Anke Tönjes

51.1k citations
150 papers · 3.8k · h-index 33

Impact in

Papers in

Anke Tönjes

140 papers receiving 3.7k citations

Peers

Anke Tönjes
Comparison fields: 5 of 132
  • Endocrinology, Diabetes and Metabolism 585
  • Physiology 904
  • Endocrine and Autonomic Systems 182
  • Epidemiology 798
  • Rehabilitation 133
Replace Jürgen Kratzsch with:
Jürgen Kratzsch Germany
Julio E. Ayala United States
Bryan C. Bergman United States
Vincent Aguirre United States
Dominik Pesta Germany
Julia Szendroedi Germany
Margaret F. Gregor United States
Frederico G. S. Toledo United States
Irina Kowalska Poland
Sonia M. Najjar United States
Anke Tönjes relative to Jürgen Kratzsch Germany Jürgen Kratzsch's profile →
Citations per field
00.5×1.7×
Jürgen Kratzsch · 1×
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 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006164
2 2005156
3 2013152
4 2006134
5 2014117
6 2018111
7 2022106
8 2010105
9 2009101
10 201596
11 201588
12 200882
13 200779
14 200969
15 201666
16 200963
17 201561
18 201260
19 201858
20 200855

About Anke Tönjes

Anke Tönjes is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Epidemiology, Physiology and Genetics, having authored 150 papers that have together received 3.8k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (21 papers), Adipose Tissue and Metabolism (20 papers), Pituitary Gland Disorders and Treatments (12 papers), Genetic Associations and Epidemiology (12 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Eating Disorders and Behaviors (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers) and Metabolism, Diabetes, and Cancer (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (585 citations), Physiology (904 citations), Endocrine and Autonomic Systems (182 citations), Epidemiology (798 citations) and Rehabilitation (133 citations). Anke Tönjes has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Michael Stümvoll, Matthias Blüher, Péter Kovács, Mathias Faßhauer, Nora Klöting, Markus Scholz, Dorit Schleinitz, Ralf Paschke, Yvonne Böttcher and Jürgen Kratzsch. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Experimental and Clinical Endocrinology & Diabetes and International Journal of Obesity.

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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