Pim A. de Jong

Active 2003–2025

Also published as
Pim A de Jong
186
Papers
22,285
Citations
71
h-index
156
i10-index

Citations

Citations per year for Pim A. de Jong1968: 1 citations1978: 1 citations1989: 2 citations1990: 1 citations1991: 1 citations1994: 3 citations1999: 1 citations2002: 1 citations2003: 1 citations2004: 1 citations2005: 27 citations2006: 26 citations2007: 29 citations2008: 28 citations2009: 49 citations2010: 40 citations2011: 46 citations2012: 53 citations2013: 102 citations2014: 103 citations2015: 174 citations2016: 222 citations2017: 283 citations2018: 302 citations2019: 653 citations2020: 940 citations2021: 1,078 citations2022: 858 citations2023: 670 citations2024: 1,010 citations2025: 474 citations2026: 59 citations1969–1977: no citations, so these years are not shown1979–1988: no citations, so these years are not shown1992–1993: no citations, so these years are not shown1995–1998: no citations, so these years are not shown2000–2001: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,231 citing papers, 19.7% of this breakdownChina: 1,170 citing papers, 10.4% of this breakdownUnited Kingdom: 1,010 citing papers, 8.9% of this breakdownNetherlands: 745 citing papers, 6.6% of this breakdownGermany: 616 citing papers, 5.4% of this breakdownItaly: 470 citing papers, 4.2% of this breakdownCanada: 439 citing papers, 3.9% of this breakdownFrance: 381 citing papers, 3.4% of this breakdownAustralia: 354 citing papers, 3.1% of this breakdownSwitzerland: 272 citing papers, 2.4% of this breakdownJapan: 246 citing papers, 2.2% of this breakdownDenmark: 242 citing papers, 2.1% of this breakdown
0%19.7%Other 27.7%

Fields

  • Medicine73.6%
  • Biochemistry, Genetics and Molecular Biology8.5%
  • Engineering5.5%
  • Computer Science5.3%
  • Immunology and Microbiology2.1%
  • Nursing1.1%
  • Other3.9%

Topics

  • Lung Cancer Diagnosis and Treatment9.2%
  • Radiomics and Machine Learning in Medical Imaging6.1%
  • Lung Cancer Treatments and Mutations3%
  • Cardiac Imaging and Diagnostics2.8%
  • COVID-19 diagnosis using AI2.8%
  • Advanced X-ray and CT Imaging2.6%
  • Other73.5%

Coauthors

All papers

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  1. Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - New England Journal of Medicine 2020 cited by 3,475

  2. The interleukin-6 receptor as a target for prevention of coronary heart disease: a mendelian randomisation analysis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Ian Tomlinson, Ioanna Tzoulaki, Jian'an Luan, Jolanda M A Boer, Nita G Forouhi, N Charlotte Onland-Moret, N. Charlotte Onland‐Moret, Renate B Schnabel, Jaroslav A Hubacek, Ruzena Kubinova, Migle Baceviciene, Abdonas Tamosiunas, Andrzej Pajak, Roman Topor-Madry, Sofia Malyutina, Damiano Baldassarre, Bengt Sennblad, Elena Tremoli, Ulf de Faire, Luigi Ferrucci, Stefania Bandenelli, Toshiko Tanaka, James F Meschia, Andrew Singleton, Gerjan Navis, Irene Mateo Leach, Stephan J L Bakker, Ron T Gansevoort, Ian Ford, Stephen E Epstein, Mary Susan Burnett, Joe M Devaney, J Wouter Jukema, J. Wouter Jukema, Gert Jan de Borst, Yolanda van der Graaf, Pim A de Jong, Anke-Hilse Mailand-van der Zee, Olaf H Klungel, Anthonius de Boer, Pieter A Doevendans, Jeffrey W Stephens, Charles B Eaton, Jennifer G Robinson, JoAnn E Manson, F Gerry Fowkes, Timonthy M Frayling, Jackie F Price, Peter H Whincup, Richard W Morris, Debbie A Lawlor, George Davey Smith, Yoav Ben-Shlomo, Susan Redline, Leslie A Lange, Meena Kumari, Nick J Wareham, W M Monique Verschuren, Emelia J Benjamin, John C Whittaker, Anders Hamsten, Frank Dudbridge, J A Chris Delaney, Andrew Wong, Diana Kuh, Rebecca Hardy, Berta Almoguera Castillo, John J Connolly, Pim van der Harst, Eric J Brunner and 16 more - The Lancet 2012 cited by 1,157

  3. Extraction of Airways From CT (EXACT'09)

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2012 cited by 294

  4. Iterative fully convolutional neural networks for automatic vertebra segmentation and identification

    Authors: , , , - Medical Image Analysis, Medical Image Anal. 2019 cited by 263

  5. Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions

    Authors: , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2017 cited by 257

  6. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Olle Melander, Carlotta Sacerdote, Dale M. Gamble, Sruti Rayaprolu, Owen A. Ross, S. McLachlan, Olga Vikhireva, Ivonne Sluijs, R.A. Scott, Věra Adámková, Leon Flicker, F. M. van Bockxmeer, Chris Power, Pedro Marques‐Vidal, T W Meade, Michael Marmot, José M. Ferro, S. Paulos-Pinheiro, Steve E. Humphries, Philippa J. Talmud, Irene Mateo Leach, Niek Verweij, Allan Linneberg, Tea Skaaby, Pieter A. Doevendans, Maarten J. Cramer, Pim van der Harst, Olaf H. Klungel, Nicole F. Dowling, Anna F. Dominiczak, Meena Kumari, Andrew Nicolaides, Cornelia Weikert, Heiner Boeing, Shah Ebrahim, Tom R. Gaunt, Jackie F. Price, L. Lannfelt, Anne Peasey, Růžena Kubínová, A. Pajak, Sofia Malyutina, M. I. Voevoda, Algirdas Tamošiūnas, Anke H. Maitland‐van der Zee, Paul E. Norman, Graeme J. Hankey, Michael Bergmann, Amy Hofman, Oscar H. Franco, J. Cooper, Jutta Palmen, Wilko Spiering, Pim A. de Jong, Diana Kuh, Rebecca Hardy, André G. Uitterlinden, M. Arfan Ikram, Ian Ford, Elina Hyppönen, Osvaldo P. Almeida, Nicholas J. Wareham, K.-T. Khaw, Anders Hamsten, Lise Lotte N. Husemoen, Anne Tjønneland, Janne Schurmann Tolstrup, Eric B. Rimm, Joline W. J. Beulens, W. M. Monique Verschuren and 55 more - BMJ 2014 cited by 677

  7. Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols

    Authors: , , , , , , , , , , , , , - Radiology 2020 cited by 238

  8. HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Nita G. Forouhi, N. Charlotte Onland‐Moret, Yvonne T. van der Schouw, Renate B. Schnabel, Jaroslav A. Hubáček, Růžena Kubínová, Miglė Bacevičienė, Abdonas Tamošiūnas, Andrzej Pająk, Romanvan Topor-Madry, Urszula Stepaniak, Sofia Malyutina, Damiano Baldassarre, Bengt Sennblad, Elena Tremoli, Ulf dé Fairé, Fabrizio Veglia, Ian Ford, J. Wouter Jukema, Rudi G. J. Westendorp, Gert J. de Borst, Pim A. de Jong, Ale Algra, Wilko Spiering, Anke H. Maitland‐van der Zee, Olaf H. Klungel, Anthonius de Boer, Pieter A. Doevendans, Charles B. Eaton, Jennifer G. Robinson, David Duggan, John Kjekshus, John R. Downs, Antonio M. Gotto, Anthony Keech, Roberto Marchioli, Gianni Tognoni, Peter S. Sever, Neil R Poulter, David D. Waters, Terje R. Pedersen, Pierre Amarenco, Haruo Nakamura, John J.V. McMurray, James Lewsey, Daniel I. Chasman, Paul M. Ridker, Aldo P. Maggioni, Luigi Tavazzi, Kausik K. Ray, Sreenivasa Rao Kondapally Seshasai, JoAnn E. Manson, Jackie F. Price, Peter H. Whincup, Richard Morris, Debbie A. Lawlor, George Davey Smith, Yoav Ben‐Shlomo, Pamela J. Schreiner, Myriam Fornage, David S. Siscovick, Mary Cushman, Meena Kumari, Nick J Wareham, W. M. Monique Verschuren, Susan Redline, Sanjay R. Patel, John C. Whittaker, Anders Hamsten, Joseph A. Delaney and 33 more - The Lancet 2014 cited by 710

  9. C-Reactive Protein and Risk of Incident Heart Failure in Patients With Cardiovascular Disease

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Journal of the American College of Cardiology 2023 cited by 135

  10. Iterative reconstruction techniques for computed tomography Part 1: Technical principles

    Authors: , , , , , , - European Radiology 2013 cited by 433

  11. Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening

    Authors: , , , , , , , , , , , , , , , , - The Lancet Oncology 2014 cited by 527

  12. Diagnostic Accuracy of Stress Myocardial Perfusion Imaging Compared to Invasive Coronary Angiography With Fractional Flow Reserve Meta-Analysis

    Authors: , , , , , , , - Circulation Cardiovascular Imaging 2015 cited by 416

  13. Opportunistic screening for osteoporosis on routine computed tomography? An external validation study

    Authors: , , , , - European Radiology 2015 cited by 145

  14. Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT

    Authors: , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2019 cited by 127

  15. Detection of lung cancer through low-dose CT screening (NELSON): a prespecified analysis of screening test performance and interval cancers

    Authors: , , , , , , , , , , , , , , - The Lancet Oncology 2014 cited by 382

  16. Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Frank Lindseth, Amir Hossein Foruzan, Ryan Kiros, Karteek Popuri, Dana Cobzaş, Daniel Jiménez‐Carretero, A. Santos, María J. Ledesma‐Carbayo, Michael Helmberger, Martin Urschler, Michael Pienn, Dennis Bosboom, Arantza Campo, Mathias Prokop, Pim A. de Jong, Carlos Ortíz-de-Solórzano, Arrate Muñoz‐Barrutia, Bram van Ginneken - Medical Image Analysis, Medical Image Anal. 2014 cited by 158

  17. Occurrence and lung cancer probability of new solid nodules at incidence screening with low-dose CT: analysis of data from the randomised, controlled NELSON trial

    Authors: , , , , , , , , , , , , , - The Lancet Oncology 2016 cited by 229

  18. Validation and Prognosis of Coronary Artery Calcium Scoring in Nontriggered Thoracic Computed Tomography

    Authors: , , , , , , - Circulation Cardiovascular Imaging 2013 cited by 197

  19. Automated Coronary Artery Calcification Scoring in Non-Gated Chest CT: Agreement and Reliability

    Authors: , , , , , , , - PLoS ONE 2014 cited by 131

  20. The Prediction of Small Airway Dimensions Using Computed Tomography

    Authors: , , , , , , , , - American Journal of Respiratory and Critical Care Medicine 2004 cited by 446

  21. Bisphosphonates for cardiovascular risk reduction: A systematic review and meta-analysis

    Authors: , , , , , , , - Atherosclerosis 2016 cited by 150

  22. Airway wall thickness associated with forced expiratory volume in 1 second decline and development of airflow limitation

    Authors: , , , , , , , , , , , , - European Respiratory Journal 2015 cited by 78

  23. Deep Learning for Lung Cancer Detection on Screening CT Scans: Results of a Large-Scale Public Competition and an Observer Study with 11 Radiologists

    Authors: , , , , , , , , , , , , , , , , , , - Radiology Artificial Intelligence 2021 cited by 50

  24. The association between skeletal muscle measures and chemotherapy‐induced toxicity in non‐small cell lung cancer patients

    Authors: , , , , , , , , , , , , , - Journal of Cachexia Sarcopenia and Muscle 2022 cited by 49