Peter Arlett
Impact in
- Toxicology top 0.2%
- Pharmacovigilance and Adverse Drug Reactions
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
Papers in
- Toxicology 33
- Pharmacovigilance and Adverse Drug Reactions 33
-
- Health Systems, Economic Evaluations, Quality of Life 14
- Pharmaceutical Economics and Policy 10
- Co-authors
- Xavier Kurz (14 shared papers)Alison Cave (2 shared papers)Qun‐Ying Yue (2 shared papers)Lindsay M. Henderson (1 shared paper)Carin Bergquist (1 shared paper)Barbro Gerdén (1 shared paper)June Raine (5 shared papers)Georgy Genov (6 shared papers)
- Journals
- Clinical Pharmacology & Therapeutics (17 papers)Pharmacoepidemiology and Drug Safety (13 papers)Drug Safety (10 papers)Nature Reviews Drug Discovery (4 papers)British Journal of Clinical Pharmacology (1 paper)
- Partner nations
- NetherlandsUnited KingdomIreland
In The Last Decade
Peter Arlett
54 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 129
- Toxicology 457
- Pharmacology 200
- Statistics and Probability 189
- Geriatrics and Gerontology 58
- Economics and Econometrics 446
Countries citing papers authored by Peter Arlett
This map shows the geographic impact of Peter Arlett'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 Peter Arlett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Arlett more than expected).
Fields of papers citing papers by Peter Arlett
This network shows the impact of papers produced by Peter Arlett. 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 Peter Arlett. The network helps show where Peter Arlett may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Arlett, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 277 | |
| 2 | 2019 | 209 | |
| 3 | 2019 | 186 | |
| 4 | 2021 | 131 | |
| 5 | 2020 | 120 | |
| 6 | 2021 | 110 | |
| 7 | 2018 | 98 | |
| 8 | 2017 | 87 | |
| 9 | 2017 | 61 | |
| 10 | 2016 | 59 | |
| 11 | 2015 | 52 | |
| 12 | 2012 | 48 | |
| 13 | 2019 | 45 | |
| 14 | 2014 | 43 | |
| 15 | 2011 | 34 | |
| 16 | 2017 | 32 | |
| 17 | 2019 | 28 | |
| 18 | 2014 | 27 | |
| 19 | 2012 | 25 | |
| 20 | 2017 | 25 |
About Peter Arlett
Peter Arlett is a scholar working on Toxicology, Economics and Econometrics, Immunology, Pharmacology and Statistics and Probability, having authored 56 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (33 papers), Health Systems, Economic Evaluations, Quality of Life (14 papers), Biosimilars and Bioanalytical Methods (12 papers), Pharmaceutical Economics and Policy (10 papers), Pharmaceutical industry and healthcare (8 papers), Academic integrity and plagiarism (4 papers), Statistical Methods in Clinical Trials (4 papers) and Advanced Causal Inference Techniques (3 papers). The work is most often cited by research in Toxicology (457 citations), Pharmacology (200 citations), Statistics and Probability (189 citations), Geriatrics and Gerontology (58 citations) and Economics and Econometrics (446 citations). Peter Arlett has collaborated with scholars based in Netherlands, United Kingdom and Ireland. Frequent co-authors include Xavier Kurz, Alison Cave, Qun‐Ying Yue, Lindsay M. Henderson, Carin Bergquist, Barbro Gerdén, June Raine, Georgy Genov, Sebastian Schneeweiß and Jim Slattery. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Pharmacoepidemiology and Drug Safety, Drug Safety, Nature Reviews Drug Discovery and British Journal of Clinical Pharmacology.
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.