Hee‐Don Chae
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- Receptor Mechanisms and Signaling 6
- RNA Interference and Gene Delivery 5
- Protein Kinase Regulation and GTPase Signaling 5
- RNA modifications and cancer 5
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- Neuroscience and Neuropharmacology Research 3
- Nuclear Receptors and Signaling 3
- Co-authors
- Hal E. Broxmeyer (6 shared papers)Deug Y. Shin (5 shared papers)Kyong‐Tai Kim (12 shared papers)David A. Williams (4 shared papers)Jeanho Yun (4 shared papers)Yi Gu (3 shared papers)Yung‐Jue Bang (2 shared papers)Jamie E. Siefring (2 shared papers)
- Journals
- Blood (12 papers)Journal of Neurochemistry (3 papers)Journal of Biological Chemistry (3 papers)Oncotarget (2 papers)British Journal of Pharmacology (2 papers)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Hee‐Don Chae
37 papers receiving 988 citations
Peers
Comparison fields: 5 of 87
- Geriatrics and Gerontology 81
- Endocrine and Autonomic Systems 90
- Aging 18
- Molecular Biology 608
- Oncology 214
Countries citing papers authored by Hee‐Don Chae
This map shows the geographic impact of Hee‐Don Chae'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 Hee‐Don Chae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hee‐Don Chae more than expected).
Fields of papers citing papers by Hee‐Don Chae
This network shows the impact of papers produced by Hee‐Don Chae. 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 Hee‐Don Chae. The network helps show where Hee‐Don Chae may publish in the future.
Co-authors
The 25 scholars most cited alongside Hee‐Don Chae, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Constitutive activation of cyclin B1-associated cdc2 kinase overrides p53-mediated G2-M arrest. | 2000 | 98 |
| 2 | 2006 | 93 | |
| 3 | 2010 | 86 | |
| 4 | 2010 | 79 | |
| 5 | 2005 | 69 | |
| 6 | 2007 | 69 | |
| 7 | 2003 | 69 | |
| 8 | 2004 | 59 | |
| 9 | 2013 | 44 | |
| 10 | 2004 | 37 | |
| 11 | 2010 | 32 | |
| 12 | 1999 | 29 | |
| 13 | 1999 | 25 | |
| 14 | 2001 | 25 | |
| 15 | 2017 | 23 | |
| 16 | 2011 | 19 | |
| 17 | 2020 | 17 | |
| 18 | 2019 | 17 | |
| 19 | 1996 | 17 | |
| 20 | 2013 | 11 |
About Hee‐Don Chae
Hee‐Don Chae is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Hematology, Oncology and Immunology, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Acute Myeloid Leukemia Research (6 papers), RNA Interference and Gene Delivery (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), RNA modifications and cancer (5 papers), Cancer-related Molecular Pathways (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Nuclear Receptors and Signaling (3 papers). The work is most often cited by research in Geriatrics and Gerontology (81 citations), Endocrine and Autonomic Systems (90 citations), Aging (18 citations), Molecular Biology (608 citations) and Oncology (214 citations). Hee‐Don Chae has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Hal E. Broxmeyer, Deug Y. Shin, Kyong‐Tai Kim, David A. Williams, Jeanho Yun, Yi Gu, Yung‐Jue Bang, Jamie E. Siefring, David A. Hildeman and Jong‐So Kim. Their work appears in journals such as Blood, Journal of Neurochemistry, Journal of Biological Chemistry, Oncotarget and British Journal of Pharmacology.
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.