Ingrid B. Borecki

67.1k citations
358 papers · 51.6k · 32 hit papers · h-index 96

Impact in

Papers in

    • Genetic Associations and Epidemiology 135
    • Genetic Mapping and Diversity in Plants and Animals 40
    • Genetic and phenotypic traits in livestock 26
    • Genetics and Physical Performance 16
    • Diabetes, Cardiovascular Risks, and Lipoproteins 26

Ingrid B. Borecki

353 papers receiving 50.1k citations

Ingrid B. Borecki's Hit Papers

Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals 2022 · 380 citations
3800+4+8Years since publication10002.0k3.0k

Peers

Ingrid B. Borecki
Comparison fields: 5 of 224
  • Genetics 20.5k
  • Endocrinology, Diabetes and Metabolism 5.9k
  • Endocrine and Autonomic Systems 1.9k
  • Cancer Research 3.1k
  • Physiology 5.5k
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Citations per field
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Citations per year

Countries citing papers authored by Ingrid B. Borecki

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid B. Borecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ingrid B. Borecki. 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 Ingrid B. Borecki. The network helps show where Ingrid B. Borecki may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 358 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 →
20153477
2
Biological, clinical and population relevance of 95 loci for blood lipids
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20102946
3
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
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20102419
4
Discovery and refinement of loci associated with lipid levels
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20132380
5
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
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20101842
6
Hundreds of variants clustered in genomic loci and biological pathways affect human height
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20101546
7
Defining the role of common variation in the genomic and biological architecture of adult human height
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20141377
8
New genetic loci link adipose and insulin biology to body fat distribution
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20151228
9
Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries
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20181083
10
Characterizing the cancer genome in lung adenocarcinoma
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2007924
11
Genome-wide association study identifies 74 loci associated with educational attainment
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2016914
12
Genome-Wide Association Analysis Identifies Variants Associated with Nonalcoholic Fatty Liver Disease That Have Distinct Effects on Metabolic Traits
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2011833
13
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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2010782
14
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
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2010761
15
Common variants associated with plasma triglycerides and risk for coronary artery disease
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2013727
16
Genetic and Pharmacologic Inactivation of ANGPTL3 and Cardiovascular Disease
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2017704
17
Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways
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2012698
18
New loci associated with kidney function and chronic kidney disease
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2010695
19
A Protein-Truncating HSD17B13 Variant and Protection from Chronic Liver Disease
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2018674
20
A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance
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2012669

About Ingrid B. Borecki

Ingrid B. Borecki is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Epidemiology, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 358 papers that have together received 51.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (135 papers), Genetic Mapping and Diversity in Plants and Animals (40 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (26 papers), Genetic and phenotypic traits in livestock (26 papers), Liver Disease Diagnosis and Treatment (25 papers), Lipid metabolism and disorders (22 papers), Adipose Tissue and Metabolism (17 papers) and Genetics and Physical Performance (16 papers). The work is most often cited by research in Genetics (20.5k citations), Endocrinology, Diabetes and Metabolism (5.9k citations), Endocrine and Autonomic Systems (1.9k citations), Cancer Research (3.1k citations) and Physiology (5.5k citations). Ingrid B. Borecki has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Michael A. Province, Donna K. Arnett, Claude Bouchard, Treva Rice, D. C. Rao, José María Ordovás, D. C. Rao, Paul Nathan Hopkins, Louis Përusse and Richard H. Myers. Their work appears in journals such as Genetic Epidemiology, Nature Genetics, PLoS Genetics, Atherosclerosis and Nature Communications.

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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