Jeff Daiter

28 papers receiving 729 citations

Peers

Jeff Daiter
Comparison fields: 5 of 87
  • Anesthesiology and Pain Medicine 91
  • Public Health, Environmental and Occupational Health 372
  • Toxicology 33
  • Epidemiology 326
  • Pediatrics, Perinatology and Child Health 156
Replace Michael Varenbut with:
Michael Varenbut Canada
Carolyn Plater Canada
Michael Specka Germany
John Schmittner United States
Paul Casadonte United States
Johan Kakko Sweden
Ravindra Rao India
Verena E. Metz United States
Harald Eder Austria
Michael Gossop United Kingdom
Jeff Daiter relative to Michael Varenbut Canada Michael Varenbut's profile →
Citations per field
00.5×1.5×
Michael Varenbut · 1×
Citations per year

Countries citing papers authored by Jeff Daiter

Since Specialization
Citations

This map shows the geographic impact of Jeff Daiter'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 Jeff Daiter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Daiter more than expected).

Fields of papers citing papers by Jeff Daiter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeff Daiter. 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 Jeff Daiter. The network helps show where Jeff Daiter may publish in the future.

Co-authors

The 25 scholars most cited alongside Jeff Daiter, 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 Jeff Daiter Line = papers co-authored together Jeff Daiter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201590
2 201566
3 201552
4 200650
5 201445
6 201643
7 201441
8 201540
9 201735
10 201535
11 201432
12 200429
13 200728
14 201726
15 201521
16 200921
17 201419
18 201216
19 201614
20 200714

About Jeff Daiter

Jeff Daiter is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Anesthesiology and Pain Medicine, Pathology and Forensic Medicine and Pharmacology, having authored 28 papers that have together received 749 indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (15 papers), Substance Abuse Treatment and Outcomes (13 papers), Pain Management and Opioid Use (8 papers), Alcohol Consumption and Health Effects (5 papers), Prenatal Substance Exposure Effects (4 papers), Homelessness and Social Issues (3 papers), Hormonal and reproductive studies (2 papers) and HIV, Drug Use, Sexual Risk (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (91 citations), Public Health, Environmental and Occupational Health (372 citations), Toxicology (33 citations), Epidemiology (326 citations) and Pediatrics, Perinatology and Child Health (156 citations). Jeff Daiter has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Michael Varenbut, Andrew Worster, David C. Marsh, Carolyn Plater, Zainab Samaan, Guillaume Paré, Brittany B. Dennis, Monica Bawor, Lehana Thabane and Dipika Desai. Their work appears in journals such as The American Journal of Drug and Alcohol Abuse, Addiction Science & Clinical Practice, Biology of Sex Differences, Systematic Reviews 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.

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