Christopher J. O’Donnell

132.5k citations
628 papers · 101.6k · 52 hit papers · h-index 154

Impact in

Papers in

    • Cardiovascular Function and Risk Factors 38
    • Cardiovascular Health and Disease Prevention 34
    • Cardiovascular Disease and Adiposity 30
    • Blood Pressure and Hypertension Studies 23
    • Cardiac electrophysiology and arrhythmias 20
    • Genetic Associations and Epidemiology 139

Christopher J. O’Donnell

624 papers receiving 98.1k citations

Christopher J. O’Donnell's Hit Papers

Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program 2024 · 151 citations
1510+2+5Years since publication250500750

Peers

Christopher J. O’Donnell
Comparison fields: 5 of 218
  • Cardiology and Cardiovascular Medicine 25.1k
  • Genetics 19.0k
  • Endocrinology, Diabetes and Metabolism 9.3k
  • Nephrology 3.1k
  • Physiology 8.3k
Replace James B. Meigs with:
James B. Meigs United States
Bruce M. Psaty United States
Veikko Salomaa Finland
Albert Hofman Netherlands
Julie E. Buring United States
Olle Melander Sweden
Heribert Schunkert Germany
John Danesh United Kingdom
Rory Collins United Kingdom
Nilesh J. Samani United Kingdom
Christopher J. O’Donnell relative to James B. Meigs United States James B. Meigs's profile →
Citations per field
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Citations per year

Countries citing papers authored by Christopher J. O’Donnell

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. O’Donnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. O’Donnell. 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 Christopher J. O’Donnell. The network helps show where Christopher J. O’Donnell may publish in the future.

Co-authors

The 25 scholars most cited alongside Christopher J. O’Donnell, 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 Christopher J. O’Donnell Line = papers co-authored together Christopher J. O’Donnell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 628 papers — load more, or switch the sort, to bring in the rest.

#Work
1
2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk
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20134388
2
Heart Disease and Stroke Statistics—2009 Update
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20093374
3
2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk
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20133057
4
Biological, clinical and population relevance of 95 loci for blood lipids
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20102946
5
Heart Disease and Stroke Statistics—2009 Update
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20082805
6
Metabolite profiles and the risk of developing diabetes
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20112637
7
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
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20102419
8
Abdominal Visceral and Subcutaneous Adipose Tissue Compartments
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20072402
9
Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk
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20111677
10
Impact of High-Normal Blood Pressure on the Risk of Cardiovascular Disease
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20011634
11
Hundreds of variants clustered in genomic loci and biological pathways affect human height
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20101546
12
Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease
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20111541
13
Large-scale association analysis identifies new risk loci for coronary artery disease
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20121341
14
Common variants at 30 loci contribute to polygenic dyslipidemia
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20081177
15
SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap
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20081161
16
Genome-wide association study of blood pressure and hypertension
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20091142
17
Genome-wide association study identifies eight loci associated with blood pressure
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20091019
18
Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits
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2018990
19
Criteria for Evaluation of Novel Markers of Cardiovascular Risk
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2009938
20
Pericardial Fat, Visceral Abdominal Fat, Cardiovascular Disease Risk Factors, and Vascular Calcification in a Community-Based Sample
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2008886

About Christopher J. O’Donnell

Christopher J. O’Donnell is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Hematology, having authored 628 papers that have together received 101.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (139 papers), Cardiac Imaging and Diagnostics (41 papers), Cardiovascular Function and Risk Factors (38 papers), Cardiovascular Health and Disease Prevention (34 papers), Cardiovascular Disease and Adiposity (30 papers), Blood Pressure and Hypertension Studies (23 papers), Lipoproteins and Cardiovascular Health (22 papers) and Cardiac electrophysiology and arrhythmias (20 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (25.1k citations), Genetics (19.0k citations), Endocrinology, Diabetes and Metabolism (9.3k citations), Nephrology (3.1k citations) and Physiology (8.3k citations). Christopher J. O’Donnell has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Daniel Levy, Ralph B. D’Agostino, Martin G. Larson, Ramachandran Srini Vasan, Caroline S. Fox, Joseph M. Massaro, Peter Wyman Ford Wilson, Donald M. Lloyd‐Jones, L. Adrienne Cupples and Udo Hoffmann. Their work appears in journals such as Circulation, Nature Genetics, The American Journal of Cardiology, Arteriosclerosis Thrombosis and Vascular Biology and Circulation Cardiovascular Genetics.

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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