Michael Aragones
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- SARS-CoV-2 detection and testing 3
- COVID-19 Clinical Research Studies 2
- Viral gastroenteritis research and epidemiology 1
-
- Animal Virus Infections Studies 2
- Co-authors
- Katia Bruxvoort (5 shared papers)Bradley K. Ackerson (4 shared papers)Ana Florea (3 shared papers)Soon Kyu Choi (3 shared papers)Yi Luo (2 shared papers)Gina S. Lee (2 shared papers)Carla Talarico (3 shared papers)Jennifer H Ku (2 shared papers)
- Journals
- Nature Communications (1 paper)Nature Medicine (1 paper)Archives of Pathology & Laboratory Medicine (1 paper)Clinical Infectious Diseases (1 paper)MMWR Morbidity and Mortality Weekly Report (1 paper)
- Partner nations
- United States
In The Last Decade
Michael Aragones
6 papers receiving 385 citations
Michael Aragones's Hit Papers
Peers
Comparison fields: 5 of 48
- Infectious Diseases 339
- Health 67
- Modeling and Simulation 40
- Animal Science and Zoology 39
- Obstetrics and Gynecology 10
Countries citing papers authored by Michael Aragones
This map shows the geographic impact of Michael Aragones'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 Michael Aragones with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Aragones more than expected).
Fields of papers citing papers by Michael Aragones
This network shows the impact of papers produced by Michael Aragones. 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 Michael Aragones. The network helps show where Michael Aragones may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Aragones, 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 | Effectiveness of mRNA-1273 against SARS-CoV-2 Omicron and Delta variants Hit paper breakdown → | 2022 | 324 |
| 2 | 2023 | 51 | |
| 3 | 2021 | 10 | |
| 4 | 2021 | 3 | |
| 5 | 2025 | 2 | |
| 6 | 2023 | 1 |
About Michael Aragones
Michael Aragones is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Organic Chemistry and Surgery, having authored 6 papers that have together received 391 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (3 papers), COVID-19 Clinical Research Studies (2 papers), Animal Virus Infections Studies (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Infectious Diseases (339 citations), Health (67 citations), Modeling and Simulation (40 citations), Animal Science and Zoology (39 citations) and Obstetrics and Gynecology (10 citations). Michael Aragones has collaborated with scholars based in United States. Frequent co-authors include Katia Bruxvoort, Bradley K. Ackerson, Ana Florea, Soon Kyu Choi, Yi Luo, Gina S. Lee, Carla Talarico, Jennifer H Ku, Lei Qian and Hung Fu Tseng. Their work appears in journals such as Nature Communications, Nature Medicine, Archives of Pathology & Laboratory Medicine, Clinical Infectious Diseases and MMWR Morbidity and Mortality Weekly Report.
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.