Ara Darzi

Active 1993–2026

685
Papers
78,732
Citations
153
h-index
635
i10-index

Citations

Citations per year for Ara Darzi1922: 1 citations1966: 1 citations1970: 2 citations1976: 1 citations1977: 2 citations1979: 2 citations1981: 1 citations1982: 1 citations1983: 3 citations1984: 1 citations1986: 4 citations1988: 3 citations1990: 1 citations1993: 1 citations1994: 1 citations1995: 13 citations1996: 23 citations1997: 33 citations1998: 25 citations1999: 27 citations2000: 21 citations2001: 72 citations2002: 52 citations2003: 96 citations2004: 98 citations2005: 157 citations2006: 221 citations2007: 366 citations2008: 478 citations2009: 461 citations2010: 519 citations2011: 575 citations2012: 641 citations2013: 628 citations2014: 691 citations2015: 760 citations2016: 679 citations2017: 731 citations2018: 685 citations2019: 1,866 citations2020: 2,384 citations2021: 2,803 citations2022: 2,585 citations2023: 2,082 citations2024: 2,828 citations2025: 1,613 citations2026: 230 citations1923–1965: no citations, so these years are not shown1967–1969: no citations, so these years are not shown1971–1975: no citations, so these years are not shown1978: no citations, so this year is not shown1980: no citations, so this year is not shown1985: no citations, so this year is not shown1987: no citations, so this year is not shown1989: no citations, so this year is not shown1991–1992: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 6,363 citing papers, 20.4% of this breakdownUnited Kingdom: 4,280 citing papers, 13.7% of this breakdownChina: 1,967 citing papers, 6.3% of this breakdownGermany: 1,515 citing papers, 4.8% of this breakdownCanada: 1,489 citing papers, 4.8% of this breakdownItaly: 1,232 citing papers, 3.9% of this breakdownAustralia: 1,176 citing papers, 3.8% of this breakdownNetherlands: 1,067 citing papers, 3.4% of this breakdownFrance: 874 citing papers, 2.8% of this breakdownSpain: 726 citing papers, 2.3% of this breakdownSwitzerland: 631 citing papers, 2% of this breakdownJapan: 619 citing papers, 2% of this breakdown
0%20.4%Other 29.8%

Fields

  • Medicine54.6%
  • Computer Science10.1%
  • Health Professions8.2%
  • Biochemistry, Genetics and Molecular Biology7.4%
  • Engineering6.9%
  • Psychology3%
  • Other9.8%

Topics

  • Surgical Simulation and Training5.1%
  • Artificial Intelligence in Healthcare and Education2.8%
  • Augmented Reality Applications1.9%
  • Simulation-Based Education in Healthcare1.8%
  • AI in cancer detection1.7%
  • Soft Robotics and Applications1.7%
  • Other85%

Coauthors

All papers

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  1. International evaluation of an AI system for breast cancer screening

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Shravya Shetty - Nature 2020 cited by 3,245

  2. Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis

    Authors: , , , , , , , - npj Digital Medicine, npj Digit. Medicine 2021 cited by 884

  3. Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , John Fletcher, Dina N. Paltoo, Elaine Manna, Gary Price, Gary S. Collins, Hugh Harvey, James Matcham, João Monteiro, M. Khair ElZarrad, Lavinia Ferrante di Ruffano, Luke Oakden‐Rayner, Melissa D. McCradden, Pearse A. Keane, Richard S. Savage, Robert Golub, Rupa Sarkar, Samuel Rowley - Nature Medicine 2020 cited by 1,053

  4. Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , David Moher, Dina N. Paltoo, Elaine Manna, Gary Price, Gary S. Collins, Hugh Harvey, James Matcham, João Monteiro, M. Khair ElZarrad, Lavinia Ferrante di Ruffano, Luke Oakden‐Rayner, Melissa D. McCradden, Pearse A. Keane, Richard S. Savage, Robert Golub, Rupa Sarkar, Samuel Rowley - Nature Medicine 2020 cited by 608

  5. Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Cynthia D. Mulrow, Luke Oakden‐Rayner, Dina N. Paltoo, Maria Beatrice Panico, Gary Price, Samuel Rowley, Richard S. Savage, Rupa Sarkar, Sebastian J. Vollmer, Christopher Yau - The Lancet Digital Health 2020 cited by 426

  6. Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Xiaoxuan Liu - BMJ Open 2021 cited by 312

  7. A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Stephanie Chang, Xiaoxuan Liu, Susan Mallett, Shravya Shetty, Alastair K. Denniston, Gary S. Collins, David Moher, Penny Whiting, Patrick M. Bossuyt, Ara Darzi - Nature Medicine 2021 cited by 242

  8. LLM-based agentic systems in medicine and healthcare

    Authors: , , , , , , , - Nature Machine Intelligence, Nat. Mac. Intell. 2024 cited by 139

  9. Persistent COVID-19 symptoms in a community study of 606,434 people in England

    Authors: , , , , , , , - Nature Communications 2022 cited by 440

  10. Systematic review of the application of the plan–do–study–act method to improve quality in healthcare

    Authors: , , , , , - BMJ Quality & Safety 2013 cited by 1,844

  11. Soft Robotics in Minimally Invasive Surgery

    Authors: , , - Soft Robotics 2019 cited by 525

  12. PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Nature Medicine 2023 cited by 129

  13. Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group

    Authors: , , , , , , , , , , , , , , , , , - Nature Medicine 2020 cited by 258

  14. Machine learning for technical skill assessment in surgery: a systematic review

    Authors: , , , , , , , - npj Digital Medicine, npj Digit. Medicine 2022 cited by 151

  15. Quality assessment standards in artificial intelligence diagnostic accuracy systematic reviews: a meta-research study

    Authors: , , , , , , - npj Digital Medicine, npj Digit. Medicine 2022 cited by 109

  16. Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review

    Authors: , , , , , - BMJ Health & Care Informatics 2021 cited by 151

  17. Ambient temperature and mental health: a systematic review and meta-analysis

    Authors: , , , , , , , - The Lancet Planetary Health 2023 cited by 246

  18. Eye-tracking technology in medical education: A systematic review

    Authors: , , , , , - Medical Teacher 2017 cited by 223

  19. Using Artificial Intelligence-Enhanced Sensing and Wearable Technology in Sports Medicine and Performance Optimisation

    Authors: , , , , , , , , - Sensors 2022 cited by 123

  20. Proving the Effectiveness of the Fundamentals of Robotic Surgery (FRS) Skills Curriculum

    Authors: , , , , , , , , , , , , , , , , , , , - Annals of Surgery 2019 cited by 211

  21. A retrospective impact analysis of the WannaCry cyberattack on the NHS

    Authors: , , , , , - npj Digital Medicine, npj Digit. Medicine 2019 cited by 192

  22. The Impact of Electronic Health Record Interoperability on Safety and Quality of Care in High-Income Countries: Systematic Review

    Authors: , , , , - Journal of Medical Internet Research 2022 cited by 190

  23. Gut microbiome-host interactions in health and disease

    Authors: , , - Genome Medicine 2011 cited by 701

  24. The impact of stress on surgical performance: A systematic review of the literature

    Authors: , , , , , - Surgery 2009 cited by 670