Daniel Germann
Impact in
- Health top 10%
- Vaccine Coverage and Hesitancy
- Epidemiology top 10%
- Virology and Viral Diseases
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
- Pneumocystis jirovecii pneumonia detection and treatment
Papers in ⓘ
- Health 4
- Vaccine Coverage and Hesitancy 4
-
- COVID-19 epidemiological studies 2
- Co-authors
- L Matter (8 shared papers)Daniel Trachsel (1 shared paper)Frank Bally (3 shared papers)Kurt Eggenberger (1 shared paper)K Schopfer (3 shared papers)Meri Gorgievski-Hrisoho (1 shared paper)P Francioli (2 shared papers)François Verdon (1 shared paper)
- Journals
- European Journal of Epidemiology (2 papers)Medicine (1 paper)Journal of Clinical Microbiology (1 paper)The Journal of Infectious Diseases (1 paper)Journal of Microbiological Methods (1 paper)
- Partner nations
- SwitzerlandAustriaPoland
In The Last Decade
Daniel Germann
11 papers receiving 391 citations
Peers
Comparison fields: 5 of 55
- Health 99
- Epidemiology 339
- Infectious Diseases 143
- Microbiology 41
- Modeling and Simulation 15
Countries citing papers authored by Daniel Germann
This map shows the geographic impact of Daniel Germann'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 Daniel Germann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Germann more than expected).
Fields of papers citing papers by Daniel Germann
This network shows the impact of papers produced by Daniel Germann. 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 Daniel Germann. The network helps show where Daniel Germann may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Germann, 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 | 2001 | 94 | |
| 2 | 1999 | 76 | |
| 3 | 1996 | 52 | |
| 4 | 1998 | 51 | |
| 5 | 1997 | 47 | |
| 6 | 1996 | 38 | |
| 7 | 1997 | 26 | |
| 8 | 1995 | 13 | |
| 9 | 1998 | 11 | |
| 10 | 1995 | 2 | |
| 11 | Age-stratified seroprevalence of measles, mumps and rubella (MMR) virus infections in Switzerland after the introduction of MMR | 1997 | 1 |
| 12 | 2000 | 0 | |
| 13 | 1995 | 0 |
About Daniel Germann
Daniel Germann is a scholar working on Health, Modeling and Simulation, Epidemiology, Infectious Diseases and Virology, having authored 13 papers that have together received 411 indexed citations. Recurring topics across this work include Virology and Viral Diseases (8 papers), Respiratory viral infections research (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Vaccine Coverage and Hesitancy (4 papers), Pneumonia and Respiratory Infections (2 papers), COVID-19 epidemiological studies (2 papers), Rabies epidemiology and control (1 paper) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Health (99 citations), Epidemiology (339 citations), Infectious Diseases (143 citations), Microbiology (41 citations) and Modeling and Simulation (15 citations). Daniel Germann has collaborated with scholars based in Switzerland, Austria and Poland. Frequent co-authors include L Matter, Daniel Trachsel, Frank Bally, Kurt Eggenberger, K Schopfer, Meri Gorgievski-Hrisoho, P Francioli, François Verdon, L. Saghafi and P Erard. Their work appears in journals such as European Journal of Epidemiology, Medicine, Journal of Clinical Microbiology, The Journal of Infectious Diseases and Journal of Microbiological Methods.
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.