway and enhances anti-PD1 immunotherapy in hepatocellular carcinoma based on single-cell RNA sequencing

    Authors: , , , , , , , , , , , , - Redox Biology 2022 cited by 303

  7. Toward a New Era of SERS and TERS at the Nanometer Scale: From Fundamentals to Innovative Applications

    Authors: , , , , , , - Chemical Reviews 2023 cited by 518

  8. Induction of Bleb Structures in Lipid Nanoparticle Formulations of mRNA Leads to Improved Transfection Potency

    Authors: , , , , , , , , , , , , - Advanced Materials 2023 cited by 210

  9. Fusobacterium nucleatum host-cell binding and invasion induces IL-8 and CXCL1 secretion that drives colorectal cancer cell migration

    Authors: , , , , , , , , , , , - Science Signaling 2020 cited by 320

  10. The third Intensive Care Bundle with Blood Pressure Reduction in Acute Cerebral Haemorrhage Trial (INTERACT3): an international, stepped wedge cluster randomised controlled trial

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Chen Chen, Feifeng Liu, Yang Zhao, Hao Li, Yi Liu, Yan Jiang, Lei Chen, Bo Wu, Ming Liu, Jianguo Xu, Chao You, Craig S Anderson, Thompson Robinson, J. Jaime Miranda, Craig S. Anderson, Chao You, Lili Song, Adrian Parry‐Jones, Nikola Sprigg, S. F. Durrans, Caroline Harris, Ann Bamford, Olivia Smith, Robert J. Herbert, Christopher Chen, William Whiteley, Rong Hu, Laurent Billot, Qiang Li, Jayanthi Mysore, Xin Hu, Yao Zhang, Feifeng Liu, Yuki Sakamoto, Shoujiang You, Qiao Han, Bernard Crutzen, Yunke Li, Emily Cheung, Stephen Jan, Hueiming Liu, Menglu Ouyang, Lingli Sun, Honglin Chu, Anila Anjum, Francisca Gonzalez Mc Cawley, Alejandra Del Río, Bruna Rimoli, Rodrigo Cerantola, Thanushanthan Jeevarajah, Madhushani Kannangara, Andrene Joseph, Chamath Nanayakkara, Xiaoying Chen, Alejandra Malavera, Chunmiao Zhang, Zhao Yang, Brook Li, Zhuo Meng, Menglu Ouyang, Leibo Liu, Yi Ning, Le Dong, Manuela Armenis, Joyce Lim, Helen Monaghan, Lu Ma, Xin Hu, Zhiheng Li, Rui Luo and 578 more - The Lancet 2023 cited by 359

  11. Reformulating lipid nanoparticles for organ-targeted mRNA accumulation and translation

    Authors: , , , , , , , , , , , , , , , , - Nature Communications 2024 cited by 223

  12. Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

    Authors: , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 87

  13. Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Medical Image Analysis, Medical Image Anal. 2022 cited by 157

  14. The multimodality cell segmentation challenge: toward universal solutions

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Xiaochen Cai, Bizhe Bai, Noah F. Greenwald, David Van Valen, Erin Weisbart, Beth A. Cimini, T. Cheung, Oscar Brück, Gary D. Bader, Bo Wang - Nature Methods 2024 cited by 142

  15. Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 77

  16. HIP1R targets PD-L1 to lysosomal degradation to alter T cell–mediated cytotoxicity

    Authors: , , , , , , , , , - Nature Chemical Biology 2018 cited by 328

  17. New insights into fibrosis from the ECM degradation perspective: the macrophage-MMP-ECM interaction

    Authors: , , , , - Cell & Bioscience 2022 cited by 204

  18. Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Mengye Lyu, Yongkang Ma, Heng Guo, Weixin Xu, Klaus Maier-Hein, Yajun Wu, Bo Wang - The Lancet Digital Health 2024 cited by 103

  19. One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts

    Authors: , , , , , , , - npj Digital Medicine, npj Digit. Medicine 2025 cited by 61

  20. M6A-mediated upregulation of LINC00958 increases lipogenesis and acts as a nanotherapeutic target in hepatocellular carcinoma

    Authors: , , , , , , , , , - Journal of Hematology & Oncology 2020 cited by 496

  21. TyG index is positively associated with risk of CHD and coronary atherosclerosis severity among NAFLD patients

    Authors: , , , , , , , , , , - Cardiovascular Diabetology 2022 cited by 197

  22. M2 macrophage-secreted exosomes promote metastasis and increase vascular permeability in hepatocellular carcinoma

    Authors: , , , , , , , , - Cell Communication and Signaling 2023 cited by 144

  23. A Survey of Driving Safety With Sensing, Vehicular Communications, and Artificial Intelligence-Based Collision Avoidance

    Authors: , , , , - IEEE Transactions on Intelligent Transportation Systems, IEEE Trans. Intell. Transp. Syst. 2021 cited by 154

  24. Physiochemical drug properties associated with in vivo toxicological outcomes

    Authors: , , , , , , , , , , , , , , , , - Bioorganic & Medicinal Chemistry Letters 2008 cited by 973