Kenneth Adea
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- SARS-CoV-2 detection and testing 4
- COVID-19 Clinical Research Studies 3
-
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Olha Puhach (4 shared papers)Laurent Kaiser (6 shared papers)Isabella Eckerle (6 shared papers)Benjamin Meyer (3 shared papers)Frédérique Jacquérioz (2 shared papers)Pauline Vetter (2 shared papers)Nicolas Hulo (2 shared papers)Anne Iten (1 shared paper)
- Journals
- Nature Medicine (1 paper)Virus Research (1 paper)Protein Engineering Design and Selection (1 paper)Microbiology Spectrum (1 paper)EBioMedicine (1 paper)
- Partner nations
- SwitzerlandUnited StatesDemocratic Republic of the Congo
In The Last Decade
Kenneth Adea
6 papers receiving 320 citations
Kenneth Adea's Hit Papers
Peers
Comparison fields: 5 of 47
- Infectious Diseases 241
- Modeling and Simulation 42
- Health 24
- Microbiology 12
- Animal Science and Zoology 17
Countries citing papers authored by Kenneth Adea
This map shows the geographic impact of Kenneth Adea'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 Kenneth Adea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Adea more than expected).
Fields of papers citing papers by Kenneth Adea
This network shows the impact of papers produced by Kenneth Adea. 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 Kenneth Adea. The network helps show where Kenneth Adea may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth Adea, 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 | Infectious viral load in unvaccinated and vaccinated individuals infected with ancestral, Delta or Omicron SARS-CoV-2 Hit paper breakdown → | 2022 | 206 |
| 2 | 2022 | 48 | |
| 3 | 2022 | 46 | |
| 4 | 2023 | 19 | |
| 5 | 2017 | 5 | |
| 6 | 2023 | 2 | |
| 7 | 2025 | 0 | |
| 8 | 2026 | 0 |
About Kenneth Adea
Kenneth Adea is a scholar working on Infectious Diseases, Molecular Biology, Virology, Obstetrics and Gynecology and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 326 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), SARS-CoV-2 detection and testing (4 papers), COVID-19 Clinical Research Studies (3 papers), COVID-19 Impact on Reproduction (1 paper), Poxvirus research and outbreaks (1 paper), Biosensors and Analytical Detection (1 paper), Reproductive System and Pregnancy (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Infectious Diseases (241 citations), Modeling and Simulation (42 citations), Health (24 citations), Microbiology (12 citations) and Animal Science and Zoology (17 citations). Kenneth Adea has collaborated with scholars based in Switzerland, United States and Democratic Republic of the Congo. Frequent co-authors include Olha Puhach, Laurent Kaiser, Isabella Eckerle, Benjamin Meyer, Frédérique Jacquérioz, Pauline Vetter, Nicolas Hulo, Anne Iten, Camille Genecand and Meriem Bekliz. Their work appears in journals such as Nature Medicine, Virus Research, Protein Engineering Design and Selection, Microbiology Spectrum and EBioMedicine.
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.