JongSerl Chun

99 papers receiving 1.0k citations

Peers

JongSerl Chun
Comparison fields: 5 of 98
  • Clinical Psychology 239
  • Applied Psychology 50
  • Social Psychology 218
  • Safety Research 90
  • Physiology 203
Replace Joy Gabrielli with:
Joy Gabrielli United States
Ramón Chacón Cuberos Spain
Ching‐Mei Lee Taiwan
Colleen Pilgrim United States
Ingibjörg Eva Þórisdóttir Iceland
Sharon R. Sznitman Israel
Shari Kessel Schneider United States
Nicholas Carson United States
Patricia Dustman United States
Fabrizia Giannotta Sweden
JongSerl Chun relative to Joy Gabrielli United States Joy Gabrielli's profile →
Citations per field
00.5×1.5×1.8×
Joy Gabrielli · 1×
Citations per year

Countries citing papers authored by JongSerl Chun

Since Specialization
Citations

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

Fields of papers citing papers by JongSerl Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015151
2 2020112
3 201746
4 201743
5 202237
6 201833
7 200929
8 202129
9 201928
10 201427
11 201324
12 202021
13 201820
14 201519
15 200618
16 200518
17 200817
18 200917
19 201016
20 200714

About JongSerl Chun

JongSerl Chun is a scholar working on Sociology and Political Science, Clinical Psychology, General Health Professions, Social Psychology and Safety Research, having authored 114 papers that have together received 1.1k indexed citations. Recurring topics across this work include Psychosocial Factors Impacting Youth (30 papers), Smoking Behavior and Cessation (11 papers), Bullying, Victimization, and Aggression (11 papers), Homelessness and Social Issues (9 papers), Impact of Technology on Adolescents (8 papers), Health and Wellbeing Research (8 papers), Education and Learning Interventions (8 papers) and Child Welfare and Adoption (8 papers). The work is most often cited by research in Clinical Psychology (239 citations), Applied Psychology (50 citations), Social Psychology (218 citations), Safety Research (90 citations) and Physiology (203 citations). JongSerl Chun has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Serim Lee, Jinyung Kim, Harris Hyun‐soo Kim, Jungup Lee, Joseph Guydish, Ick‐Joong Chung, So‐Youn Kim, Kevin Delucchi, Emma Passalacqua and Anna Pagano. Their work appears in journals such as Children and Youth Services Review, International Journal of Environmental Research and Public Health, Journal of Psychoactive Drugs, Journal of Drug Issues and American Journal on Addictions.

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.

Explore authors with similar magnitude of impact