Dayoon Kwon

20 papers receiving 567 citations

Dayoon Kwon's Hit Papers

A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge 2021 · 238 citations
2380+1+3Years since publication50100150200

Peers

Dayoon Kwon
Comparison fields: 5 of 81
  • Aging 26
  • Health 67
  • Neuropsychology and Physiological Psychology 11
  • Geriatrics and Gerontology 18
  • Health, Toxicology and Mutagenesis 74
Replace Kristina Tiainen with:
Kristina Tiainen Finland
P. Cicconetti Italy
Véronique Pagé Canada
Joung Hwan Back South Korea
Ruoqing Chen Sweden
J.M. Starr United Kingdom
Dominik Spira Germany
Mirjam Köhler Germany
Nicholas Tilton United States
Dayoon Kwon relative to Kristina Tiainen Finland Kristina Tiainen's profile →
Citations per field
00.5×12×
Kristina Tiainen · 1×
Citations per year

Countries citing papers authored by Dayoon Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Dayoon Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dayoon 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 Dayoon Kwon. The network helps show where Dayoon Kwon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge
Hit paper breakdown →
2021238
2 202195
3 202172
4 202447
5 202225
6 202217
7 202216
8 202316
9 202314
10 20248
11 20238
12 20254
13 20223
14 20253
15 20252
16 20232
17 20251
18 20231
19 20231
20 20201

About Dayoon Kwon

Dayoon Kwon is a scholar working on Health, Molecular Biology, Public Health, Environmental and Occupational Health, Surgery and Neuropsychology and Physiological Psychology, having authored 21 papers that have together received 574 indexed citations. Recurring topics across this work include Health disparities and outcomes (5 papers), Aging and Gerontology Research (2 papers), Nutrition and Health in Aging (2 papers), Pregnancy and Medication Impact (2 papers), Epigenetics and DNA Methylation (2 papers), Health, Environment, Cognitive Aging (2 papers), Gestational Diabetes Research and Management (1 paper) and Health and Well-being Studies (1 paper). The work is most often cited by research in Aging (26 citations), Health (67 citations), Neuropsychology and Physiological Psychology (11 citations), Geriatrics and Gerontology (18 citations) and Health, Toxicology and Mutagenesis (74 citations). Dayoon Kwon has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Daniel W. Belsky, Gloria Huei-Jong Graf, Christopher L. Crowe, Meeraj Kothari, Benjamin W. Domingue, Linda Valeri, Katherine M. Keyes, Jennifer J. Manly, Indira C. Turney and Kimberly C. Paul. Their work appears in journals such as American Journal of Human Biology, Environmental Research, npj Parkinson s Disease, Age and Ageing and American Journal of Epidemiology.

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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