Gerhard Schänzle
Impact in
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- Pain Management and Opioid Use
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
Papers in
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- Pharmacogenetics and Drug Metabolism 4
- Drug-Induced Hepatotoxicity and Protection 2
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- Bioactive natural compounds 1
- Co-authors
- Gerd Mikus (3 shared papers)Klaus Eckhardt (2 shared papers)Shuxia Li (2 shared papers)Susanne Ammon (1 shared paper)Michel Eichelbaum (1 shared paper)Ute Hofmann (2 shared papers)Shuxia Li (1 shared paper)Daniel Bischoff (2 shared papers)
- Journals
- Drug Metabolism and Disposition (2 papers)Pain (2 papers)Bioorganic & Medicinal Chemistry Letters (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Inflammation Research (1 paper)
- Partner nations
- GermanyUnited KingdomItaly
In The Last Decade
Gerhard Schänzle
10 papers receiving 479 citations
Peers
Comparison fields: 5 of 75
- Anesthesiology and Pain Medicine 103
- Pharmacology 161
- Toxicology 38
- Pediatrics, Perinatology and Child Health 102
- Pharmacology 63
Countries citing papers authored by Gerhard Schänzle
This map shows the geographic impact of Gerhard Schänzle'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 Gerhard Schänzle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerhard Schänzle more than expected).
Fields of papers citing papers by Gerhard Schänzle
This network shows the impact of papers produced by Gerhard Schänzle. 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 Gerhard Schänzle. The network helps show where Gerhard Schänzle may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerhard Schänzle, 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 | 1998 | 218 | |
| 2 | 1997 | 71 | |
| 3 | 1999 | 64 | |
| 4 | 2010 | 37 | |
| 5 | 2015 | 31 | |
| 6 | 2019 | 28 | |
| 7 | 2017 | 19 | |
| 8 | 2023 | 18 | |
| 9 | 2012 | 14 | |
| 10 | 2002 | 7 |
About Gerhard Schänzle
Gerhard Schänzle is a scholar working on Pharmacology, Molecular Biology, Organic Chemistry, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 10 papers that have together received 507 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Muscle metabolism and nutrition (1 paper), Epilepsy research and treatment (1 paper), Veterinary Medicine and Surgery (1 paper) and Bioactive natural compounds (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (103 citations), Pharmacology (161 citations), Toxicology (38 citations), Pediatrics, Perinatology and Child Health (102 citations) and Pharmacology (63 citations). Gerhard Schänzle has collaborated with scholars based in Germany, United Kingdom and Italy. Frequent co-authors include Gerd Mikus, Klaus Eckhardt, Shuxia Li, Susanne Ammon, Michel Eichelbaum, Ute Hofmann, Shuxia Li, Daniel Bischoff, Roderich D. Süßmuth and Martin F. Fromm. Their work appears in journals such as Drug Metabolism and Disposition, Pain, Bioorganic & Medicinal Chemistry Letters, Journal of Pharmacology and Experimental Therapeutics and Inflammation Research.
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.