Kee-Pyo Kim
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Aging top 5%
Papers in
-
- Pluripotent Stem Cells Research 29
- CRISPR and Genetic Engineering 13
- Renal and related cancers 6
- Epigenetics and DNA Methylation 4
- Congenital heart defects research 3
- Surgery 7
- Co-authors
- Hans R. Schöler (27 shared papers)Johnny Kim (8 shared papers)Guangming Wu (8 shared papers)Guoping Fan (2 shared papers)Kym F. Faull (2 shared papers)Thuc T. Le (2 shared papers)Dong‐Wook Han (17 shared papers)Sergiy Velychko (5 shared papers)
- Journals
- Nature Communications (4 papers)Stem Cell Research (4 papers)Science Advances (4 papers)Cell Reports (3 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- GermanySouth KoreaChina
In The Last Decade
Kee-Pyo Kim
41 papers receiving 1.6k citations
Kee-Pyo Kim's Hit Papers
Peers
Comparison fields: 5 of 94
- Developmental Neuroscience 204
- Aging 39
- Molecular Biology 1.2k
- Neurology 82
- Cellular and Molecular Neuroscience 157
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 197 | |
| 2 | Reversible reprogramming of cardiomyocytes to a fetal state drives heart regeneration in mice Hit paper breakdown → | 2021 | 192 |
| 3 | 2011 | 118 | |
| 4 | 2015 | 103 | |
| 5 | 2017 | 84 | |
| 6 | 2019 | 83 | |
| 7 | 2020 | 80 | |
| 8 | 2007 | 77 | |
| 9 | 2015 | 68 | |
| 10 | 2016 | 64 | |
| 11 | 2014 | 61 | |
| 12 | 2019 | 55 | |
| 13 | 2014 | 40 | |
| 14 | 2016 | 38 | |
| 15 | 2020 | 35 | |
| 16 | 2020 | 35 | |
| 17 | 2021 | 25 | |
| 18 | 2019 | 25 | |
| 19 | 2016 | 25 | |
| 20 | 2020 | 24 |
About Kee-Pyo Kim
Kee-Pyo Kim is a scholar working on Molecular Biology, Surgery, Developmental Neuroscience, Biomedical Engineering and Genetics, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (29 papers), CRISPR and Genetic Engineering (13 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), 3D Printing in Biomedical Research (7 papers), Renal and related cancers (6 papers), Liver physiology and pathology (4 papers), Epigenetics and DNA Methylation (4 papers) and Congenital heart defects research (3 papers). The work is most often cited by research in Developmental Neuroscience (204 citations), Aging (39 citations), Molecular Biology (1.2k citations), Neurology (82 citations) and Cellular and Molecular Neuroscience (157 citations). Kee-Pyo Kim has collaborated with scholars based in Germany, South Korea and China. Frequent co-authors include Hans R. Schöler, Johnny Kim, Guangming Wu, Guoping Fan, Kym F. Faull, Thuc T. Le, Dong‐Wook Han, Sergiy Velychko, Juyong Yoon and Marcos J. Araúzo‐Bravo. Their work appears in journals such as Nature Communications, Stem Cell Research, Science Advances, Cell Reports and Journal of Biological Chemistry.
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.