Jason Wright
- Aging top 0.5%
- Molecular Biology top 0.5%
- CRISPR and Genetic Engineering 5
- Genomics and Chromatin Dynamics 3
- RNA Interference and Gene Delivery 2
- Advanced biosensing and bioanalysis techniques 2
- RNA Research and Splicing 2
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 2
- Cell Biology top 1%
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- Virus-based gene therapy research 2
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- Click Chemistry and Applications 1
- Co-authors
- Feng ZhangVineeta AgarwalaPatrick D. HsuDavid ScottF. Ann RanJ. W. CostertonJ. Curtis NickelMichael D. Cole
- Partner nations
- United StatesSwedenDenmark
In The Last Decade
Jason Wright
16 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Aging 305
- Molecular Biology 7.9k
- Business and International Management 213
- Cancer Research 936
- Cell Biology 992
Countries citing papers authored by Jason Wright
This map shows the geographic impact of Jason Wright'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 Jason Wright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Wright more than expected).
Fields of papers citing papers by Jason Wright
This network shows the impact of papers produced by Jason Wright. 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 Jason Wright. The network helps show where Jason Wright may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jason Wright, 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 | 2023 | 7 | |
| 2 | 2020 | 9 | |
| 3 | 2018 | 123 | |
| 4 | 2018 | 26 | |
| 5 | 2017 | 309 | |
| 6 | 2017 | 79 | |
| 7 | 2016 | 20 | |
| 8 | 2016 | 30 | |
| 9 | 2015 | 3 | |
| 10 | Genome engineering using the CRISPR-Cas9 systembreakdown → | 2013 | 7942 |
| 11 | 2012 | 252 | |
| 12 | 2011 | 16 | |
| 13 | 2010 | 192 | |
| 14 | 2010 | 90 | |
| 15 | 1994 | 10 | |
| 16 | Tobramycin resistance of Pseudomonas aeruginosa cells growing as a biofilm on urinary catheter materialbreakdown → | 1985 | 695 |
About Jason Wright
Jason Wright is a scholar working on Aging, Molecular Medicine and Cancer Research, having authored 16 papers that have together received 9.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Genomics and Chromatin Dynamics (3 papers), Virus-based gene therapy research (2 papers), RNA Interference and Gene Delivery (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cancer-related molecular mechanisms research (2 papers), RNA Research and Splicing (2 papers) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Aging (305 citations), Molecular Biology (7.9k citations) and Business and International Management (213 citations). Jason Wright has collaborated with scholars based in United States, Sweden and Denmark. Frequent co-authors include Feng Zhang, Vineeta Agarwala, Patrick D. Hsu, David Scott, F. Ann Ran, J. W. Costerton, J. Curtis Nickel, Michael D. Cole, Neville E. Sanjana and Richard Cowper‐Sal·lari. Their work appears in journals such as PLoS ONE, Nature Methods, Scientific Reports, Nature Genetics and The International Journal of Biochemistry & Cell Biology.
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.