ChangHui Pak
Impact in
- Developmental Neuroscience top 5%
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Neurogenesis and neuroplasticity mechanisms 4
-
- Neuroscience and Neural Engineering 4
- Co-authors
- Peng JinRanhui DuanMarius WernigThomas C. SüdhofTamás DankóFei YiSalomé Calado BotelhoChristopher Patzke
- Journals
- iScience (1 paper)ACS Biomaterials Science & Engineering (1 paper)Journal of Neuroscience (1 paper)Nature Communications (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
ChangHui Pak
25 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 88
- Developmental Neuroscience 132
- Cancer Research 420
- Cellular and Molecular Neuroscience 341
- Molecular Biology 1.1k
- Aging 29
Countries citing papers authored by ChangHui Pak
This map shows the geographic impact of ChangHui Pak'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 ChangHui Pak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ChangHui Pak more than expected).
Fields of papers citing papers by ChangHui Pak
This network shows the impact of papers produced by ChangHui Pak. 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 ChangHui Pak. The network helps show where ChangHui Pak may publish in the future.
Co-authors
The 25 scholars most cited alongside ChangHui Pak, 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 | 2024 | 1 | |
| 3 | 2024 | 13 | |
| 4 | 2023 | 25 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 7 | |
| 11 | 2020 | 51 | |
| 12 | 2017 | 24 | |
| 13 | 2016 | 221 | |
| 14 | 2016 | 104 | |
| 15 | 2015 | 156 | |
| 16 | 2014 | 46 | |
| 17 | 2014 | 278 | |
| 18 | 2012 | 17 | |
| 19 | 2007 | 432 | |
| 20 | 2007 | 30 |
About ChangHui Pak
ChangHui Pak is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology and Genetics, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (6 papers), Genetics and Neurodevelopmental Disorders (5 papers), Single-cell and spatial transcriptomics (4 papers), Neuroscience and Neural Engineering (4 papers), RNA Research and Splicing (4 papers), 3D Printing in Biomedical Research (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (132 citations), Cancer Research (420 citations), Cellular and Molecular Neuroscience (341 citations), Molecular Biology (1.1k citations) and Aging (29 citations). ChangHui Pak has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Peng Jin, Ranhui Duan, Marius Wernig, Thomas C. Südhof, Tamás Dankó, Fei Yi, Salomé Calado Botelho, Christopher Patzke, Stephan Maxeiner and Cheen Euong Ang. Their work appears in journals such as iScience, ACS Biomaterials Science & Engineering, Journal of Neuroscience, Nature Communications and Cell Reports.
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.