ChangHui Pak
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
Papers in
-
- Pluripotent Stem Cells Research 12
- CRISPR and Genetic Engineering 6
- Single-cell and spatial transcriptomics 4
- RNA Research and Splicing 4
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- Neuroscience and Neural Engineering 5
- Co-authors
- Peng Jin (2 shared papers)Marius Wernig (5 shared papers)Ranhui Duan (1 shared paper)Thomas C. Südhof (6 shared papers)Tamás Dankó (3 shared papers)Christopher Patzke (2 shared papers)Soham Chanda (2 shared papers)Henrik Ahlenius (2 shared papers)
- Journals
- Cell Reports (2 papers)Cell stem cell (2 papers)Nature Communications (1 paper)iScience (1 paper)ACS Biomaterials Science & Engineering (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
ChangHui Pak
26 papers receiving 2.6k citations
ChangHui Pak's Hit Papers
Peers
Comparison fields: 5 of 105
- Developmental Neuroscience 256
- Cellular and Molecular Neuroscience 652
- Aging 60
- Cancer Research 417
- Molecular Biology 1.8k
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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Rapid Single-Step Induction of Functional Neurons from Human Pluripotent Stem Cells Hit paper breakdown → | 2013 | 1048 |
| 2 | 2007 | 431 | |
| 3 | 2014 | 284 | |
| 4 | 2016 | 224 | |
| 5 | 2015 | 162 | |
| 6 | 2016 | 108 | |
| 7 | 2020 | 54 | |
| 8 | 2014 | 48 | |
| 9 | 2023 | 32 | |
| 10 | 2007 | 30 | |
| 11 | 2022 | 28 | |
| 12 | 2017 | 24 | |
| 13 | 2021 | 19 | |
| 14 | 2012 | 17 | |
| 15 | 2024 | 16 | |
| 16 | 2022 | 9 | |
| 17 | 2018 | 8 | |
| 18 | 2022 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2021 | 5 |
About ChangHui Pak
ChangHui Pak is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Biomedical Engineering and Developmental Neuroscience, having authored 29 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (6 papers), Genetics and Neurodevelopmental Disorders (5 papers), Neuroscience and Neural Engineering (5 papers), 3D Printing in Biomedical Research (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Single-cell and spatial transcriptomics (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Developmental Neuroscience (256 citations), Cellular and Molecular Neuroscience (652 citations), Aging (60 citations), Cancer Research (417 citations) and Molecular Biology (1.8k citations). ChangHui Pak has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Peng Jin, Marius Wernig, Ranhui Duan, Thomas C. Südhof, Tamás Dankó, Christopher Patzke, Soham Chanda, Henrik Ahlenius, Yingsha Zhang and Nan Yang. Their work appears in journals such as Cell Reports, Cell stem cell, Nature Communications, iScience and ACS Biomaterials Science & Engineering.
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.