Robin Paynter
Impact in
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- Meta-analysis and systematic reviews
- Toxicology top 5%
Papers in
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- Meta-analysis and systematic reviews 11
- Co-authors
- Jeanne‐Marie GuiseDevan KansagaraMichele FreemanKarli KondoMakalapua Motu’apuakaMark HelfandAllison LowKara Winchell
- Journals
- Annals of Internal Medicine (6 papers)Journal of Clinical Epidemiology (4 papers)Cochrane Database of Systematic Reviews (4 papers)Collection Management (2 papers)Drug and Alcohol Dependence (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Robin Paynter
54 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 154
- Statistics, Probability and Uncertainty 255
- Toxicology 66
- Pharmacology 307
- General Health Professions 458
- Health 118
Countries citing papers authored by Robin Paynter
This map shows the geographic impact of Robin Paynter'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 Robin Paynter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Paynter more than expected).
Fields of papers citing papers by Robin Paynter
This network shows the impact of papers produced by Robin Paynter. 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 Robin Paynter. The network helps show where Robin Paynter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robin Paynter, 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 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 9 | |
| 4 | 2021 | 9 | |
| 5 | 2021 | 19 | |
| 6 | 2020 | 35 | |
| 7 | 2019 | 99 | |
| 8 | 2018 | 4 | |
| 9 | 2018 | 114 | |
| 10 | 2018 | 32 | |
| 11 | Benefits and Harms of Plant-Based Cannabis for Posttraumatic Stress Disorder | 2017 | 3 |
| 12 | 2017 | 10 | |
| 13 | 2017 | 46 | |
| 14 | Comparative Clinical and Economic Effectiveness of Anti-vascular Endothelial Growth Factor Agents [Internet] | 2017 | 2 |
| 15 | 2015 | 56 | |
| 16 | 2015 | 105 | |
| 17 | 2014 | 41 | |
| 18 | Peer Review of Search Strategies | 2012 | 14 |
| 19 | 2010 | 8 | |
| 20 | 1979 | 68 |
About Robin Paynter
Robin Paynter is a scholar working on Statistics, Probability and Uncertainty, Toxicology, General Health Professions, Library and Information Sciences and Internal Medicine, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (11 papers), Health Policy Implementation Science (5 papers), Opioid Use Disorder Treatment (5 papers), COVID-19 Impact on Reproduction (4 papers), Cannabis and Cannabinoid Research (4 papers), Health Sciences Research and Education (4 papers), COVID-19 Clinical Research Studies (3 papers) and Delphi Technique in Research (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (255 citations), Toxicology (66 citations), Pharmacology (307 citations), General Health Professions (458 citations) and Health (118 citations). Robin Paynter has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jeanne‐Marie Guise, Devan Kansagara, Michele Freeman, Karli Kondo, Makalapua Motu’apuaka, Mark Helfand, Allison Low, Kara Winchell, J Gilbert and Stephanie Veazie. Their work appears in journals such as Annals of Internal Medicine, Journal of Clinical Epidemiology, Cochrane Database of Systematic Reviews, Collection Management and Drug and Alcohol Dependence.
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.