Young Joon Kwon
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Health Informatics top 5%
Papers in
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- Mitochondrial Function and Pathology 6
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- Medical Imaging Techniques and Applications 3
- COVID-19 diagnosis using AI 3
- Co-authors
- Marni J. Falk (9 shared papers)Julian Ostrovsky (7 shared papers)Shana E. McCormack (4 shared papers)Rui Xiao (6 shared papers)Erzsébet Polyák (6 shared papers)Min Peng (4 shared papers)Mai Tsukikawa (3 shared papers)Zhe Zhang (3 shared papers)
- Journals
- Human Molecular Genetics (3 papers)Mitochondrion (3 papers)Nature Communications (1 paper)Scientific Reports (1 paper)Pediatric Research (1 paper)
- Partner nations
- United StatesSouth KoreaFrance
In The Last Decade
Young Joon Kwon
25 papers receiving 426 citations
Peers
Comparison fields: 5 of 90
- Aging 67
- Health Informatics 22
- Clinical Biochemistry 48
- Biochemistry 31
- Neurology 40
Countries citing papers authored by Young Joon Kwon
This map shows the geographic impact of Young Joon 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 Young Joon Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young Joon Kwon more than expected).
Fields of papers citing papers by Young Joon Kwon
This network shows the impact of papers produced by Young Joon 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 Young Joon Kwon. The network helps show where Young Joon Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Young Joon 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
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 56 | |
| 2 | 2018 | 49 | |
| 3 | 2017 | 46 | |
| 4 | 2020 | 42 | |
| 5 | 2014 | 35 | |
| 6 | 2015 | 35 | |
| 7 | 2014 | 32 | |
| 8 | 2019 | 26 | |
| 9 | 2017 | 21 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 11 | |
| 12 | 2016 | 8 | |
| 13 | 2016 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2021 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2016 | 4 | |
| 20 | 2019 | 3 |
About Young Joon Kwon
Young Joon Kwon is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Aging and Biomedical Engineering, having authored 25 papers that have together received 431 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Advanced X-ray and CT Imaging (3 papers), Medical Imaging Techniques and Applications (3 papers), COVID-19 diagnosis using AI (3 papers), Metabolism and Genetic Disorders (2 papers), Cerebral Venous Sinus Thrombosis (2 papers) and Digital Radiography and Breast Imaging (2 papers). The work is most often cited by research in Aging (67 citations), Health Informatics (22 citations), Clinical Biochemistry (48 citations), Biochemistry (31 citations) and Neurology (40 citations). Young Joon Kwon has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Marni J. Falk, Julian Ostrovsky, Shana E. McCormack, Rui Xiao, Erzsébet Polyák, Min Peng, Mai Tsukikawa, Zhe Zhang, Michael J. Bennett and Yair Argon. Their work appears in journals such as Human Molecular Genetics, Mitochondrion, Nature Communications, Scientific Reports and Pediatric Research.
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.