Jeff Daiter

28 papers receiving 742 citations

Peers

Jeff Daiter
Comparison fields: 5 of 79
  • Public Health, Environmental and Occupational Health 261
  • Anesthesiology and Pain Medicine 48
  • Endocrinology, Diabetes and Metabolism 79
  • Epidemiology 151
  • Pharmacology 70
Replace Michael Varenbut with:
Michael Varenbut Canada
Carolyn Plater Canada
Edwin A. Salsitz United States
Michael Specka Germany
John Schmittner United States
Larissa L. Loukianova United States
S. K. Mattoo India
Medhat M. Bassiony Egypt
Norbert Loimer Austria
Johan Kakko Sweden
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 201591
2 201568
3 201553
4 200651
5 201447
6 201644
7 201442
8 201540
9 201736
10 201535
11 201433
12 200429
13 200728
14 201726
15 201522
16 200921
17 201419
18 201216
19 200714
20 201614

About Jeff Daiter

Jeff Daiter is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Pathology and Forensic Medicine, General Health Professions and Anesthesiology and Pain Medicine, having authored 28 papers that have together received 761 indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (8 papers), Substance Abuse Treatment and Outcomes (5 papers), Alcohol Consumption and Health Effects (4 papers), Homelessness and Social Issues (3 papers), Hormonal and reproductive studies (2 papers), Anesthesia and Sedative Agents (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (261 citations), Anesthesiology and Pain Medicine (48 citations), Endocrinology, Diabetes and Metabolism (79 citations), Epidemiology (151 citations) and Pharmacology (70 citations). Jeff Daiter has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Michael Varenbut, Andrew Worster, David C. Marsh, Guillaume Paré, Carolyn Plater, Zainab Samaan, Monica Bawor, Brittany B. Dennis, Lehana Thabane and Dipika Desai. Their work appears in journals such as The American Journal of Drug and Alcohol Abuse, Biology of Sex Differences, Drug and Alcohol Dependence, Systematic Reviews and Addiction Science & Clinical Practice.

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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