Chi W. Pak
Impact in
- Cell Biology top 2%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Developmental Neuroscience top 5%
Papers in
- Cell Biology 10
- Cellular Mechanics and Interactions 9
- Cellular transport and secretion 2
- Hippo pathway signaling and YAP/TAZ 2
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- Axon Guidance and Neuronal Signaling 2
- Neuroscience and Neural Engineering 1
- Co-authors
- James R. Bamburg (8 shared papers)Michael K. Rosen (3 shared papers)Ruei‐Jiun Hung (1 shared paper)Jonathan R. Terman (1 shared paper)Kevin C. Flynn (4 shared papers)Shae B. Padrick (2 shared papers)Ali A. Yunus (2 shared papers)Rohit V. Pappu (1 shared paper)
- Journals
- Cell (2 papers)Developmental Neurobiology (1 paper)Nature reviews. Neuroscience (1 paper)Current Alzheimer Research (1 paper)Molecular Cell (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Chi W. Pak
13 papers receiving 1.7k citations
Chi W. Pak's Hit Papers
Peers
Comparison fields: 5 of 106
- Cell Biology 552
- Developmental Neuroscience 86
- Cellular and Molecular Neuroscience 403
- Biophysics 122
- Molecular Biology 1.0k
Countries citing papers authored by Chi W. Pak
This map shows the geographic impact of Chi W. 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 Chi W. Pak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi W. Pak more than expected).
Fields of papers citing papers by Chi W. Pak
This network shows the impact of papers produced by Chi W. 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 Chi W. Pak. The network helps show where Chi W. Pak may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi W. 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 | Sequence Determinants of Intracellular Phase Separation by Complex Coacervation of a Disordered Protein Hit paper breakdown → | 2016 | 614 |
| 2 | 2011 | 254 | |
| 3 | 2014 | 220 | |
| 4 | 2008 | 147 | |
| 5 | 2010 | 144 | |
| 6 | 2009 | 110 | |
| 7 | 1985 | 79 | |
| 8 | 2012 | 66 | |
| 9 | 2013 | 44 | |
| 10 | 2008 | 27 | |
| 11 | 2013 | 18 | |
| 12 | 2008 | 7 | |
| 13 | 2007 | 1 |
About Chi W. Pak
Chi W. Pak is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Biophysics, Molecular Biology and Physiology, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (9 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Alzheimer's disease research and treatments (2 papers), Cellular transport and secretion (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), RNA modifications and cancer (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cell Biology (552 citations), Developmental Neuroscience (86 citations), Cellular and Molecular Neuroscience (403 citations), Biophysics (122 citations) and Molecular Biology (1.0k citations). Chi W. Pak has collaborated with scholars based in United States and Germany. Frequent co-authors include James R. Bamburg, Michael K. Rosen, Ruei‐Jiun Hung, Jonathan R. Terman, Kevin C. Flynn, Shae B. Padrick, Ali A. Yunus, Rohit V. Pappu, David R. Liu and Rustam Ali. Their work appears in journals such as Cell, Developmental Neurobiology, Nature reviews. Neuroscience, Current Alzheimer Research and Molecular Cell.
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.