Jae‐Woong Hwang
- Molecular Biology top 10%
- Physiology top 5%
- Geriatrics and Gerontology top 0.5%
- Pulmonary and Respiratory Medicine top 5%
- Epidemiology top 10%
- Co-authors
- Irfan RahmanHongwei YaoIsaac K. SundarSangwoon ChungSamuel CaitoGnanapragasam ArunachalamVuokko L. KinnulaMichael W. McBurney
- Topics
- Genomics, phytochemicals, and oxidative stress (6 papers)Sirtuins and Resveratrol in Medicine (6 papers)NF-κB Signaling Pathways (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesSouth KoreaFinland
In The Last Decade
Jae‐Woong Hwang
35 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.2k
- Physiology 635
- Geriatrics and Gerontology 594
- Pulmonary and Respiratory Medicine 442
- Epidemiology 406
Countries citing papers authored by Jae‐Woong Hwang
This map shows the geographic impact of Jae‐Woong Hwang'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 Jae‐Woong Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae‐Woong Hwang more than expected).
Fields of papers citing papers by Jae‐Woong Hwang
This network shows the impact of papers produced by Jae‐Woong Hwang. 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 Jae‐Woong Hwang. The network helps show where Jae‐Woong Hwang may publish in the future.
Co-authorship network of co-authors of Jae‐Woong Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Woong Hwang. A scholar is included among the top collaborators of Jae‐Woong Hwang 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 Jae‐Woong Hwang. Jae‐Woong Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 69 | |
| 3 | 60 | |
| 4 | 415 | |
| 5 | 50 | |
| 6 | 296 | |
| 7 | 77 | |
| 8 | 45 | |
| 9 | 120 | |
| 10 | 127 | |
| 11 | 50 | |
| 12 | 24 | |
| 13 | 55 | |
| 14 | 156 | |
| 15 | 50 | |
| 16 | 22 | |
| 17 | 20 | |
| 18 | 24 | |
| 19 | 44 | |
| 20 | 2 |
About Jae‐Woong Hwang
Jae‐Woong Hwang is a scholar working on Geriatrics and Gerontology, Physiology and Cancer Research, having authored 35 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (6 papers), Sirtuins and Resveratrol in Medicine (6 papers) and NF-κB Signaling Pathways (5 papers). The work is most often cited by research in Geriatrics and Gerontology (594 citations), Aging (75 citations) and Endocrine and Autonomic Systems (183 citations). Jae‐Woong Hwang has collaborated with scholars based in United States, South Korea and Finland. Frequent co-authors include Irfan Rahman, Hongwei Yao, Isaac K. Sundar, Sangwoon Chung, Samuel Caito, Gnanapragasam Arunachalam, Vuokko L. Kinnula, Michael W. McBurney, R. Saravanan and Michael T. Sellix. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.