D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Medicine D-index 71 Citations 20,076 417 World Ranking 15279 National Ranking 1341

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Magnetic resonance imaging
  • Myocardial infarction

His primary scientific interests are in Magnetic resonance imaging, Nuclear medicine, Cardiology, Internal medicine and Radiology. His Magnetic resonance imaging research is multidisciplinary, relying on both Myocardial perfusion imaging, Coronary artery disease, Circulatory system, Angiology and Reproducibility. The concepts of his Nuclear medicine study are interwoven with issues in Ventricle, Perfusion, Cardiac cycle, Steady-state free precession imaging and Nuclear magnetic resonance.

In his study, Mace and Hazard ratio is strongly linked to Randomized controlled trial, which falls under the umbrella field of Cardiology. Sven Plein regularly ties together related areas like Differential diagnosis in his Internal medicine studies. He focuses mostly in the field of Radiology, narrowing it down to matters related to Cardiomyopathy and, in some cases, Biomarker.

His most cited work include:

  • Coronary Magnetic Resonance Angiography for the Detection of Coronary Stenoses (811 citations)
  • Cardiovascular magnetic resonance and single-photon emission computed tomography for diagnosis of coronary heart disease (CE-MARC): a prospective trial (757 citations)
  • 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 (735 citations)

What are the main themes of his work throughout his whole career to date?

Sven Plein mainly investigates Internal medicine, Cardiology, Magnetic resonance imaging, Perfusion and Angiology. His work in the fields of Internal medicine, such as Myocardial infarction, Coronary artery disease and Stenosis, overlaps with other areas such as In patient. The Coronary artery disease study combines topics in areas such as Fractional flow reserve, Chest pain and Angina.

His biological study spans a wide range of topics, including Radiology and Diastole. His Magnetic resonance imaging study combines topics from a wide range of disciplines, such as Prospective cohort study, Angiography and Single-photon emission computed tomography, Nuclear medicine. He combines subjects such as Biomedical engineering and Blood flow, Coronary circulation with his study of Perfusion.

He most often published in these fields:

  • Internal medicine (70.46%)
  • Cardiology (68.39%)
  • Magnetic resonance imaging (47.71%)

What were the highlights of his more recent work (between 2018-2021)?

  • Internal medicine (70.46%)
  • Cardiology (68.39%)
  • Magnetic resonance imaging (47.71%)

In recent papers he was focusing on the following fields of study:

Sven Plein mainly focuses on Internal medicine, Cardiology, Magnetic resonance imaging, Perfusion and Coronary artery disease. His Internal medicine study which covers Diabetes mellitus that intersects with Blood pressure and Cardiac magnetic resonance imaging. His Ejection fraction, Heart failure and Myocardial infarction study, which is part of a larger body of work in Cardiology, is frequently linked to In patient, bridging the gap between disciplines.

His Magnetic resonance imaging study combines topics in areas such as Intensive care medicine, Late gadolinium enhancement, Revascularization, Mitral regurgitation and Biomedical engineering. He interconnects Deep learning, Blood flow, Ischemia and Pattern recognition in the investigation of issues within Perfusion. He works mostly in the field of Positron emission tomography, limiting it down to topics relating to Perfusion scanning and, in certain cases, Nuclear medicine.

Between 2018 and 2021, his most popular works were:

  • Magnetic Resonance Perfusion or Fractional Flow Reserve in Coronary Disease (143 citations)
  • Deep Learning-based Method for Fully Automatic Quantification of Left Ventricle Function from Cine MR Images: A Multivendor, Multicenter Study. (65 citations)
  • Standardized image interpretation and post-processing in cardiovascular magnetic resonance - 2020 update (50 citations)

In his most recent research, the most cited papers focused on:

  • Internal medicine
  • Magnetic resonance imaging
  • Cardiology

His primary areas of investigation include Internal medicine, Cardiology, Magnetic resonance imaging, Perfusion and Coronary artery disease. His Cardiology study incorporates themes from Diabetes mellitus, Fabry disease and Diastole. He integrates Magnetic resonance imaging with In patient in his study.

The various areas that Sven Plein examines in his Perfusion study include Blood flow, Ventricle, Imaging phantom, Nuclear medicine and Repeatability. His studies deal with areas such as Positron emission tomography, Fractional flow reserve, Atrial fibrillation and Perfusion scanning as well as Coronary artery disease. His Fractional flow reserve research includes themes of Angiography, Stenosis and Revascularization.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

Jeanette Schulz-Menger;David A Bluemke;Jens Bremerich;Scott D Flamm.
Journal of Cardiovascular Magnetic Resonance (2013)

1153 Citations

Coronary Magnetic Resonance Angiography for the Detection of Coronary Stenoses

W. Yong Kim;Peter G. Danias;Matthias Stuber;Scott D. Flamm.
The New England Journal of Medicine (2001)

1143 Citations

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

John P Greenwood;Neil Maredia;John F Younger;Julia M Brown.
The Lancet (2012)

1013 Citations

Normal human left and right ventricular dimensions for MRI as assessed by turbo gradient echo and steady-state free precession imaging sequences.

Khaled Alfakih;Sven Plein;Holger Thiele;Tim Jones.
Journal of Magnetic Resonance Imaging (2003)

761 Citations

Normal values for cardiovascular magnetic resonance in adults and children

Nadine Kawel-Boehm;Alicia Maceira;Emanuela R Valsangiacomo-Buechel;Jens Vogel-Claussen.
Journal of Cardiovascular Magnetic Resonance (2015)

506 Citations

Myocardial T1 mapping: application to patients with acute and chronic myocardial infarction.

Daniel R. Messroghli;Kevin Walters;Sven Plein;Patrick Sparrow.
Magnetic Resonance in Medicine (2007)

350 Citations

Steady-state free precession magnetic resonance imaging of the heart: comparison with segmented k-space gradient-echo imaging.

Sven Plein;Timothy N. Bloomer;John P. Ridgway;Tim R. Jones.
Journal of Magnetic Resonance Imaging (2001)

322 Citations

The appropriate and justified use of medical radiation in cardiovascular imaging: a position document of the ESC Associations of Cardiovascular Imaging, Percutaneous Cardiovascular Interventions and Electrophysiology

Eugenio Picano;Eliseo Vañó;Eliseo Vañó;Madan M. Rehani;Alberto Cuocolo.
European Heart Journal (2014)

318 Citations

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

Philip Haaf;Philip Haaf;Pankaj Garg;Daniel R. Messroghli;David A. Broadbent.
Journal of Cardiovascular Magnetic Resonance (2017)

302 Citations

Comparison of right ventricular volume measurements between axial and short axis orientation using steady-state free precession magnetic resonance imaging.

Khaled Alfakih;Sven Plein;Tim Bloomer;Tim Jones.
Journal of Magnetic Resonance Imaging (2003)

278 Citations

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