Zhi Wei

Active 2003–2026

Also published as
Zhi, Wei
172
Papers
18,280
Citations
56
h-index
112
i10-index

Citations

Citations per year for Zhi Wei1989: 1 citations1996: 1 citations2002: 1 citations2003: 1 citations2005: 1 citations2006: 3 citations2007: 12 citations2008: 17 citations2009: 28 citations2010: 46 citations2011: 31 citations2012: 41 citations2013: 137 citations2014: 256 citations2015: 271 citations2016: 245 citations2017: 271 citations2018: 341 citations2019: 951 citations2020: 1,049 citations2021: 1,117 citations2022: 998 citations2023: 756 citations2024: 1,005 citations2025: 586 citations2026: 77 citations1990–1995: no citations, so these years are not shown1997–2001: no citations, so these years are not shown2004: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,349 citing papers, 23.8% of this breakdownChina: 2,030 citing papers, 14.5% of this breakdownUnited Kingdom: 1,010 citing papers, 7.2% of this breakdownGermany: 670 citing papers, 4.8% of this breakdownCanada: 551 citing papers, 3.9% of this breakdownItaly: 462 citing papers, 3.3% of this breakdownAustralia: 461 citing papers, 3.3% of this breakdownNetherlands: 433 citing papers, 3.1% of this breakdownFrance: 428 citing papers, 3% of this breakdownSpain: 329 citing papers, 2.3% of this breakdownSweden: 291 citing papers, 2.1% of this breakdownJapan: 251 citing papers, 1.8% of this breakdown
0%23.8%Other 26.9%

Fields

  • Biochemistry, Genetics and Molecular Biology48.9%
  • Medicine25.1%
  • Immunology and Microbiology7.6%
  • Computer Science5.8%
  • Neuroscience3%
  • Engineering2.2%
  • Other7.4%

Topics

  • Gut microbiota and health3.8%
  • Inflammatory Bowel Disease3.7%
  • Genetic Associations and Epidemiology3%
  • Cancer Immunotherapy and Biomarkers2.3%
  • Single-cell and spatial transcriptomics2.2%
  • Gene expression and cancer classification1.9%
  • Other83.1%

Coauthors

All papers

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  1. Host–microbe interactions have shaped the genetic architecture of inflammatory bowel disease

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Gabrielle Boucher, Stephan Brand, Carsten Büning, Ariella Cohain, Sven Cichon, Mauro D’Amato, Dirk de Jong, Kathy L. Devaney, Marla C. Dubinsky, Cathryn Edwards, David Ellinghaus, Lynnette Ferguson, Denis Franchimont, Karin Fransén, Richard B. Gearry, Michel Georges, Christian Gieger, Jürgen Glas, Talin Haritunians, Ailsa Hart, Chris Hawkey, Matija Hedl, Xinli Hu, Tom H. Karlsen, Limas Kupčinskas, Subra Kugathasan, Anna Latiano, Debby Laukens, Ian C. Lawrance, Charlie W. Lees, Édouard Louis, Gillian Mahy, John Mansfield, Angharad R. Morgan, Craig Mowat, William G. Newman, Orazio Palmieri, Cyriel Y. Ponsioen, Uroš Potočnik, Natalie J. Prescott, Miguel Regueiro, Jerome I. Rotter, Richard K. Russell, Jeremy Sanderson, Miquel Sans, Jack Satsangi, Stefan Schreiber, Lisa A. Simms, Jurgita Šventoraitytė, Stephan R. Targan, Kent D. Taylor, Mark Tremelling, Hein W. Verspaget, Martine De Vos, Cisca Wijmenga, David C. Wilson, Juliane Winkelmann, Ramnik J. Xavier, Sebastian Zeißig, Bin Zhang, Hu Zhang, Hongyu Zhao, Mark S. Silverberg, Vito Annese, Håkon Håkonarson, Steven R. Brant, Graham Radford‐Smith, Christopher G. Mathew, John D. Rioux, Eric E. Schadt and 6 more - Nature 2012 cited by 4,917

  2. Clustering single-cell RNA-seq data with a model-based deep learning approach

    Authors: , , , - Nature Machine Intelligence, Nat. Mach. Intell. 2019 cited by 442

  3. Analysis of shared heritability in common disorders of the brain

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , M. Ilyas Kamboh, Eric B. Larson, Ekaterina Rogaeva, Peter St George‐Hyslop, Håkon Håkonarson, Walter A. Kukull, Lindsay A. Farrer, Lisa L. Barnes, Thomas G. Beach, F. Yesim Demirci, Elizabeth Head, Christine M. Hulette, Gregory A. Jicha, John S.K. Kauwe, Jeffrey A. Kaye, James B. Leverenz, Allan I. Levey, Andrew P. Lieberman, V. Shane Pankratz, Wayne W. Poon, Joseph F. Quinn, Andrew J. Saykin, Lon S. Schneider, Amanda Smith, Joshua A. Sonnen, Robert A. Stern, Vivianna M. Van Deerlin, Linda J. Van Eldik, Denise Harold, Giancarlo Russo, David C. Rubinsztein, Anthony Bayer, Magda Tsolaki, Petra Proitsi, Nick C. Fox, Harald Hampel, Michael J. Owen, Simon Mead, Peter Passmore, Kevin Morgan, Markus M. Nöthen, Jonathan M. Schott, Martin N. Rossor, Michelle K. Lupton, Per Hoffmann, Johannes Kornhuber, Brian Lawlor, Andrew McQuillin, Ammar Al‐Chalabi, Joshua C Bis, Agustı́n Ruiz, Merçé Boada, Sudha Seshadri, Alexa Beiser, Kenneth Rice, Sven J. van der Lee, Philip L. De Jager, Daniel H. Geschwind, Matthias Riemenschneider, Steffi G. Riedel‐Heller, Jerome I. Rotter, Gerhard Ransmayr, Bradley T. Hyman, Carlos Cruchaga, Montserrat Alegret, Bendik S. Winsvold, Priit Palta, Kai-How Farh, Ester Cuenca-León, Nicholas A. Furlotte and 477 more - Science 2018 cited by 2,050

  4. Ex Vivo Profiling of PD-1 Blockade Using Organotypic Tumor Spheroids

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Lauren Keogh, María Anguiano, Lance Stapleton, Zhiheng Jia, Michal Barzily-Rokni, Israel Cañadas, Tran C. Thai, Marc R. Hammond, Raven Vlahos, Eric S. Wang, Hua Zhang, Shuai Li, Glenn J. Hanna, Wei Huang, Mai P. Hoang, Adriano Piris, Jean-Pierre Eliane, Anat Stemmer‐Rachamimov, Lisa Cameron, Mei-Ju Su, Parin Shah, Benjamin Izar, Manisha Thakuria, Nicole R. LeBoeuf, Guilherme Rabinowits, Viswanath Gunda, Sareh Parangi, James M. Cleary, Brian C. Miller, Shunsuke Kitajima, Rohit Thummalapalli, Benchun Miao, Thanh U. Barbie, Vivek Sivathanu, Joshua A. Wong, William G. Richards, Raphael Bueno, Charles H. Yoon, Juan J. Miret, Meenhard Herlyn, Levi A. Garraway, Eliezer M. Van Allen, Gordon J. Freeman, Paul T. Kirschmeier, Jochen H. Lorch, Patrick A. Ott, F. Stephen Hodi, Keith T. Flaherty, Roger D. Kamm, Genevieve M. Boland, Kwok‐Kin Wong, David Dornan, Cloud P. Paweletz, David A. Barbie - Cancer Discovery 2017 cited by 585

  5. Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma

    Authors: , , , , , , , , , , , , , - Nature Medicine 2018 cited by 817

  6. Clustering of single-cell multi-omics data with a multimodal deep learning method

    Authors: , , , - Nature Communications 2022 cited by 119

  7. Paneth Cell-Derived Lysozyme Defines the Composition of Mucolytic Microbiota and the Inflammatory Tone of the Intestine

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - Immunity 2020 cited by 233

  8. Model-based deep embedding for constrained clustering analysis of single cell RNA-seq data

    Authors: , , , , - Nature Communications 2021 cited by 148

  9. Tumor innate immunity primed by specific interferon-stimulated endogenous retroviruses

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Lynnette Marie Sholl, Ewa Sicińska, Jacob Sands, Scott J. Rodig, Kwok‐Kin Wong, Cloud P. Paweletz, Hideo Watanabe, David A. Barbie - Nature Medicine 2018 cited by 317

  10. Distinct Microbial Signatures Associated With Different Breast Cancer Types

    Authors: , , , , , , , , - Frontiers in Microbiology 2018 cited by 282

  11. Prognostic correlations with the microbiome of breast cancer subtypes

    Authors: , , , , , , , , - Cell Death and Disease 2021 cited by 116

  12. The ovarian cancer oncobiome

    Authors: , , , , , , , - Oncotarget 2017 cited by 201

  13. A Fatty Acid Oxidation-dependent Metabolic Shift Regulates the Adaptation of BRAF -mutated Melanoma to MAPK Inhibitors

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - Clinical Cancer Research 2019 cited by 130

  14. Dependency-aware deep generative models for multitasking analysis of spatial omics data

    Authors: , , , , - Nature Methods 2024 cited by 52

  15. Very low mutation burden is a feature of inflamed recurrent glioblastomas responsive to cancer immunotherapy

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Nature Communications 2021 cited by 124

  16. ST-Trader: A Spatial-Temporal Deep Neural Network for Modeling Stock Market Movement

    Authors: , , , - IEEE/CAA Journal of Automatica Sinica, IEEE CAA J. Autom. Sinica 2021 cited by 101

  17. A Distance-Based Weighted Undersampling Scheme for Support Vector Machines and its Application to Imbalanced Classification

    Authors: , , , , , - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2017 cited by 155

  18. A Unified Approach to Targeting the Lysosome's Degradative and Growth Signaling Roles

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jeffrey D. Winkler, Ravi K. Amaravadi - Cancer Discovery 2017 cited by 206

  19. Targeting mitochondrial biogenesis to overcome drug resistance to MAPK inhibitors

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Shijie Zha, Qin Liu, Patricia Brafford, Ashani T. Weeraratna, Michael A. Davies, Jennifer A. Wargo, Narayan G. Avadhani, Yiling Lu, Gordon B. Mills, Dario C. Altieri, Keith T. Flaherty, Meenhard Herlyn - Journal of Clinical Investigation 2016 cited by 299

  20. Suppression of Nucleotide Metabolism Underlies the Establishment and Maintenance of Oncogene-Induced Senescence

    Authors: , , , , , , , , , , - Cell Reports 2013 cited by 295

  21. Microbiome signatures in prostate cancer

    Authors: , , , , , , , , - Carcinogenesis 2019 cited by 123

  22. DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-Resolution

    Authors: , , , , , - Image and Vision Computing, Image Vis. Comput. 2025 cited by 16

  23. The Emerging Role of PRMT6 in Cancer

    Authors: , , , , , , - Frontiers in Oncology 2022 cited by 70

  24. HLA-B*13:01and the Dapsone Hypersensitivity Syndrome

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Yonghu Sun, Yong Ning, Zhi Wei, Shuxin Chen, Xianchao Chen, Zhenjie Zhang, Y.-X. Liu, Sara L. Pulit, Wenbin Wu, Z. Zheng, Ruiyue Yang, Heng Long, Zhensheng Liu, J.-Q. Wang, M. Li, L.-H. Zhang, H. Wang, L.-M. Wang, Peng Xiao, J. L. Li, Zhenlie Huang, Jinwen Huang, Z. Li, Jing Liu, Li Xiong, Jun Yang, Xiaodong Wang, Dongmei Yu, XingFen Lu, Guozhong Zhou, Yan Lu, Jin-Ke Shen, G.-C. Zhang, Yi‐Xin Zeng, Paul I. W. de Bakker, Shen‐Ming Chen, J.-J. Liu - New England Journal of Medicine 2013 cited by 311