Ryan A. Pak
Impact in
- Molecular Biology top 5%
- CRISPR and Genetic Engineering
- Single-cell and spatial transcriptomics
- Genomics and Chromatin Dynamics
- Gene Regulatory Network Analysis
- Pluripotent Stem Cells Research
- Bioinformatics and Genomic Networks
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
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- CRISPR and Genetic Engineering 2
- Ubiquitin and proteasome pathways 1
- Ion channel regulation and function 1
- Single-cell and spatial transcriptomics 1
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- Ion Channels and Receptors 1
- Co-authors
- Jonathan S. Weissman (4 shared papers)Luke A. Gilbert (3 shared papers)Britt Adamson (2 shared papers)Jacqueline E. Villalta (2 shared papers)Max A. Horlbeck (2 shared papers)Yuwen Chen (2 shared papers)Martin Kampmann (2 shared papers)Chong Y. Park (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)eLife (2 papers)Neuron (1 paper)Cell (1 paper)
- Partner nations
- United States
In The Last Decade
Ryan A. Pak
6 papers receiving 1.6k citations
Ryan A. Pak's Hit Papers
Peers
Comparison fields: 5 of 64
- Molecular Biology 1.1k
- Cell Biology 126
- Cancer Research 104
- Developmental Neuroscience 19
- Aging 8
Countries citing papers authored by Ryan A. Pak
This map shows the geographic impact of Ryan A. 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 Ryan A. Pak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan A. Pak more than expected).
Fields of papers citing papers by Ryan A. Pak
This network shows the impact of papers produced by Ryan A. 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 Ryan A. Pak. The network helps show where Ryan A. Pak may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan A. 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 | A Multiplexed Single-Cell CRISPR Screening Platform Enables Systematic Dissection of the Unfolded Protein Response Hit paper breakdown → | 2016 | 793 |
| 2 | Compact and highly active next-generation libraries for CRISPR-mediated gene repression and activation Hit paper breakdown → | 2016 | 609 |
| 3 | 2016 | 72 | |
| 4 | 2022 | 68 | |
| 5 | 2022 | 22 | |
| 6 | 2024 | 20 |
About Ryan A. Pak
Ryan A. Pak is a scholar working on Molecular Biology, Sensory Systems, Cell Biology, Neurology and Physiology, having authored 6 papers that have together received 1.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (2 papers), Ubiquitin and proteasome pathways (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Ion channel regulation and function (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper), Single-cell and spatial transcriptomics (1 paper), Ion Channels and Receptors (1 paper) and Erythrocyte Function and Pathophysiology (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Cell Biology (126 citations), Cancer Research (104 citations), Developmental Neuroscience (19 citations) and Aging (8 citations). Ryan A. Pak has collaborated with scholars based in United States. Frequent co-authors include Jonathan S. Weissman, Luke A. Gilbert, Britt Adamson, Jacqueline E. Villalta, Max A. Horlbeck, Yuwen Chen, Martin Kampmann, Chong Y. Park, Alexander T. Fields and Jacob E. Corn. Their work appears in journals such as Proceedings of the National Academy of Sciences, eLife, Neuron and 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.