Patrick Amoth
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral Infections and Outbreaks Research
- Viral gastroenteritis research and epidemiology
Papers in
-
- SARS-CoV-2 and COVID-19 Research 19
- COVID-19 Clinical Research Studies 7
- SARS-CoV-2 detection and testing 6
- Viral Infections and Outbreaks Research 4
-
- COVID-19 epidemiological studies 13
- Co-authors
- Raphael Nyaruaba (2 shared papers)Hongping Wei (2 shared papers)Caroline Mwaliko (2 shared papers)Matilu Mwau (1 shared paper)David Dobnik (1 shared paper)Pavel Neužil (1 shared paper)Junping Yu (1 shared paper)Hang Yang (1 shared paper)
- Journals
- Wellcome Open Research (4 papers)PLoS ONE (4 papers)Science (3 papers)Emerging infectious diseases (2 papers)PLoS neglected tropical diseases (2 papers)
- Partner nations
- KenyaUnited KingdomUnited States
In The Last Decade
Patrick Amoth
34 papers receiving 836 citations
Peers
Comparison fields: 5 of 79
- Modeling and Simulation 209
- Infectious Diseases 502
- Health 64
- Obstetrics and Gynecology 33
- Microbiology 25
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
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 218 | |
| 2 | 2022 | 114 | |
| 3 | 2021 | 66 | |
| 4 | 2022 | 63 | |
| 5 | 2021 | 48 | |
| 6 | 2021 | 40 | |
| 7 | 2017 | 39 | |
| 8 | 2021 | 33 | |
| 9 | 2022 | 28 | |
| 10 | 2022 | 17 | |
| 11 | 2021 | 17 | |
| 12 | 2021 | 15 | |
| 13 | 2021 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2022 | 13 | |
| 16 | 2022 | 13 | |
| 17 | 2023 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2023 | 10 | |
| 20 | 2022 | 10 |
About Patrick Amoth
Patrick Amoth is a scholar working on Infectious Diseases, Modeling and Simulation, Health, Endocrinology and Pediatrics, Perinatology and Child Health, having authored 39 papers that have together received 870 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (19 papers), COVID-19 epidemiological studies (13 papers), COVID-19 Clinical Research Studies (7 papers), SARS-CoV-2 detection and testing (6 papers), Vaccine Coverage and Hesitancy (4 papers), Viral Infections and Outbreaks Research (4 papers), COVID-19 diagnosis using AI (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Modeling and Simulation (209 citations), Infectious Diseases (502 citations), Health (64 citations), Obstetrics and Gynecology (33 citations) and Microbiology (25 citations). Patrick Amoth has collaborated with scholars based in Kenya, United Kingdom and United States. Frequent co-authors include Raphael Nyaruaba, Hongping Wei, Caroline Mwaliko, Matilu Mwau, David Dobnik, Pavel Neužil, Junping Yu, Hang Yang, Nynke R. van den Broek and Pamela Miloya Godia. Their work appears in journals such as Wellcome Open Research, PLoS ONE, Science, Emerging infectious diseases and PLoS neglected tropical diseases.
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.