Dong Jun Kim

1.5k citations
69 papers · 1.0k indexed · 1 hit paper · h-index 15
Topics
Genetic Associations and Epidemiology (6 papers)Gastric Cancer Management and Outcomes (5 papers)Colorectal Cancer Screening and Detection (4 papers)

In The Last Decade

Dong Jun Kim

60 papers receiving 982 citations

Hit Papers

A Literature Overview of Virtual Reality (VR) in Treatmen...2019202620212023201950100150200250

Peers

Dong Jun Kim
Comparison fields: 5 of 146
  • Human-Computer Interaction 143
  • Clinical Psychology 129
  • Sociology and Political Science 129
  • Ophthalmology 122
  • Applied Psychology 94
Replace Mark W. Reid with:
Mark W. Reid United States
Andrea Chirico Italy
Vinaya Manchaiah United States
Barbara Poletti Italy
Grant Gibson United Kingdom
Glenn Phillips United States
Peter M. Allen United Kingdom
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Yuping Chen United States
Luigi Lavorgna Italy
Dong Jun Kim relative to Mark W. Reid United States Mark W. Reid's profile →
Citations per field
00.5×2.7×
Mark W. Reid · 1×
Citations per year

Countries citing papers authored by Dong Jun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dong Jun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Jun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Jun Kim. A scholar is included among the top collaborators of Dong Jun Kim 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 Dong Jun Kim. Dong Jun Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 7
4 4
5 1
6 0
7 7
8 6
9 7
10 62
11 19
12
The Association between Adolescents Risk Behavior and Smoking
0
13 3
14 59
15 72
16 6
17 124
18
Epidemiology of Varicella in Korea Based on Pediatrician's Office Practice
6
19
Assessment of the Spinal Pain Using Visual Analogue Scale(VAS)
16
20
Studies of Basal Metabolism and Energy Expenditure of Koreans in Daily Life
1

About Dong Jun Kim

Dong Jun Kim is a scholar working on Leadership and Management, Human-Computer Interaction and Physiology, having authored 69 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Gastric Cancer Management and Outcomes (5 papers) and Colorectal Cancer Screening and Detection (4 papers). The work is most often cited by research in Human-Computer Interaction (143 citations), Applied Psychology (94 citations) and Ophthalmology (122 citations). Dong Jun Kim has collaborated with scholars based in South Korea, United States and Belgium. Frequent co-authors include Hong Jin Jeon, Eun Jin Na, Unjoo Lee, Mi Jin Park, Cheol‐Young Park, Sang Woo Oh, Sang Yeoup Lee, Kiwon Kim, Haewoo Lee and David Mischoulon. Their work appears in journals such as Nano Letters, PLoS ONE and Scientific Reports.

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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