Young Cha
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Geriatrics and Gerontology top 5%
Papers in
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- Pluripotent Stem Cells Research 17
- CRISPR and Genetic Engineering 11
- Renal and related cancers 3
-
- Nuclear Receptors and Signaling 3
- Neuroscience and Neural Engineering 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)Tae Yoon Park (3 shared papers)Jeha Jeon (4 shared papers)Bin Song (3 shared papers)
- Journals
- Cell stem cell (2 papers)Stem Cells and Development (2 papers)Stem Cells (2 papers)Cell Research (1 paper)Biomaterials Research (1 paper)
- Partner nations
- South KoreaUnited StatesPoland
In The Last Decade
Young Cha
29 papers receiving 1.4k citations
Young Cha's Hit Papers
Peers
Comparison fields: 5 of 94
- Developmental Neuroscience 120
- Geriatrics and Gerontology 74
- Cellular and Molecular Neuroscience 362
- Molecular Biology 885
- Neurology 166
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Personalized iPSC-Derived Dopamine Progenitor Cells for Parkinson’s Disease Hit paper breakdown → | 2020 | 407 |
| 2 | 2017 | 151 | |
| 3 | 2019 | 132 | |
| 4 | 2018 | 105 | |
| 5 | 2023 | 94 | |
| 6 | 2013 | 83 | |
| 7 | 2021 | 55 | |
| 8 | Estrogen receptor-alpha mediates the effects of estradiol on telomerase activity in human mesenchymal stem cells. | 2008 | 39 |
| 9 | 2013 | 35 | |
| 10 | 2023 | 33 | |
| 11 | 2008 | 32 | |
| 12 | 2023 | 32 | |
| 13 | 2013 | 30 | |
| 14 | 2012 | 28 | |
| 15 | 2010 | 27 | |
| 16 | 2010 | 20 | |
| 17 | 2025 | 19 | |
| 18 | 2022 | 17 | |
| 19 | 2024 | 17 | |
| 20 | 2012 | 15 |
About Young Cha
Young Cha is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Geriatrics and Gerontology and Cancer Research, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (17 papers), CRISPR and Genetic Engineering (11 papers), Cytokine Signaling Pathways and Interactions (3 papers), Biomedical Ethics and Regulation (3 papers), Nuclear Receptors and Signaling (3 papers), Renal and related cancers (3 papers), MicroRNA in disease regulation (3 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Developmental Neuroscience (120 citations), Geriatrics and Gerontology (74 citations), Cellular and Molecular Neuroscience (362 citations), Molecular Biology (885 citations) and Neurology (166 citations). Young Cha has collaborated with scholars based in South Korea, United States and Poland. Frequent co-authors include Kyung‐Soon Park, Kwang‐Soo Kim, Pierre R Leblanc, Dae‐Kwan Kim, Jin Hyuk Jung, Tae Yoon Park, Jeha Jeon, Bin Song, Wongi Seol and Nayeon Lee. Their work appears in journals such as Cell stem cell, Stem Cells and Development, Stem Cells, Cell Research and Biomaterials 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.