Kee-Pyo Kim
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Aging top 10%
Papers in
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- Neurogenesis and neuroplasticity mechanisms 8
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- Pluripotent Stem Cells Research 31
- CRISPR and Genetic Engineering 15
- Renal and related cancers 6
- Epigenetics and DNA Methylation 4
- Co-authors
- Hans Robert Schöler (27 shared papers)Johnny Kim (8 shared papers)Guangming Wu (8 shared papers)Thuc T. Le (2 shared papers)Guoping Fan (2 shared papers)Kym Francis Faull (2 shared papers)Sergiy Velychko (5 shared papers)Juyong Yoon (8 shared papers)
- Journals
- Stem Cell Research (4 papers)Nature Communications (4 papers)Cell Reports (4 papers)Science Advances (4 papers)Stem Cells (2 papers)
- Partner nations
- GermanySouth KoreaChina
In The Last Decade
Kee-Pyo Kim
45 papers receiving 1.7k citations
Kee-Pyo Kim's Hit Papers
Peers
Comparison fields: 5 of 98
- Developmental Neuroscience 228
- Aging 40
- Molecular Biology 1.3k
- Neurology 86
- Cellular and Molecular Neuroscience 167
Countries citing papers authored by Kee-Pyo Kim
This map shows the geographic impact of Kee-Pyo 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 Kee-Pyo Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kee-Pyo Kim more than expected).
Fields of papers citing papers by Kee-Pyo Kim
This network shows the impact of papers produced by Kee-Pyo 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 Kee-Pyo Kim. The network helps show where Kee-Pyo Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Kee-Pyo 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Reversible reprogramming of cardiomyocytes to a fetal state drives heart regeneration in mice Hit paper breakdown → | 2021 | 219 |
| 2 | 2017 | 213 | |
| 3 | 2011 | 132 | |
| 4 | 2015 | 120 | |
| 5 | 2019 | 94 | |
| 6 | 2017 | 88 | |
| 7 | 2020 | 86 | |
| 8 | 2015 | 72 | |
| 9 | 2016 | 66 | |
| 10 | 2014 | 62 | |
| 11 | 2019 | 58 | |
| 12 | 2014 | 45 | |
| 13 | 2020 | 40 | |
| 14 | 2016 | 38 | |
| 15 | 2020 | 35 | |
| 16 | 2021 | 30 | |
| 17 | 2016 | 26 | |
| 18 | 2021 | 25 | |
| 19 | 2019 | 25 | |
| 20 | 2016 | 25 |
About Kee-Pyo Kim
Kee-Pyo Kim is a scholar working on Developmental Neuroscience, Molecular Biology, Hepatology, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 47 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (31 papers), CRISPR and Genetic Engineering (15 papers), 3D Printing in Biomedical Research (8 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Renal and related cancers (6 papers), Epigenetics and DNA Methylation (4 papers), Liver physiology and pathology (4 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Developmental Neuroscience (228 citations), Aging (40 citations), Molecular Biology (1.3k citations), Neurology (86 citations) and Cellular and Molecular Neuroscience (167 citations). Kee-Pyo Kim has collaborated with scholars based in Germany, South Korea and China. Frequent co-authors include Hans Robert Schöler, Johnny Kim, Guangming Wu, Thuc T. Le, Guoping Fan, Kym Francis Faull, Sergiy Velychko, Juyong Yoon, Yanpu Chen and Marcos Jesus Araúzo-Bravo. Their work appears in journals such as Stem Cell Research, Nature Communications, Cell Reports, Science Advances and Stem Cells.
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.