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 9
- Renal and related cancers 3
- Epigenetics and DNA Methylation 2
-
- Nerve injury and regeneration 2
- Co-authors
- Kyung‐Soon Park (11 shared papers)Kwang‐Soo Kim (11 shared papers)Pierre Leblanc (7 shared papers)Dae‐Kwan Kim (3 shared papers)Jin Hyuk Jung (2 shared papers)Wongi Seol (2 shared papers)Jihwan Song (3 shared papers)Jeha Jeon (4 shared papers)
- Journals
- Stem Cells (2 papers)Stem Cells and Development (2 papers)Cancer Research and Treatment (1 paper)Progress in Neurobiology (1 paper)Cell Research (1 paper)
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Young Cha
24 papers receiving 765 citations
Peers
Comparison fields: 5 of 88
- Geriatrics and Gerontology 66
- Developmental Neuroscience 38
- Cancer Research 121
- Molecular Biology 473
- Cellular and Molecular Neuroscience 125
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 136 | |
| 2 | 2018 | 93 | |
| 3 | 2013 | 79 | |
| 4 | 2023 | 76 | |
| 5 | 2021 | 49 | |
| 6 | Estrogen receptor-alpha mediates the effects of estradiol on telomerase activity in human mesenchymal stem cells. | 2008 | 39 |
| 7 | 2013 | 34 | |
| 8 | 2008 | 32 | |
| 9 | 2013 | 29 | |
| 10 | 2010 | 28 | |
| 11 | 2012 | 28 | |
| 12 | 2023 | 27 | |
| 13 | 2023 | 26 | |
| 14 | 2010 | 20 | |
| 15 | 2012 | 17 | |
| 16 | 2022 | 14 | |
| 17 | 2006 | 13 | |
| 18 | 2024 | 11 | |
| 19 | 2013 | 10 | |
| 20 | 2014 | 5 |
About Young Cha
Young Cha is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Oncology and Cancer Research, having authored 25 papers that have together received 772 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (14 papers), CRISPR and Genetic Engineering (9 papers), MicroRNA in disease regulation (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Renal and related cancers (3 papers), Nerve injury and regeneration (2 papers), Sirtuins and Resveratrol in Medicine (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Geriatrics and Gerontology (66 citations), Developmental Neuroscience (38 citations), Cancer Research (121 citations), Molecular Biology (473 citations) and Cellular and Molecular Neuroscience (125 citations). Young Cha has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Kyung‐Soon Park, Kwang‐Soo Kim, Pierre Leblanc, Dae‐Kwan Kim, Jin Hyuk Jung, Wongi Seol, Jihwan Song, Jeha Jeon, Tae Yoon Park and Bin Song. Their work appears in journals such as Stem Cells, Stem Cells and Development, Cancer Research and Treatment, Progress in Neurobiology and Cell Research.
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.