Jie Ma

Active 1971–2026

1,320
Papers
75,559
Citations
126
h-index
805
i10-index

Citations

Citations per year for Jie Ma1882: 1 citations1968: 1 citations1971: 2 citations1976: 1 citations1991: 1 citations1993: 2 citations1994: 1 citations1996: 2 citations1997: 3 citations1998: 2 citations1999: 2 citations2000: 4 citations2001: 3 citations2002: 4 citations2003: 5 citations2004: 8 citations2005: 8 citations2006: 10 citations2007: 19 citations2008: 31 citations2009: 34 citations2010: 61 citations2011: 76 citations2012: 128 citations2013: 183 citations2014: 209 citations2015: 277 citations2016: 410 citations2017: 472 citations2018: 486 citations2019: 1,239 citations2020: 2,950 citations2021: 3,109 citations2022: 2,805 citations2023: 2,775 citations2024: 4,462 citations2025: 3,099 citations2026: 426 citations2027: 4 citations1883–1967: no citations, so these years are not shown1969–1970: no citations, so these years are not shown1972–1975: no citations, so these years are not shown1977–1990: no citations, so these years are not shown1992: 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: 10,074 citing papers, 31.4% of this breakdownUnited States: 4,801 citing papers, 14.9% of this breakdownUnited Kingdom: 1,602 citing papers, 5% of this breakdownGermany: 1,025 citing papers, 3.2% of this breakdownIndia: 1,004 citing papers, 3.1% of this breakdownItaly: 945 citing papers, 3% of this breakdownAustralia: 796 citing papers, 2.5% of this breakdownCanada: 784 citing papers, 2.4% of this breakdownSouth Korea: 686 citing papers, 2.1% of this breakdownSpain: 677 citing papers, 2.1% of this breakdownFrance: 652 citing papers, 2% of this breakdownNetherlands: 555 citing papers, 1.7% of this breakdown
0%31.4%Other 26.6%

Fields

  • Medicine31.4%
  • Biochemistry, Genetics and Molecular Biology20.9%
  • Computer Science13%
  • Engineering10.1%
  • Immunology and Microbiology5.1%
  • Environmental Science4.1%
  • Other15.4%

Topics

  • COVID-19 Clinical Research Studies2.5%
  • Long-Term Effects of COVID-191.3%
  • Extracellular vesicles in disease1.1%
  • MicroRNA in disease regulation1.1%
  • Artificial Intelligence in Healthcare and Education1%
  • Gut microbiota and health1%
  • Other92%

Coauthors

All papers

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  1. iProX: an integrated proteome resource

    Authors: , , , , , , , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2018 cited by 2,016

  2. iProX in 2021: connecting proteomics data sharing with big data

    Authors: , , , , , , , , , , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2021 cited by 1,096

  3. A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

    Authors: , , , , , - Journal of Clinical Epidemiology 2019 cited by 1,954

  4. Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence

    Authors: , , , , , , , , , , , , - BMJ Open 2021 cited by 803

  5. Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jie Ma, Glen P. Martin, David J. McLernon, Constanza L. Andaur Navarro, Johannes B. Reitsma, Jamie C. Sergeant, Chunhu Shi, Nicole Skoetz, Luc Smits, Kym I E Snell, Matthew Sperrin, René Spijker, Ewout W. Steyerberg, Toshihiko Takada, Ioanna Tzoulaki, Sander M. J. van Kuijk, Bas C. T. van Bussel, Iwan C.C. van der Horst, Kelly Reeve, Florien S van Royen, Jan Y. Verbakel, Christine Wallisch, Jack Wilkinson, Robert Wolff, Lotty Hooft, Karel G.M. Moons, Maarten van Smeden - BMJ 2020 cited by 3,238

  6. Evaluation of clinical prediction models (part 1): from development to external validation

    Authors: , , , , , , , , , , , , - BMJ 2024 cited by 540

  7. Toripalimab plus chemotherapy in treatment-naïve, advanced esophageal squamous cell carcinoma (JUPITER-06): A multi-center phase 3 trial

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Zhanhui Miao, Meili Sun, Conghua Xie, Ying Liu, Qifeng Wang, Lina Zhao, Qi Li, Canhong Huang, Ke Jiang, Kunyu Yang, Daojun Li, Yunpeng Liu, Zhitu Zhu, Rixin Chen, Liqun Jia, Wei Li, Wangjun Liao, Hongxu Liu, Daiyuan Ma, Jie Ma, Yanru Qin, Zhihong Shi, Qichun Wei, Ke Xiao, Yan Zhang, Ying Zhang, Xin Chen, Guanghai Dai, Jianxing He, Junhe Li, Guanghui Li, Yong Liu, Zhihua Liu, Xianglin Yuan, Junping Zhang, Zhichao Fu, Yifu He, Fang Ju, Zheng Liu, Peng Tang, Tiejun Wang, Weibo Wang, Jing Zhang, Xianming Luo, Xiongwen Tang, Rena May, Hui Feng, Sheng Yao, Patricia Keegan, Rui‐Hua Xu, Feng Wang - Cancer Cell 2022 cited by 565

  8. Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review

    Authors: , , , , , , , , , , - BMJ 2021 cited by 358

  9. A super pan-genomic landscape of rice

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Quan Wang, Hongwei Lu, Zhe Wu, Shanlin Liu, Zongyi Sun, Hongliang Zhang, Longbiao Guo, Zichao Li, Yongfeng Zhou, Jiayang Li, Zuofeng Zhu, Guosheng Xiong, Jue Ruan, Qian Qian - Cell Research 2022 cited by 368

  10. SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation

    Authors: , , , , , , , , - Visual Intelligence, Vis. Intell. 2026 cited by 80

  11. From gut microbiota to host appetite: gut microbiota-derived metabolites as key regulators

    Authors: , , , , , , , , , - Microbiome 2021 cited by 286

  12. A cyclodextrin-based nanoformulation achieves co-delivery of ginsenoside Rg3 and quercetin for chemo-immunotherapy in colorectal cancer

    Authors: , , , , , , , , , , - Acta Pharmaceutica Sinica B 2021 cited by 185

  13. Periodontitis pathogen Porphyromonas gingivalis promotes pancreatic tumorigenesis via neutrophil elastase from tumor-associated neutrophils

    Authors: , , , , , , , - Gut Microbes 2022 cited by 171

  14. D- and Unnatural Amino Acid Substituted Antimicrobial Peptides With Improved Proteolytic Resistance and Their Proteolytic Degradation Characteristics

    Authors: , , , , , , - Frontiers in Microbiology 2020 cited by 245

  15. MoGCN: A Multi-Omics Integration Method Based on Graph Convolutional Network for Cancer Subtype Analysis

    Authors: , , , , , , - Frontiers in Genetics 2022 cited by 148

  16. A Review of Fish Vaccine Development Strategies: Conventional Methods and Modern Biotechnological Approaches

    Authors: , , , - Microorganisms 2019 cited by 407

  17. Applications of natural language processing in construction

    Authors: , , - Automation in Construction 2022 cited by 149

  18. Reduction of microbial diversity in grassland soil is driven by long-term climate warming

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Nature Microbiology 2022 cited by 401

  19. Enhanced Soft Label for Semi-Supervised Semantic Segmentation

    Authors: , , , , - IEEE/CVF International Conference on Computer Vision (ICCV) 2023 cited by 52

  20. Federated Learning from Pre-Trained Models: A Contrastive Learning Approach

    Authors: , , , , , - NeurIPS 2022 cited by 297

  21. A Survey on Knowledge-Oriented Retrieval-Augmented Generation

    Authors: , , , , , , , , , , , - ArXiv.org, CoRR 2025 cited by 45

  22. Granulocytic Myeloid‐Derived Suppressor Cells Promote the Stemness of Colorectal Cancer Cells through Exosomal S100A9

    Authors: , , , , , , , - Advanced Science 2019 cited by 207

  23. The Ninth Visual Object Tracking VOT2021 Challenge Results

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhenhua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Sai S. Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang and 32 more - IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) 2021 cited by 112

  24. Single-Cell Transcriptomics Reveals the Complexity of the Tumor Microenvironment of Treatment-Naive Osteosarcoma

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Frontiers in Oncology 2021 cited by 178