Young Cha
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Developmental Neuroscience top 10%
Papers in
-
- Pluripotent Stem Cells Research 14
- CRISPR and Genetic Engineering 10
- Renal and related cancers 3
- Mitochondrial Function and Pathology 2
-
- Nuclear Receptors and Signaling 2
- Co-authors
- Kyung‐Soon Park (11 shared papers)Kwang‐Soo Kim (11 shared papers)Pierre R Leblanc (7 shared papers)Dae‐Kwan Kim (3 shared papers)Jin Hyuk Jung (3 shared papers)Jeha Jeon (4 shared papers)Wongi Seol (2 shared papers)Tae Yoon Park (3 shared papers)
- Journals
- Stem Cells and Development (2 papers)Stem Cells (2 papers)Nature (1 paper)Progress in Neurobiology (1 paper)Gene Expression (1 paper)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Young Cha
26 papers receiving 826 citations
Peers
Comparison fields: 5 of 89
- Geriatrics and Gerontology 71
- Developmental Neuroscience 34
- Cancer Research 112
- Cellular and Molecular Neuroscience 126
- Molecular Biology 449
Countries citing papers authored by Young Cha
This map shows the geographic impact of Young Cha'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 Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young Cha more than expected).
Fields of papers citing papers by Young Cha
This network shows the impact of papers produced by Young Cha. 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 Cha. The network helps show where Young Cha may publish in the future.
Co-authors
The 25 scholars most cited alongside Young Cha, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 147 | |
| 2 | 2018 | 102 | |
| 3 | 2023 | 91 | |
| 4 | 2013 | 80 | |
| 5 | 2021 | 53 | |
| 6 | Estrogen receptor-alpha mediates the effects of estradiol on telomerase activity in human mesenchymal stem cells. | 2008 | 39 |
| 7 | 2013 | 35 | |
| 8 | 2023 | 33 | |
| 9 | 2008 | 32 | |
| 10 | 2023 | 31 | |
| 11 | 2013 | 30 | |
| 12 | 2012 | 28 | |
| 13 | 2010 | 27 | |
| 14 | 2010 | 20 | |
| 15 | 2024 | 16 | |
| 16 | 2012 | 15 | |
| 17 | 2022 | 15 | |
| 18 | 2006 | 13 | |
| 19 | 2013 | 10 | |
| 20 | 2014 | 5 |
About Young Cha
Young Cha is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Geriatrics and Gerontology, Cancer Research and Physiology, having authored 27 papers that have together received 833 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (14 papers), CRISPR and Genetic Engineering (10 papers), Cytokine Signaling Pathways and Interactions (3 papers), Renal and related cancers (3 papers), MicroRNA in disease regulation (3 papers), Mitochondrial Function and Pathology (2 papers), Nuclear Receptors and Signaling (2 papers) and Sirtuins and Resveratrol in Medicine (2 papers). The work is most often cited by research in Geriatrics and Gerontology (71 citations), Developmental Neuroscience (34 citations), Cancer Research (112 citations), Cellular and Molecular Neuroscience (126 citations) and Molecular Biology (449 citations). Young Cha has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Kyung‐Soon Park, Kwang‐Soo Kim, Pierre R Leblanc, Dae‐Kwan Kim, Jin Hyuk Jung, Jeha Jeon, Wongi Seol, Tae Yoon Park, Nayeon Lee and Bin Song. Their work appears in journals such as Stem Cells and Development, Stem Cells, Nature, Progress in Neurobiology and Gene Expression.
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.