Ed Day
Impact in
- Epidemiology top 2%
- Substance Abuse Treatment and Outcomes
- HIV, Drug Use, Sexual Risk
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- Opioid Use Disorder Treatment
Papers in ⓘ
- Epidemiology 74
- Substance Abuse Treatment and Outcomes 63
- HIV, Drug Use, Sexual Risk 13
-
- Homelessness and Social Issues 26
- Mental Health and Patient Involvement 11
- Co-authors
- David Best (27 shared papers)Alex Copello (29 shared papers)Emma Frew (8 shared papers)Sanju George (9 shared papers)John Strang (11 shared papers)James H.F. Rudd (1 shared paper)A. Juarez-Garcia (2 shared papers)Amanda Burls (3 shared papers)
- Journals
- Addiction (7 papers)Addiction Research & Theory (6 papers)Trials (4 papers)Health Technology Assessment (4 papers)Drug and Alcohol Review (4 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Ed Day
134 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 136
- Epidemiology 1.1k
- Public Health, Environmental and Occupational Health 844
- Transplantation 68
- General Health Professions 627
- Applied Psychology 113
Countries citing papers authored by Ed Day
This map shows the geographic impact of Ed Day'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 Ed Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ed Day more than expected).
Fields of papers citing papers by Ed Day
This network shows the impact of papers produced by Ed Day. 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 Ed Day. The network helps show where Ed Day may publish in the future.
Co-authors
The 25 scholars most cited alongside Ed Day, 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 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 441 | |
| 2 | 2004 | 111 | |
| 3 | 2019 | 110 | |
| 4 | 2013 | 103 | |
| 5 | 2007 | 89 | |
| 6 | 2008 | 75 | |
| 7 | 2004 | 69 | |
| 8 | 2014 | 67 | |
| 9 | 2017 | 63 | |
| 10 | 2009 | 55 | |
| 11 | 2003 | 55 | |
| 12 | 2013 | 52 | |
| 13 | 2010 | 37 | |
| 14 | 2005 | 35 | |
| 15 | 2016 | 35 | |
| 16 | 2013 | 34 | |
| 17 | 2021 | 33 | |
| 18 | 2016 | 31 | |
| 19 | 2005 | 30 | |
| 20 | 2005 | 30 |
About Ed Day
Ed Day is a scholar working on Epidemiology, General Health Professions, Public Health, Environmental and Occupational Health, Toxicology and Psychiatry and Mental health, having authored 139 papers that have together received 2.6k indexed citations. Recurring topics across this work include Substance Abuse Treatment and Outcomes (63 papers), Opioid Use Disorder Treatment (41 papers), Homelessness and Social Issues (26 papers), Alcohol Consumption and Health Effects (15 papers), Schizophrenia research and treatment (15 papers), HIV, Drug Use, Sexual Risk (13 papers), Mental Health and Patient Involvement (11 papers) and Prenatal Substance Exposure Effects (9 papers). The work is most often cited by research in Epidemiology (1.1k citations), Public Health, Environmental and Occupational Health (844 citations), Transplantation (68 citations), General Health Professions (627 citations) and Applied Psychology (113 citations). Ed Day has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include David Best, Alex Copello, Emma Frew, Sanju George, John Strang, James H.F. Rudd, A. Juarez-Garcia, Amanda Burls, Tracy Roberts and Sue Jowett. Their work appears in journals such as Addiction, Addiction Research & Theory, Trials, Health Technology Assessment and Drug and Alcohol Review.
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.