Jun Won Park

511 citations
8 papers · 319 · h-index 6

Impact in

Papers in

Jun Won Park

8 papers receiving 310 citations

Peers

Jun Won Park
Comparison fields: 5 of 67
  • Social Psychology 132
  • Sociology and Political Science 202
  • Applied Psychology 21
  • Gender Studies 36
  • Experimental and Cognitive Psychology 43
Replace Benoît Testé with:
Benoît Testé France
Terry A. Kinney United States
Shaun Wiley United States
Nils Karl Reimer United States
Andrew W. Robertson New Zealand
Catherine M. Ruvolo United States
MarYam G. Hamedani United States
Amy S. Ebesu Hubbard United States
Michela Menegatti Italy
Edgardo Etchezahar Argentina
Jun Won Park relative to Benoît Testé France Benoît Testé's profile →
Citations per field
00.5×2.8×
Benoît Testé · 1×
Citations per year

Countries citing papers authored by Jun Won Park

Since Specialization
Citations

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

Fields of papers citing papers by Jun Won Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Won Park. 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 Jun Won Park. The network helps show where Jun Won Park may publish in the future.

Co-authors

The 4 scholars most cited alongside Jun Won Park, 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 Jun Won Park Line = papers co-authored together Jun Won Park links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2017165
2 201951
3 201445
4 202126
5 201720
6 202310
7
The Reproduction of Social Class in Brief Speech
20181
8 20131

About Jun Won Park

Jun Won Park is a scholar working on Sociology and Political Science, Social Psychology, Pollution, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 8 papers that have together received 319 indexed citations. Recurring topics across this work include Social and Intergroup Psychology (6 papers), Social and Cultural Dynamics (3 papers), Cultural Differences and Values (2 papers), Gender, Feminism, and Media (1 paper), Evolutionary Psychology and Human Behavior (1 paper), Nonprofit Sector and Volunteering (1 paper), Membrane Separation Technologies (1 paper) and Names, Identity, and Discrimination Research (1 paper). The work is most often cited by research in Social Psychology (132 citations), Sociology and Political Science (202 citations), Applied Psychology (21 citations), Gender Studies (36 citations) and Experimental and Cognitive Psychology (43 citations). Jun Won Park has collaborated with scholars based in United States and South Korea. Frequent co-authors include Michael W. Kraus, Jacinth J. X. Tan, Shaun Wiley and Min Ho Kim. Their work appears in journals such as Perspectives on Psychological Science, Group Processes & Intergroup Relations, Frontiers in Psychology, Journal of Experimental Social Psychology and Proceedings of the National Academy of Sciences.

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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