Tanja Saußele
- Pharmacology top 0.5%
- Infectious Diseases top 5%
- Oncology top 10%
- Virology top 2%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Ulrich M. ZangerKathrin KleinMatthias SchwabJulia BlievernichtMichel EichelbaumMarco H. HofmannElke SchaeffelerWolf‐Hagen Schunck
- Topics
- Pharmacogenetics and Drug Metabolism (7 papers)Drug Transport and Resistance Mechanisms (5 papers)HIV/AIDS drug development and treatment (4 papers)
- Journals
- Journal of Pharmacology and Experimental TherapeuticsClinical Pharmacology & TherapeuticsDrug Metabolism and Disposition
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Tanja Saußele
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 73
- Pharmacology 606
- Infectious Diseases 454
- Oncology 316
- Virology 268
- Pediatrics, Perinatology and Child Health 178
Countries citing papers authored by Tanja Saußele
This map shows the geographic impact of Tanja Saußele'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 Tanja Saußele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanja Saußele more than expected).
Fields of papers citing papers by Tanja Saußele
This network shows the impact of papers produced by Tanja Saußele. 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 Tanja Saußele. The network helps show where Tanja Saußele may publish in the future.
Co-authorship network of co-authors of Tanja Saußele
This figure shows the co-authorship network connecting the top 25 collaborators of Tanja Saußele. A scholar is included among the top collaborators of Tanja Saußele 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 Tanja Saußele. Tanja Saußele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [PCSK9 inhibitors. A new approach for treatment of hypercholesterolemia]. | 1 |
| 2 | [50 years of cytochrome P450. Drug metabolism - from past to present]. | 2 |
| 3 | 172 | |
| 4 | [Supplementation with folic acid before and during pregnancy]. | 2 |
| 5 | [Lacosamide. A new antiepileptic drug as adjunctive therapy in patients with partial-onset seizures]. | 4 |
| 6 | 208 | |
| 7 | 17 | |
| 8 | 50 | |
| 9 | 196 | |
| 10 | 183 | |
| 11 | 73 | |
| 12 | 211 | |
| 13 | 30 |
About Tanja Saußele
Tanja Saußele is a scholar working on Pharmacology, Virology and Infectious Diseases, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (7 papers), Drug Transport and Resistance Mechanisms (5 papers) and HIV/AIDS drug development and treatment (4 papers). The work is most often cited by research in Pharmacology (606 citations), Virology (268 citations) and Infectious Diseases (454 citations). Tanja Saußele has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Ulrich M. Zanger, Kathrin Klein, Matthias Schwab, Julia Blievernicht, Michel Eichelbaum, Marco H. Hofmann, Elke Schaeffeler, Wolf‐Hagen Schunck, Thomas Lang and Eduardo Barbosa‐Sicard. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Clinical Pharmacology & Therapeutics and Drug Metabolism and Disposition.
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.