Daniel J. O’Keefe

106 papers receiving 6.1k citations

Daniel J. O’Keefe's Hit Papers

Narrative communication in cancer prevention and control: A framework to guide research and application 2007 · 752 citations
7520+12+24Years since publication2505007501000

Peers

Daniel J. O’Keefe
Comparison fields: 5 of 161
  • Applied Psychology 1.5k
  • Literature and Literary Theory 1.9k
  • Communication 970
  • General Decision Sciences 137
  • Marketing 703
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Citations per year

Countries citing papers authored by Daniel J. O’Keefe

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. O’Keefe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. O’Keefe. 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 Daniel J. O’Keefe. The network helps show where Daniel J. O’Keefe may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel J. O’Keefe, 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 Daniel J. O’Keefe Line = papers co-authored together Daniel J. O’Keefe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Persuasion theory and research
Hit paper breakdown →
19901158
2
Narrative communication in cancer prevention and control: A framework to guide research and application
Hit paper breakdown →
2007752
3
The Relative Persuasiveness of Gain-Framed Loss-Framed Messages for Encouraging Disease Prevention Behaviors: A Meta-Analytic Review
Hit paper breakdown →
2007591
4 2003482
5 2009335
6 2006207
7 1977193
8 2007183
9 1999164
10 1981162
11 2008159
12 2012146
13 2003123
14
Persuasion : theory & research
2002112
15 200299
16 200696
17 201477
18 200071
19 200969
20 199767

About Daniel J. O’Keefe

Daniel J. O’Keefe is a scholar working on Applied Psychology, Literature and Literary Theory, Marketing, Social Psychology and Sociology and Political Science, having authored 106 papers that have together received 6.7k indexed citations. Recurring topics across this work include Behavioral Health and Interventions (28 papers), Media Influence and Health (20 papers), Social and Intergroup Psychology (19 papers), Consumer Behavior in Brand Consumption and Identification (16 papers), Cultural Differences and Values (12 papers), Psychology of Social Influence (10 papers), Social Media and Politics (7 papers) and Digital Marketing and Social Media (6 papers). The work is most often cited by research in Applied Psychology (1.5k citations), Literature and Literary Theory (1.9k citations), Communication (970 citations), General Decision Sciences (137 citations) and Marketing (703 citations). Daniel J. O’Keefe has collaborated with scholars based in United States, Netherlands and Ireland. Frequent co-authors include Jakob D. Jensen, Howard E. Sypher, Xiaoli Nan, Kathleen Holmes, Eddie M. Clark, Melanie C. Green, Deborah O. Erwin, Thomas K. Houston, Sabra Farwell Woolley and Meg E. Wise. Their work appears in journals such as Human Communication Research, Communication Methods and Measures, Annals of the International Communication Association, Communication Monographs and Journal of Communication.

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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