In‐Hyun Park
- Molecular Biology top 1%
- Genetics top 2%
- Biomedical Engineering top 5%
- Surgery top 5%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- George Q. DaleyYoshiaki TanakaKun‐Yong KimYangfei XiangHongguang HuoYuan GaoBin XieEmily M LeProust
- Topics
- Pluripotent Stem Cells Research (51 papers)CRISPR and Genetic Engineering (30 papers)Renal and related cancers (13 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
In‐Hyun Park
86 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 5.8k
- Genetics 1.1k
- Biomedical Engineering 946
- Surgery 898
- Cellular and Molecular Neuroscience 854
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 of co-authors of In‐Hyun Park
This figure shows the co-authorship network connecting the top 25 collaborators of In‐Hyun Park. A scholar is included among the top collaborators of In‐Hyun Park based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with In‐Hyun Park. In‐Hyun Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | A nomenclature consensus for nervous system organoids and assembloidsbreakdown → | 171 |
| 6 | 40 | |
| 7 | 27 | |
| 8 | 63 | |
| 9 | 8 | |
| 10 | hESC-Derived Thalamic Organoids Form Reciprocal Projections When Fused with Cortical Organoidsbreakdown → | 324 |
| 11 | 18 | |
| 12 | 6 | |
| 13 | 14 | |
| 14 | 7 | |
| 15 | 444 | |
| 16 | 357 | |
| 17 | 44 | |
| 18 | 266 | |
| 19 | 311 | |
| 20 | Isolation and characterization of 4-(2,4-dichlorophenoxy)butyric acid-degrading bacteria from agricultural soils | 10 |
About In‐Hyun Park
In‐Hyun Park is a scholar working on Developmental Neuroscience, Molecular Biology and Genetics, having authored 89 papers that have together received 7.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (51 papers), CRISPR and Genetic Engineering (30 papers) and Renal and related cancers (13 papers). The work is most often cited by research in Developmental Neuroscience (549 citations), Molecular Biology (5.8k citations) and Aging (86 citations). In‐Hyun Park has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include George Q. Daley, Yoshiaki Tanaka, Kun‐Yong Kim, Yangfei Xiang, Hongguang Huo, Yuan Gao, Bin Xie, Emily M LeProust, Bilal Çakır and Je‐Hyuk Lee. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids 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.