David G. Ousterout
- Molecular Biology top 2%
- Genetics top 2%
- Business and International Management top 0.5%
- Aging top 1%
- Plant Science top 10%
- Co-authors
- Charles A. GersbachAmi M. KabadiPratiksha I. ThakorePablo Pérez‐PiñeraTimothy E. ReddyFarshid GuilakKatherine A. GlassGregory E. Crawford
- Topics
- CRISPR and Genetic Engineering (15 papers)Virus-based gene therapy research (5 papers)Muscle Physiology and Disorders (5 papers)
- Partner nations
- United StatesCanadaSaudi Arabia
In The Last Decade
David G. Ousterout
17 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 3.2k
- Genetics 924
- Business and International Management 283
- Aging 240
- Plant Science 217
Countries citing papers authored by David G. Ousterout
This map shows the geographic impact of David G. Ousterout'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 David G. Ousterout with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David G. Ousterout more than expected).
Fields of papers citing papers by David G. Ousterout
This network shows the impact of papers produced by David G. Ousterout. 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 David G. Ousterout. The network helps show where David G. Ousterout may publish in the future.
Co-authorship network of co-authors of David G. Ousterout
This figure shows the co-authorship network connecting the top 25 collaborators of David G. Ousterout. A scholar is included among the top collaborators of David G. Ousterout based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David G. Ousterout. David G. Ousterout is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 170 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | In vivo genome editing improves muscle function in a mouse model of Duchenne muscular dystrophybreakdown → | 848 |
| 6 | 338 | |
| 7 | 31 | |
| 8 | 264 | |
| 9 | 85 | |
| 10 | 34 | |
| 11 | 195 | |
| 12 | 139 | |
| 13 | RNA-guided gene activation by CRISPR-Cas9–based transcription factorsbreakdown → | 1005 |
| 14 | 68 | |
| 15 | 118 | |
| 16 | 66 | |
| 17 | 29 |
About David G. Ousterout
David G. Ousterout is a scholar working on Aging, Business and International Management and Molecular Biology, having authored 17 papers that have together received 3.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (15 papers), Virus-based gene therapy research (5 papers) and Muscle Physiology and Disorders (5 papers). The work is most often cited by research in Business and International Management (283 citations), Aging (240 citations) and Molecular Biology (3.2k citations). David G. Ousterout has collaborated with scholars based in United States, Canada and Saudi Arabia. Frequent co-authors include Charles A. Gersbach, Ami M. Kabadi, Pratiksha I. Thakore, Pablo Pérez‐Piñera, Timothy E. Reddy, Farshid Guilak, Katherine A. Glass, Gregory E. Crawford, Christopher M. Vockley and Andrew F. Adler. Their work appears in journals such as Science, Nucleic Acids Research and Nature Communications.
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.