Stephan Schaller
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
-
- Diabetes Management and Research
Papers in
-
- Diabetes Management and Research 4
- Diabetes Treatment and Management 3
- Co-authors
- Jörg Lippert (5 shared papers)Thomas Eißing (6 shared papers)Lars Kuepfer (5 shared papers)Markus Krauß (2 shared papers)Steffen Borchers (1 shared paper)Rolf Findeisen (1 shared paper)Thomas R. Pieber (2 shared papers)Andreas Schuppert (3 shared papers)
- Journals
- CPT Pharmacometrics & Systems Pharmacology (5 papers)Frontiers in Physiology (2 papers)Archives of Toxicology (2 papers)Environment International (2 papers)Pharmaceutics (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Stephan Schaller
27 papers receiving 392 citations
Peers
Comparison fields: 5 of 86
- Pharmacology 77
- Endocrinology, Diabetes and Metabolism 53
- Health, Toxicology and Mutagenesis 36
- Computational Theory and Mathematics 39
- Statistics and Probability 18
Countries citing papers authored by Stephan Schaller
This map shows the geographic impact of Stephan Schaller'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 Schaller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Schaller more than expected).
Fields of papers citing papers by Stephan Schaller
This network shows the impact of papers produced by Stephan Schaller. 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 Schaller. The network helps show where Stephan Schaller may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan Schaller, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 86 | |
| 2 | 2019 | 81 | |
| 3 | 2013 | 54 | |
| 4 | 2015 | 24 | |
| 5 | 2022 | 18 | |
| 6 | 2024 | 15 | |
| 7 | 2018 | 14 | |
| 8 | 2025 | 11 | |
| 9 | 2025 | 10 | |
| 10 | 2017 | 10 | |
| 11 | 2016 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2025 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2024 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2015 | 5 | |
| 20 | 2024 | 5 |
About Stephan Schaller
Stephan Schaller is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Computational Theory and Mathematics, Biomedical Engineering and Oncology, having authored 31 papers that have together received 402 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Diabetes Management and Research (4 papers), Diabetes Treatment and Management (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Animal Nutrition and Physiology (3 papers), 3D Printing in Biomedical Research (3 papers), Pancreatic function and diabetes (3 papers) and Pharmaceutical studies and practices (2 papers). The work is most often cited by research in Pharmacology (77 citations), Endocrinology, Diabetes and Metabolism (53 citations), Health, Toxicology and Mutagenesis (36 citations), Computational Theory and Mathematics (39 citations) and Statistics and Probability (18 citations). Stephan Schaller has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Jörg Lippert, Thomas Eißing, Lars Kuepfer, Markus Krauß, Steffen Borchers, Rolf Findeisen, Thomas R. Pieber, Andreas Schuppert, Thorsten Lehr and Stefan Willmann. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Frontiers in Physiology, Archives of Toxicology, Environment International and Pharmaceutics.
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.