Daniel Jolley

31 papers receiving 2.6k citations

Daniel Jolley's Hit Papers

Pylons ablaze: Examining the role of 5G COVID‐19 conspiracy beliefs and support for violence 2020 · 278 citations
2780+4+8Years since publication250500750

Peers

Daniel Jolley
Comparison fields: 5 of 104
  • Health 798
  • Communication 463
  • Sociology and Political Science 2.4k
  • Cognitive Neuroscience 759
  • Literature and Literary Theory 292
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Countries citing papers authored by Daniel Jolley

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Jolley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Effects of Anti-Vaccine Conspiracy Theories on Vaccination Intentions
Hit paper breakdown →
2014889
2
The social consequences of conspiracism: Exposure to conspiracy theories decreases intentions to engage in politics and to reduce one's carbon footprint
Hit paper breakdown →
2013473
3
Prevention is better than cure: Addressing anti‐vaccine conspiracy theories
Hit paper breakdown →
2017308
4
Pylons ablaze: Examining the role of 5G COVID‐19 conspiracy beliefs and support for violence
Hit paper breakdown →
2020278
5 2019167
6 2017136
7 2019122
8 2020116
9 202258
10 202049
11 202140
12
Are conspiracy theories just harmless fun
201334
13 202131
14 202129
15 202127
16 202020
17 202213
18
The social, political, environmental, and health-related consequences of conspiracy theories : problems and potential solutions
201513
19 202311
20 202011

About Daniel Jolley

Daniel Jolley is a scholar working on Sociology and Political Science, Cognitive Neuroscience, Health, Communication and Literature and Literary Theory, having authored 34 papers that have together received 2.9k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (30 papers), Psychology of Moral and Emotional Judgment (14 papers), Vaccine Coverage and Hesitancy (10 papers), Social Media and Politics (6 papers), Hate Speech and Cyberbullying Detection (5 papers), Media Influence and Health (5 papers), Social and Intergroup Psychology (3 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Health (798 citations), Communication (463 citations), Sociology and Political Science (2.4k citations), Cognitive Neuroscience (759 citations) and Literature and Literary Theory (292 citations). Daniel Jolley has collaborated with scholars based in United Kingdom, Australia and Poland. Frequent co-authors include Karen M. Douglas, Jennifer Paterson, Rose Meleady, Robbie M. Sutton, Ana C. Leite, Gaëlle Marinthe, Sylvain Delouvée, Genavee Brown, Mathew D. Marques and Silvia Mari. Their work appears in journals such as British Journal of Psychology, Journal of Applied Social Psychology, British Journal of Developmental Psychology, Group Processes & Intergroup Relations and PLoS ONE.

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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