2023 - Research.com Genetics in China Leader Award
2022 - Research.com Best Scientist Award
2022 - Research.com Genetics and Molecular Biology in China Leader Award
Genetics, CRISPR, Cas9, Computational biology and Gene are his primary areas of study. Genome editing, Genome, Guide RNA, RNA and Genome engineering are among the areas of Genetics where Feng Zhang concentrates his study. Within one scientific family, Feng Zhang focuses on topics pertaining to Gene targeting under Genome editing, and may sometimes address concerns connected to Point mutation.
His study in the field of CRISPR interference and Trans-activating crRNA is also linked to topics like Complex formation. In his research on the topic of Cas9, Gene knockout is strongly related with Gene Knockout Techniques. His study in Computational biology is interdisciplinary in nature, drawing from both Bioinformatics, DNA, Regulation of gene expression, Transcription and Effector.
Feng Zhang focuses on Genetics, CRISPR, Computational biology, Gene and Internal medicine. His study in Genome, Genome-wide association study, Single-nucleotide polymorphism, Copy-number variation and Locus falls under the purview of Genetics. His research in Genome-wide association study intersects with topics in Genetic association and Candidate gene.
Cas9, Genome editing, Guide RNA, Genome engineering and Trans-activating crRNA are the subjects of his CRISPR studies. His Computational biology research is multidisciplinary, incorporating elements of RNA, DNA and Effector. His studies in Internal medicine integrate themes in fields like Endocrinology and Cardiology.
The scientist’s investigation covers issues in Gene, Computational biology, Genetics, Internal medicine and CRISPR. His Gene study often links to related topics such as Autism spectrum disorder. His Computational biology study incorporates themes from Genome and Genome-wide association study.
The study incorporates disciplines such as Gastroenterology, Endocrinology and Cardiology in addition to Internal medicine. Feng Zhang is studying Genome editing, which is a component of CRISPR. His Genome editing study frequently links to other fields, such as Cas9.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Multiplex Genome Engineering Using CRISPR/Cas Systems
Le Cong;Le Cong;F. Ann Ran;F. Ann Ran;David M. Cox;David M. Cox;Shuailiang Lin;Shuailiang Lin.
Science (2013)
Genome engineering using the CRISPR-Cas9 system
F Ann Ran;Patrick D Hsu;Jason Wright;Vineeta Agarwala;Vineeta Agarwala.
Nature Protocols (2013)
Development and applications of CRISPR-Cas9 for genome engineering.
Patrick D. Hsu;Patrick D. Hsu;Patrick D. Hsu;Eric S. Lander;Feng Zhang;Feng Zhang.
Cell (2014)
Genome-Scale CRISPR-Cas9 Knockout Screening in Human Cells
Ophir Shalem;Ophir Shalem;Neville E Sanjana;Neville E Sanjana;Ella Hartenian;Xi-Shun Shi.
Science (2014)
Millisecond-timescale, genetically targeted optical control of neural activity.
Edward S Boyden;Feng Zhang;Ernst Bamberg;Georg Nagel.
Nature Neuroscience (2005)
DNA targeting specificity of RNA-guided Cas9 nucleases
Patrick D Hsu;David Arthur Scott;David Arthur Scott;Joshua A Weinstein;Joshua A Weinstein;F. Ann Ran;F. Ann Ran;F. Ann Ran.
Nature Biotechnology (2013)
One-step generation of mice carrying mutations in multiple genes by CRISPR/Cas-mediated genome engineering.
Haoyi Wang;Hui Yang;Chikdu S. Shivalila;Meelad M. Dawlaty.
Cell (2013)
Double nicking by RNA-guided CRISPR Cas9 for enhanced genome editing specificity
F. Ann Ran;Patrick D. Hsu;Chie Yu Lin;Jonathan S. Gootenberg.
Cell (2013)
Improved vectors and genome-wide libraries for CRISPR screening.
Neville E Sanjana;Ophir Shalem;Feng Zhang.
Nature Methods (2014)
Cpf1 is a single RNA-guided endonuclease of a class 2 CRISPR-Cas system.
Bernd Zetsche;Jonathan S. Gootenberg;Omar O. Abudayyeh;Ian M. Slaymaker.
Cell (2015)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
New York University
Fudan University
Stanford University
Baylor College of Medicine
Tulane University
University of Minnesota
Iowa State University
Iowa State University
King's College London
National Institutes of Health
Osaka Metropolitan University
Tsinghua University
Agency for Science, Technology and Research
Universitat Politècnica de València
Quaid-i-Azam University
Agricultural University of Hebei
Case Western Reserve University
University of Nottingham
University of Colorado Denver
ETH Zurich
University of California, Santa Barbara
Southern University of Science and Technology
Baylor College of Medicine
University of Michigan–Ann Arbor
University of Perugia
Harvard Medical School