Ed Day

145 papers receiving 2.6k citations

Ed Day's Hit Papers

Methadone and buprenorphine for the management of opioid dependence: a systematic review and economic evaluation 2007 · 478 citations
4780+6+12Years since publication100200300400

Peers

Ed Day
Comparison fields: 5 of 114
  • Epidemiology 965
  • Public Health, Environmental and Occupational Health 913
  • Transplantation 66
  • Neurology 120
  • Applied Psychology 40
Replace Kelly L. Stolzmann with:
Kelly L. Stolzmann United States
Ada M. Lindsey United States
Barry A. Hong United States
Ana Palacio United States
Shamsul Azhar Shah Malaysia
Rosangela Caruso Italy
Joe M. Barry Ireland
Kevin A. Hommel United States
Susan I. Woodruff United States
Mary Jo Larson United States
Ed Day relative to Kelly L. Stolzmann United States Kelly L. Stolzmann's profile →
Citations per field
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Kelly L. Stolzmann · 1×
Citations per year

Countries citing papers authored by Ed Day

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ed Day Line = papers co-authored together Ed Day links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Methadone and buprenorphine for the management of opioid dependence: a systematic review and economic evaluation
Hit paper breakdown →
2007478
2 2019126
3 2013114
4 200797
5 200882
6 201474
7 201774
8 201364
9 200358
10 200956
11 202142
12 201040
13 200538
14 201337
15 201937
16 201635
17 201635
18 200533
19 200832
20 201732

About Ed Day

Ed Day is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Transplantation, Neurology and Clinical Psychology, having authored 152 papers that have together received 2.8k indexed citations. Recurring topics across this work include Substance Abuse Treatment and Outcomes (75 papers), Opioid Use Disorder Treatment (47 papers), Alcoholism and Thiamine Deficiency (5 papers), Alcohol Consumption and Health Effects (5 papers), Renal Transplantation Outcomes and Treatments (4 papers), Innovations in Medical Education (3 papers), Organ Transplantation Techniques and Outcomes (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Epidemiology (965 citations), Public Health, Environmental and Occupational Health (913 citations), Transplantation (66 citations), Neurology (120 citations) and Applied Psychology (40 citations). Ed Day has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include David William Best, Alex G. Copello, Emma J. Frew, John Strang, A. Juarez-Garcia, Sue M Jowett, Amanda Burls, Tracy Elizabeth Roberts, Sanju George and Nick Lintzeris. Their work appears in journals such as Addiction, Drug and Alcohol Review, Health Technology Assessment, Trials and Addiction Research & Theory.

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.

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