Stephan Scherneck
- Molecular Biology
- Physiology top 10%
- Surgery top 10%
- Genetics top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Annette SchürmannHans‐Georg JoostReinhart KlugeHeike VogelSusanne NeschenHadi Al‐HasaniOliver KluthAlexandra Chadt
- Topics
- Pancreatic function and diabetes (16 papers)Adipose Tissue and Metabolism (10 papers)Adipokines, Inflammation, and Metabolic Diseases (5 papers)
- Journals
- Nature GeneticsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Stephan Scherneck
40 papers receiving 896 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 430
- Physiology 326
- Surgery 284
- Genetics 215
- Endocrinology, Diabetes and Metabolism 118
Countries citing papers authored by Stephan Scherneck
This map shows the geographic impact of Stephan Scherneck'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 Scherneck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Scherneck more than expected).
Fields of papers citing papers by Stephan Scherneck
This network shows the impact of papers produced by Stephan Scherneck. 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 Scherneck. The network helps show where Stephan Scherneck may publish in the future.
Co-authorship network of co-authors of Stephan Scherneck
This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Scherneck. A scholar is included among the top collaborators of Stephan Scherneck based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephan Scherneck. Stephan Scherneck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | Boliden auf der Intensivstation: Wie viel Antibiotika verbraucht Ihre Nierenersatztherapie pro Tag? | 1 |
| 6 | 36 | |
| 7 | 23 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 15 | |
| 11 | 8 | |
| 12 | 55 | |
| 13 | 29 | |
| 14 | 73 | |
| 15 | 11 | |
| 16 | 16 | |
| 17 | 61 | |
| 18 | 160 | |
| 19 | 27 | |
| 20 | 43 |
About Stephan Scherneck
Stephan Scherneck is a scholar working on Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 41 papers that have together received 907 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (16 papers), Adipose Tissue and Metabolism (10 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Physiology (326 citations), Endocrine and Autonomic Systems (77 citations) and Genetics (215 citations). Stephan Scherneck has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Annette Schürmann, Hans‐Georg Joost, Reinhart Kluge, Heike Vogel, Susanne Neschen, Hadi Al‐Hasani, Oliver Kluth, Alexandra Chadt, Petra Wiedmer and Daniel R. Kaiser. Their work appears in journals such as Nature Genetics, SHILAP Revista de lepidopterología and PLoS ONE.
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.