David F. Stojdl
- Molecular Biology top 2%
- Genetics top 0.2%
- Oncology top 1%
- Cell Biology top 0.5%
- Epidemiology top 1%
- Co-authors
- John C. BellBrian D. LichtyRicardo MariusHarold AtkinsYuhong ZhangJeffrey M. LeidenHeather P. HardingRichard S. Paules
- Topics
- Virus-based gene therapy research (44 papers)CAR-T cell therapy research (17 papers)Viral Infectious Diseases and Gene Expression in Insects (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- CanadaUnited StatesSaudi Arabia
In The Last Decade
David F. Stojdl
59 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 3.7k
- Genetics 3.4k
- Oncology 2.2k
- Cell Biology 1.7k
- Epidemiology 1.6k
Countries citing papers authored by David F. Stojdl
This map shows the geographic impact of David F. Stojdl'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 F. Stojdl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David F. Stojdl more than expected).
Fields of papers citing papers by David F. Stojdl
This network shows the impact of papers produced by David F. Stojdl. 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 F. Stojdl. The network helps show where David F. Stojdl may publish in the future.
Co-authorship network of co-authors of David F. Stojdl
This figure shows the co-authorship network connecting the top 25 collaborators of David F. Stojdl. A scholar is included among the top collaborators of David F. Stojdl 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 F. Stojdl. David F. Stojdl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 51 | |
| 2 | 11 | |
| 3 | 233 | |
| 4 | 3 | |
| 5 | 28 | |
| 6 | 59 | |
| 7 | 32 | |
| 8 | 4 | |
| 9 | 108 | |
| 10 | Going viral with cancer immunotherapybreakdown → | 481 |
| 11 | 35 | |
| 12 | 23 | |
| 13 | 128 | |
| 14 | 4 | |
| 15 | 24 | |
| 16 | 4 | |
| 17 | 259 | |
| 18 | 89 | |
| 19 | VSV strains with defects in their ability to shutdown innate immunity are potent systemic anti-cancer agentsbreakdown → | 674 |
| 20 | Exploiting tumor-specific defects in the interferon pathway with a previously unknown oncolytic virusbreakdown → | 663 |
About David F. Stojdl
David F. Stojdl is a scholar working on Genetics, Immunology and Animal Science and Zoology, having authored 59 papers that have together received 7.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (44 papers), CAR-T cell therapy research (17 papers) and Viral Infectious Diseases and Gene Expression in Insects (10 papers). The work is most often cited by research in Genetics (3.4k citations), Cell Biology (1.7k citations) and Animal Science and Zoology (842 citations). David F. Stojdl has collaborated with scholars based in Canada, United States and Saudi Arabia. Frequent co-authors include John C. Bell, Brian D. Lichty, Ricardo Marius, Harold Atkins, Yuhong Zhang, Jeffrey M. Leiden, Heather P. Harding, Richard S. Paules, David Ron and Marcella A. Calfon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.