Jee‐Hyun Um
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Genomics, phytochemicals, and oxidative stress 4
- Mitochondrial Function and Pathology 4
- Bioactive Natural Diterpenoids Research 2
- Epidemiology 10
- Autophagy in Disease and Therapy 9
- Co-authors
- Jeanho Yun (15 shared papers)Young Yeon Kim (12 shared papers)Hye Jin Jee (3 shared papers)Heon‐Jin Lee (2 shared papers)Sun Sik Bae (2 shared papers)Young Mi Kim (1 shared paper)Ji-Woong Choi (1 shared paper)Kyungjin Jung (1 shared paper)
- Journals
- The FASEB Journal (3 papers)PLoS ONE (3 papers)International Journal of Molecular Sciences (2 papers)Oncotarget (2 papers)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Jee‐Hyun Um
24 papers receiving 824 citations
Peers
Comparison fields: 5 of 88
- Geriatrics and Gerontology 44
- Aging 16
- Cancer Research 119
- Epidemiology 264
- Molecular Biology 487
Countries citing papers authored by Jee‐Hyun Um
This map shows the geographic impact of Jee‐Hyun Um'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 Jee‐Hyun Um with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jee‐Hyun Um more than expected).
Fields of papers citing papers by Jee‐Hyun Um
This network shows the impact of papers produced by Jee‐Hyun Um. 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 Jee‐Hyun Um. The network helps show where Jee‐Hyun Um may publish in the future.
Co-authors
The 25 scholars most cited alongside Jee‐Hyun Um, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 157 | |
| 2 | 2007 | 92 | |
| 3 | 2017 | 84 | |
| 4 | 2019 | 65 | |
| 5 | 2017 | 56 | |
| 6 | 2019 | 52 | |
| 7 | 2018 | 37 | |
| 8 | 2015 | 35 | |
| 9 | 2001 | 28 | |
| 10 | 2018 | 25 | |
| 11 | 2016 | 24 | |
| 12 | 2015 | 24 | |
| 13 | 2011 | 21 | |
| 14 | 2004 | 18 | |
| 15 | 2016 | 16 | |
| 16 | 2023 | 15 | |
| 17 | 2022 | 14 | |
| 18 | 2020 | 13 | |
| 19 | 2023 | 13 | |
| 20 | 2013 | 13 |
About Jee‐Hyun Um
Jee‐Hyun Um is a scholar working on Molecular Biology, Epidemiology, Physiology, Oncology and Pharmacology, having authored 26 papers that have together received 836 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (9 papers), Cancer Treatment and Pharmacology (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Mitochondrial Function and Pathology (4 papers), Adipose Tissue and Metabolism (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Bioactive Natural Diterpenoids Research (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Geriatrics and Gerontology (44 citations), Aging (16 citations), Cancer Research (119 citations), Epidemiology (264 citations) and Molecular Biology (487 citations). Jee‐Hyun Um has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Jeanho Yun, Young Yeon Kim, Hye Jin Jee, Heon‐Jin Lee, Sun Sik Bae, Young Mi Kim, Ji-Woong Choi, Kyungjin Jung, Arindam Das-Gupta and Hyeon Ung Park. Their work appears in journals such as The FASEB Journal, PLoS ONE, International Journal of Molecular Sciences, Oncotarget and Proceedings of the National Academy of Sciences.
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.