Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Thirty years of national health insurance in South Korea: lessons for achieving universal health care coverage
This map shows the geographic impact of Soonman Kwon'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 Soonman Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soonman Kwon more than expected).
This network shows the impact of papers produced by Soonman Kwon. 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 Soonman Kwon. The network helps show where Soonman Kwon may publish in the future.
Co-authorship network of co-authors of Soonman Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of Soonman Kwon.
A scholar is included among the top collaborators of Soonman Kwon 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 Soonman Kwon. Soonman Kwon is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kwon, Soonman, et al.. (2020). The effects of long-term care insurance on the utilization of long-term care facility by inpatients in long-term care hospitals. 26(4). 47–72.1 indexed citations
Kim, Hongsoo, et al.. (2016). Horizontal Equity in the Use of Home Care and Health Care among Home Care Recipients under the Public Long-term Care Insurance in South Korea. 22(4). 59–78.3 indexed citations
11.
Kwon, Soonman, et al.. (2016). Impact of the DRG-based Prospective Payment System using a Quasi-Experimental Approach. 22(3). 1–31.2 indexed citations
12.
Jeon, Boyoung & Soonman Kwon. (2015). Access Barriers To Health Care Among Persons With Physical Disabilities: Using Three Reasons For Unmet Need As Indicators Of Access. 31(3). 145–171.7 indexed citations
13.
Kwon, Soonman, et al.. (2014). The Impact of Regional Employment Unstability on Suicide Rate in Younger Generation. 30(2). 117–141.1 indexed citations
Jeon, Boyoung, Juhwan Oh, & Soonman Kwon. (2013). The effect of changes in private health insurance status on health care expenditure. 29(2). 261–288.2 indexed citations
16.
Kim, Hongsoo, et al.. (2013). The Effect of Long-term Care Utilization on Health Care Utilization of the Elderly. 19(3). 1–22.6 indexed citations
17.
Kwon, Soonman, et al.. (2013). Impact of Obesity on Health Care Utilization and Expenditure. 19(2). 61–80.6 indexed citations
18.
Heo, Jongho, Youngtae Cho, & Soonman Kwon. (2010). The Effects of Socioeconomic Deprivations on Health. Korean Journal of Sociology. 44(2). 93–120.7 indexed citations
19.
Hwang, Jongnam & Soonman Kwon. (2009). The relation between the participation in social activity and cognitive function among middle-aged and elderly population. Journal of the Korea Gerontological Society. 29(3). 971–986.11 indexed citations
20.
Kwon, Soonman. (2006). Technology and Health Policy: Rapid Technology Diffusion and Policy Options in Korea. 12(2). 107–123.1 indexed citations
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.