Patrick Amoth
Impact in
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- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
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- COVID-19 epidemiological studies
Papers in
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- SARS-CoV-2 and COVID-19 Research 3
- SARS-CoV-2 detection and testing 2
- Viral Infections and Outbreaks Research 2
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- Vibrio bacteria research studies 2
- Co-authors
- Caroline Mwaliko (2 shared papers)Hongping Wei (2 shared papers)Raphael Nyaruaba (2 shared papers)Hang Yang (1 shared paper)David Dobnik (1 shared paper)Junping Yu (1 shared paper)Pavel Neužil (1 shared paper)Matilu Mwau (1 shared paper)
- Journals
- PLoS neglected tropical diseases (2 papers)Clinical Microbiology Reviews (1 paper)Emerging infectious diseases (1 paper)Global Health Science and Practice (1 paper)BMJ Open (1 paper)
- Partner nations
- KenyaUnited StatesUnited Kingdom
In The Last Decade
Patrick Amoth
8 papers receiving 143 citations
Peers
Comparison fields: 5 of 54
- Infectious Diseases 48
- Modeling and Simulation 12
- Endocrinology 13
- Pediatrics, Perinatology and Child Health 37
- Biomedical Engineering 36
Countries citing papers authored by Patrick Amoth
This map shows the geographic impact of Patrick Amoth'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 Patrick Amoth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Amoth more than expected).
Fields of papers citing papers by Patrick Amoth
This network shows the impact of papers produced by Patrick Amoth. 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 Patrick Amoth. The network helps show where Patrick Amoth may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Amoth, 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 | 2022 | 57 | |
| 2 | 2017 | 38 | |
| 3 | 2023 | 13 | |
| 4 | 2021 | 10 | |
| 5 | 2022 | 9 | |
| 6 | 2021 | 9 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 5 |
About Patrick Amoth
Patrick Amoth is a scholar working on Infectious Diseases, Endocrinology, Modeling and Simulation, Biomedical Engineering and Health, having authored 8 papers that have together received 146 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), SARS-CoV-2 detection and testing (2 papers), COVID-19 epidemiological studies (2 papers), Vibrio bacteria research studies (2 papers), Viral Infections and Outbreaks Research (2 papers), Biosensors and Analytical Detection (2 papers), Vaccine Coverage and Hesitancy (1 paper) and Disaster Response and Management (1 paper). The work is most often cited by research in Infectious Diseases (48 citations), Modeling and Simulation (12 citations), Endocrinology (13 citations), Pediatrics, Perinatology and Child Health (37 citations) and Biomedical Engineering (36 citations). Patrick Amoth has collaborated with scholars based in Kenya, United States and United Kingdom. Frequent co-authors include Caroline Mwaliko, Hongping Wei, Raphael Nyaruaba, Hang Yang, David Dobnik, Junping Yu, Pavel Neužil, Matilu Mwau, Helen Smith and Pamela Godia. Their work appears in journals such as PLoS neglected tropical diseases, Clinical Microbiology Reviews, Emerging infectious diseases, Global Health Science and Practice and BMJ Open.
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.