In-Hyun Park
- Molecular Biology top 0.5%
- Pluripotent Stem Cells Research 19
- CRISPR and Genetic Engineering 10
- Renal and related cancers 5
- Epigenetics and DNA Methylation 4
- PI3K/AKT/mTOR signaling in cancer 3
- Developmental Neuroscience top 1%
- Genetics top 1%
- Neurogenetic and Muscular Disorders Research 3
- Aging top 5%
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- 3D Printing in Biomedical Research 6
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- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- George Q. DaleyHongguang HuoM. William LenschTan A. InceJason A. WestAkiko YabuuchiPaul H. LerouRui Zhao
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
In-Hyun Park
31 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 7.0k
- Developmental Neuroscience 380
- Genetics 682
- Cellular and Molecular Neuroscience 941
- Aging 80
Countries citing papers authored by In-Hyun Park
This map shows the geographic impact of In-Hyun Park'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 In-Hyun Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In-Hyun Park more than expected).
Fields of papers citing papers by In-Hyun Park
This network shows the impact of papers produced by In-Hyun Park. 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 In-Hyun Park. The network helps show where In-Hyun Park may publish in the future.
Co-authorship network
The 25 scholars most cited alongside In-Hyun Park, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2018 | 38 | |
| 3 | 2016 | 32 | |
| 4 | 2015 | 124 | |
| 5 | 2015 | 6 | |
| 6 | 2015 | 22 | |
| 7 | 2012 | 257 | |
| 8 | 2011 | 184 | |
| 9 | 2010 | 15 | |
| 10 | 2010 | 221 | |
| 11 | 2009 | 278 | |
| 12 | 2009 | 308 | |
| 13 | 2009 | 375 | |
| 14 | Differential methylation of tissue- and cancer-specific CpG island shores distinguishes human induced pluripotent stem cells, embryonic stem cells and fibroblastsbreakdown → | 2009 | 867 |
| 15 | Disease-Specific Induced Pluripotent Stem Cellsbreakdown → | 2008 | 1616 |
| 16 | Reprogramming of human somatic cells to pluripotency with defined factorsbreakdown → | 2007 | 2163 |
| 17 | 2006 | 72 | |
| 18 | 2005 | 64 | |
| 19 | 2003 | 140 | |
| 20 | 2002 | 77 |
About In-Hyun Park
In-Hyun Park is a scholar working on Molecular Biology, Genetics and Developmental Neuroscience, having authored 32 papers that have together received 8.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (19 papers), CRISPR and Genetic Engineering (10 papers), 3D Printing in Biomedical Research (6 papers), Renal and related cancers (5 papers), Epigenetics and DNA Methylation (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Neurogenetic and Muscular Disorders Research (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Molecular Biology (7.0k citations), Developmental Neuroscience (380 citations) and Genetics (682 citations). In-Hyun Park has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include George Q. Daley, Hongguang Huo, M. William Lensch, Tan A. Ince, Jason A. West, Akiko Yabuuchi, Paul H. Lerou, Rui Zhao, Tim Ahfeldt and Chad A. Cowan.
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.