Julia Tesch
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- 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
- Viral gastroenteritis research and epidemiology 2
- SARS-CoV-2 detection and testing 2
-
- COVID-19 epidemiological studies 2
- Co-authors
- Talitha Veith (2 shared papers)Tobias Bleicker (2 shared papers)Christian Drosten (4 shared papers)Victor M. Corman (4 shared papers)Jörn Beheim-Schwarzbach (2 shared papers)Julia Schneider (2 shared papers)Barbara Mühlemann (2 shared papers)Terry C. Jones (2 shared papers)
- Journals
- Frontiers in Veterinary Science (1 paper)Science (1 paper)Emerging infectious diseases (1 paper)Microorganisms (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Julia Tesch
3 papers receiving 288 citations
Julia Tesch's Hit Papers
Peers
Comparison fields: 5 of 53
- Modeling and Simulation 86
- Infectious Diseases 233
- General Dentistry 7
- Epidemiology 56
- Pulmonary and Respiratory Medicine 46
Countries citing papers authored by Julia Tesch
This map shows the geographic impact of Julia Tesch'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 Julia Tesch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Tesch more than expected).
Fields of papers citing papers by Julia Tesch
This network shows the impact of papers produced by Julia Tesch. 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 Julia Tesch. The network helps show where Julia Tesch may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Tesch, 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 | 283 |
| 2 | 2021 | 8 | |
| 3 | 2024 | 5 | |
| 4 | 2025 | 0 |
About Julia Tesch
Julia Tesch is a scholar working on Infectious Diseases, Modeling and Simulation, Animal Science and Zoology, Global and Planetary Change and Organic Chemistry, having authored 4 papers that have together received 296 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 epidemiological studies (2 papers), Viral gastroenteritis research and epidemiology (2 papers), SARS-CoV-2 detection and testing (2 papers), Animal Virus Infections Studies (1 paper) and COVID-19 impact on air quality (1 paper). The work is most often cited by research in Modeling and Simulation (86 citations), Infectious Diseases (233 citations), General Dentistry (7 citations), Epidemiology (56 citations) and Pulmonary and Respiratory Medicine (46 citations). Julia Tesch has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Talitha Veith, Tobias Bleicker, Christian Drosten, Victor M. Corman, Jörn Beheim-Schwarzbach, Julia Schneider, Barbara Mühlemann, Terry C. Jones, Peter Menzel and Marie Luisa Schmidt. Their work appears in journals such as Frontiers in Veterinary Science, Science, Emerging infectious diseases and Microorganisms.
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.