M Zaigler
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Coffee research and impacts
- Drug-Induced Hepatotoxicity and Protection
- Antibiotics Pharmacokinetics and Efficacy
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- Drug Transport and Resistance Mechanisms
- Cancer Treatment and Pharmacology
Papers in
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- Pharmacogenetics and Drug Metabolism 8
- Antibiotics Pharmacokinetics and Efficacy 1
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- Chemical Reactions and Isotopes 2
- Drug Solubulity and Delivery Systems 1
- Co-authors
- Uwe Fuhr (9 shared papers)I. Tantcheva‐Poór (2 shared papers)Stephan Rietbrock (3 shared papers)A. H. Staib (2 shared papers)J. Kuhlmann (1 shared paper)Douglas Barthold (1 shared paper)Jędrzej Szymański (1 shared paper)K. T. E. Beckurts (1 shared paper)
- Journals
- Clinical Pharmacology & Therapeutics (1 paper)International Journal of Clinical Pharmacology and Therapeutics (5 papers)PubMed (3 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
M Zaigler
9 papers receiving 360 citations
Peers
Comparison fields: 5 of 74
- Pharmacology 209
- Pharmacology 103
- Oncology 101
- Pediatrics, Perinatology and Child Health 51
- Endocrinology, Diabetes and Metabolism 40
Countries citing papers authored by M Zaigler
This map shows the geographic impact of M Zaigler'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 M Zaigler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Zaigler more than expected).
Fields of papers citing papers by M Zaigler
This network shows the impact of papers produced by M Zaigler. 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 M Zaigler. The network helps show where M Zaigler may publish in the future.
Co-authors
The 25 scholars most cited alongside M Zaigler, 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 | Estimation of cytochrome P-450 CYP1A2 activity in 863 healthy Caucasians using a saliva-based caffeine test. | 1999 | 152 |
| 2 | Grapefruit juice increases oral nimodipine bioavailability. | 1998 | 53 |
| 3 | 2001 | 38 | |
| 4 | 2000 | 34 | |
| 5 | 1999 | 30 | |
| 6 | 2000 | 27 | |
| 7 | 2004 | 18 | |
| 8 | Omeprazole weakly inhibits CYP1A2 activity in man. | 1999 | 15 |
| 9 | 2005 | 13 |
About M Zaigler
M Zaigler is a scholar working on Pharmacology, Pharmaceutical Science, Molecular Biology, Pharmacology and Oncology, having authored 9 papers that have together received 380 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Chemical Reactions and Isotopes (2 papers), Drug Solubulity and Delivery Systems (1 paper), Cancer Treatment and Pharmacology (1 paper), Analytical Methods in Pharmaceuticals (1 paper), Gastrointestinal motility and disorders (1 paper), Cancer therapeutics and mechanisms (1 paper) and Antibiotics Pharmacokinetics and Efficacy (1 paper). The work is most often cited by research in Pharmacology (209 citations), Pharmacology (103 citations), Oncology (101 citations), Pediatrics, Perinatology and Child Health (51 citations) and Endocrinology, Diabetes and Metabolism (40 citations). M Zaigler has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Uwe Fuhr, I. Tantcheva‐Poór, Stephan Rietbrock, A. H. Staib, J. Kuhlmann, Douglas Barthold, Jędrzej Szymański, K. T. E. Beckurts, Henning Blume and S. Unger. Their work appears in journals such as Clinical Pharmacology & Therapeutics, International Journal of Clinical Pharmacology and Therapeutics and PubMed.
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.