Dayoon Kwon
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
- Health 5
- Health disparities and outcomes 5
- Co-authors
- Daniel W. Belsky (8 shared papers)Gloria Huei-Jong Graf (4 shared papers)Christopher L. Crowe (3 shared papers)Benjamin W. Domingue (2 shared papers)Meeraj Kothari (2 shared papers)Linda Valeri (1 shared paper)Katherine M. Keyes (1 shared paper)Jennifer J. Manly (1 shared paper)
- Journals
- American Journal of Human Biology (2 papers)Environmental Research (2 papers)GeroScience (1 paper)JAMA Network Open (1 paper)Demography (1 paper)
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
Dayoon Kwon
19 papers receiving 481 citations
Dayoon Kwon's Hit Papers
Peers
Comparison fields: 5 of 84
- Aging 36
- Neuropsychology and Physiological Psychology 22
- Health 91
- Geriatrics and Gerontology 33
- Health, Toxicology and Mutagenesis 109
Countries citing papers authored by Dayoon Kwon
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge Hit paper breakdown → | 2021 | 203 |
| 2 | 2021 | 85 | |
| 3 | 2021 | 68 | |
| 4 | 2024 | 31 | |
| 5 | 2022 | 22 | |
| 6 | 2022 | 16 | |
| 7 | 2023 | 15 | |
| 8 | 2022 | 13 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 6 | |
| 11 | 2024 | 3 | |
| 12 | 2022 | 3 | |
| 13 | 2025 | 3 | |
| 14 | 2025 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2025 | 0 |
About Dayoon Kwon
Dayoon Kwon is a scholar working on Health, Public Health, Environmental and Occupational Health, Sociology and Political Science, Health, Toxicology and Mutagenesis and Speech and Hearing, having authored 20 papers that have together received 487 indexed citations. Recurring topics across this work include Health disparities and outcomes (5 papers), Air Quality and Health Impacts (3 papers), Aging and Gerontology Research (3 papers), Dysphagia Assessment and Management (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Epigenetics and DNA Methylation (2 papers), Intergenerational Family Dynamics and Caregiving (2 papers) and Urban Transport and Accessibility (2 papers). The work is most often cited by research in Aging (36 citations), Neuropsychology and Physiological Psychology (22 citations), Health (91 citations), Geriatrics and Gerontology (33 citations) and Health, Toxicology and Mutagenesis (109 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, Benjamin W. Domingue, Meeraj Kothari, Linda Valeri, Katherine M. Keyes, Jennifer J. Manly, Indira C. Turney and Beate Ritz. Their work appears in journals such as American Journal of Human Biology, Environmental Research, GeroScience, JAMA Network Open and Demography.
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.