Daniela Fera
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Virology top 5%
- HIV Research and Treatment
Papers in ⓘ
- Virology 5
- HIV Research and Treatment 5
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- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Sergei L. Kosakovsky Pond (1 shared paper)Janin Nouhin (1 shared paper)Philip L. Tzou (1 shared paper)Túlio de Oliveira (1 shared paper)Kaiming Tao (1 shared paper)Ravindra K. Gupta (1 shared paper)Robert W. Shafer (1 shared paper)Emma Parker Miller (2 shared papers)
- Journals
- Viruses (2 papers)Nature Communications (1 paper)Nature Reviews Genetics (1 paper)Frontiers in Immunology (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesPolandSouth Africa
In The Last Decade
Daniela Fera
9 papers receiving 859 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Infectious Diseases 623
- Virology 124
- Modeling and Simulation 51
- Immunology 142
- Animal Science and Zoology 65
Countries citing papers authored by Daniela Fera
This map shows the geographic impact of Daniela Fera'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 Daniela Fera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Fera more than expected).
Fields of papers citing papers by Daniela Fera
This network shows the impact of papers produced by Daniela Fera. 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 Daniela Fera. The network helps show where Daniela Fera may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Fera, 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 | The biological and clinical significance of emerging SARS-CoV-2 variants Hit paper breakdown → | 2021 | 626 |
| 2 | 2017 | 95 | |
| 3 | 2014 | 48 | |
| 4 | 2021 | 45 | |
| 5 | 2018 | 16 | |
| 6 | 2020 | 15 | |
| 7 | 2020 | 10 | |
| 8 | 2021 | 9 | |
| 9 | 2020 | 4 |
About Daniela Fera
Daniela Fera is a scholar working on Virology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Immunology and Molecular Biology, having authored 9 papers that have together received 868 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), HIV Research and Treatment (5 papers), Glycosylation and Glycoproteins Research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Computational Drug Discovery Methods (1 paper), Melanoma and MAPK Pathways (1 paper), Immunotherapy and Immune Responses (1 paper) and Carbohydrate Chemistry and Synthesis (1 paper). The work is most often cited by research in Infectious Diseases (623 citations), Virology (124 citations), Modeling and Simulation (51 citations), Immunology (142 citations) and Animal Science and Zoology (65 citations). Daniela Fera has collaborated with scholars based in United States, Poland and South Africa. Frequent co-authors include Sergei L. Kosakovsky Pond, Janin Nouhin, Philip L. Tzou, Túlio de Oliveira, Kaiming Tao, Ravindra K. Gupta, Robert W. Shafer, Emma Parker Miller, Aaron G. Schmidt and Stephen C. Harrison. Their work appears in journals such as Viruses, Nature Communications, Nature Reviews Genetics, Frontiers in Immunology and Biochemistry.
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.