James Moon

74.8k citations
656 papers · 34.5k · 18 hit papers · h-index 93

Impact in

Papers in

James Moon

624 papers receiving 33.9k citations

James Moon's Hit Papers

Cardiac Involvement in Fabry Disease 2021 · 185 citations
1850+7+14Years since publication2505007501000

Peers

James Moon
Comparison fields: 5 of 187
  • Cardiology and Cardiovascular Medicine 12.7k
  • Radiology, Nuclear Medicine and Imaging 8.7k
  • Nephrology 1.3k
  • Immunology 3.9k
  • Oncology 3.2k
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Citations per field
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Citations per year

Countries citing papers authored by James Moon

Since Specialization
Citations

This map shows the geographic impact of James Moon'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 James Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Moon more than expected).

Fields of papers citing papers by James Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Moon. 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 James Moon. The network helps show where James Moon may publish in the future.

Co-authors

The 25 scholars most cited alongside James Moon, 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 James Moon Line = papers co-authored together James Moon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 656 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 →
20161119
2
Comparison of interstudy reproducibility of cardiovascular magnetic resonance with two-dimensional echocardiography in normal subjects and in patients with heart failure or left ventricular hypertrophy
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20021078
3
Differentiation of Heart Failure Related to Dilated Cardiomyopathy and Coronary Artery Disease Using Gadolinium-Enhanced Cardiovascular Magnetic Resonance
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2003809
4
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
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2013794
5
Naive CD4+ T Cell Frequency Varies for Different Epitopes and Predicts Repertoire Diversity and Response Magnitude
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2007745
6
Equilibrium Contrast Cardiovascular Magnetic Resonance for the Measurement of Diffuse Myocardial Fibrosis
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2010701
7
Cardiovascular Magnetic Resonance in Cardiac Amyloidosis
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2005649
8
Prognostic Significance of Myocardial Fibrosis in Hypertrophic Cardiomyopathy
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2010606
9
Interstudy reproducibility of right ventricular volumes, function, and mass with cardiovascular magnetic resonance
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2004581
10
Meta-Analysis of Phase II Cooperative Group Trials in Metastatic Stage IV Melanoma to Determine Progression-Free and Overall Survival Benchmarks for Future Phase II Trials
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2008534
11
Toward clinical risk assessment inhypertrophic cardiomyopathy withgadolinium cardiovascular magnetic resonance
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2003533
12
The histologic basis of late gadolinium enhancement cardiovascular magnetic resonance in hypertrophic cardiomyopathy
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2004514
13
Evaluation of Techniques for the Quantification of Myocardial Scar of Differing Etiology Using Cardiac Magnetic Resonance
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2011502
14
Noncontrast T1 Mapping for the Diagnosis of Cardiac Amyloidosis
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2013481
15 2006433
16 2002407
17
Identification and Assessment of Anderson-Fabry Disease by Cardiovascular Magnetic Resonance Noncontrast Myocardial T1 Mapping
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2013366
18
Human non-contrast T1 values and correlation with histology in diffuse fibrosis
Hit paper breakdown →
2013361
19 2003349
20 2012329

About James Moon

James Moon is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology and Pulmonary and Respiratory Medicine, having authored 656 papers that have together received 34.5k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (150 papers), Advanced MRI Techniques and Applications (87 papers), Cardiomyopathy and Myosin Studies (77 papers), Cardiovascular Function and Risk Factors (75 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (61 papers), Lysosomal Storage Disorders Research (27 papers), Immune Cell Function and Interaction (26 papers) and Cardiovascular Effects of Exercise (25 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (12.7k citations), Radiology, Nuclear Medicine and Imaging (8.7k citations), Nephrology (1.3k citations), Immunology (3.9k citations) and Oncology (3.2k citations). James Moon has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Dudley J. Pennell, Marc K. Jenkins, Marianna Fontana, Andrew Flett, Philip N. Hawkins, Perry Elliott, Peter Kellman, William J. McKenna, Thomas A. Treibel and Gillian Smith. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Journal of Clinical Oncology, European Heart Journal - Cardiovascular Imaging, JACC. Cardiovascular imaging and Journal of the American College of Cardiology.

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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