Stephan Siebel
Impact in
- Physiology top 10%
- Lysosomal Storage Disorders Research
- Diet and metabolism studies
- Calcium signaling and nucleotide metabolism
-
- Liver Disease Diagnosis and Treatment
Papers in
-
- Metabolism, Diabetes, and Cancer 3
- Histone Deacetylase Inhibitors Research 1
-
- Lysosomal Storage Disorders Research 2
- Co-authors
- Michelle K. Dail (2 shared papers)Forbes D. Porter (2 shared papers)Cynthia L. Toth (2 shared papers)Céline Cluzeau (2 shared papers)Stephanie M. Cologna (2 shared papers)Christopher A. Wassif (2 shared papers)Nicole M. Yanjanin (2 shared papers)Joerg Graf (1 shared paper)
- Journals
- Journal of Lipid Research (1 paper)Cell Metabolism (1 paper)Journal of Inherited Metabolic Disease (1 paper)Diabetes Technology & Therapeutics (1 paper)Breast Cancer Research and Treatment (1 paper)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Stephan Siebel
9 papers receiving 309 citations
Peers
Comparison fields: 5 of 58
- Physiology 32
- Physiology 175
- Epidemiology 88
- Hematology 27
- Endocrinology, Diabetes and Metabolism 35
Countries citing papers authored by Stephan Siebel
This map shows the geographic impact of Stephan Siebel'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 Siebel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Siebel more than expected).
Fields of papers citing papers by Stephan Siebel
This network shows the impact of papers produced by Stephan Siebel. 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 Siebel. The network helps show where Stephan Siebel may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan Siebel, 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 | 2020 | 71 | |
| 2 | 2013 | 70 | |
| 3 | 2020 | 55 | |
| 4 | 2012 | 54 | |
| 5 | 2022 | 41 | |
| 6 | 2013 | 17 | |
| 7 | 2019 | 4 | |
| 8 | 2024 | 2 | |
| 9 | 2025 | 1 |
About Stephan Siebel
Stephan Siebel is a scholar working on Molecular Biology, Physiology, Surgery, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 9 papers that have together received 315 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (3 papers), Pancreatic function and diabetes (2 papers), Lysosomal Storage Disorders Research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Metabolism and Genetic Disorders (1 paper), Diet, Metabolism, and Disease (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Physiology (32 citations), Physiology (175 citations), Epidemiology (88 citations), Hematology (27 citations) and Endocrinology, Diabetes and Metabolism (35 citations). Stephan Siebel has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Michelle K. Dail, Forbes D. Porter, Cynthia L. Toth, Céline Cluzeau, Stephanie M. Cologna, Christopher A. Wassif, Nicole M. Yanjanin, Joerg Graf, Richard Feinn and Bridget Pierpont. Their work appears in journals such as Journal of Lipid Research, Cell Metabolism, Journal of Inherited Metabolic Disease, Diabetes Technology & Therapeutics and Breast Cancer Research and Treatment.
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.