Brian Granger
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
- Tuberculosis Research and Epidemiology
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- Immunotherapy and Immune Responses
Papers in
-
- Tuberculosis Research and Epidemiology 3
- Viral Infections and Outbreaks Research 2
- Viral gastroenteritis research and epidemiology 2
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- RNA Interference and Gene Delivery 2
- Co-authors
- Rhea N. Coler (7 shared papers)Neal Van Hoeven (6 shared papers)Steven G. Reed (5 shared papers)Jacob Archer (3 shared papers)Jesse H. Erasmus (3 shared papers)Amit P. Khandhar (2 shared papers)Emily Gage (3 shared papers)Christopher B. Fox (4 shared papers)
- Journals
- Molecular Therapy (2 papers)Experimental Neurology (1 paper)Clinical and Vaccine Immunology (1 paper)Biochemical and Biophysical Research Communications (1 paper)npj Vaccines (1 paper)
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Brian Granger
14 papers receiving 475 citations
Peers
Comparison fields: 5 of 56
- Infectious Diseases 183
- Immunology 120
- Molecular Biology 278
- Cancer Research 36
- Pharmaceutical Science 15
Countries citing papers authored by Brian Granger
This map shows the geographic impact of Brian Granger'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 Granger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Granger more than expected).
Fields of papers citing papers by Brian Granger
This network shows the impact of papers produced by Brian Granger. 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 Granger. The network helps show where Brian Granger may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Granger, 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 | 2018 | 128 | |
| 2 | 2010 | 94 | |
| 3 | 2020 | 90 | |
| 4 | 2003 | 52 | |
| 5 | 2018 | 23 | |
| 6 | 2018 | 21 | |
| 7 | 2018 | 21 | |
| 8 | 2021 | 17 | |
| 9 | 2014 | 17 | |
| 10 | 2022 | 11 | |
| 11 | 2019 | 11 | |
| 12 | 2005 | 9 | |
| 13 | 2025 | 5 | |
| 14 | Reproducing Machine Learning Research on Binder | 2018 | 3 |
About Brian Granger
Brian Granger is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Immunology and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 502 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Mosquito-borne diseases and control (3 papers), Alzheimer's disease research and treatments (2 papers), Viral Infections and Outbreaks Research (2 papers), RNA Interference and Gene Delivery (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (183 citations), Immunology (120 citations), Molecular Biology (278 citations), Cancer Research (36 citations) and Pharmaceutical Science (15 citations). Brian Granger has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Rhea N. Coler, Neal Van Hoeven, Steven G. Reed, Jacob Archer, Jesse H. Erasmus, Amit P. Khandhar, Emily Gage, Christopher B. Fox, Dan T. Stinchcomb and Emily A. Voigt. Their work appears in journals such as Molecular Therapy, Experimental Neurology, Clinical and Vaccine Immunology, Biochemical and Biophysical Research Communications and npj Vaccines.
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.