Stefan Mutter
Impact in
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- Diabetes Management and Research
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- Chronic Kidney Disease and Diabetes
Papers in
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- Diabetes Management and Research 4
- Diabetes, Cardiovascular Risks, and Lipoproteins 2
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- Liver Disease Diagnosis and Treatment 5
- Co-authors
- Per-Henrik Groop (19 shared papers)Carol M. Forsblom (8 shared papers)Valma Harjutsalo (12 shared papers)Aila J. Ahola (2 shared papers)Mark Michael Hall (1 shared paper)Eibe Frank (1 shared paper)Erika Bezerra Parente (6 shared papers)Niina Sandholm (8 shared papers)
- Journals
- Diabetes Care (5 papers)Cardiovascular Diabetology (4 papers)Diabetes Research and Clinical Practice (3 papers)Diabetologia (2 papers)Scientific Reports (2 papers)
- Partner nations
- FinlandAustraliaUnited States
In The Last Decade
Stefan Mutter
24 papers receiving 317 citations
Peers
Comparison fields: 5 of 78
- Endocrinology, Diabetes and Metabolism 55
- Nephrology 20
- Health Information Management 11
- Physiology 44
- Information Systems 29
Countries citing papers authored by Stefan Mutter
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
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.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 46 | |
| 2 | 2019 | 45 | |
| 3 | 2004 | 42 | |
| 4 | 2020 | 42 | |
| 5 | 2021 | 26 | |
| 6 | 1997 | 22 | |
| 7 | 2018 | 22 | |
| 8 | 2020 | 15 | |
| 9 | 2019 | 9 | |
| 10 | 2024 | 7 | |
| 11 | 2017 | 7 | |
| 12 | 2022 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2025 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2008 | 3 | |
| 20 | 2024 | 2 |
About Stefan Mutter
Stefan Mutter is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Physiology, Molecular Biology and Artificial Intelligence, having authored 29 papers that have together received 327 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Diabetes Management and Research (4 papers), Machine Learning in Bioinformatics (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Dietary Effects on Health (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (55 citations), Nephrology (20 citations), Health Information Management (11 citations), Physiology (44 citations) and Information Systems (29 citations). Stefan Mutter has collaborated with scholars based in Finland, Australia and United States. Frequent co-authors include Per-Henrik Groop, Carol M. Forsblom, Valma Harjutsalo, Aila J. Ahola, Mark Michael Hall, Eibe Frank, Erika Bezerra Parente, Niina Sandholm, Aaron Edward Casey and Lena M. Thorn. Their work appears in journals such as Diabetes Care, Cardiovascular Diabetology, Diabetes Research and Clinical Practice, Diabetologia and Scientific Reports.
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.