Zichen Wang

Active 1999–2026

333
Papers
38,278
Citations
63
h-index
179
i10-index

Citations

Citations per year for Zichen Wang1935: 2 citations1974: 2 citations1976: 1 citations1982: 1 citations1986: 1 citations1993: 2 citations1994: 1 citations1999: 1 citations2000: 14 citations2001: 23 citations2002: 20 citations2003: 19 citations2004: 8 citations2005: 8 citations2006: 10 citations2007: 17 citations2008: 10 citations2009: 12 citations2010: 8 citations2011: 6 citations2012: 18 citations2013: 28 citations2014: 34 citations2015: 68 citations2016: 137 citations2017: 256 citations2018: 385 citations2019: 1,173 citations2020: 1,644 citations2021: 1,874 citations2022: 1,700 citations2023: 1,436 citations2024: 2,493 citations2025: 1,586 citations2026: 220 citations2027: 1 citations1936–1973: no citations, so these years are not shown1975: no citations, so this year is not shown1977–1981: no citations, so these years are not shown1983–1985: no citations, so these years are not shown1987–1992: no citations, so these years are not shown1995–1998: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,812 citing papers, 25.7% of this breakdownChina: 2,479 citing papers, 13.3% of this breakdownUnited Kingdom: 1,177 citing papers, 6.3% of this breakdownGermany: 1,101 citing papers, 5.9% of this breakdownItaly: 584 citing papers, 3.1% of this breakdownCanada: 582 citing papers, 3.1% of this breakdownFrance: 558 citing papers, 3% of this breakdownIndia: 472 citing papers, 2.5% of this breakdownAustralia: 447 citing papers, 2.4% of this breakdownSpain: 441 citing papers, 2.4% of this breakdownNetherlands: 426 citing papers, 2.3% of this breakdownJapan: 418 citing papers, 2.2% of this breakdown
0%25.7%Other 27.8%

Fields

  • Biochemistry, Genetics and Molecular Biology38.4%
  • Medicine30.9%
  • Computer Science9%
  • Immunology and Microbiology6.4%
  • Neuroscience4.8%
  • Engineering3.8%
  • Other6.7%

Topics

  • Bioinformatics and Genomic Networks3%
  • Single-cell and spatial transcriptomics2.8%
  • Epigenetics and DNA Methylation2.1%
  • Computational Drug Discovery Methods1.8%
  • RNA modifications and cancer1.6%
  • Cancer-related molecular mechanisms research1.4%
  • Other87.3%

Coauthors

All papers

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  1. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update

    Authors: , , , , , , , , , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2016 cited by 11,707

  2. Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool

    Authors: , , , , , , , - BMC Bioinformatics, BMC Bioinform. 2013 cited by 8,412

  3. PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

    Authors: , , , , , , , , , , - Workshop on Large AI Systems and Models with Privacy and Safety Analysis, LAMPS@CCS 2023 cited by 274

  4. ChEA3: transcription factor enrichment analysis by orthogonal omics integration

    Authors: , , , , , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2019 cited by 1,204

  5. Single-cell immune landscape of human atherosclerotic plaques

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Nature Medicine 2019 cited by 971

  6. The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins

    Authors: , , , , , , - Database, Database J. Biol. Databases Curation 2016 cited by 1,677

  7. Obesity causes mitochondrial fragmentation and dysfunction in white adipocytes due to RalA activation

    Authors: , , , , , , , , , , , , , , , , , , , , , - Nature Metabolism 2024 cited by 140

  8. GeneCompass: deciphering universal gene regulatory mechanisms with a knowledge-informed cross-species foundation model

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Xingjian He, Liqun Zhong, Jiaheng Zhou, Zijian Wang, Qingqing Long, Ping Xu, Xin Li, Hongmei Wang, Baoyang Hu, Wei Li, Fei Gao, Jingtao Guo, Leqian Yu, Qi Gu, Weiwei Zhai, Zhengting Zou, Guihai Feng, Wenhao Liu, Yao Tian, Fang Chen, Jingxi Dong, Yana Liu, Jingqi Yu, Wenhui Wu, Xinxin Lin, Cong Li, Yu Zou, Yongshun Ren, Fan Li, Yixiao Zhao, Yike Xin, Longfei Han, Shuyang Jiang, Kai Ma, Qicheng Chen, Haoyuan Wang, Huanhuan Wu, Chaofan He, Yilong Hu, Shuyu Guo, Yiyun Li, Yuanchun Zhou, Yangang Wang, Xuezhi Wang, Pengfei Wang, Fei Li, Zhen Meng, Zaitian Wang, Ping Xu, Wentao Cui, Zhilong Hu, Huimin He, Shan Zong, Jiajia Wang, Yan Chen, Chunyang Zhang, Chengrui Wang, Ran Zhang, Meng Xiao, Yining Wang, Yiqiang Chen, Yi Zhao, Xiaodong Yang, Dechao Bu, Xin Qin, Jiaxin Qin, Zhaohui Yang, Chenhao Li, Zhufeng Xu, Zeyuan Zhang and 49 more - Cell Research 2024 cited by 104

  9. Immobilization of lipase on hydrophobic MOF synthesized simultaneously with oleic acid and application in hydrolysis of natural oils for improving unsaturated fatty acid production

    Authors: , , , , , , , , , - International Journal of Biological Macromolecules 2023 cited by 95

  10. The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Michal Kouril, John F. Reichard, Siva Sivaganesan, Mario Medvedovic, Jarek Meller, Rick J. Koch, Marc R. Birtwistle, Ravi Iyengar, Eric A. Sobie, Evren U. Azeloglu, Julia Kaye, Jeannette M. Osterloh, Kelly Haston, Jaslin Kalra, Steve Finkbiener, Jonathan Li, Pamela Milani, Miriam Adam, Renan Escalante-Chong, Karen Sachs, Alex Lenail, Divya Ramamoorthy, Ernest Fraenkel, Gavin Daigle, Uzma Hussain, Alyssa Coye, Jeffrey Rothstein, Dhruv Sareen, Loren Ornelas, Maria G. Bañuelos, Berhan Mandefro, Ritchie Ho, Clive N. Svendsen, Ryan G. Lim, Jennifer Stocksdale, Malcolm Casale, Terri G. Thompson, Jie Wu, Leslie M. Thompson, Victoria Dardov, Vidya Venkatraman, Andrea Matlock, Jennifer E. Van Eyk, Jacob D. Jaffe, Malvina Papanastasiou, Aravind Subramanian, Todd R. Golub, Sean D. Erickson, Mohammad Fallahi‐Sichani, Marc Hafner, Nathanael S. Gray, Jia‐Ren Lin, Caitlin E. Mills, Jeremy L. Muhlich, Mario Niepel, Caroline E. Shamu, Elizabeth H. Williams, David M. Wrobel, Peter K. Sorger, Laura M. Heiser, Joe W. Gray, James E. Korkola, Gordon B. Mills, Mark A. LaBarge, Heidi S. Feiler, Mark Dane, Elmar Bucher, Michel Nederlof, Damir Sudar, Sean M. Gross and 7 more - Cell Systems 2017 cited by 449

  11. LM-GVP: an extensible sequence and structure informed deep learning framework for protein property prediction

    Authors: , , , , , , , , , , - Scientific Reports 2022 cited by 89

  12. DiffusionPDE: Generative PDE-Solving Under Partial Observation

    Authors: , , , - Advances in Neural Information Processing Systems 37, NeurIPS 2024 cited by 119

  13. Reinforcement-Learning-Assisted Multi-UAV Task Allocation and Path Planning for IIoT

    Authors: , , , , - IEEE Internet of Things Journal, IEEE Internet Things J. 2024 cited by 47

  14. L1000CDS2: LINCS L1000 characteristic direction signatures search engine

    Authors: , , , , , , , , , , , , , , , - npj Systems Biology and Applications 2016 cited by 384

  15. Mesenchymal stem cells and macrophages and their interactions in tendon-bone healing

    Authors: , , , , , , , , - Journal of Orthopaedic Translation 2023 cited by 108

  16. Differential cytokine contributions of perivascular haematopoietic stem cell niches

    Authors: , , , , , , , - Nature Cell Biology 2017 cited by 424

  17. Enzyme hybrid nanoflowers and enzyme@metal–organic frameworks composites: fascinating hybrid nanobiocatalysts

    Authors: , , , , , , , , - Critical Reviews in Biotechnology 2023 cited by 90

  18. Polycomb repressive complex 2 (PRC2) silences genes responsible for neurodegeneration

    Authors: , , , , , , , , , , , , - Nature Neuroscience 2016 cited by 240

  19. Improving preeclampsia risk prediction by modeling pregnancy trajectories from routinely collected electronic medical record data

    Authors: , , , , , , , , , , , , , , , , - npj Digital Medicine, npj Digit. Medicine 2022 cited by 76

  20. Graph Neural Prompting with Large Language Models

    Authors: , , , , , , , - AAAI Conference on Artificial Intelligence 2024 cited by 56

  21. High resolution histopathology image generation and segmentation through adversarial training

    Authors: , , , , , - Medical Image Analysis, Medical Image Anal. 2021 cited by 53

  22. Extraction and analysis of signatures from the Gene Expression Omnibus by the crowd

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Radmila D Todoric, Udi Rubin, Apostolos Malatras, Carl T. Fulp, John A. Galindo, Ruta Motiejunaite, Christoph Jüschke, Philip C. Dishuck, Katharina Lahl, Mohieddin Jafari, Sara Aibar, Apostolos Zaravinos, Linda H. Steenhuizen, Lindsey R. Allison, Pablo Gamallo, Fernando de Andrés, Tyler Dae Devlin, Vicente Pérez-García, Avi Ma’ayan - Nature Communications 2016 cited by 299

  23. Toward heterogeneous information fusion: bipartite graph convolutional networks for in silico drug repurposing

    Authors: , , - Bioinformatics, Bioinform. 2020 cited by 92

  24. Soft Sensor of the Key Effluent Index in the Municipal Wastewater Treatment Process Based on Transformer

    Authors: , , - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2023 cited by 43