J. Fraser Wright
- Molecular Biology top 1%
- Genetics top 0.2%
- Oncology top 0.5%
- Immunology top 2%
- Biomedical Engineering top 5%
- Co-authors
- Bernd HauckBruce L. LevineMichael C. MiloneMichael KalosDavid M. BarrettStephan A. GruppDavid T. TeacheyAnne Chew
- Topics
- Virus-based gene therapy research (58 papers)Viral Infectious Diseases and Gene Expression in Insects (35 papers)CAR-T cell therapy research (24 papers)
- Cited by
- GeneticsOncologyImmunology
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNature Communications
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
J. Fraser Wright
87 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 4.4k
- Genetics 3.8k
- Oncology 3.3k
- Immunology 1.4k
- Biomedical Engineering 759
Countries citing papers authored by J. Fraser Wright
This map shows the geographic impact of J. Fraser 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 J. Fraser Wright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Fraser Wright more than expected).
Fields of papers citing papers by J. Fraser Wright
This network shows the impact of papers produced by J. Fraser 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 J. Fraser Wright. The network helps show where J. Fraser Wright may publish in the future.
Co-authorship network of co-authors of J. Fraser Wright
This figure shows the co-authorship network connecting the top 25 collaborators of J. Fraser Wright. A scholar is included among the top collaborators of J. Fraser Wright 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 J. Fraser Wright. J. Fraser Wright is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 78 | |
| 4 | Viral vector manufacturing: quality attributes of rAAV used in clinical development | 2 |
| 5 | 105 | |
| 6 | 178 | |
| 7 | 23 | |
| 8 | 16 | |
| 9 | 27 | |
| 10 | 4 | |
| 11 | Chimeric Antigen Receptor–Modified T Cells for Acute Lymphoid Leukemiabreakdown → | 2631 |
| 12 | 190 | |
| 13 | 52 | |
| 14 | 104 | |
| 15 | 217 | |
| 16 | 149 | |
| 17 | 118 | |
| 18 | 72 | |
| 19 | 11 | |
| 20 | 2 |
About J. Fraser Wright
J. Fraser Wright is a scholar working on Genetics, Molecular Biology and Oncology, having authored 89 papers that have together received 7.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (58 papers), Viral Infectious Diseases and Gene Expression in Insects (35 papers) and CAR-T cell therapy research (24 papers). The work is most often cited by research in Genetics (3.8k citations), Oncology (3.3k citations) and Immunology (1.4k citations). J. Fraser Wright has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Bernd Hauck, Bruce L. Levine, Michael C. Milone, Michael Kalos, David M. Barrett, Stephan A. Grupp, David T. Teachey, Anne Chew, David L. Porter and Richard Aplenc. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences 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.