Gabriel J. Starrett
- Molecular Biology top 10%
- Oncology top 5%
- Immunology top 5%
- Cancer Research top 5%
- Epidemiology top 10%
- Co-authors
- Reuben S. HarrisNicholas McGranahanCharles SwantonYou Jeong LeeKristin A. HogquistStephen C. JamesonNuri A. TemizChristopher B. Buck
- Topics
- Polyomavirus and related diseases (14 papers)Cancer Genomics and Diagnostics (9 papers)Plant Virus Research Studies (7 papers)
- Cited by
- VirologyImmunologyCancer Research
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNature Communications
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Gabriel J. Starrett
35 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 1.1k
- Oncology 756
- Immunology 667
- Cancer Research 426
- Epidemiology 422
Countries citing papers authored by Gabriel J. Starrett
This map shows the geographic impact of Gabriel J. Starrett'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 Gabriel J. Starrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel J. Starrett more than expected).
Fields of papers citing papers by Gabriel J. Starrett
This network shows the impact of papers produced by Gabriel J. Starrett. 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 Gabriel J. Starrett. The network helps show where Gabriel J. Starrett may publish in the future.
Co-authorship network of co-authors of Gabriel J. Starrett
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel J. Starrett. A scholar is included among the top collaborators of Gabriel J. Starrett 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 Gabriel J. Starrett. Gabriel J. Starrett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 20 | |
| 5 | 15 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 83 | |
| 10 | 32 | |
| 11 | 26 | |
| 12 | 93 | |
| 13 | 2 | |
| 14 | 74 | |
| 15 | 52 | |
| 16 | 160 | |
| 17 | 23 | |
| 18 | 121 | |
| 19 | 106 | |
| 20 | 64 |
About Gabriel J. Starrett
Gabriel J. Starrett is a scholar working on Virology, Oncology and Cancer Research, having authored 40 papers that have together received 2.5k indexed citations. Recurring topics across this work include Polyomavirus and related diseases (14 papers), Cancer Genomics and Diagnostics (9 papers) and Plant Virus Research Studies (7 papers). The work is most often cited by research in Virology (308 citations), Immunology (667 citations) and Cancer Research (426 citations). Gabriel J. Starrett has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Reuben S. Harris, Nicholas McGranahan, Charles Swanton, You Jeong Lee, Kristin A. Hogquist, Stephen C. Jameson, Nuri A. Temiz, Christopher B. Buck, Haiguang Wang and Brandon Leonard. 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.