Young‐Ki Paik
- Molecular Biology
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Physiology
- Spectroscopy top 10%
- Co-authors
- John M. TaylorDavid J. ChangCatherine A. ReardonRobert W. MahleyGareth E. DaviesJeong‐Hoon HahmNabil A. ElshourbagyMark S. Boguski
- Topics
- Advanced Proteomics Techniques and Applications (4 papers)Circadian rhythm and melatonin (4 papers)Genetics, Aging, and Longevity in Model Organisms (4 papers)
- Partner nations
- South KoreaUnited StatesSwitzerland
In The Last Decade
Young‐Ki Paik
17 papers receiving 688 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 375
- Surgery 184
- Endocrinology, Diabetes and Metabolism 133
- Physiology 117
- Spectroscopy 92
Countries citing papers authored by Young‐Ki Paik
This map shows the geographic impact of Young‐Ki Paik'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‐Ki Paik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young‐Ki Paik more than expected).
Fields of papers citing papers by Young‐Ki Paik
This network shows the impact of papers produced by Young‐Ki Paik. 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‐Ki Paik. The network helps show where Young‐Ki Paik may publish in the future.
Co-authorship network of co-authors of Young‐Ki Paik
This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Ki Paik. A scholar is included among the top collaborators of Young‐Ki Paik 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 Young‐Ki Paik. Young‐Ki Paik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 4 | |
| 3 | 12 | |
| 4 | 15 | |
| 5 | 34 | |
| 6 | 48 | |
| 7 | 17 | |
| 8 | 22 | |
| 9 | 1 | |
| 10 | 28 | |
| 11 | 24 | |
| 12 | 35 | |
| 13 | 38 | |
| 14 | 47 | |
| 15 | 116 | |
| 16 | 27 | |
| 17 | 237 |
About Young‐Ki Paik
Young‐Ki Paik is a scholar working on Aging, Endocrine and Autonomic Systems and Immunology and Allergy, having authored 17 papers that have together received 712 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Circadian rhythm and melatonin (4 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). The work is most often cited by research in Aging (56 citations), Endocrinology, Diabetes and Metabolism (133 citations) and Cancer Research (89 citations). Young‐Ki Paik has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include John M. Taylor, David J. Chang, Catherine A. Reardon, Robert W. Mahley, Gareth E. Davies, Jeong‐Hoon Hahm, Nabil A. Elshourbagy, Mark S. Boguski, Mark Freeman and David W. Walker. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.
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.