Talitha Veith
Impact in
- Modeling and Simulation top 5%
- 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 4
- SARS-CoV-2 detection and testing 1
-
- Virology and Viral Diseases 1
- Hepatitis B Virus Studies 1
- Co-authors
- Christian Drosten (7 shared papers)Noor Gammoh (1 shared paper)Ulríke Mayer (1 shared paper)Simon R. Carding (1 shared paper)Thomas Wileman (1 shared paper)Rupert Beale (1 shared paper)Rachel Ulferts (1 shared paper)Élise Jacquin (1 shared paper)
- Journals
- Transboundary and Emerging Diseases (1 paper)The Lancet Microbe (1 paper)Virology Journal (1 paper)Emerging infectious diseases (1 paper)Science (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Talitha Veith
8 papers receiving 568 citations
Talitha Veith's Hit Papers
Peers
Comparison fields: 5 of 79
- Modeling and Simulation 80
- Infectious Diseases 251
- Epidemiology 211
- Physiology 29
- Virology 22
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 | 286 |
| 2 | 2018 | 207 | |
| 3 | 2021 | 54 | |
| 4 | 2021 | 13 | |
| 5 | 2021 | 8 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 |
About Talitha Veith
Talitha Veith is a scholar working on Infectious Diseases, Epidemiology, Immunology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 578 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Poxvirus research and outbreaks (1 paper), SARS-CoV-2 detection and testing (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper), Virology and Viral Diseases (1 paper), COVID-19 epidemiological studies (1 paper), Hepatitis B Virus Studies (1 paper) and Rabies epidemiology and control (1 paper). The work is most often cited by research in Modeling and Simulation (80 citations), Infectious Diseases (251 citations), Epidemiology (211 citations), Physiology (29 citations) and Virology (22 citations). Talitha Veith has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Christian Drosten, Noor Gammoh, Ulríke Mayer, Simon R. Carding, Thomas Wileman, Rupert Beale, Rachel Ulferts, Élise Jacquin, Oliver Florey and Victor M. Corman. Their work appears in journals such as Transboundary and Emerging Diseases, The Lancet Microbe, Virology Journal, Emerging infectious diseases 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.