Seok Won Park
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Epidemiology
- Public Health, Environmental and Occupational Health
- Co-authors
- Bret H. GoodpasterFrances A. TylavskyTamara B. HarrisNathalie de RekeneireAnn V. SchwartzAnne B. NewmanElsa S. StrotmeyerDae Jung Kim
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)Diabetes Management and Education (3 papers)Sarcoma Diagnosis and Treatment (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Seok Won Park
11 papers receiving 837 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Physiology 424
- Endocrinology, Diabetes and Metabolism 264
- Molecular Biology 128
- Epidemiology 110
- Public Health, Environmental and Occupational Health 105
Countries citing papers authored by Seok Won Park
This map shows the geographic impact of Seok Won Park'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 Seok Won Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seok Won Park more than expected).
Fields of papers citing papers by Seok Won Park
This network shows the impact of papers produced by Seok Won Park. 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 Seok Won Park. The network helps show where Seok Won Park may publish in the future.
Co-authorship network of co-authors of Seok Won Park
This figure shows the co-authorship network connecting the top 25 collaborators of Seok Won Park. A scholar is included among the top collaborators of Seok Won Park based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seok Won Park. Seok Won Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 61 | |
| 4 | 38 | |
| 5 | Regeneration of facial nerve using mesenchymal stem cells in facial nerve palsy animal model | 2 |
| 6 | 148 | |
| 7 | 3 | |
| 8 | Decreased Muscle Strength and Quality in Older Adults With Type 2 Diabetesbreakdown → | 561 |
| 9 | 9 | |
| 10 | 27 | |
| 11 | Short Insulin Tolerance Test(SITT) for the Determination of in vivo Insulin Sensitivity-A Comparison with Euglycemic Clamp Test | 13 |
About Seok Won Park
Seok Won Park is a scholar working on Endocrinology, Diabetes and Metabolism, Complementary and alternative medicine and Pharmacy, having authored 11 papers that have together received 866 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diabetes Management and Education (3 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Geriatrics and Gerontology (80 citations), Physiology (424 citations) and Endocrinology, Diabetes and Metabolism (264 citations). Seok Won Park has collaborated with scholars based in South Korea and United States. Frequent co-authors include Bret H. Goodpaster, Frances A. Tylavsky, Tamara B. Harris, Nathalie de Rekeneire, Ann V. Schwartz, Anne B. Newman, Elsa S. Strotmeyer, Dae Jung Kim, Jongoh Kim and Hee Man Kim. Their work appears in journals such as Diabetes Care, Diabetes and Diabetes Research and Clinical Practice.
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.