George D. Kitas

1989–2026 年に発表

別表記
George D Kitas
201
論文数
23,526
被引用数
83
h 指数
199
i10 指数

被引用数

George D. Kitas の年別被引用数1969 年: 被引用 1 件1986 年: 被引用 1 件1990 年: 被引用 4 件1991 年: 被引用 15 件1992 年: 被引用 10 件1993 年: 被引用 4 件1994 年: 被引用 13 件1995 年: 被引用 8 件1996 年: 被引用 14 件1997 年: 被引用 9 件1998 年: 被引用 10 件1999 年: 被引用 10 件2000 年: 被引用 10 件2001 年: 被引用 6 件2002 年: 被引用 15 件2003 年: 被引用 16 件2004 年: 被引用 2 件2005 年: 被引用 24 件2006 年: 被引用 33 件2007 年: 被引用 39 件2008 年: 被引用 55 件2009 年: 被引用 78 件2010 年: 被引用 135 件2011 年: 被引用 113 件2012 年: 被引用 108 件2013 年: 被引用 146 件2014 年: 被引用 150 件2015 年: 被引用 199 件2016 年: 被引用 170 件2017 年: 被引用 117 件2018 年: 被引用 154 件2019 年: 被引用 647 件2020 年: 被引用 901 件2021 年: 被引用 985 件2022 年: 被引用 925 件2023 年: 被引用 630 件2024 年: 被引用 956 件2025 年: 被引用 556 件2026 年: 被引用 41 件1970〜1985 年は被引用が無いため表示していません1987〜1989 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 1,333 件、この内訳の 14.6%イギリス: 引用元論文 894 件、この内訳の 9.8%中国: 引用元論文 610 件、この内訳の 6.7%イタリア: 引用元論文 590 件、この内訳の 6.4%インド: 引用元論文 380 件、この内訳の 4.1%カナダ: 引用元論文 351 件、この内訳の 3.8%ドイツ: 引用元論文 342 件、この内訳の 3.7%オランダ: 引用元論文 314 件、この内訳の 3.4%フランス: 引用元論文 289 件、この内訳の 3.2%スペイン: 引用元論文 284 件、この内訳の 3.1%ギリシャ: 引用元論文 256 件、この内訳の 2.8%オーストラリア: 引用元論文 205 件、この内訳の 2.2%
0%14.6%その他 36.2%

分野

  • Medicine74.7%
  • Biochemistry, Genetics and Molecular Biology6.4%
  • Immunology and Microbiology5%
  • Computer Science2.8%
  • Health Professions2%
  • Neuroscience1.9%
  • その他7.2%

トピック

  • 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%
  • その他79.5%

共著者

全論文

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , George D. Kitas, Mostafa M. Fouda, Seemant Chaturvedi, Mannudeep K. Kalra, Jasjit S. Suri - Healthcare 2022 被引用: 324

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , - Annals of the Rheumatic Diseases 2016 被引用: 1,343

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

    著者: , , , , - Annals of Laboratory Medicine 2019 被引用: 605

  4. The Endothelium and Its Role in Regulating Vascular Tone

    著者: , , , , - The Open Cardiovascular Medicine Journal 2010 被引用: 796

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

    著者: , , , - Rheumatology International 2011 被引用: 752

  6. The present and future of deep learning in radiology

    著者: , , , , , , , , , , , , , , , , - European Journal of Radiology 2019 被引用: 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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 ほか 32 名 - The Lancet Diabetes & Endocrinology 2024 被引用: 137

  8. Exercise and inflammation

    著者: , , - Best Practice & Research Clinical Rheumatology 2020 被引用: 217

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jasjit S. Suri - EClinicalMedicine 2024 被引用: 141

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

    著者: , , , , , , , , , , , , , , , - Computers in Biology and Medicine, Comput. Biol. Medicine 2022 被引用: 82

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

    著者: , , , , , , , , , , , , , , , , , - Annals of the Rheumatic Diseases 2009 被引用: 1,320

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

    著者: , , , , - Rheumatology International 2022 被引用: 92

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 被引用: 58

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

    著者: , , , , , , - Arthritis & Rheumatism 1997 被引用: 614

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

    著者: , , , , , - Arthritis & Rheumatology 2019 被引用: 120

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

    著者: , , , , , , , , , , , , , , , - Rheumatology International 2022 被引用: 47

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

    著者: , , , - International Journal of Molecular Sciences 2018 被引用: 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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Diagnostics 2023 被引用: 39

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

    著者: , , , - Current Pharmaceutical Design 2011 被引用: 1,286

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Annals of the Rheumatic Diseases 2017 被引用: 277

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

    著者: , , , , , , , - Annals of the Rheumatic Diseases 2014 被引用: 277

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

    著者: , , , , , , , , , , , , , , , , , , , - Cardiovascular Diagnosis and Therapy 2019 被引用: 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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 被引用: 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

    著者: , , , , , , , , , , , , , , , , , , , , , , , - Computers in Biology and Medicine, Comput. Biol. Medicine 2002 被引用: 90