Peter Kellman
Impact in
- Radiology, Nuclear Medicine and Imaging top 0.01%
- Cardiac Imaging and Diagnostics
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
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- Cardiovascular Function and Risk Factors
- Cardiomyopathy and Myosin Studies
- Viral Infections and Immunology Research
Papers in
-
- Cardiac Imaging and Diagnostics 199
- Advanced MRI Techniques and Applications 159
- Medical Imaging Techniques and Applications 40
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- Cardiovascular Function and Risk Factors 58
- Cardiomyopathy and Myosin Studies 19
- Cardiovascular Disease and Adiposity 18
- Co-authors
- Andrew E. Arai (49 shared papers)Elliot R. McVeigh (27 shared papers)Michael S. Hansen (33 shared papers)Anthony H. Aletras (30 shared papers)Martin Ugander (36 shared papers)James Moon (100 shared papers)Hui Xue (88 shared papers)Erik B. Schelbert (20 shared papers)
- Journals
- Journal of Cardiovascular Magnetic Resonance (110 papers)Magnetic Resonance in Medicine (52 papers)European Heart Journal - Cardiovascular Imaging (28 papers)JACC. Cardiovascular imaging (16 papers)Journal of Magnetic Resonance Imaging (15 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Peter Kellman
363 papers receiving 19.4k citations
Peter Kellman's Hit Papers
Peers
Comparison fields: 5 of 164
- Radiology, Nuclear Medicine and Imaging 11.0k
- Cardiology and Cardiovascular Medicine 6.8k
- Nephrology 445
- Biophysics 219
- Surgery 1.2k
Countries citing papers authored by Peter Kellman
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
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.
All Works
Showing the 20 most-cited of 384 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 → | 2016 | 1131 |
| 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 → | 2013 | 814 |
| 3 | T1-mapping in the heart: accuracy and precision Hit paper breakdown → | 2014 | 559 |
| 4 | Phase‐sensitive inversion recovery for detecting myocardial infarction using gadolinium‐delayed hyperenhancement† Hit paper breakdown → | 2002 | 504 |
| 5 | 2005 | 446 | |
| 6 | Extracellular volume imaging by magnetic resonance imaging provides insights into overt and sub-clinical myocardial pathology Hit paper breakdown → | 2012 | 445 |
| 7 | MultiContrast Delayed Enhancement (MCODE) improves detection of subendocardial myocardial infarction by late gadolinium enhancement cardiovascular magnetic resonance: a clinical validation study Hit paper breakdown → | 2012 | 391 |
| 8 | Association Between Extracellular Matrix Expansion Quantified by Cardiovascular Magnetic Resonance and Short-Term Mortality Hit paper breakdown → | 2012 | 381 |
| 9 | 2001 | 333 | |
| 10 | 2012 | 332 | |
| 11 | 2017 | 287 | |
| 12 | 2013 | 286 | |
| 13 | 2009 | 277 | |
| 14 | 2012 | 267 | |
| 15 | 2014 | 257 | |
| 16 | 2004 | 250 | |
| 17 | Reverse Myocardial Remodeling Following Valve Replacement in Patients With Aortic Stenosis Hit paper breakdown → | 2018 | 248 |
| 18 | 2005 | 219 | |
| 19 | 2012 | 216 | |
| 20 | 2016 | 214 |
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, Molecular Biology and Biomedical Engineering, having authored 384 papers that have together received 19.6k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (199 papers), Advanced MRI Techniques and Applications (159 papers), Cardiovascular Function and Risk Factors (58 papers), Medical Imaging Techniques and Applications (40 papers), Atomic and Subatomic Physics Research (31 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (21 papers), Cardiomyopathy and Myosin Studies (19 papers) and Cardiovascular Disease and Adiposity (18 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (11.0k citations), Cardiology and Cardiovascular Medicine (6.8k citations), Nephrology (445 citations), Biophysics (219 citations) and Surgery (1.2k 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 Journal of Magnetic Resonance Imaging.
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.