David J. Couper

389 papers receiving 33.2k citations

David J. Couper's Hit Papers

Hearing intervention versus health education control to reduce cognitive decline in older adults with hearing loss in the USA (ACHIEVE): a multicentre, randomised controlled trial 2023 · 265 citations
2650+4+9Years since publication50010001.5k

Peers

David J. Couper
Comparison fields: 5 of 197
  • Periodontics 1.1k
  • Ophthalmology 2.0k
  • Genetics 5.8k
  • Cardiology and Cardiovascular Medicine 3.7k
  • Endocrinology, Diabetes and Metabolism 2.6k
Replace Alan J. Silman with:
Alan J. Silman United Kingdom
Toshiharu Ninomiya Japan
Stephen Burgess United Kingdom
Gary Cutter United States
Aroon Dinesh Hingorani United Kingdom
Trevor John Orchard United States
Gerardo M HEISS United States
William C. Knowler United States
Atsushi Takahashi Japan
Tanja Zeller Germany
David J. Couper relative to Alan J. Silman United Kingdom Alan J. Silman's profile →
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Alan J. Silman · 1×
Citations per year

Countries citing papers authored by David J. Couper

Since Specialization
Citations

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

Fields of papers citing papers by David J. Couper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Couper. 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 David J. Couper. The network helps show where David J. Couper may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 407 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes
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20121560
2
Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis
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20101474
3
Combined Pharmacotherapies and Behavioral Interventions for Alcohol Dependence
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20061422
4
Low-Grade Systemic Inflammation and the Development of Type 2 Diabetes
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2003904
5
Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility
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2014868
6
Simple Risk Model Predicts Incidence of Atrial Fibrillation in a Racially and Geographically Diverse Population: the CHARGE‐AF Consortium
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2013706
7
Retinal Arteriolar Narrowing and Risk of Coronary Heart Disease in Men and Women
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2002694
8
A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance
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2012669
9
Retinal microvascular abnormalities and incident stroke: the Atherosclerosis Risk in Communities Study
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2001663
10
Clinical Significance of Symptoms in Smokers with Preserved Pulmonary Function
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2016564
11 2010544
12
An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans
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2017541
13
Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function
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2009525
14
Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche
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2014458
15
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function
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2016426
16 2010419
17
Small Dense Low-Density Lipoprotein-Cholesterol Concentrations Predict Risk for Coronary Heart Disease
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2014419
18
The ARIC (Atherosclerosis Risk In Communities) Study
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2021402
19
Novel Loci for Adiponectin Levels and Their Influence on Type 2 Diabetes and Metabolic Traits: A Multi-Ethnic Meta-Analysis of 45,891 Individuals
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2012400
20 2008353

About David J. Couper

David J. Couper is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Genetics, Endocrinology, Diabetes and Metabolism and Physiology, having authored 407 papers that have together received 34.4k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (82 papers), Genetic Associations and Epidemiology (36 papers), Asthma and respiratory diseases (18 papers), Cardiovascular Health and Disease Prevention (17 papers), Retinal Imaging and Analysis (16 papers), Retinal Diseases and Treatments (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers) and Epigenetics and DNA Methylation (14 papers). The work is most often cited by research in Periodontics (1.1k citations), Ophthalmology (2.0k citations), Genetics (5.8k citations), Cardiology and Cardiovascular Medicine (3.7k citations) and Endocrinology, Diabetes and Metabolism (2.6k citations). David J. Couper has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Tien Yin Wong, Ronald Klein, A. Richey Sharrett, Gerardo M HEISS, Bruce Bartholow Duncan, Christie Mitchell Ballantyne, Larry D. Hubbard, Aaron R. Folsom, James S. Pankow and Ron C. Hoogeveen. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation, Nature Genetics, American Journal of Epidemiology and PLoS 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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