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
- Advanced biosensing and bioanalysis techniques 1
- Signaling Pathways in Disease 1
- Oncology 9
- Cancer Immunotherapy and Biomarkers 4
- CAR-T cell therapy research 3
- Viral-associated cancers and disorders 2
- Co-authors
- Robert A. Holt (13 shared papers)Brad H. Nelson (4 shared papers)Spencer D. Martin (2 shared papers)Ewan A. Gibb (2 shared papers)Robin M. Warren (2 shared papers)John J. Spinelli (1 shared paper)Darin A. Wick (1 shared paper)David R. Kroeger (1 shared paper)
- Journals
- OncoImmunology (2 papers)Genome Medicine (2 papers)Clinical Infectious Diseases (1 paper)Cancer Research (1 paper)mBio (1 paper)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Scott D. Brown
15 papers receiving 808 citations
Scott D. Brown's Hit Papers
Peers
Comparison fields: 5 of 67
- Immunology 447
- Oncology 524
- Cancer Research 152
- Molecular Biology 280
- Pulmonary and Respiratory Medicine 102
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 | Neo-antigens predicted by tumor genome meta-analysis correlate with increased patient survival Hit paper breakdown → | 2014 | 447 |
| 2 | 2016 | 112 | |
| 3 | 2015 | 68 | |
| 4 | 2015 | 49 | |
| 5 | 2012 | 36 | |
| 6 | 2021 | 22 | |
| 7 | 2017 | 16 | |
| 8 | 2019 | 15 | |
| 9 | 2023 | 14 | |
| 10 | 1996 | 12 | |
| 11 | 2016 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2018 | 9 | |
| 14 | 2023 | 2 | |
| 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 822 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers), Viral-associated cancers and disorders (2 papers), Immune Cell Function and Interaction (2 papers), vaccines and immunoinformatics approaches (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Immunology (447 citations), Oncology (524 citations), Cancer Research (152 citations), Molecular Biology (280 citations) and Pulmonary and Respiratory Medicine (102 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, Spencer D. Martin, Ewan A. Gibb, Robin M. Warren, John J. Spinelli, Darin A. Wick, David R. Kroeger, Kwame Twumasi‐Boateng and Julie S. Nielsen. Their work appears in journals such as OncoImmunology, Genome Medicine, Clinical Infectious Diseases, Cancer Research and mBio.
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.