Anke Tönjes

52.9k citations
257 papers · 36.8k · 29 hit papers · h-index 76

Impact in

  • Genetics top 0.05%
    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock
  • Nephrology top 0.2%

Papers in

Anke Tönjes

249 papers receiving 36.0k citations

Anke Tönjes's Hit Papers

Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention 2022 · 137 citations
1370+3+6Years since publication4008001.2k

Peers

Anke Tönjes
Comparison fields: 5 of 201
  • Genetics 14.9k
  • Nephrology 1.8k
  • Endocrine and Autonomic Systems 1.3k
  • Endocrinology, Diabetes and Metabolism 3.2k
  • Physiology 4.3k
Replace Jeffrey R. O’Connell with:
Jeffrey R. O’Connell United States
Mary Furlan Feitosa United States
Thomas Illig Germany
Dawn M. Waterworth United Kingdom
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Citations per year

Countries citing papers authored by Anke Tönjes

Since Specialization
Citations

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

Fields of papers citing papers by Anke Tönjes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 257 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
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
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20102419
3
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
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20101842
4
Hundreds of variants clustered in genomic loci and biological pathways affect human height
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20101546
5
Defining the role of common variation in the genomic and biological architecture of adult human height
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20141377
6
Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression
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20211270
7
New genetic loci link adipose and insulin biology to body fat distribution
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20151228
8
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
9
New loci associated with kidney function and chronic kidney disease
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2010695
10
A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance
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2012669
11
Genome-wide association analyses identify 18 new loci associated with serum urate concentrations
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2012666
12
Genomic insights into the origin of farming in the ancient Near East
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2016665
13
A catalog of genetic loci associated with kidney function from analyses of a million individuals
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2019605
14
Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes
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2018602
15
The power of genetic diversity in genome-wide association studies of lipids
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2021583
16
Sequence variants at CHRNB3–CHRNA6 and CYP2A6 affect smoking behavior
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2010573
17 2010544
18
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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2015542
19
An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans
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2017541
20
Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture
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2013512

About Anke Tönjes

Anke Tönjes is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Physiology, Epidemiology and Molecular Biology, having authored 257 papers that have together received 36.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (70 papers), Adipokines, Inflammation, and Metabolic Diseases (25 papers), Epigenetics and DNA Methylation (25 papers), Adipose Tissue and Metabolism (25 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers), Birth, Development, and Health (13 papers), Pancreatic function and diabetes (11 papers) and Pituitary Gland Disorders and Treatments (11 papers). The work is most often cited by research in Genetics (14.9k citations), Nephrology (1.8k citations), Endocrine and Autonomic Systems (1.3k citations), Endocrinology, Diabetes and Metabolism (3.2k citations) and Physiology (4.3k citations). Anke Tönjes has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Michael Stumvoll, Matthias Blüher, Peter Louis Kovacs, Mathias Faßhauer, Nora Klöting, Markus Scholz, Jürgen Kratzsch, Dorit Schleinitz, Ralf Paschke and Yvonne Böttcher. Their work appears in journals such as Nature Genetics, PLoS ONE, Nature, Nature Communications 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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