Countries citing papers authored by Minja Kim Choe
Since
Specialization
Citations
This map shows the geographic impact of Minja Kim Choe'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 Minja Kim Choe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minja Kim Choe more than expected).
This network shows the impact of papers produced by Minja Kim Choe. 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 Minja Kim Choe. The network helps show where Minja Kim Choe may publish in the future.
Co-authorship network of co-authors of Minja Kim Choe
This figure shows the co-authorship network connecting the top 25 collaborators of Minja Kim Choe.
A scholar is included among the top collaborators of Minja Kim Choe 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 Minja Kim Choe. Minja Kim Choe is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Abbasi‐Shavazi, Mohammad Jalal, Alı́cia Adserà, Caroline Berghammer, et al.. (2014). Future Fertility in Low Fertility Countries World Population and Human Capital in the Twenty-First Century. University of Groningen research database (University of Groningen / Centre for Information Technology). 40–147.1 indexed citations
4.
Choe, Minja Kim, et al.. (2013). Socioeconomic Impacts of Demographic Change.4 indexed citations
5.
Westley, Sidney B., Minja Kim Choe, & Robert D. Retherford. (2010). Very low fertility in Asia: is there a problem? Can it be solved?. ScholarSpace (University of Hawaii at Manoa). 1.19 indexed citations
6.
Chen, Jiajian, et al.. (2009). Population Policy, Economic Reform, and Fertility Decline in Guangdong Province, China. ScholarSpace (University of Hawaii at Manoa).1 indexed citations
Westley, Sidney B. & Minja Kim Choe. (2007). How does son preference affect populations in Asia. ScholarSpace (University of Hawaii at Manoa). 1.13 indexed citations
9.
Choe, Minja Kim & Kyung‐Ae Park. (2006). Fertility Decline in South Korea: Forty Years of Policy-Behavior Dialogue. Rénkǒu xuékān. 29(2). 1–26.18 indexed citations
Choe, Minja Kim, et al.. (2001). Initiation of smoking, drinking, and drug-use among Filipino youths. ScholarSpace (University of Hawaii at Manoa). 29. 105–132.5 indexed citations
14.
Choe, Minja Kim & Hui‐Sheng Lin. (2001). Effect of education on premarital sex and marriage in Taiwan. ScholarSpace (University of Hawaii at Manoa).6 indexed citations
15.
Choe, Minja Kim, et al.. (1998). SON PREFERENCE AND FAMILY BUILDING DURING FERTILITY TRANSITION IMPLICATIONS ON CHILD SURVIVAL. 21(1). 184–228.10 indexed citations
16.
Mason, Karen Oppenheim, Noriko O. Tsuya, & Minja Kim Choe. (1998). The changing family in comparative perspective: Asia and the United States. ScholarSpace (University of Hawaii at Manoa).46 indexed citations
17.
Choe, Minja Kim, et al.. (1998). Wanted and unwanted fertility in selected states of India. ScholarSpace (University of Hawaii at Manoa).8 indexed citations
Choe, Minja Kim & Noriko O. Tsuya. (1991). Why do Chinese women practice contraception? The case of rural Jilin Province.. PubMed. 22(1). 39–51.15 indexed citations
20.
Westoff, Charles F., Noreen Goldman, & Minja Kim Choe. (1980). Prevalence and demographic significance of contraceptive sterilization in Fiji, the Republic of Korea, and Sri Lanka. ScholarSpace (University of Hawaii at Manoa).5 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.