Jon Agley

2.0k citations
105 papers · 1.3k · 1 hit paper · h-index 19

Impact in

Papers in

    • Substance Abuse Treatment and Outcomes 25
    • HIV, Drug Use, Sexual Risk 6
    • Health Policy Implementation Science 14
    • Mental Health and Patient Involvement 5

Jon Agley

98 papers receiving 1.3k citations

Jon Agley's Hit Papers

Misinformation about COVID-19: evidence for differential latent profiles and a strong association with trust in science 2021 · 176 citations
1760+1+3Years since publication50100150

Peers

Jon Agley
Comparison fields: 5 of 114
  • Health 166
  • Geriatrics and Gerontology 43
  • Applied Psychology 47
  • Public Health, Environmental and Occupational Health 257
  • Modeling and Simulation 42
Replace Cuong Tat Nguyen with:
Cuong Tat Nguyen United States
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Citations per field
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Citations per year

Countries citing papers authored by Jon Agley

Since Specialization
Citations

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

Fields of papers citing papers by Jon Agley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Misinformation about COVID-19: evidence for differential latent profiles and a strong association with trust in science
Hit paper breakdown →
2021176
2 202093
3 202185
4 201878
5 200749
6 201835
7 202134
8 202134
9 202132
10 201431
11 201929
12 202028
13 201625
14 202125
15 201821
16 202020
17 201920
18 202219
19 202018
20 202018

About Jon Agley

Jon Agley is a scholar working on Epidemiology, General Health Professions, Public Health, Environmental and Occupational Health, Health and Clinical Psychology, having authored 105 papers that have together received 1.3k indexed citations. Recurring topics across this work include Substance Abuse Treatment and Outcomes (25 papers), Opioid Use Disorder Treatment (15 papers), Health Policy Implementation Science (14 papers), Smoking Behavior and Cessation (7 papers), HIV, Drug Use, Sexual Risk (6 papers), Vaccine Coverage and Hesitancy (5 papers), Mental Health and Patient Involvement (5 papers) and Behavioral Health and Interventions (4 papers). The work is most often cited by research in Health (166 citations), Geriatrics and Gerontology (43 citations), Applied Psychology (47 citations), Public Health, Environmental and Occupational Health (257 citations) and Modeling and Simulation (42 citations). Jon Agley has collaborated with scholars based in United States, Denmark and Hong Kong. Frequent co-authors include Yunyu Xiao, Beth E. Meyerson, Ruth A. Gassman, Lilian Golzarri‐Arroyo, Lori Ann Eldridge, Rachael H. Nolan, Priscilla T. Ryder, Angela M. McNelis, David W. Crabb and Alissa Davis. Their work appears in journals such as Journal of Medical Internet Research, Journal of the American Pharmacists Association, Evaluation & the Health Professions, Public Health and Health Promotion 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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