Peter Kellman

30.0k citations
430 papers · 23.0k · 12 hit papers · h-index 81

Impact in

Papers in

Peter Kellman

402 papers receiving 22.6k citations

Peter Kellman's Hit Papers

Coronary sinus reducer for the treatment of refractory angina (ORBITA-COSMIC): a randomised, placebo-controlled trial 2024 · 47 citations
470+8+16Years since publication4008001.2k

Peers

Peter Kellman
Comparison fields: 5 of 167
  • Radiology, Nuclear Medicine and Imaging 12.2k
  • Cardiology and Cardiovascular Medicine 7.9k
  • Nephrology 770
  • Biophysics 232
  • Molecular Biology 2.6k
Replace Matthew David Robson with:
Matthew David Robson United Kingdom
Matthias G. Friedrich Canada
Stefan Kazimierz Piechnik United Kingdom
Eike Nagel Germany
Dudley John Pennell United Kingdom
Michael Jerosch‐Herold United States
Christopher M. Kramer United States
Michael Uder Germany
Jeanette Schulz‐Menger Germany
Martin R. Prince United States
Peter Kellman relative to Matthew David Robson United Kingdom Matthew David Robson's profile →
Citations per field
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Matthew David Robson · 1×
Citations per year

Countries citing papers authored by Peter Kellman

Since Specialization
Citations

This map shows the geographic impact of Peter Kellman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Kellman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kellman more than expected).

Fields of papers citing papers by Peter Kellman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Kellman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Kellman. The network helps show where Peter Kellman may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Kellman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Kellman Line = papers co-authored together Peter Kellman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 430 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: A consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI)
Hit paper breakdown →
20161260
2
Myocardial T1 mapping and extracellular volume quantification: a Society for Cardiovascular Magnetic Resonance (SCMR) and CMR Working Group of the European Society of Cardiology consensus statement
Hit paper breakdown →
2013877
3
T1-mapping in the heart: accuracy and precision
Hit paper breakdown →
2014598
4
Phase‐sensitive inversion recovery for detecting myocardial infarction using gadolinium‐delayed hyperenhancement†
Hit paper breakdown →
2002517
5
Prognostic Value of Late Gadolinium Enhancement Cardiovascular Magnetic Resonance in Cardiac Amyloidosis
Hit paper breakdown →
2015471
6
Extracellular volume imaging by magnetic resonance imaging provides insights into overt and sub-clinical myocardial pathology
Hit paper breakdown →
2012465
7 2005452
8
Association Between Extracellular Matrix Expansion Quantified by Cardiovascular Magnetic Resonance and Short-Term Mortality
Hit paper breakdown →
2012405
9
MultiContrast Delayed Enhancement (MCODE) improves detection of subendocardial myocardial infarction by late gadolinium enhancement cardiovascular magnetic resonance: a clinical validation study
Hit paper breakdown →
2012391
10 2012348
11 2017346
12 2001335
13
Opportunities in Interventional and Diagnostic Imaging by Using High-Performance Low-Field-Strength MRI
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2019303
14 2013297
15
Patterns of myocardial injury in recovered troponin-positive COVID-19 patients assessed by cardiovascular magnetic resonance
Hit paper breakdown →
2021294
16 2009289
17
Reverse Myocardial Remodeling Following Valve Replacement in Patients With Aortic Stenosis
Hit paper breakdown →
2018289
18 2012280
19 2014266
20 2004261

About Peter Kellman

Peter Kellman is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Atomic and Molecular Physics, and Optics, Nephrology and Molecular Biology, having authored 430 papers that have together received 23.0k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (205 papers), Advanced MRI Techniques and Applications (164 papers), Cardiovascular Function and Risk Factors (64 papers), Medical Imaging Techniques and Applications (41 papers), Atomic and Subatomic Physics Research (32 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (28 papers), Cardiomyopathy and Myosin Studies (21 papers) and Cardiovascular Disease and Adiposity (15 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (12.2k citations), Cardiology and Cardiovascular Medicine (7.9k citations), Nephrology (770 citations), Biophysics (232 citations) and Molecular Biology (2.6k citations). Peter Kellman has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Andrew E. Arai, Elliot R. McVeigh, Michael S. Hansen, Anthony H. Aletras, Martin Ugander, James Moon, Hui Xue, Erik B. Schelbert, Li‐Yueh Hsu and Diego Hernando. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Magnetic Resonance in Medicine, European Heart Journal - Cardiovascular Imaging, JACC. Cardiovascular imaging and European Heart Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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