Amina Abu‐Omar
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 4
- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 detection and testing 1
-
- Cytomegalovirus and herpesvirus research 2
- Co-authors
- Stefanie Marx (5 shared papers)Verena Klemis (5 shared papers)Rebecca Urschel (5 shared papers)Tina Schmidt (7 shared papers)Franziska Hielscher (5 shared papers)Candida Guckelmus (5 shared papers)Martina Sester (7 shared papers)Laura Ziegler (3 shared papers)
- Journals
- Nature Communications (2 papers)Nature Medicine (1 paper)Transplant Immunology (1 paper)npj Vaccines (1 paper)Journal of Clinical Virology (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Amina Abu‐Omar
6 papers receiving 272 citations
Amina Abu‐Omar's Hit Papers
Peers
Comparison fields: 5 of 43
- Infectious Diseases 232
- Health 54
- Animal Science and Zoology 40
- Modeling and Simulation 13
- Immunology 27
Countries citing papers authored by Amina Abu‐Omar
This map shows the geographic impact of Amina Abu‐Omar'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 Amina Abu‐Omar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amina Abu‐Omar more than expected).
Fields of papers citing papers by Amina Abu‐Omar
This network shows the impact of papers produced by Amina Abu‐Omar. 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 Amina Abu‐Omar. The network helps show where Amina Abu‐Omar may publish in the future.
Co-authors
The 20 scholars most cited alongside Amina Abu‐Omar, 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 | Immunogenicity and reactogenicity of heterologous ChAdOx1 nCoV-19/mRNA vaccination Hit paper breakdown → | 2021 | 218 |
| 2 | 2022 | 29 | |
| 3 | 2022 | 18 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 3 | |
| 6 | 2025 | 2 | |
| 7 | 2025 | 0 |
About Amina Abu‐Omar
Amina Abu‐Omar is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Animal Science and Zoology and Microbiology, having authored 7 papers that have together received 277 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers), Cytomegalovirus and herpesvirus research (2 papers), SARS-CoV-2 detection and testing (1 paper), Immunotherapy and Immune Responses (1 paper), vaccines and immunoinformatics approaches (1 paper), Bacterial Infections and Vaccines (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Infectious Diseases (232 citations), Health (54 citations), Animal Science and Zoology (40 citations), Modeling and Simulation (13 citations) and Immunology (27 citations). Amina Abu‐Omar has collaborated with scholars based in Germany and United States. Frequent co-authors include Stefanie Marx, Verena Klemis, Rebecca Urschel, Tina Schmidt, Franziska Hielscher, Candida Guckelmus, Martina Sester, Laura Ziegler, Urban Sester and Sören L. Becker. Their work appears in journals such as Nature Communications, Nature Medicine, Transplant Immunology, npj Vaccines and Journal of Clinical Virology.
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.