Stephan Sachs
Impact in
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- Diabetes Treatment and Management
- Physiology top 10%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
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- Adipokines, Inflammation, and Metabolic Diseases 4
- Liver Disease Diagnosis and Treatment 1
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- Adipose Tissue and Metabolism 4
- Co-authors
- Susanna M. Hofmann (11 shared papers)Timo D. Müller (7 shared papers)Matthias H. Tschöp (7 shared papers)Maximilian Kleinert (4 shared papers)Kirk M. Habegger (1 shared paper)Frauke Neff (2 shared papers)Kerstin Stemmer (3 shared papers)Lili Niu (2 shared papers)
- Journals
- Molecular Metabolism (4 papers)Diabetologia (2 papers)Diabetes Obesity and Metabolism (1 paper)Molecular Pharmacology (1 paper)Trends in Pharmacological Sciences (1 paper)
- Partner nations
- GermanyUnited StatesDenmark
In The Last Decade
Stephan Sachs
15 papers receiving 742 citations
Peers
Comparison fields: 5 of 77
- Endocrinology, Diabetes and Metabolism 200
- Physiology 225
- Epidemiology 199
- Endocrine and Autonomic Systems 35
- Cell Biology 75
Countries citing papers authored by Stephan Sachs
This map shows the geographic impact of Stephan Sachs'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 Stephan Sachs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Sachs more than expected).
Fields of papers citing papers by Stephan Sachs
This network shows the impact of papers produced by Stephan Sachs. 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 Stephan Sachs. The network helps show where Stephan Sachs may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan Sachs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 207 | |
| 2 | 2019 | 144 | |
| 3 | 2019 | 109 | |
| 4 | 2017 | 88 | |
| 5 | 2017 | 61 | |
| 6 | 2017 | 30 | |
| 7 | 2020 | 28 | |
| 8 | 2020 | 16 | |
| 9 | 2018 | 16 | |
| 10 | 2023 | 12 | |
| 11 | 2018 | 10 | |
| 12 | 2020 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2023 | 6 | |
| 15 | 1979 | 3 |
About Stephan Sachs
Stephan Sachs is a scholar working on Epidemiology, Physiology, Surgery, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 15 papers that have together received 747 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Adipose Tissue and Metabolism (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Diabetes Treatment and Management (3 papers), Pancreatic function and diabetes (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Diabetes and associated disorders (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (200 citations), Physiology (225 citations), Epidemiology (199 citations), Endocrine and Autonomic Systems (35 citations) and Cell Biology (75 citations). Stephan Sachs has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Susanna M. Hofmann, Timo D. Müller, Matthias H. Tschöp, Maximilian Kleinert, Kirk M. Habegger, Frauke Neff, Kerstin Stemmer, Lili Niu, Philipp E. Geyer and Nicolai J. Wewer Albrechtsen. Their work appears in journals such as Molecular Metabolism, Diabetologia, Diabetes Obesity and Metabolism, Molecular Pharmacology and Trends in Pharmacological Sciences.
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.