Brian J. Morrison
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Immunology top 10%
- Immunotherapy and Immune Responses
- Aquaculture disease management and microbiota
- Immune Cell Function and Interaction
Papers in
- Oncology 17
- Cancer Cells and Metastasis 11
- Co-authors
- John C. Morris (5 shared papers)Jason C. Steel (8 shared papers)J. Alejandro López (6 shared papers)Brent A. Reynolds (7 shared papers)Sunil R. Lakhani (4 shared papers)Christopher Schmidt (4 shared papers)Chanel E. Smart (3 shared papers)Karrie Young (1 shared paper)
- Journals
- PLoS ONE (6 papers)Xenobiotica (4 papers)Scientific Reports (1 paper)Tetrahedron (1 paper)Targeted Oncology (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Brian J. Morrison
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 114
- Oncology 489
- Immunology 354
- Cancer Research 188
- Animal Science and Zoology 88
- Infectious Diseases 101
Countries citing papers authored by Brian J. Morrison
This map shows the geographic impact of Brian J. Morrison'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 Brian J. Morrison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian J. Morrison more than expected).
Fields of papers citing papers by Brian J. Morrison
This network shows the impact of papers produced by Brian J. Morrison. 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 Brian J. Morrison. The network helps show where Brian J. Morrison may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian J. Morrison, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 161 | |
| 2 | 2011 | 103 | |
| 3 | 2008 | 98 | |
| 4 | 2018 | 95 | |
| 5 | 2004 | 77 | |
| 6 | 2011 | 69 | |
| 7 | 2013 | 55 | |
| 8 | 2012 | 50 | |
| 9 | 1995 | 49 | |
| 10 | 1979 | 37 | |
| 11 | 2011 | 34 | |
| 12 | 2014 | 31 | |
| 13 | 1979 | 26 | |
| 14 | 2013 | 24 | |
| 15 | 2007 | 23 | |
| 16 | 1989 | 23 | |
| 17 | 2012 | 22 | |
| 18 | 2002 | 22 | |
| 19 | 2019 | 20 | |
| 20 | 1987 | 19 |
About Brian J. Morrison
Brian J. Morrison is a scholar working on Oncology, Molecular Biology, Immunology, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (11 papers), Mosquito-borne diseases and control (5 papers), Viral Infections and Vectors (5 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (4 papers), Cancer Research and Treatments (3 papers), Virus-based gene therapy research (3 papers) and 3D Printing in Biomedical Research (3 papers). The work is most often cited by research in Oncology (489 citations), Immunology (354 citations), Cancer Research (188 citations), Animal Science and Zoology (88 citations) and Infectious Diseases (101 citations). Brian J. Morrison has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include John C. Morris, Jason C. Steel, J. Alejandro López, Brent A. Reynolds, Sunil R. Lakhani, Christopher Schmidt, Chanel E. Smart, Karrie Young, David M. Stone and Samantha Russell. Their work appears in journals such as PLoS ONE, Xenobiotica, Scientific Reports, Tetrahedron and Targeted Oncology.
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.