In-Hyun Park

10.7k citations
32 papers · 8.1k indexed · 3 hit papers · h-index 26

In-Hyun Park

31 papers receiving 7.9k citations

Hit Papers

Differential methylation of tissue- and cancer-specific C...867200720262013201950010001.5k2.0k

Peers

In-Hyun Park
Comparison fields: 5 of 128
  • Molecular Biology 7.0k
  • Developmental Neuroscience 380
  • Genetics 682
  • Cellular and Molecular Neuroscience 941
  • Aging 80
Replace Guðrún A. Jónsdóttir with:
Guðrún A. Jónsdóttir United States
Jeff Nie United States
Kim Smuga-Otto United States
Maxim A. Vodyanik United States
Shulan Tian United States
Andrew G. Elefanty Australia
Hongguang Huo United States
Anna M. Wobus Germany
Matthias Stadtfeld United States
M. William Lensch United States
In-Hyun Park relative to Guðrún A. Jónsdóttir United States Guðrún A. Jónsdóttir's profile →
Citations per field
00.5×1.5×
Guðrún A. Jónsdóttir · 1×
Citations per year

Countries citing papers authored by In-Hyun Park

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with In-Hyun Park Line = papers co-authored together In-Hyun Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 201838
3 201632
4 2015124
5 20156
6 201522
7 2012257
8 2011184
9 201015
10 2010221
11 2009278
12 2009308
13 2009375
14
Differential methylation of tissue- and cancer-specific CpG island shores distinguishes human induced pluripotent stem cells, embryonic stem cells and fibroblastsbreakdown →
2009867
15
Disease-Specific Induced Pluripotent Stem Cellsbreakdown →
20081616
16
Reprogramming of human somatic cells to pluripotency with defined factorsbreakdown →
20072163
17 200672
18 200564
19 2003140
20 200277

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.

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