Daniela Weiskopf
- Infectious Diseases top 0.05%
- SARS-CoV-2 and COVID-19 Research 35
- Viral Infections and Vectors 34
- COVID-19 Clinical Research Studies 27
- Immunology top 0.5%
- T-cell and B-cell Immunology 20
- Immunotherapy and Immune Responses 17
- Modeling and Simulation top 0.5%
- Neurology top 1%
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- Mosquito-borne diseases and control 47
- Malaria Research and Control 23
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- vaccines and immunoinformatics approaches 26
- Co-authors
- Alessandro SetteBjoern PetersAlba GrifoniBeatrix Grubeck‐LoebensteinBirgit WeinbergerShane CrottyJohn SidneyJason Greenbaum
- Journals
- Frontiers in Immunology (14 papers)Journal of Virology (10 papers)The Journal of Immunology (9 papers)
- Partner nations
- United StatesAustraliaSri Lanka
In The Last Decade
Daniela Weiskopf
110 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Infectious Diseases 6.3k
- Immunology 3.0k
- Modeling and Simulation 529
- Neurology 1.2k
- Public Health, Environmental and Occupational Health 1.9k
Countries citing papers authored by Daniela Weiskopf
This map shows the geographic impact of Daniela Weiskopf'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 Weiskopf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Weiskopf more than expected).
Fields of papers citing papers by Daniela Weiskopf
This network shows the impact of papers produced by Daniela Weiskopf. 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 Weiskopf. The network helps show where Daniela Weiskopf may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Weiskopf, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 30 | |
| 4 | 2023 | 10 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 189 | |
| 9 | 2021 | 29 | |
| 10 | 2020 | 18 | |
| 11 | Phenotype and kinetics of SARS-CoV-2–specific T cells in COVID-19 patients with acute respiratory distress syndromebreakdown → | 2020 | 587 |
| 12 | 2018 | 11 | |
| 13 | 2017 | 4 | |
| 14 | 2017 | 54 | |
| 15 | 2016 | 39 | |
| 16 | 2015 | 55 | |
| 17 | 2014 | 73 | |
| 18 | Comprehensive analysis of dengue virus-specific responses supports an HLA-linked protective role for CD8 + T cellsbreakdown → | 2013 | 454 |
| 19 | 2013 | 49 | |
| 20 | 2009 | 32 |
About Daniela Weiskopf
Daniela Weiskopf is a scholar working on Infectious Diseases, Virology, Immunology, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 115 papers that have together received 10.0k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (47 papers), SARS-CoV-2 and COVID-19 Research (35 papers), Viral Infections and Vectors (34 papers), COVID-19 Clinical Research Studies (27 papers), vaccines and immunoinformatics approaches (26 papers), Malaria Research and Control (23 papers), T-cell and B-cell Immunology (20 papers) and Immunotherapy and Immune Responses (17 papers). The work is most often cited by research in Infectious Diseases (6.3k citations), Immunology (3.0k citations), Modeling and Simulation (529 citations), Neurology (1.2k citations) and Public Health, Environmental and Occupational Health (1.9k citations). Daniela Weiskopf has collaborated with scholars based in United States, Australia and Sri Lanka. Frequent co-authors include Alessandro Sette, Bjoern Peters, Alba Grifoni, Beatrix Grubeck‐Loebenstein, Birgit Weinberger, Shane Crotty, John Sidney, Jason Greenbaum, Aruna Dharshan De Silva and Jennifer M. Dan. Their work appears in journals such as Frontiers in Immunology, Journal of Virology, The Journal of Immunology, Viruses and Cell.
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.