Thomas Quertermous

61.6k citations
371 papers · 50.1k · 24 hit papers · h-index 97

Impact in

Papers in

    • Genetic Associations and Epidemiology 102
    • Atherosclerosis and Cardiovascular Diseases 43

Thomas Quertermous

367 papers receiving 48.8k citations

Thomas Quertermous's Hit Papers

Atheroprotective roles of smooth muscle cell phenotypic modulation and the TCF21 disease gene as revealed by single-cell analysis 2019 · 631 citations
6310+4+8Years since publication1k2k3k

Peers

Thomas Quertermous
Comparison fields: 5 of 179
  • Genetics 19.7k
  • Cardiology and Cardiovascular Medicine 4.9k
  • Immunology 3.6k
  • Endocrine and Autonomic Systems 820
  • Physiology 3.6k
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Citations per year

Countries citing papers authored by Thomas Quertermous

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Quertermous

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 371 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genetic studies of body mass index yield new insights for obesity biology
Hit paper breakdown →
20153536
2
Biological, clinical and population relevance of 95 loci for blood lipids
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20102966
3
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
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20102434
4
Discovery and refinement of loci associated with lipid levels
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20132415
5
A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease
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20151904
6
Hundreds of variants clustered in genomic loci and biological pathways affect human height
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20101569
7
Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease
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20111563
8
Defining the role of common variation in the genomic and biological architecture of adult human height
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20141408
9
Large-scale association analysis identifies new risk loci for coronary artery disease
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20121351
10
New genetic loci link adipose and insulin biology to body fat distribution
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20151258
11
Genome-wide meta-analyses identify multiple loci associated with smoking behavior
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2010905
12
Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution
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2010788
13
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
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2010761
14
Common variants associated with plasma triglycerides and risk for coronary artery disease
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2013732
15
Opportunities and challenges for transcriptome-wide association studies
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2019636
16
Atheroprotective roles of smooth muscle cell phenotypic modulation and the TCF21 disease gene as revealed by single-cell analysis
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2019631
17
A long noncoding RNA protects the heart from pathological hypertrophy
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2014621
18
CD47-blocking antibodies restore phagocytosis and prevent atherosclerosis
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2016558
19
The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study
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2015549
20
A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease
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2015545

About Thomas Quertermous

Thomas Quertermous is a scholar working on Genetics, Immunology, Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology, having authored 371 papers that have together received 50.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (102 papers), Atherosclerosis and Cardiovascular Diseases (43 papers), Nitric Oxide and Endothelin Effects (26 papers), Apelin-related biomedical research (23 papers), Angiogenesis and VEGF in Cancer (19 papers), Blood Coagulation and Thrombosis Mechanisms (16 papers), Genomics and Chromatin Dynamics (15 papers) and Lipid metabolism and disorders (14 papers). The work is most often cited by research in Genetics (19.7k citations), Cardiology and Cardiovascular Medicine (4.9k citations), Immunology (3.6k citations), Endocrine and Autonomic Systems (820 citations) and Physiology (3.6k citations). Thomas Quertermous has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Ramendra Krishna Kundu, Kenneth D. Bloch, Philip S. Tsao, Ken‐ichi Hirata, Tatsuro Ishida, Nicholas James Leeper, Euan Angus Ashley, Jonathan G. Seidman, Hyung J. Chun and Yoko Kojima. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics, Circulation Research, Arteriosclerosis Thrombosis and Vascular Biology 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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