Robert J. Riley
Impact in
- Pharmacology top 0.05%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Oncology top 2%
- Drug Transport and Resistance Mechanisms
Papers in
- Pharmacology 61
- Pharmacogenetics and Drug Metabolism 58
- Drug-Induced Hepatotoxicity and Protection 17
- Oncology 45
- Drug Transport and Resistance Mechanisms 43
- Co-authors
- Dermot F. McGinnityMatthew G. SoarsRupert P. AustinPaul WorkmanPatrick BartonKen GrimePeter J. H. WebbornBrian Burchell
- Journals
- Drug Metabolism and Disposition (21 papers)Biochemical Pharmacology (7 papers)Xenobiotica (6 papers)Expert Opinion on Drug Metabolism & Toxicology (5 papers)Current Drug Metabolism (3 papers)
- Partner nations
- United KingdomCanadaSingapore
In The Last Decade
Robert J. Riley
75 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 116
- Pharmacology 2.3k
- Oncology 1.6k
- Toxicology 192
- Computational Theory and Mathematics 690
- Spectroscopy 426
Countries citing papers authored by Robert J. Riley
This map shows the geographic impact of Robert J. Riley'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 Robert J. Riley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert J. Riley more than expected).
Fields of papers citing papers by Robert J. Riley
This network shows the impact of papers produced by Robert J. Riley. 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 Robert J. Riley. The network helps show where Robert J. Riley may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert J. Riley, 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 | 2020 | 9 | |
| 2 | 2020 | 63 | |
| 3 | 2018 | 10 | |
| 4 | 2018 | 9 | |
| 5 | 2016 | 19 | |
| 6 | 2013 | 27 | |
| 7 | 2012 | 17 | |
| 8 | 2010 | 12 | |
| 9 | 2009 | 64 | |
| 10 | 2007 | 117 | |
| 11 | 2007 | 59 | |
| 12 | 2006 | 27 | |
| 13 | 2006 | 34 | |
| 14 | 2004 | 140 | |
| 15 | 2004 | 223 | |
| 16 | 2002 | 320 | |
| 17 | 2002 | 174 | |
| 18 | 1993 | 27 | |
| 19 | 1992 | 67 | |
| 20 | 1990 | 4 |
About Robert J. Riley
Robert J. Riley is a scholar working on Pharmacology, Oncology, Toxicology, Computational Theory and Mathematics and Biochemistry, having authored 75 papers that have together received 4.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (58 papers), Drug Transport and Resistance Mechanisms (43 papers), Drug-Induced Hepatotoxicity and Protection (17 papers), Computational Drug Discovery Methods (11 papers), Pharmacological Effects and Toxicity Studies (8 papers), Analytical Chemistry and Chromatography (5 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and Cancer therapeutics and mechanisms (4 papers). The work is most often cited by research in Pharmacology (2.3k citations), Oncology (1.6k citations), Toxicology (192 citations), Computational Theory and Mathematics (690 citations) and Spectroscopy (426 citations). Robert J. Riley has collaborated with scholars based in United Kingdom, Canada and Singapore. Frequent co-authors include Dermot F. McGinnity, Matthew G. Soars, Rupert P. Austin, Paul Workman, Patrick Barton, Ken Grime, Peter J. H. Webborn, Brian Burchell, J. Steven Leeder and Scott L. Cockroft. Their work appears in journals such as Drug Metabolism and Disposition, Biochemical Pharmacology, Xenobiotica, Expert Opinion on Drug Metabolism & Toxicology and Current Drug Metabolism.
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.