Scott D. Brown
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- vaccines and immunoinformatics approaches 2
- Ubiquitin and proteasome pathways 1
- Oncology 7
- Cancer Immunotherapy and Biomarkers 4
- CAR-T cell therapy research 2
- Co-authors
- Robert A. Holt (13 shared papers)Brad H. Nelson (4 shared papers)Ewan A. Gibb (2 shared papers)Robin M. Warren (2 shared papers)John J. Spinelli (1 shared paper)Spencer D. Martin (1 shared paper)David R. Kroeger (1 shared paper)Julie S. Nielsen (1 shared paper)
- Journals
- OncoImmunology (2 papers)Genome Medicine (2 papers)Genome Research (1 paper)International Journal of Molecular Sciences (1 paper)Molecular Therapy — Methods & Clinical Development (1 paper)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Scott D. Brown
15 papers receiving 822 citations
Peers
Comparison fields: 5 of 61
- Immunology 396
- Oncology 467
- Cancer Research 126
- Molecular Biology 263
- Pulmonary and Respiratory Medicine 87
Countries citing papers authored by Scott D. Brown
This map shows the geographic impact of Scott D. Brown'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 Scott D. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott D. Brown more than expected).
Fields of papers citing papers by Scott D. Brown
This network shows the impact of papers produced by Scott D. Brown. 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 Scott D. Brown. The network helps show where Scott D. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott D. Brown, 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 | 2014 | 452 | |
| 2 | 2016 | 115 | |
| 3 | 2015 | 68 | |
| 4 | 2015 | 50 | |
| 5 | 2012 | 36 | |
| 6 | 2021 | 23 | |
| 7 | 2017 | 18 | |
| 8 | 2023 | 15 | |
| 9 | 2019 | 15 | |
| 10 | 1996 | 12 | |
| 11 | 2016 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2018 | 9 | |
| 14 | 2023 | 3 | |
| 15 | 2021 | 1 |
About Scott D. Brown
Scott D. Brown is a scholar working on Molecular Biology, Oncology, Immunology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 836 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Immunotherapy and Immune Responses (3 papers), CAR-T cell therapy research (2 papers), vaccines and immunoinformatics approaches (2 papers), Ubiquitin and proteasome pathways (1 paper), Cancer Genomics and Diagnostics (1 paper), Streptococcal Infections and Treatments (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Immunology (396 citations), Oncology (467 citations), Cancer Research (126 citations), Molecular Biology (263 citations) and Pulmonary and Respiratory Medicine (87 citations). Scott D. Brown has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Robert A. Holt, Brad H. Nelson, Ewan A. Gibb, Robin M. Warren, John J. Spinelli, Spencer D. Martin, David R. Kroeger, Julie S. Nielsen, Kwame Twumasi‐Boateng and Darin A. Wick. Their work appears in journals such as OncoImmunology, Genome Medicine, Genome Research, International Journal of Molecular Sciences and Molecular Therapy — Methods & Clinical Development.
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.