Talitha Veith
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- Viral gastroenteritis research and epidemiology 2
- SARS-CoV-2 detection and testing 2
- Co-authors
- Christian Drosten (7 shared papers)Tobias Bleicker (5 shared papers)Ulríke Mayer (1 shared paper)Simon R. Carding (1 shared paper)Thomas E. Wileman (1 shared paper)Rupert C. L. Beale (1 shared paper)Noor Gammoh (1 shared paper)Élise Jacquin (1 shared paper)
- Journals
- The Lancet Microbe (1 paper)PLoS Biology (1 paper)Nature Medicine (1 paper)Virology Journal (1 paper)Science (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Talitha Veith
10 papers receiving 987 citations
Talitha Veith's Hit Papers
Peers
Comparison fields: 5 of 102
- Modeling and Simulation 225
- Infectious Diseases 472
- Epidemiology 269
- General Dentistry 12
- Physiology 33
Countries citing papers authored by Talitha Veith
This map shows the geographic impact of Talitha Veith'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 Talitha Veith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Talitha Veith more than expected).
Fields of papers citing papers by Talitha Veith
This network shows the impact of papers produced by Talitha Veith. 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 Talitha Veith. The network helps show where Talitha Veith may publish in the future.
Co-authors
The 25 scholars most cited alongside Talitha Veith, 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 | Estimating infectiousness throughout SARS-CoV-2 infection course Hit paper breakdown → | 2021 | 350 |
| 2 | 2020 | 324 | |
| 3 | 2018 | 223 | |
| 4 | 2021 | 59 | |
| 5 | 2022 | 18 | |
| 6 | 2021 | 16 | |
| 7 | 2021 | 9 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 1 | |
| 11 | 2026 | 0 |
About Talitha Veith
Talitha Veith is a scholar working on Infectious Diseases, Epidemiology, Immunology, Virology and Modeling and Simulation, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Viral gastroenteritis research and epidemiology (2 papers), SARS-CoV-2 detection and testing (2 papers), Rabies epidemiology and control (1 paper), Poxvirus research and outbreaks (1 paper), COVID-19 epidemiological studies (1 paper), Lipid Membrane Structure and Behavior (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Modeling and Simulation (225 citations), Infectious Diseases (472 citations), Epidemiology (269 citations), General Dentistry (12 citations) and Physiology (33 citations). Talitha Veith has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Christian Drosten, Tobias Bleicker, Ulríke Mayer, Simon R. Carding, Thomas E. Wileman, Rupert C. L. Beale, Noor Gammoh, Élise Jacquin, Oliver Florey and Rachel Ulferts. Their work appears in journals such as The Lancet Microbe, PLoS Biology, Nature Medicine, Virology Journal and Science.
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.