John Funchion
- Sociology and Political Science top 2%
- Communication top 2%
- Artificial Intelligence top 10%
- Health top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Kamal PremaratneCasey KlofstadMichelle I. SeeligManohar N. MurthiJoseph E. UscinskiAdam EndersStefan WuchtyCaleb Everett
- Topics
- Misinformation and Its Impacts (9 papers)Media Influence and Politics (5 papers)Hate Speech and Cyberbullying Detection (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsAmerican Journal of Political Science
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
John Funchion
13 papers receiving 694 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Sociology and Political Science 650
- Communication 219
- Artificial Intelligence 193
- Health 179
- Cognitive Neuroscience 121
Countries citing papers authored by John Funchion
This map shows the geographic impact of John Funchion'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 John Funchion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Funchion more than expected).
Fields of papers citing papers by John Funchion
This network shows the impact of papers produced by John Funchion. 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 John Funchion. The network helps show where John Funchion may publish in the future.
Co-authorship network of co-authors of John Funchion
This figure shows the co-authorship network connecting the top 25 collaborators of John Funchion. A scholar is included among the top collaborators of John Funchion based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Funchion. John Funchion is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 49 | |
| 5 | 54 | |
| 6 | The Relationship Between Social Media Use and Beliefs in Conspiracy Theories and Misinformationbreakdown → | 157 |
| 7 | American Politics in Two Dimensions: Partisan and Ideological Identities versus Anti‐Establishment Orientationsbreakdown → | 105 |
| 8 | 33 | |
| 9 | 34 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | Why do people believe COVID-19 conspiracy theories?breakdown → | 283 |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 0 | |
| 16 | 0 | |
| 17 | 5 |
About John Funchion
John Funchion is a scholar working on Sociology and Political Science, Communication and Cultural Studies, having authored 17 papers that have together received 736 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (9 papers), Media Influence and Politics (5 papers) and Hate Speech and Cyberbullying Detection (5 papers). The work is most often cited by research in Communication (219 citations), Health (179 citations) and Sociology and Political Science (650 citations). John Funchion has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Kamal Premaratne, Casey Klofstad, Michelle I. Seelig, Manohar N. Murthi, Joseph E. Uscinski, Adam Enders, Stefan Wuchty, Caleb Everett, Justin Stoler and Amanda B. Diekman. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and American Journal of Political Science.
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.