Michaela Sciacca
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in
-
- SARS-CoV-2 and COVID-19 Research 8
- COVID-19 Clinical Research Studies 6
- SARS-CoV-2 detection and testing 3
- Viral gastroenteritis research and epidemiology 1
- Virology 1
- Poxvirus research and outbreaks 1
- Co-authors
- Daniel M. Sellers (1 shared paper)Catherine Jacob-Dolan (1 shared paper)Julia Barrett (1 shared paper)Michelle A. Lifton (1 shared paper)Haley VanWyk (1 shared paper)Cindy Wu (1 shared paper)Ai-ris Yonekura Collier (1 shared paper)Dan H. Barouch (1 shared paper)
- Journals
- Nature (2 papers)Cell (2 papers)New England Journal of Medicine (1 paper)Nature Communications (1 paper)Cell Reports Medicine (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
Michaela Sciacca
9 papers receiving 790 citations
Michaela Sciacca's Hit Papers
Peers
Comparison fields: 5 of 59
- Infectious Diseases 643
- Health 68
- Animal Science and Zoology 91
- Modeling and Simulation 41
- Immunology 159
Countries citing papers authored by Michaela Sciacca
This map shows the geographic impact of Michaela Sciacca'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 Michaela Sciacca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Sciacca more than expected).
Fields of papers citing papers by Michaela Sciacca
This network shows the impact of papers produced by Michaela Sciacca. 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 Michaela Sciacca. The network helps show where Michaela Sciacca may publish in the future.
Co-authors
The 12 scholars most cited alongside Michaela Sciacca, 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 | Vaccines elicit highly conserved cellular immunity to SARS-CoV-2 Omicron Hit paper breakdown → | 2022 | 350 |
| 2 | Immunogenicity of BA.5 Bivalent mRNA Vaccine Boosters Hit paper breakdown → | 2023 | 153 |
| 3 | 2022 | 104 | |
| 4 | 2023 | 75 | |
| 5 | 2022 | 67 | |
| 6 | 2023 | 27 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 9 | |
| 9 | 2022 | 6 |
About Michaela Sciacca
Michaela Sciacca is a scholar working on Infectious Diseases, Virology, Microbiology, Obstetrics and Gynecology and Animal Science and Zoology, having authored 9 papers that have together received 806 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 detection and testing (3 papers), Viral gastroenteritis research and epidemiology (1 paper), Animal Virus Infections Studies (1 paper), Poxvirus research and outbreaks (1 paper), Zoonotic diseases and public health (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Infectious Diseases (643 citations), Health (68 citations), Animal Science and Zoology (91 citations), Modeling and Simulation (41 citations) and Immunology (159 citations). Michaela Sciacca has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Daniel M. Sellers, Catherine Jacob-Dolan, Julia Barrett, Michelle A. Lifton, Haley VanWyk, Cindy Wu, Ai-ris Yonekura Collier, Dan H. Barouch, Katherine McMahan and Jingyou Yu. Their work appears in journals such as Nature, Cell, New England Journal of Medicine, Nature Communications and Cell Reports Medicine.
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.