Da‐Hye Son

1.2k citations
29 papers · 758 · 1 hit paper · h-index 12

Impact in

Papers in

Da‐Hye Son

29 papers receiving 754 citations

Da‐Hye Son's Hit Papers

Comparison of triglyceride-glucose index and HOMA-IR for predicting prevalence and incidence of metabolic syndrome 2021 · 244 citations
2440+1+3Years since publication50100150200

Peers

Da‐Hye Son
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 137
  • Pharmacology 71
  • Nephrology 32
  • Physiology 116
  • Geriatrics and Gerontology 13
Replace Peyman Rezaie with:
Peyman Rezaie Iran
Ammar Salehi‐Sahlabadi Iran
Gracia Fahed United States
Velimir Božikov Croatia
Ming-May Lai Taiwan
Phillip Bwititi Australia
Zamzam Paknahad Iran
Laurence Aoun United States
Da‐Hye Son relative to Peyman Rezaie Iran Peyman Rezaie's profile →
Citations per field
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Peyman Rezaie · 1×
Citations per year

Countries citing papers authored by Da‐Hye Son

Since Specialization
Citations

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

Fields of papers citing papers by Da‐Hye Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da‐Hye Son. 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 Da‐Hye Son. The network helps show where Da‐Hye Son may publish in the future.

Co-authors

The 25 scholars most cited alongside Da‐Hye Son, 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 Da‐Hye Son Line = papers co-authored together Da‐Hye Son links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comparison of triglyceride-glucose index and HOMA-IR for predicting prevalence and incidence of metabolic syndrome
Hit paper breakdown →
2021244
2 2019119
3 202260
4 202347
5 201842
6 202241
7 201925
8 202225
9 202020
10 201914
11 202412
12 202012
13 202111
14 202111
15 20219
16 20229
17 20228
18 20207
19 20217
20 20196

About Da‐Hye Son

Da‐Hye Son is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Epidemiology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 29 papers that have together received 758 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Nutrition and Health in Aging (5 papers), Diet, Metabolism, and Disease (3 papers), Sodium Intake and Health (2 papers), Blood Pressure and Hypertension Studies (2 papers), Nutritional Studies and Diet (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (137 citations), Pharmacology (71 citations), Nephrology (32 citations), Physiology (116 citations) and Geriatrics and Gerontology (13 citations). Da‐Hye Son has collaborated with scholars based in South Korea and United States. Frequent co-authors include Yong‐Jae Lee, Jun‐Hyuk Lee, Hye Sun Lee, Yu‐Jin Kwon, Jee Hye Han, Tae‐Ha Chung, Mi‐Ra Cho, Ji Won Yoo, So‐Young Seol and Woo-Jin Park. Their work appears in journals such as Korean Journal of Family Medicine, Nutrition Metabolism and Cardiovascular Diseases, International Journal of Environmental Research and Public Health, Arthritis Care & Research and Biomolecules.

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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