Young‐Rae Kim
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Cell death mechanisms and regulation 3
- Ubiquitin and proteasome pathways 2
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- MicroRNA in disease regulation 5
- Co-authors
- Kaikobad Irani (20 shared papers)Santosh Kumar (16 shared papers)Ajit Vikram (16 shared papers)Asma Naqvi (7 shared papers)Ajay Kumar (7 shared papers)Julia S. Jacobs (13 shared papers)Qiuxia Li (12 shared papers)Modar Kassan (9 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)Arteriosclerosis Thrombosis and Vascular Biology (3 papers)Scientific Reports (3 papers)American Journal of Physiology-Heart and Circulatory Physiology (2 papers)Experimental & Molecular Medicine (2 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Young‐Rae Kim
35 papers receiving 972 citations
Peers
Comparison fields: 5 of 100
- Geriatrics and Gerontology 117
- Cancer Research 203
- Aging 15
- Physiology 178
- Molecular Biology 500
Countries citing papers authored by Young‐Rae Kim
This map shows the geographic impact of Young‐Rae Kim'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‐Rae Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young‐Rae Kim more than expected).
Fields of papers citing papers by Young‐Rae Kim
This network shows the impact of papers produced by Young‐Rae Kim. 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‐Rae Kim. The network helps show where Young‐Rae Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Young‐Rae Kim, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 106 | |
| 2 | 2016 | 101 | |
| 3 | 2017 | 99 | |
| 4 | 2011 | 83 | |
| 5 | 2016 | 72 | |
| 6 | 2008 | 56 | |
| 7 | 2014 | 54 | |
| 8 | 2012 | 50 | |
| 9 | 2017 | 40 | |
| 10 | 2010 | 33 | |
| 11 | 2008 | 31 | |
| 12 | 2013 | 31 | |
| 13 | 2017 | 26 | |
| 14 | 2001 | 26 | |
| 15 | 2003 | 23 | |
| 16 | 2008 | 20 | |
| 17 | 2017 | 19 | |
| 18 | 2014 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2022 | 13 |
About Young‐Rae Kim
Young‐Rae Kim is a scholar working on Molecular Biology, Cancer Research, Sociology and Political Science, Geriatrics and Gerontology and Epidemiology, having authored 36 papers that have together received 990 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Diverse Aspects of Tourism Research (4 papers), Adipose Tissue and Metabolism (4 papers), Sirtuins and Resveratrol in Medicine (4 papers), Cell death mechanisms and regulation (3 papers), Ubiquitin and proteasome pathways (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Geriatrics and Gerontology (117 citations), Cancer Research (203 citations), Aging (15 citations), Physiology (178 citations) and Molecular Biology (500 citations). Young‐Rae Kim has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Kaikobad Irani, Santosh Kumar, Ajit Vikram, Asma Naqvi, Ajay Kumar, Julia S. Jacobs, Qiuxia Li, Modar Kassan, Timothy A. Hoffman and Cuk‐Seong Kim. Their work appears in journals such as Biochemical and Biophysical Research Communications, Arteriosclerosis Thrombosis and Vascular Biology, Scientific Reports, American Journal of Physiology-Heart and Circulatory Physiology and Experimental & Molecular Medicine.
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.