Kyle Curtis
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
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- Biosensors and Analytical Detection
Papers in
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- Fecal contamination and water quality 5
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- Water Treatment and Disinfection 4
- Co-authors
- Raúl González (4 shared papers)David Keeling (3 shared papers)Hannah M. Thompson (2 shared papers)Dana González (2 shared papers)Mark H. Weir (1 shared paper)Aaron Bivins (1 shared paper)Jamie Mitchell (1 shared paper)Kyle Bibby (1 shared paper)
- Journals
- Archives of Environmental Contamination and Toxicology (1 paper)Water Air & Soil Pollution (1 paper)Environmental Science & Technology (1 paper)Water Research (1 paper)Journal of Microbiological Methods (1 paper)
- Partner nations
- United StatesGhana
In The Last Decade
Kyle Curtis
9 papers receiving 376 citations
Peers
Comparison fields: 5 of 55
- Infectious Diseases 323
- Biomedical Engineering 202
- Modeling and Simulation 20
- General Dentistry 5
- Water Science and Technology 27
Countries citing papers authored by Kyle Curtis
This map shows the geographic impact of Kyle Curtis'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 Kyle Curtis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Curtis more than expected).
Fields of papers citing papers by Kyle Curtis
This network shows the impact of papers produced by Kyle Curtis. 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 Kyle Curtis. The network helps show where Kyle Curtis may publish in the future.
Co-authors
The 19 scholars most cited alongside Kyle Curtis, 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 | 334 | |
| 2 | 2023 | 13 | |
| 3 | 2020 | 10 | |
| 4 | 2015 | 7 | |
| 5 | 2019 | 7 | |
| 6 | 2016 | 4 | |
| 7 | 2014 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 1 |
About Kyle Curtis
Kyle Curtis is a scholar working on Water Science and Technology, Health, Toxicology and Mutagenesis, Infectious Diseases, Industrial and Manufacturing Engineering and Environmental Engineering, having authored 9 papers that have together received 380 indexed citations. Recurring topics across this work include Fecal contamination and water quality (5 papers), Water Treatment and Disinfection (4 papers), Urban Stormwater Management Solutions (2 papers), SARS-CoV-2 detection and testing (2 papers), Wastewater Treatment and Reuse (2 papers), Renal Diseases and Glomerulopathies (1 paper), COVID-19 diagnosis using AI (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Infectious Diseases (323 citations), Biomedical Engineering (202 citations), Modeling and Simulation (20 citations), General Dentistry (5 citations) and Water Science and Technology (27 citations). Kyle Curtis has collaborated with scholars based in United States and Ghana. Frequent co-authors include Raúl González, David Keeling, Hannah M. Thompson, Dana González, Mark H. Weir, Aaron Bivins, Jamie Mitchell, Kyle Bibby, J. M. Trapp and Nancy Welch. Their work appears in journals such as Archives of Environmental Contamination and Toxicology, Water Air & Soil Pollution, Environmental Science & Technology, Water Research and Journal of Microbiological Methods.
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.