Sang Jun Eun

685 citations
45 papers · 466 · h-index 13

Impact in

Papers in

Sang Jun Eun

43 papers receiving 454 citations

Peers

Sang Jun Eun
Comparison fields: 5 of 99
  • General Health Professions 156
  • Modeling and Simulation 24
  • Economics and Econometrics 124
  • Health 37
  • Finance 41
Replace Peter E. Hilsenrath with:
Peter E. Hilsenrath United States
Patricia Soliz United States
Mason Sutherland United States
Zafar Zafarí United States
Giorgi Kvizhinadze New Zealand
Danielle Butler Australia
Meghan Mooney United States
Fernando Ignacio Sánchez Martínez Spain
Mohammad Amiri Iran
Patricio V. Marquez United States
Sang Jun Eun relative to Peter E. Hilsenrath United States Peter E. Hilsenrath's profile →
Citations per field
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Peter E. Hilsenrath · 1×
Citations per year

Countries citing papers authored by Sang Jun Eun

Since Specialization
Citations

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

Fields of papers citing papers by Sang Jun Eun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201455
2 201850
3 202044
4 201835
5 201929
6 201118
7 201617
8 202116
9 200816
10 201915
11
[Differences in medical care utilization rates of the disabled and the non-disabled with ambulatory care sensitive conditions].
200615
12 202113
13 201913
14 201912
15 202211
16 20159
17 20179
18 20118
19 20178
20 20177

About Sang Jun Eun

Sang Jun Eun is a scholar working on General Health Professions, Economics and Econometrics, Public Health, Environmental and Occupational Health, Health and Safety, Risk, Reliability and Quality, having authored 45 papers that have together received 466 indexed citations. Recurring topics across this work include Healthcare Policy and Management (13 papers), Traffic and Road Safety (7 papers), Patient Satisfaction in Healthcare (7 papers), Health and Wellbeing Research (7 papers), Primary Care and Health Outcomes (6 papers), Health disparities and outcomes (6 papers), Injury Epidemiology and Prevention (5 papers) and Diverse Approaches in Healthcare and Education Studies (4 papers). The work is most often cited by research in General Health Professions (156 citations), Modeling and Simulation (24 citations), Economics and Econometrics (124 citations), Health (37 citations) and Finance (41 citations). Sang Jun Eun has collaborated with scholars based in South Korea, Ethiopia and Puerto Rico. Frequent co-authors include Jin Yong Lee, Hyun Joo Kim, Min‐Woo Jo, Won Mo Jang, Hyemin Jung, Yoon Kim, Hyun‐Sun Yoon, D.Y. Kim, Sang‐Hyun Cho and Agnus M. Kim. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Korean Medical Science, PLoS ONE, BMJ Open and Medicine.

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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