Stephen Fowler
Impact in
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Oncology top 10%
- Drug Transport and Resistance Mechanisms
Papers in
- Pharmacology 36
- Pharmacogenetics and Drug Metabolism 35
- Drug-Induced Hepatotoxicity and Protection 3
- Oncology 21
- Drug Transport and Resistance Mechanisms 17
- Co-authors
- Neil Parrott (27 shared papers)Hongjian Zhang (1 shared paper)Michael Gertz (5 shared papers)Justine Badée (6 shared papers)Stephan Schmidt (5 shared papers)Abby C. Collier (5 shared papers)Olaf Kuhlmann (4 shared papers)Kenichi Umehara (11 shared papers)
- Journals
- Drug Metabolism and Disposition (11 papers)The AAPS Journal (5 papers)Lab on a Chip (4 papers)Xenobiotica (3 papers)Clinical Pharmacokinetics (3 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Stephen Fowler
47 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Pharmacology 590
- Oncology 303
- Computational Theory and Mathematics 148
- Hepatology 58
- Pediatrics, Perinatology and Child Health 111
Countries citing papers authored by Stephen Fowler
This map shows the geographic impact of Stephen Fowler'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 Stephen Fowler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Fowler more than expected).
Fields of papers citing papers by Stephen Fowler
This network shows the impact of papers produced by Stephen Fowler. 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 Stephen Fowler. The network helps show where Stephen Fowler may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Fowler, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 145 | |
| 2 | 2017 | 95 | |
| 3 | 2020 | 83 | |
| 4 | 2014 | 52 | |
| 5 | 2022 | 52 | |
| 6 | 2019 | 47 | |
| 7 | 2022 | 46 | |
| 8 | 2017 | 39 | |
| 9 | 2000 | 36 | |
| 10 | 2018 | 35 | |
| 11 | 2020 | 32 | |
| 12 | 2018 | 31 | |
| 13 | 2009 | 28 | |
| 14 | 2012 | 28 | |
| 15 | 2017 | 26 | |
| 16 | 2016 | 26 | |
| 17 | 1994 | 25 | |
| 18 | 2002 | 24 | |
| 19 | 2009 | 24 | |
| 20 | 2020 | 23 |
About Stephen Fowler
Stephen Fowler is a scholar working on Pharmacology, Oncology, Molecular Biology, Pediatrics, Perinatology and Child Health and Biomedical Engineering, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (35 papers), Drug Transport and Resistance Mechanisms (17 papers), Lung Cancer Treatments and Mutations (4 papers), 3D Printing in Biomedical Research (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Neonatal Health and Biochemistry (3 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Pharmacology (590 citations), Oncology (303 citations), Computational Theory and Mathematics (148 citations), Hepatology (58 citations) and Pediatrics, Perinatology and Child Health (111 citations). Stephen Fowler has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Neil Parrott, Hongjian Zhang, Michael Gertz, Justine Badée, Stephan Schmidt, Abby C. Collier, Olaf Kuhlmann, Kenichi Umehara, Michael Derks and Aleksandra Galetin. Their work appears in journals such as Drug Metabolism and Disposition, The AAPS Journal, Lab on a Chip, Xenobiotica and Clinical Pharmacokinetics.
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.