George D. Kitas

Active 1989–2026

Also published as
George D Kitas
201
Papers
23,526
Citations
83
h-index
199
i10-index

Citations

Citations per year for George D. Kitas1969: 1 citations1986: 1 citations1990: 4 citations1991: 15 citations1992: 10 citations1993: 4 citations1994: 13 citations1995: 8 citations1996: 14 citations1997: 9 citations1998: 10 citations1999: 10 citations2000: 10 citations2001: 6 citations2002: 15 citations2003: 16 citations2004: 2 citations2005: 24 citations2006: 33 citations2007: 39 citations2008: 55 citations2009: 78 citations2010: 135 citations2011: 113 citations2012: 108 citations2013: 146 citations2014: 150 citations2015: 199 citations2016: 170 citations2017: 117 citations2018: 154 citations2019: 647 citations2020: 901 citations2021: 985 citations2022: 925 citations2023: 630 citations2024: 956 citations2025: 556 citations2026: 41 citations1970–1985: no citations, so these years are not shown1987–1989: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 1,333 citing papers, 14.6% of this breakdownUnited Kingdom: 894 citing papers, 9.8% of this breakdownChina: 610 citing papers, 6.7% of this breakdownItaly: 590 citing papers, 6.4% of this breakdownIndia: 380 citing papers, 4.1% of this breakdownCanada: 351 citing papers, 3.8% of this breakdownGermany: 342 citing papers, 3.7% of this breakdownNetherlands: 314 citing papers, 3.4% of this breakdownFrance: 289 citing papers, 3.2% of this breakdownSpain: 284 citing papers, 3.1% of this breakdownGreece: 256 citing papers, 2.8% of this breakdownAustralia: 205 citing papers, 2.2% of this breakdown
0%14.6%Other 36.2%

Fields

  • Medicine74.7%
  • Biochemistry, Genetics and Molecular Biology6.4%
  • Immunology and Microbiology5%
  • Computer Science2.8%
  • Health Professions2%
  • Neuroscience1.9%
  • Other7.2%

Topics

  • Rheumatoid Arthritis Research and Therapies8.7%
  • Spondyloarthritis Studies and Treatments3.2%
  • Systemic Lupus Erythematosus Research3.1%
  • Autoimmune and Inflammatory Disorders Research1.9%
  • Vasculitis and related conditions1.8%
  • Systemic Sclerosis and Related Diseases1.8%
  • Other79.5%

Coauthors

All papers

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  1. Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , George D. Kitas, Mostafa M. Fouda, Seemant Chaturvedi, Mannudeep K. Kalra, Jasjit S. Suri - Healthcare 2022 cited by 324

  2. EULAR recommendations for cardiovascular disease risk management in patients with rheumatoid arthritis and other forms of inflammatory joint disorders: 2015/2016 update

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - Annals of the Rheumatic Diseases 2016 cited by 1,343

  3. The Platelet-to-Lymphocyte Ratio as an Inflammatory Marker in Rheumatic Diseases

    Authors: , , , , - Annals of Laboratory Medicine 2019 cited by 605

  4. The Endothelium and Its Role in Regulating Vascular Tone

    Authors: , , , , - The Open Cardiovascular Medicine Journal 2010 cited by 796

  5. Writing a narrative biomedical review: considerations for authors, peer reviewers, and editors

    Authors: , , , - Rheumatology International 2011 cited by 752

  6. The present and future of deep learning in radiology

    Authors: , , , , , , , , , , , , , , , , - European Journal of Radiology 2019 cited by 345

  7. Effects of statin therapy on diagnoses of new-onset diabetes and worsening glycaemia in large-scale randomised blinded statin trials: an individual participant data meta-analysis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Stella Trompet, Harvey D. White, Salim Yusuf, Jane Armitage, Anthony Keech, John Simes, Rory Collins, Colin Baigent, Elizabeth H Barnes, Jordan Fulcher, William G. Herrington, Adrienne Kirby, Rachel O’Connell, Pierre Amarenco, Hiroyuki Arashi, Philip J. Barter, D. J. Betteridge, Michael A. Blazing, Gerard J Blauw, Jackie Bosch, Louise Bowman, Eugene Braunwald, Richard Bulbulia, Robert Byington, Michael Clearfield, Stuart M. Cobbe, Björn Dahlöf, Barry R. Davis, James A. de Lemos, John R. Downs, Bengt Fellström, Marcus Flather, Ian Ford, Maria Grazia Franzosi, John A. Fuller, Curt D. Furberg, Robert J. Glynn, Uri Goldbourt, David Gordon, Antonio M. Gotto, Richard Grimm, A Gupta, C. Hawkins, Richard Haynes, Hallvard Holdaas, Jemma C. Hopewell, Alan G. Jardine, John J.P. Kastelein, Sharon Kean, Patricia M. Kearney, George D. Kitas, John Kjekshus, Genell L. Knatterud, Robert H. Knopp, Michael J. Koren, Vera Krane, Martin Landray, John C. LaRosa, Roberto Latini, Eva Lonn, Donata Lucci, Jean MacFadyen, Peter W. Macfarlane, Stephen MacMahon, Aldo P. Maggioni, Roberto Marchioli, Lemuel A. Moyé, Sabina A. Murphy, Andrew Neil, Enrico Nicolis and 32 more - The Lancet Diabetes & Endocrinology 2024 cited by 137

  8. Exercise and inflammation

    Authors: , , - Best Practice & Research Clinical Rheumatology 2020 cited by 217

  9. Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jasjit S. Suri - EClinicalMedicine 2024 cited by 141

  10. Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review

    Authors: , , , , , , , , , , , , , , , - Computers in Biology and Medicine, Comput. Biol. Medicine 2022 cited by 82

  11. EULAR evidence-based recommendations for cardiovascular risk management in patients with rheumatoid arthritis and other forms of inflammatory arthritis

    Authors: , , , , , , , , , , , , , , , , , - Annals of the Rheumatic Diseases 2009 cited by 1,320

  12. The second decade of anti-TNF-a therapy in clinical practice: new lessons and future directions in the COVID-19 era

    Authors: , , , , - Rheumatology International 2022 cited by 92

  13. COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, F. Nagy, Zoltán Ruzsa, Mostafa M. Fouda, Subbaram Naidu, Klaudija Višković, Mannudeep K. Kalra - Diagnostics 2022 cited by 58

  14. Development and initial validation of the vasculitis damage index for the standardized clinical assessment of damage in the systemic vasculitides

    Authors: , , , , , , - Arthritis & Rheumatism 1997 cited by 614

  15. A Multicenter, Randomized, Placebo‐Controlled Trial of Atorvastatin for the Primary Prevention of Cardiovascular Events in Patients With Rheumatoid Arthritis

    Authors: , , , , , - Arthritis & Rheumatology 2019 cited by 120

  16. Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients

    Authors: , , , , , , , , , , , , , , , - Rheumatology International 2022 cited by 47

  17. Systemic Inflammatory Response and Atherosclerosis: The Paradigm of Chronic Inflammatory Rheumatic Diseases

    Authors: , , , - International Journal of Molecular Sciences 2018 cited by 190

  18. Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Diagnostics 2023 cited by 39

  19. Mean Platelet Volume: A Link Between Thrombosis and Inflammation?

    Authors: , , , - Current Pharmaceutical Design 2011 cited by 1,286

  20. Impact of risk factors associated with cardiovascular outcomes in patients with rheumatoid arthritis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Annals of the Rheumatic Diseases 2017 cited by 277

  21. Performance of four current risk algorithms in predicting cardiovascular events in patients with early rheumatoid arthritis

    Authors: , , , , , , , - Annals of the Rheumatic Diseases 2014 cited by 277

  22. A low-cost machine learning-based cardiovascular/stroke risk assessment system: integration of conventional factors with image phenotypes

    Authors: , , , , , , , , , , , , , , , , , , , - Cardiovascular Diagnosis and Therapy 2019 cited by 93

  23. Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Rajanikant R. Yadav, Frence Nagy, Zsigmond Tamás Kincses, Zoltan Ruzsa, Subbaram Naidu, Klaudija Viskovic, Manudeep K. Kalra, Jasjit S. Suri - Computers in Biology and Medicine, Comput. Biol. Medicine 2022 cited by 54

  24. 3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Computers in Biology and Medicine, Comput. Biol. Medicine 2002 cited by 90