Stefan Mutter

431 citations
24 papers · 222 · h-index 8

Impact in

Papers in

Stefan Mutter

19 papers receiving 219 citations

Peers

Stefan Mutter
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 80
  • Nephrology 22
  • Physiology 63
  • Epidemiology 52
  • Cardiology and Cardiovascular Medicine 29
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Kyaw Soe United States
Ivan Kruljac Croatia
Honglin Hu China
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Ionela Mihaela Vladu Romania
Egemen Cebeci Türkiye
Miao Xu China
Abraham S. Meijnikman Netherlands
Amirhossein Yadegar Iran
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Citations per field
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Citations per year

Countries citing papers authored by Stefan Mutter

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Mutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201941
2 202139
3 202033
4 199719
5 202119
6 201816
7 202014
8 20197
9 20177
10 20225
11 20234
12 20224
13 20224
14 20243
15
A discriminative approach to structured biological data
20072
16 20251
17 20241
18
Waist-height ratio and waist circumference are the best estimators of visceral fat in type 1 diabetes independently of diabetic nephropathy
20201
19 20131
20
Unternehmerische Entscheidungen und Haftung des Aufsichtsrats der Aktiengesellschaft
19941

About Stefan Mutter

Stefan Mutter is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Cardiology and Cardiovascular Medicine, Physiology and Molecular Biology, having authored 24 papers that have together received 222 indexed citations. Recurring topics across this work include Diabetes Management and Research (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Diabetes Treatment and Management (5 papers), Cardiovascular Function and Risk Factors (3 papers), Diet, Metabolism, and Disease (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diabetes and associated disorders (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (80 citations), Nephrology (22 citations), Physiology (63 citations), Epidemiology (52 citations) and Cardiology and Cardiovascular Medicine (29 citations). Stefan Mutter has collaborated with scholars based in Finland, Australia and United States. Frequent co-authors include Per‐Henrik Groop, Carol Forsblom, Valma Harjutsalo, Aila J. Ahola, Erika B. Parente, Niina Sandholm, Daniel Gordin, Aaron Casey, Peter Würtz and Song Gao. Their work appears in journals such as Cardiovascular Diabetology, Diabetes Care, Diabetes Research and Clinical Practice, Scientific Reports and Nutrients.

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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