Young Jun Won
Impact in
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- Bone health and osteoporosis research
Papers in
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- Bone health and osteoporosis research 8
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- Diabetes, Cardiovascular Risks, and Lipoproteins 1
- Co-authors
- Se Hwa Kim (14 shared papers)Yoo Mee Kim (14 shared papers)Sang‐Wook Yi (5 shared papers)H. C. Lee (1 shared paper)Sung‐Kil Lim (1 shared paper)Peter X. Ma (1 shared paper)Kevin B. Hicks (1 shared paper)Peter Hayman Cooke (1 shared paper)
- Journals
- Journal of Bone and Mineral Research (3 papers)Osteoporosis International (2 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)Metabolic Syndrome and Related Disorders (1 paper)Archives of Gerontology and Geriatrics (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Young Jun Won
24 papers receiving 537 citations
Peers
Comparison fields: 5 of 89
- Orthopedics and Sports Medicine 144
- Endocrinology, Diabetes and Metabolism 79
- Biomaterials 63
- Nephrology 28
- Molecular Medicine 19
Countries citing papers authored by Young Jun Won
This map shows the geographic impact of Young Jun Won'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 Jun Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young Jun Won more than expected).
Fields of papers citing papers by Young Jun Won
This network shows the impact of papers produced by Young Jun Won. 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 Jun Won. The network helps show where Young Jun Won may publish in the future.
Co-authors
The 25 scholars most cited alongside Young Jun Won, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 107 | |
| 2 | 1999 | 81 | |
| 3 | 2020 | 56 | |
| 4 | 2018 | 48 | |
| 5 | 1997 | 44 | |
| 6 | 2019 | 28 | |
| 7 | 2020 | 27 | |
| 8 | 2022 | 26 | |
| 9 | 2016 | 25 | |
| 10 | 2019 | 19 | |
| 11 | 2021 | 16 | |
| 12 | 2019 | 14 | |
| 13 | 2016 | 14 | |
| 14 | 2020 | 12 | |
| 15 | 2005 | 11 | |
| 16 | 2021 | 8 | |
| 17 | 2022 | 6 | |
| 18 | 1999 | 6 | |
| 19 | 2018 | 4 | |
| 20 | 2018 | 3 |
About Young Jun Won
Young Jun Won is a scholar working on Orthopedics and Sports Medicine, Endocrinology, Diabetes and Metabolism, Nephrology, Surgery and Physiology, having authored 28 papers that have together received 561 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (8 papers), Estrogen and related hormone effects (3 papers), Hip and Femur Fractures (3 papers), Nutrition and Health in Aging (3 papers), Bone health and treatments (2 papers), Bone Tissue Engineering Materials (2 papers), Dialysis and Renal Disease Management (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (144 citations), Endocrinology, Diabetes and Metabolism (79 citations), Biomaterials (63 citations), Nephrology (28 citations) and Molecular Medicine (19 citations). Young Jun Won has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Se Hwa Kim, Yoo Mee Kim, Sang‐Wook Yi, H. C. Lee, Sung‐Kil Lim, Peter X. Ma, Kevin B. Hicks, Peter Hayman Cooke, David R. Coffin and LinShu Liu. Their work appears in journals such as Journal of Bone and Mineral Research, Osteoporosis International, The Journal of Clinical Endocrinology & Metabolism, Metabolic Syndrome and Related Disorders and Archives of Gerontology and Geriatrics.
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.