S. Unger
- Oncology top 10%
- Pulmonary and Respiratory Medicine
- Surgery
- Cardiology and Cardiovascular Medicine top 10%
- Pharmacology top 5%
- Co-authors
- Wolfgang MückG. RohdeJ. KuhlmannR FreyGeorg WensingRalph T. SchermulyRobert VoswinckelFriedrich Grimminger
- Topics
- Analytical Methods in Pharmaceuticals (6 papers)Lipoproteins and Cardiovascular Health (5 papers)Computational Drug Discovery Methods (4 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
S. Unger
18 papers receiving 680 citations
Peers
Comparison fields: 5 of 86
- Oncology 257
- Pulmonary and Respiratory Medicine 184
- Surgery 180
- Cardiology and Cardiovascular Medicine 168
- Pharmacology 139
Countries citing papers authored by S. Unger
This map shows the geographic impact of S. Unger'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 S. Unger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Unger more than expected).
Fields of papers citing papers by S. Unger
This network shows the impact of papers produced by S. Unger. 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 S. Unger. The network helps show where S. Unger may publish in the future.
Co-authorship network of co-authors of S. Unger
This figure shows the co-authorship network connecting the top 25 collaborators of S. Unger. A scholar is included among the top collaborators of S. Unger 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 S. Unger. S. Unger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 23 | |
| 5 | 1 | |
| 6 | 188 | |
| 7 | 4 | |
| 8 | 134 | |
| 9 | 10 | |
| 10 | 39 | |
| 11 | 7 | |
| 12 | 113 | |
| 13 | Pharmacokinetic variability of nimodipine disposition after single and multiple oral dosing to hypertensive renal failure patients: parametric and nonparametric population analysis. | 2 |
| 14 | 29 | |
| 15 | 51 | |
| 16 | Grapefruit juice increases oral nimodipine bioavailability. | 53 |
| 17 | Test-retest reliability and influence of practice effects on performance in a multi-user computerized psychometric test system for use in clinical pharmacological studies. | 8 |
| 18 | Absolute and relative bioavailability of the HMG-CoA reductase inhibitor cerivastatin. | 50 |
| 19 | 4 |
About S. Unger
S. Unger is a scholar working on Analytical Chemistry, Pharmacology and Geriatrics and Gerontology, having authored 19 papers that have together received 724 indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (6 papers), Lipoproteins and Cardiovascular Health (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Pharmacology (139 citations), Oncology (257 citations) and Cardiology and Cardiovascular Medicine (168 citations). S. Unger has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Wolfgang Mück, G. Rohde, J. Kuhlmann, R Frey, Georg Wensing, Ralph T. Schermuly, Robert Voswinckel, Friedrich Grimminger, Hossein Ardeschir Ghofrani and Norbert Weißmann. Their work appears in journals such as European Heart Journal, European Respiratory Journal and Clinical Pharmacology & Therapeutics.
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.