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
-
- Monoclonal and Polyclonal Antibodies Research 6
-
- Glycosylation and Glycoproteins Research 3
- Melanoma and MAPK Pathways 1
- Co-authors
- Ravindra K. Gupta (1 shared paper)Kaiming Tao (1 shared paper)Robert W. Shafer (1 shared paper)Túlio de Oliveira (1 shared paper)Sergei L. Kosakovsky Pond (1 shared paper)Janin Nouhin (1 shared paper)Philip L. Tzou (1 shared paper)Emma Parker Miller (2 shared papers)
- Journals
- Viruses (2 papers)Nature Communications (1 paper)Frontiers in Immunology (1 paper)Cell (1 paper)Nature Reviews Genetics (1 paper)
- Partner nations
- United StatesSouth AfricaPoland
In The Last Decade
Daniela Fera
9 papers receiving 875 citations
Daniela Fera's Hit Papers
Peers
Comparison fields: 5 of 80
- Infectious Diseases 584
- Virology 118
- Modeling and Simulation 43
- Radiology, Nuclear Medicine and Imaging 132
- Immunology 127
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 | 640 |
| 2 | 2017 | 96 | |
| 3 | 2014 | 48 | |
| 4 | 2021 | 45 | |
| 5 | 2018 | 16 | |
| 6 | 2020 | 15 | |
| 7 | 2021 | 10 | |
| 8 | 2020 | 10 | |
| 9 | 2020 | 4 |
About Daniela Fera
Daniela Fera is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Virology, Infectious Diseases and Immunology, having authored 9 papers that have together received 884 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), SARS-CoV-2 detection and testing (1 paper), Immunotherapy and Immune Responses (1 paper), Melanoma and MAPK Pathways (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Infectious Diseases (584 citations), Virology (118 citations), Modeling and Simulation (43 citations), Radiology, Nuclear Medicine and Imaging (132 citations) and Immunology (127 citations). Daniela Fera has collaborated with scholars based in United States, South Africa and Poland. Frequent co-authors include Ravindra K. Gupta, Kaiming Tao, Robert W. Shafer, Túlio de Oliveira, Sergei L. Kosakovsky Pond, Janin Nouhin, Philip L. Tzou, Emma Parker Miller, Aaron G. Schmidt and Stephen C. Harrison. Their work appears in journals such as Viruses, Nature Communications, Frontiers in Immunology, Cell and Nature Reviews Genetics.
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.