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.
Appropriate waist circumference cutoff points for central obesity in Korean adults
2006786 citationsSang Yeoup Lee, Hye Soon Park et al.Diabetes Research and Clinical Practiceprofile →
Comparison of triglyceride-glucose index and HOMA-IR for predicting prevalence and incidence of metabolic syndrome
2021223 citationsDa‐Hye Son, Hye Sun Lee et al.Nutrition Metabolism and Cardiovascular Diseasesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Jee Hye Han'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 Jee Hye Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jee Hye Han more than expected).
This network shows the impact of papers produced by Jee Hye Han. 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 Jee Hye Han. The network helps show where Jee Hye Han may publish in the future.
Co-authorship network of co-authors of Jee Hye Han
This figure shows the co-authorship network connecting the top 25 collaborators of Jee Hye Han.
A scholar is included among the top collaborators of Jee Hye Han 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 Jee Hye Han. Jee Hye Han is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Son, Da‐Hye, Hye Sun Lee, Yong‐Jae Lee, Jun‐Hyuk Lee, & Jee Hye Han. (2021). Comparison of triglyceride-glucose index and HOMA-IR for predicting prevalence and incidence of metabolic syndrome. Nutrition Metabolism and Cardiovascular Diseases. 32(3). 596–604.223 indexed citations breakdown →
Han, Jee Hye & Seon Mee Kim. (2006). Relationship between Percent Body Fat and Cardiovascular Risk Factors for Normal Weight Adults. Gajeong yihag hoeji. 27(5). 352–357.5 indexed citations
13.
Seo, Min Jeong, et al.. (2006). Prevalence of the Metabolic Syndrome in Korean Children and Adolescents: Korea National Health and Nutrition Survey 2001. Gajeong yihag hoeji. 27(10). 798–806.15 indexed citations
14.
Lee, Sang Yeoup, Hye Soon Park, Hyuk‐Sang Kwon, et al.. (2006). Cut-off Points of Waist Circumference for Defining Abdominal Obesity in the Korean Population. 15(1). 1–9.167 indexed citations
15.
Lee, Sang Yeoup, Hye Soon Park, Dae Jung Kim, et al.. (2006). Appropriate waist circumference cutoff points for central obesity in Korean adults. Diabetes Research and Clinical Practice. 75(1). 72–80.786 indexed citations breakdown →
Han, Jee Hye, et al.. (2006). Metabolic Syndrome and Oxidative Stress, Antioxidants.. Korean Journal of Family Medicine. 27(10). 773–781.1 indexed citations
18.
Chun, Young Jin, et al.. (2005). Styrene-Mediated Oxidative Stresses in Rat Sperm Cells. Toxicological Research. 21(2). 129–134.5 indexed citations
19.
Han, Jee Hye, et al.. (2002). The relationship between C-reactive protein and cardiovascular risk factors.. Gajeong yihag hoeji. 23(3). 365–373.1 indexed citations
20.
Han, Jee Hye, et al.. (1997). Knowledge of hepatitis B and follow-up test in HBs Ag positive patients.. Gajeong yihag hoeji. 18(7). 706–713.2 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.