Sven Plein

Active 2001–2025

180
Papers
21,410
Citations
76
h-index
169
i10-index

Citations

Citations per year for Sven Plein1964: 2 citations1991: 6 citations1993: 1 citations1998: 1 citations2001: 2 citations2002: 12 citations2003: 41 citations2004: 42 citations2005: 34 citations2006: 48 citations2007: 37 citations2008: 51 citations2009: 48 citations2010: 58 citations2011: 59 citations2012: 99 citations2013: 105 citations2014: 107 citations2015: 100 citations2016: 165 citations2017: 131 citations2018: 161 citations2019: 573 citations2020: 846 citations2021: 870 citations2022: 750 citations2023: 519 citations2024: 893 citations2025: 403 citations2026: 19 citations1965–1990: no citations, so these years are not shown1992: no citations, so this year is not shown1994–1997: no citations, so these years are not shown1999–2000: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 1,657 citing papers, 18.6% of this breakdownUnited Kingdom: 1,207 citing papers, 13.6% of this breakdownGermany: 716 citing papers, 8.1% of this breakdownItaly: 668 citing papers, 7.5% of this breakdownChina: 459 citing papers, 5.2% of this breakdownNetherlands: 435 citing papers, 4.9% of this breakdownCanada: 335 citing papers, 3.8% of this breakdownFrance: 301 citing papers, 3.4% of this breakdownSwitzerland: 285 citing papers, 3.2% of this breakdownSpain: 252 citing papers, 2.8% of this breakdownAustralia: 211 citing papers, 2.4% of this breakdownBelgium: 182 citing papers, 2% of this breakdown
0%18.6%Other 24.5%

Fields

  • Medicine89.5%
  • Biochemistry, Genetics and Molecular Biology3.7%
  • Computer Science2.9%
  • Engineering1.9%
  • Neuroscience0.6%
  • Health Professions0.2%
  • Other1.2%

Topics

  • Cardiac Imaging and Diagnostics15.3%
  • Cardiovascular Function and Risk Factors9.2%
  • Advanced MRI Techniques and Applications7.6%
  • Cardiac Valve Diseases and Treatments2.9%
  • Cardiomyopathy and Myosin Studies2.8%
  • Coronary Interventions and Diagnostics2.5%
  • Other59.7%

Coauthors

All papers

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  1. Standardized image interpretation and post-processing in cardiovascular magnetic resonance - 2020 update

    Authors: , , , , , , , , , , , - Journal of Cardiovascular Magnetic Resonance 2020 cited by 972

  2. Cardiac T1 Mapping and Extracellular Volume (ECV) in clinical practice: a comprehensive review

    Authors: , , , , , - Journal of Cardiovascular Magnetic Resonance 2016 cited by 962

  3. Standardized image interpretation and post processing in cardiovascular magnetic resonance: Society for Cardiovascular Magnetic Resonance (SCMR) Board of Trustees Task Force on Standardized Post Processing

    Authors: , , , , , , , , , , , - Journal of Cardiovascular Magnetic Resonance 2013 cited by 1,515

  4. Automated Pixel-Wise Quantitative Myocardial Perfusion Mapping by CMR to Detect Obstructive Coronary Artery Disease and Coronary Microvascular Dysfunction

    Authors: , , , , , , , , , , , , , , , - JACC. Cardiovascular imaging 2019 cited by 255

  5. Predicting myocardial infarction through retinal scans and minimal personal information

    Authors: , , , , , , , , , , , , , , , , - Nature Machine Intelligence, Nat. Mach. Intell. 2022 cited by 104

  6. Diagnosis and management of myocardial involvement in systemic immune-mediated diseases: a position statement of the European Society of Cardiology Working Group on Myocardial and Pericardial Disease

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - European Heart Journal 2017 cited by 263

  7. The Prognostic Significance of Quantitative Myocardial Perfusion: An Artificial Intelligence Based Approach Using Perfusion Mapping

    Authors: , , , , , , , , , , , , , , , , , - Circulation 2020 cited by 196

  8. Cardiac biomarkers of acute coronary syndrome: from history to high-sensitivity cardiac troponin

    Authors: , , , , , , , , - Internal and Emergency Medicine 2017 cited by 312

  9. Multiorgan MRI findings after hospitalisation with COVID-19 in the UK (C-MORE): a prospective, multicentre, observational cohort study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Declan P. O’Regan, Jonathan Fuld, Jonathan Weir‐McCall, Dhruv Parekh, Rick Steeds, Krisnah Poinasamy, Dan J Cuthbertson, Graham J. Kemp, Malcolm G. Semple, Alex Horsley, Chris Miller, Caitlin E. O’Brien, Ajay M. Shah, Amedeo Chiribiri, Olivia C. Leavy, Matthew Richardson, Omer Elneima, Hamish McAuley, Marco Sereno, Ruth Saunders, Linzy Houchen‐Wolloff, Neil Greening, Charlotte E. Bolton, Jeremy Brown, Gourab Choudhury, Nawar Diar Bakerly, Nicholas Easom, Carlos Echevarria, Michael Marks, John R. Hurst, Mark G. Jones, Dan Wootton, Trudie Chalder, Melanie J. Davies, Anthony De Soyza, John Geddes, William Greenhalf, Luke Howard, Joseph Jacob, William D‐C Man, Peter Openshaw, Joanna C. Porter, Matthew Rowland, J. T. Scott, Sally Singh, David Thomas, Mark Toshner, Keir Lewis, Liam G. Heaney, Ewen M. Harrison, Steven Kerr, Annemarie B Docherty, Nazir Lone, Jennifer K Quint, Aziz Sheikh, Bang Zheng, Gísli Jenkins, Eleanor Cox, Susan Francis, Mark Halling‐Brown, James D. Chalmers, John P. Greenwood, Sven Plein, Paul Hughes, A. A. Roger Thompson, Sarah Rowland‐Jones, James M Wild, Matthew Kelly, Thomas A. Treibel, Steven Bandula and 941 more - The Lancet Respiratory Medicine 2023 cited by 54

  10. European Association of Cardiovascular Imaging expert consensus paper: a comprehensive review of cardiovascular magnetic resonance normal values of cardiac chamber size and aortic root in adults and recommendations for grading severity

    Authors: , , , , - European Heart Journal - Cardiovascular Imaging 2019 cited by 212

  11. Cardiovascular magnetic resonance and single-photon emission computed tomography for diagnosis of coronary heart disease (CE-MARC): a prospective trial

    Authors: , , , , , , , , , , , - The Lancet 2011 cited by 1,100

  12. Magnetic Resonance Perfusion or Fractional Flow Reserve in Coronary Disease

    Authors: , , , , , , , , , , , , , , , , , , , , - New England Journal of Medicine 2019 cited by 479

  13. Imaging in population science: cardiovascular magnetic resonance in 100,000 participants of UK Biobank - rationale, challenges and approaches

    Authors: , , , , , , , , , , , , , , , - Journal of Cardiovascular Magnetic Resonance 2013 cited by 273

  14. Deep Learning–based Method for Fully Automatic Quantification of Left Ventricle Function from Cine MR Images: A Multivendor, Multicenter Study

    Authors: , , , , , , , , , , , , , - Radiology 2018 cited by 208

  15. Primary systemic sclerosis heart involvement: A systematic literature review and preliminary data-driven, consensus-based WSF/HFA definition

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Thomas Krieg, R Marcolongo, Ilaria Galetti, Elisabetta Zanatta, Francesco Tona, Petar Seferović, Marco Matucci‐Cerinic - Journal of Scleroderma and Related Disorders 2021 cited by 75

  16. Normal values for cardiovascular magnetic resonance in adults and children

    Authors: , , , , , , , , , - Journal of Cardiovascular Magnetic Resonance 2015 cited by 767

  17. Consensus on the assessment of systemic sclerosis–associated primary heart involvement: World Scleroderma Foundation/Heart Failure Association guidance on screening, diagnosis, and follow-up assessment

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Alessia Pepe, Oliver Distler, Petros P. Sfikakis, Petar Seferović, Marco Matucci‐Cerinic - Journal of Scleroderma and Related Disorders 2023 cited by 56

  18. Sex- and age-specific normal values for automated quantitative pixel-wise myocardial perfusion cardiovascular magnetic resonance

    Authors: , , , , , , , , , , , , , , , , , , , , , - European Heart Journal - Cardiovascular Imaging 2022 cited by 50

  19. A joint procedural position statement on imaging in cardiac sarcoidosis: from the Cardiovascular and Inflammation & Infection Committees of the European Association of Nuclear Medicine, the European Association of Cardiovascular Imaging, and the American Society of Nuclear Cardiology

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Vasken Dilsizian, Prem Soman, Gilbert Habib, Victoria Delgado, Nuno Cardim, Bernard Cosyns, Frank A. Flachskampf, Bernhard Gerber, Kristina H. Haugaa, Massimo Lombardi, Pier Giorgio Masci - European Heart Journal - Cardiovascular Imaging 2017 cited by 121

  20. Reduced Myocardial Perfusion Reserve in Type 2 Diabetes Is Caused by Increased Perfusion at Rest and Decreased Maximal Perfusion During Stress

    Authors: , , , , , , - Diabetes Care 2020 cited by 54

  21. Quantification of LV function and mass by cardiovascular magnetic resonance: multi-center variability and consensus contours

    Authors: , , , , , , , , , , - Journal of Cardiovascular Magnetic Resonance 2015 cited by 186

  22. A joint procedural position statement on imaging in cardiac sarcoidosis: from the Cardiovascular and Inflammation & Infection Committees of the European Association of Nuclear Medicine, the European Association of Cardiovascular Imaging, and the American Society of Nuclear Cardiology

    Authors: , , , , , , , , , , , , , , , - Journal of Nuclear Cardiology 2017 cited by 148

  23. 30-minute CMR for common clinical indications: a Society for Cardiovascular Magnetic Resonance white paper

    Authors: , , , , , , - Journal of Cardiovascular Magnetic Resonance 2022 cited by 62

  24. Reference values for healthy human myocardium using a T1 mapping methodology: results from the International T1 Multicenter cardiovascular magnetic resonance study

    Authors: , , , , , , , , , , , , , , , , , - Journal of Cardiovascular Magnetic Resonance 2014 cited by 352