Fiona J. Gilbert

Active 1986–2026

146
Papers
19,093
Citations
66
h-index
119
i10-index

Citations

Citations per year for Fiona J. Gilbert1977: 1 citations1987: 4 citations1988: 4 citations1989: 7 citations1990: 11 citations1991: 7 citations1992: 6 citations1993: 3 citations1994: 3 citations1995: 4 citations1997: 1 citations1998: 2 citations1999: 2 citations2000: 6 citations2001: 14 citations2002: 26 citations2003: 38 citations2004: 45 citations2005: 40 citations2006: 70 citations2007: 64 citations2008: 73 citations2009: 73 citations2010: 114 citations2011: 87 citations2012: 107 citations2013: 67 citations2014: 80 citations2015: 95 citations2016: 107 citations2017: 136 citations2018: 171 citations2019: 432 citations2020: 725 citations2021: 853 citations2022: 888 citations2023: 798 citations2024: 965 citations2025: 624 citations2026: 100 citations1978–1986: no citations, so these years are not shown1996: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,067 citing papers, 19.6% of this breakdownUnited Kingdom: 1,112 citing papers, 10.5% of this breakdownChina: 822 citing papers, 7.8% of this breakdownGermany: 610 citing papers, 5.8% of this breakdownItaly: 544 citing papers, 5.2% of this breakdownNetherlands: 445 citing papers, 4.2% of this breakdownCanada: 401 citing papers, 3.8% of this breakdownAustralia: 337 citing papers, 3.2% of this breakdownFrance: 301 citing papers, 2.8% of this breakdownIndia: 246 citing papers, 2.3% of this breakdownSpain: 228 citing papers, 2.2% of this breakdownSwitzerland: 225 citing papers, 2.1% of this breakdown
0%19.6%Other 30.5%

Fields

  • Medicine53.7%
  • Computer Science21.8%
  • Biochemistry, Genetics and Molecular Biology14.6%
  • Engineering2.8%
  • Health Professions1%
  • Social Sciences1%
  • Other5.1%

Topics

  • AI in cancer detection8.7%
  • Radiomics and Machine Learning in Medical Imaging8.4%
  • Artificial Intelligence in Healthcare and Education4.6%
  • MRI in cancer diagnosis4.6%
  • Breast Cancer Treatment Studies3.7%
  • Digital Radiography and Breast Imaging3.6%
  • Other66.4%

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. Federated learning for predicting clinical outcomes in patients with COVID-19

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Keith J. Dreyer, Krishna Juluru, Kristopher Kersten, Marcio Aloísio Bezerra Cavalcanti Rockenbach, Marius George Linguraru, Masoom A. Haider, Meena AbdelMaseeh, Nicola Rieke, Pablo F. Damasceno, Pedro Mário Cruz e Silva, Po‐Chuan Wang, Sheng Xu, Shuichi Kawano, Sira Sriswasdi, Soo Young Park, Thomas M. Grist, Varun Buch, Watsamon Jantarabenjakul, Weichung Wang, Won Young Tak, Xiang Li, Xihong Lin, Young Joon Kwon, Abood Quraini, Andrew Feng, Andrew N. Priest, Barış Türkbey, Benjamin S. Glicksberg, Bernardo C. Bizzo, Byung Seok Kim, Carlos Tor-Díez, Chia‐Cheng Lee, Chia‐Jung Hsu, Chin Lin, Chiu-Ling Lai, Christopher P. Hess, Colin B. Compas, Deepeksha Bhatia, Eric K. Oermann, Evan Leibovitz, Hisashi Sasaki, Hitoshi Mori, Isaac Yang, Jae Ho Sohn, Krishna Nand Keshava Murthy, Li‐Chen Fu, Matheus R. F. Mendonça, Mike Fralick, Min Kyu Kang, Mohammad Adil, Natalie Gangai, Peerapon Vateekul, Pierre Elnajjar, Sarah Hickman, Sharmila Majumdar, Shelley McLeod, Sheridan Reed, Stefan Gräf, Stephanie A. Harmon, Tatsuya Kodama, Thanyawee Puthanakit, Tony Mazzulli, Vitor Lima de Lavor, Yothin Rakvongthai, Yu Rim Lee, Yuhong Wen, Fiona J. Gilbert, Mona G. Flores, Quanzheng Li - Nature Medicine 2021 cited by 720

  3. Breast cancer screening in women with extremely dense breasts recommendations of the European Society of Breast Imaging (EUSOBI)

    Authors: , , , , , , , , , , , , , , , , , , , , , - European Radiology 2022 cited by 403

  4. Imaging biomarker roadmap for cancer studies

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Erich P. Huang, Brian Hutton, Edward F. Jackson, Gordon C. Jayson, Andrew Jones, Dow‐Mu Koh, Denis Lacombe, Philippe Lambin, Nathalie Lassau, Martin O. Leach, Ting-Yim Lee, Edward Leen, Jason S. Lewis, Yan Liu, Mark F. Lythgoe, Prakash Manoharan, Ross J. Maxwell, Kenneth A. Miles, Bruno Morgan, Steve Morris, Tony Ng, Anwar R. Padhani, Geoff J.M. Parker, Mike Partridge, Arvind P. Pathak, Andrew C. Peet, Shonit Punwani, Andrew R. Reynolds, Simon P. Robinson, Lalitha Shankar, Ricky A. Sharma, Dmitry Soloviev, Sigrid Stroobants, Daniel C. Sullivan, Stuart A. Taylor, Paul S. Tofts, Gillian M. Tozer, Marcel van Herk, Simon Walker‐Samuel, James Wason, Kaye J. Williams, Paul Workman, Thomas E. Yankeelov, Kevin M. Brindle, Lisa M. McShane, Alan Jackson, John C. Waterton - Nature Reviews Clinical Oncology 2016 cited by 1,078

  5. Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis

    Authors: , , , , , , , , , , , , - Radiology 2023 cited by 173

  6. Artificial intelligence in breast imaging

    Authors: , , , , - Clinical Radiology 2019 cited by 275

  7. Diffusion-weighted imaging of the breast—a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group

    Authors: , , , , , , , , , , , , , - European Radiology 2019 cited by 420

  8. Germline BRCA mutation and outcome in young-onset breast cancer (POSH): a prospective cohort study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - The Lancet Oncology 2018 cited by 495

  9. Cost-effectiveness and Benefit-to-Harm Ratio of Risk-Stratified Screening for Breast Cancer

    Authors: , , , - JAMA Oncology 2018 cited by 289

  10. Machine Learning for Workflow Applications in Screening Mammography: Systematic Review and Meta-Analysis

    Authors: , , , , , , , , - Radiology 2021 cited by 120

  11. Breast MRI: EUSOBI recommendations for women’s information

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - European Radiology 2015 cited by 465

  12. Study protocol comparing the ethical, psychological and socio-economic impact of personalised breast cancer screening to that of standard screening in the “My Personal Breast Screening” (MyPeBS) randomised clinical trial

    Authors: , , , , , , , , , , , , , , , - BMC Cancer 2022 cited by 102

  13. Adoption of artificial intelligence in breast imaging: evaluation, ethical constraints and limitations

    Authors: , , - British Journal of Cancer 2021 cited by 107

  14. Imaging breast cancer using hyperpolarized carbon-13 MRI

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Mark T. Ross, Bristi Basu, Richard D. Baird, David J. Lomas, Evis Sala, James Wason, Oscar M. Rueda, Suet‐Feung Chin, Ian B. Wilkinson, Martin J. Graves, Jean Abraham, Fiona J. Gilbert, Carlos Caldas, Kevin M. Brindle - National Academy of Sciences, Proceedings of the National Academy of Sciences 2020 cited by 205

  15. Breast ultrasound: recommendations for information to women and referring physicians by the European Society of Breast Imaging

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , - Insights into Imaging 2018 cited by 185

  16. A review of a strategic roadmapping exercise to advance clinical translation of photoacoustic imaging: From current barriers to future adoption

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , - Photoacoustics 2023 cited by 66

  17. Somatostatin Receptor PET/MR Imaging of Inflammation in Patients With Large Vessel Vasculitis and Atherosclerosis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , David E. Newby, Zahi A. Fayad, Gary Reynolds, Ann W Morgan, Eric O. Aboagye, Anthony P. Davenport, Helle F. Jørgensen, Ziad Mallat, Martin R. Bennett, James E. Peters, James H.F. Rudd, Justin C. Mason, Jason M. Tarkin - Journal of the American College of Cardiology 2023 cited by 70

  18. Image-guided breast biopsy and localisation: recommendations for information to women and referring physicians by the European Society of Breast Imaging

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Ruud M. Pijnappel, Katja Pinker, Simone Schiaffino, Tamar Sella, Isabelle Thomassin‐Naggara, A. Tardivon, Chantal Van Ongeval, Matthew Wallis, Sophia Zackrisson, Gábor Forrai, Julia Camps Herrero, Francesco Sardanelli - Insights into Imaging 2020 cited by 185

  19. Magnetic resonance imaging of the breast: Recommendations from the EUSOMA working group

    Authors: , , , , , , , , , , , , , , , , , , , , , , - European Journal of Cancer 2010 cited by 975

  20. Sodium homeostasis in the tumour microenvironment

    Authors: , , , , , , , , , , - Biochimica et Biophysica Acta (BBA) - Reviews on Cancer 2019 cited by 146

  21. Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations

    Authors: , , , , , , - Medical Image Analysis, Medical Image Anal. 2022 cited by 27

  22. Prevention and screening in BRCA mutation carriers and other breast/ovarian hereditary cancer syndromes: ESMO Clinical Practice Guidelines for cancer prevention and screening

    Authors: , , , , , , - Annals of Oncology 2016 cited by 404

  23. Systematic review and meta-analysis of the reliability and discriminative validity of cartilage compositional MRI in knee osteoarthritis

    Authors: , , , , , - Osteoarthritis and Cartilage 2018 cited by 152

  24. Imaging tumour hypoxia with positron emission tomography

    Authors: , , , , , , , , , - British Journal of Cancer 2014 cited by 328