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Shu Wang

Active 1987–2026

1,174
Papers
70,765
Citations
134
h-index
793
i10-index

Citations

Citations per year for Shu Wang1964: 1 citations1970: 1 citations1980: 1 citations1989: 1 citations1997: 1 citations1999: 4 citations2000: 6 citations2001: 2 citations2002: 4 citations2003: 16 citations2004: 37 citations2005: 45 citations2006: 73 citations2007: 90 citations2008: 146 citations2009: 208 citations2010: 250 citations2011: 272 citations2012: 287 citations2013: 374 citations2014: 430 citations2015: 518 citations2016: 516 citations2017: 561 citations2018: 682 citations2019: 1,790 citations2020: 2,507 citations2021: 2,868 citations2022: 2,894 citations2023: 2,751 citations2024: 4,166 citations2025: 2,816 citations2026: 427 citations2027: 2 citations1965–1969: no citations, so these years are not shown1971–1979: no citations, so these years are not shown1981–1988: no citations, so these years are not shown1990–1996: no citations, so these years are not shown1998: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 10,511 citing papers, 33% of this breakdownUnited States: 5,282 citing papers, 16.6% of this breakdownUnited Kingdom: 1,277 citing papers, 4% of this breakdownGermany: 1,040 citing papers, 3.3% of this breakdownIndia: 940 citing papers, 3% of this breakdownCanada: 794 citing papers, 2.5% of this breakdownItaly: 785 citing papers, 2.5% of this breakdownSouth Korea: 731 citing papers, 2.3% of this breakdownFrance: 670 citing papers, 2.1% of this breakdownAustralia: 643 citing papers, 2% of this breakdownJapan: 574 citing papers, 1.8% of this breakdownSpain: 545 citing papers, 1.7% of this breakdown
0%33%Other 25.2%

Institutions

Fields

  • Biochemistry, Genetics and Molecular Biology23.2%
  • Medicine22.7%
  • Computer Science15.6%
  • Engineering13.5%
  • Immunology and Microbiology6.4%
  • Materials Science4.8%
  • Other13.8%

Topics

  • Nanoplatforms for cancer theranostics2.4%
  • Advanced biosensing and bioanalysis techniques2.4%
  • Immune Cell Function and Interaction1.2%
  • Luminescence and Fluorescent Materials1.1%
  • Immune cells in cancer1%
  • Single-cell and spatial transcriptomics1%
  • Other90.9%

Coauthors

All papers

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  1. Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis

    Authors: Christopher Seymour, Jason Kennedy, Shu Wang, Chung‐Chou H. Chang, Corrine F. Elliott, Zhongying Xu, Scott Berry, Gilles Clermont, Gregory F. Cooper, Hernando Gómez, David T. Huang, John A. Kellum, Qi Mi, Steven M. Opal, Victor B. Talisa, Tom van der Poll, Shyam Visweswaran, Yoram Vodovotz, Jeremy C. Weiss, Donald M. Yealy, Sachin Yende, Derek C. Angus - JAMA 2019 cited by 1,503

  2. A Cancer Cell Program Promotes T Cell Exclusion and Resistance to Checkpoint Blockade

    Authors: Livnat Jerby‐Arnon, Parin Shah, Michael S. Cuoco, Christopher Rodman, Mei-Ju Su, Johannes C. Melms, Rachel Leeson, Abhay Kanodia, Shaolin Mei, Jia‐Ren Lin, Shu Wang, Bokang Rabasha, David Liu, Gao Zhang, Claire Margolais, Orr Ashenberg, Patrick A. Ott, Elizabeth I. Buchbinder, Rizwan Haq, F. Stephen Hodi, Genevieve M. Boland, Ryan J. Sullivan, Dennie T. Frederick, Benchun Miao, Tabea Moll, Keith T. Flaherty, Meenhard Herlyn, Russell W. Jenkins, Rohit Thummalapalli, Monika S. Kowalczyk, Israel Cañadas, Bastian Schilling, Adam N.R. Cartwright, Adrienne Luoma, Shruti Malu, Patrick Hwu, Chantale Bernatchez, Marie-Andrée Forget, David A. Barbie, Alex K. Shalek, Itay Tirosh, Peter K. Sorger, Kai W. Wucherpfennig, Eliezer M. Van Allen, Dirk Schadendorf, Bruce E. Johnson, Asaf Rotem, Orit Rozenblatt–Rosen, Levi A. Garraway, Charles H. Yoon, Benjamin Izar, Aviv Regev - Cell 2018 cited by 1,482

  3. Differentially Private Generative Adversarial Network

    Authors: Liyang Xie, Kaixiang Lin, Shu Wang, Fei Wang, Jiayu Zhou - arXiv (Cornell University), CoRR 2018 cited by 441

  4. Treatment of Inflammatory Bowel Disease: A Comprehensive Review

    Authors: Zhaobei Cai, Shu Wang, Jiannan Li - Frontiers in Medicine 2021 cited by 642

  5. Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images

    Authors: Yue Zhou, Houjin Chen, Yanfeng Li, Qin Liu, Xuanang Xu, Shu Wang, Pew-Thian Yap, Dinggang Shen - Medical Image Analysis, Medical Image Anal. 2020 cited by 337

  6. Highly multiplexed immunofluorescence imaging of human tissues and tumors using t-CyCIF and conventional optical microscopes

    Authors: Jia‐Ren Lin, Benjamin Izar, Shu Wang, Clarence Yapp, Shaolin Mei, Parin Shah, Sandro Santagata, Peter K. Sorger - eLife 2017 cited by 746

  7. Self-Assembled Copper–Amino Acid Nanoparticles for in Situ Glutathione “AND” H2O2 Sequentially Triggered Chemodynamic Therapy

    Authors: Baojin Ma, Shu Wang, Feng Liu, Shan Zhang, Jiazhi Duan, Li Zhao, Ying Kong, Yuanhua Sang, Hong Liu, Wenbo Bu, Linlin Li - Journal of the American Chemical Society 2018 cited by 1,210

  8. Multiplexed 3D atlas of state transitions and immune interaction in colorectal cancer

    Authors: Jia‐Ren Lin, Shu Wang, Shannon Coy, Yu‐An Chen, Clarence Yapp, Madison Tyler, Maulik K. Nariya, Cody N. Heiser, Ken S. Lau, Sandro Santagata, Peter K. Sorger - Cell 2023 cited by 299

  9. IL-21 drives expansion and plasma cell differentiation of autoreactive CD11chiT-bet+ B cells in SLE

    Authors: Shu Wang, Jingya Wang, Varsha Kumar, Jodi L. Karnell, Brian Naiman, Phillip S. Gross, Saifur Rahman, Kamelia Zerrouki, Richard N. Hanna, Christopher Morehouse, Nicholas Holoweckyj, Hao Liu, Autoimmunity Molecular Medicine Team, Kerry A. Casey, Michael A. Smith, Melissa Parker, Natalie White, Jeffrey M. Riggs, Beth K. Ward, Geetha Bhat, Bhargavi Rajan, R W Grady, Chris Groves, Zerai Manna, Raphaela Goldbach‐Mansky, Sarfaraz Hasni, Richard M. Siegel, Miguel A. F. Sanjuán, Katie Streicher, Michael P. Cancro, Roland Kolbeck, Rachel Ettinger - Nature Communications 2018 cited by 569

  10. The gut microbial metabolite trimethylamine N-oxide aggravates GVHD by inducing M1 macrophage polarization in mice

    Authors: Kunpeng Wu, Yan Yuan, Huihui Yu, Xin Dai, Shu Wang, Zhengxu Sun, Fen Wang, Fei He, Qiwang Lin, Hua Jiang, Tong Chen - Blood 2020 cited by 348

  11. Damage‐associated molecular pattern–activated neutrophil extracellular trap exacerbates sterile inflammatory liver injury

    Authors: Hai Huang, Samer Tohme, Ahmed B. Al‐Khafaji, Sheng Tai, Patricia Loughran, Li Chen, Shu Wang, Jiyun Kim, Timothy R. Billiar, Yanming Wang, Allan Tsung - Hepatology 2015 cited by 534

  12. Outlier Detection Based on Fuzzy Rough Granules in Mixed Attribute Data

    Authors: Zhong Yuan, Hongmei Chen, Tianrui Li, Binbin Sang, Shu Wang - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2021 cited by 95

  13. Toughening hydrogels through force-triggered chemical reactions that lengthen polymer strands

    Authors: Zi Wang, Xujun Zheng, Tetsu Ouchi, Tatiana B. Kouznetsova, Haley K. Beech, Sarah Av-Ron, Takahiro Matsuda, Brandon H. Bowser, Shu Wang, Jeremiah A. Johnson, Julia A. Kalow, Bradley D. Olsen, Jian Ping Gong, Michael Rubinstein, Stephen L. Craig - Science 2021 cited by 344

  14. Cascade Reactions by Nitric Oxide and Hydrogen Radical for Anti-Hypoxia Photodynamic Therapy Using an Activatable Photosensitizer

    Authors: Jian Sun, Xuetong Cai, Chengjun Wang, Ke Du, Weijian Chen, Fude Feng, Shu Wang - Journal of the American Chemical Society 2021 cited by 265

  15. Amine-responsive cellulose-based ratiometric fluorescent materials for real-time and visual detection of shrimp and crab freshness

    Authors: Ruonan Jia, Weiguo Tian, Haotian Bai, Jinming Zhang, Shu Wang, Jun Zhang - Nature Communications 2019 cited by 476

  16. PAD4 mediated histone hypercitrullination induces heterochromatin decondensation and chromatin unfolding to form neutrophil extracellular trap-like structures

    Authors: Marc Leshner, Shu Wang, Carrie Lewis, Han Zheng, Xiangyun Amy Chen, Lorraine C. Santy, Yanming Wang - Frontiers in Immunology 2012 cited by 468

  17. Single-cell RNA sequencing provides a high-resolution roadmap for understanding the multicellular compartmentation of specialized metabolism

    Authors: Sijie Sun, Xiaofeng Shen, Yi Li, Ying Li, Shu Wang, Rucan Li, Huibo Zhang, Guoan Shen, Baolin Guo, Jianhe Wei, Jiang Xu, Benoit St‐Pierre, Shilin Chen, Chao Sun - Nature Plants 2022 cited by 137

  18. Application of nanotechnology in improving bioavailability and bioactivity of diet-derived phytochemicals

    Authors: Shu Wang, Rui Su, Shufang Nie, Ming Sun, Jia Zhang, Dayong Wu, Naïma Moustaïd‐Moussa - The Journal of Nutritional Biochemistry 2013 cited by 527

  19. Uncertainty Aware Temporal-Ensembling Model for Semi-Supervised ABUS Mass Segmentation

    Authors: Xuyang Cao, Houjin Chen, Yanfeng Li, Yahui Peng, Shu Wang, Lin Cheng - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2020 cited by 124

  20. Novel insights of dietary polyphenols and obesity

    Authors: Shu Wang, Naïma Moustaïd‐Moussa, Lixia Chen, Huanbiao Mo, Anuradha A. Shastri, Rui Su, Priyanka Bapat, In-Sook Kwun, Chwan‐Li Shen - The Journal of Nutritional Biochemistry 2013 cited by 885

  21. Amphotericin forms an extramembranous and fungicidal sterol sponge

    Authors: Thomas M. Anderson, Mary C. Clay, Alexander G. Cioffi, Katrina A. Diaz, Grant S. Hisao, Marcus D. Tuttle, Andrew J. Nieuwkoop, Gemma Comellas, Nashrah Maryum, Shu Wang, Brice E. Uno, Erin L Wildeman, Tamir Gonen, Chad M. Rienstra, Martin D. Burke - Nature Chemical Biology 2014 cited by 511

  22. Supramolecular Antibacterial Materials for Combatting Antibiotic Resistance

    Authors: Xingshu Li, Haotian Bai, Yuchong Yang, Juyoung Yoon, Shu Wang, Xi Zhang - Advanced Materials 2018 cited by 540

  23. CXCR1 Expression to Improve Anti-Cancer Efficacy of Intravenously Injected CAR-NK Cells in Mice with Peritoneal Xenografts

    Authors: Yu Yang Ng, Johan Chin-Kang Tay, Shu Wang - Molecular Therapy — Oncolytics 2019 cited by 158

  24. Multispectral Deep Neural Networks for Pedestrian Detection

    Authors: Jingjing Liu, Shaoting Zhang, Shu Wang, Dimitris N. Metaxas - Procedings of the British Machine Vision Conference 2016, BMVC 2016 cited by 488