Patrick D. Hsu
Impact in
- Molecular Biology top 0.02%
- CRISPR and Genetic Engineering
- Pluripotent Stem Cells Research
- Genomics and Chromatin Dynamics
- RNA Interference and Gene Delivery
- Microbial Metabolic Engineering and Bioproduction
- Epigenetics and DNA Methylation
- Genetics top 0.5%
- Virus-based gene therapy research
- Animal Genetics and Reproduction
Papers in
-
- CRISPR and Genetic Engineering 33
- Gene Regulatory Network Analysis 5
- Machine Learning in Bioinformatics 4
- Protein Structure and Dynamics 3
- Single-cell and spatial transcriptomics 2
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- SARS-CoV-2 detection and testing 3
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Feng Zhang (15 shared papers)F. Ann Ran (7 shared papers)David A. Scott (8 shared papers)Vineeta Agarwala (2 shared papers)Eric S. Lander (1 shared paper)Xuebing Wu (5 shared papers)Jason B. Wright (1 shared paper)Luciano A. Marraffini (2 shared papers)
- Journals
- Cell (10 papers)Nature (8 papers)Nature Biotechnology (6 papers)Science (5 papers)Cell Systems (4 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Patrick D. Hsu
51 papers receiving 41.7k citations
Patrick D. Hsu's Hit Papers
Peers
Comparison fields: 5 of 176
- Molecular Biology 31.1k
- Genetics 3.1k
- Cell Biology 1.4k
- Cancer Research 1.2k
- Developmental Neuroscience 200
Countries citing papers authored by Patrick D. Hsu
This map shows the geographic impact of Patrick D. Hsu'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 Patrick D. Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick D. Hsu more than expected).
Fields of papers citing papers by Patrick D. Hsu
This network shows the impact of papers produced by Patrick D. Hsu. 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 Patrick D. Hsu. The network helps show where Patrick D. Hsu may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick D. Hsu, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multiplex Genome Engineering Using CRISPR/Cas Systems Hit paper breakdown → | 2013 | 12484 |
| 2 | Genome engineering using the CRISPR-Cas9 system Hit paper breakdown → | 2013 | 8883 |
| 3 | Development and Applications of CRISPR-Cas9 for Genome Engineering Hit paper breakdown → | 2014 | 4611 |
| 4 | DNA targeting specificity of RNA-guided Cas9 nucleases Hit paper breakdown → | 2013 | 3823 |
| 5 | Double Nicking by RNA-Guided CRISPR Cas9 for Enhanced Genome Editing Specificity Hit paper breakdown → | 2013 | 2804 |
| 6 | Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex Hit paper breakdown → | 2014 | 2265 |
| 7 | Crystal Structure of Cas9 in Complex with Guide RNA and Target DNA Hit paper breakdown → | 2014 | 1917 |
| 8 | Transcriptome Engineering with RNA-Targeting Type VI-D CRISPR Effectors Hit paper breakdown → | 2018 | 934 |
| 9 | Genome-wide binding of the CRISPR endonuclease Cas9 in mammalian cells Hit paper breakdown → | 2014 | 782 |
| 10 | Optical control of mammalian endogenous transcription and epigenetic states Hit paper breakdown → | 2013 | 683 |
| 11 | 2020 | 377 | |
| 12 | Simulating 500 million years of evolution with a language model Hit paper breakdown → | 2025 | 376 |
| 13 | 2016 | 299 | |
| 14 | Sequence modeling and design from molecular to genome scale with Evo Hit paper breakdown → | 2024 | 277 |
| 15 | 2016 | 259 | |
| 16 | 2021 | 219 | |
| 17 | 2018 | 214 | |
| 18 | How to build the virtual cell with artificial intelligence: Priorities and opportunities Hit paper breakdown → | 2024 | 171 |
| 19 | 2015 | 160 | |
| 20 | 2022 | 147 |
About Patrick D. Hsu
Patrick D. Hsu is a scholar working on Molecular Biology, Infectious Diseases, Cellular and Molecular Neuroscience, Health Informatics and Oncology, having authored 52 papers that have together received 42.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (33 papers), Gene Regulatory Network Analysis (5 papers), Machine Learning in Bioinformatics (4 papers), Photoreceptor and optogenetics research (3 papers), SARS-CoV-2 detection and testing (3 papers), Protein Structure and Dynamics (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Molecular Biology (31.1k citations), Genetics (3.1k citations), Cell Biology (1.4k citations), Cancer Research (1.2k citations) and Developmental Neuroscience (200 citations). Patrick D. Hsu has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Feng Zhang, F. Ann Ran, David A. Scott, Vineeta Agarwala, Eric S. Lander, Xuebing Wu, Jason B. Wright, Luciano A. Marraffini, Naomi Habib and Silvana Konermann. Their work appears in journals such as Cell, Nature, Nature Biotechnology, Science and Cell Systems.
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.