Dane Granger
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Viral Infections and Vectors
- Antifungal resistance and susceptibility
- Parasitology top 10%
Papers in
-
- Viral Infections and Vectors 8
- SARS-CoV-2 and COVID-19 Research 7
- SARS-CoV-2 detection and testing 5
- Antifungal resistance and susceptibility 3
-
- Virology and Viral Diseases 4
- Co-authors
- Elitza S. Theel (18 shared papers)Heather Hilgart (4 shared papers)Julie Harring (3 shared papers)Anthony Tran (1 shared paper)Dakai Liu (1 shared paper)Anna K. Strain (1 shared paper)Aditya Shah (1 shared paper)Coleman Turgeon (2 shared papers)
- Journals
- Journal of Clinical Microbiology (11 papers)Open Forum Infectious Diseases (3 papers)Diagnostic Microbiology and Infectious Disease (2 papers)Microbiology Spectrum (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)
- Partner nations
- United StatesSingaporeEgypt
In The Last Decade
Dane Granger
19 papers receiving 358 citations
Peers
Comparison fields: 5 of 58
- Infectious Diseases 319
- Parasitology 38
- Modeling and Simulation 15
- Public Health, Environmental and Occupational Health 92
- Microbiology 2
Countries citing papers authored by Dane Granger
This map shows the geographic impact of Dane 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 Dane Granger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dane Granger more than expected).
Fields of papers citing papers by Dane Granger
This network shows the impact of papers produced by Dane 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 Dane Granger. The network helps show where Dane Granger may publish in the future.
Co-authors
The 25 scholars most cited alongside Dane 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 | 2020 | 119 | |
| 2 | 2017 | 61 | |
| 3 | 2017 | 36 | |
| 4 | 2021 | 22 | |
| 5 | 2022 | 19 | |
| 6 | 2017 | 18 | |
| 7 | 2021 | 18 | |
| 8 | 2017 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2018 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2018 | 4 | |
| 18 | 2024 | 2 | |
| 19 | 2015 | 1 | |
| 20 | 2015 | 0 |
About Dane Granger
Dane Granger is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Parasitology and Ecology, Evolution, Behavior and Systematics, having authored 20 papers that have together received 361 indexed citations. Recurring topics across this work include Viral Infections and Vectors (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), SARS-CoV-2 detection and testing (5 papers), Vector-borne infectious diseases (5 papers), Mosquito-borne diseases and control (5 papers), Virology and Viral Diseases (4 papers), Vector-Borne Animal Diseases (3 papers) and Antifungal resistance and susceptibility (3 papers). The work is most often cited by research in Infectious Diseases (319 citations), Parasitology (38 citations), Modeling and Simulation (15 citations), Public Health, Environmental and Occupational Health (92 citations) and Microbiology (2 citations). Dane Granger has collaborated with scholars based in United States, Singapore and Egypt. Frequent co-authors include Elitza S. Theel, Heather Hilgart, Julie Harring, Anthony Tran, Dakai Liu, Anna K. Strain, Aditya Shah, Coleman Turgeon, John C. O’Horo and Dietrich Matern. Their work appears in journals such as Journal of Clinical Microbiology, Open Forum Infectious Diseases, Diagnostic Microbiology and Infectious Disease, Microbiology Spectrum and Antimicrobial Agents and Chemotherapy.
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.