Daniel Germann
Impact in
- Epidemiology top 10%
- Virology and Viral Diseases
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
- Pneumocystis jirovecii pneumonia detection and treatment
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in
- Epidemiology 12
- Virology and Viral Diseases 8
- Respiratory viral infections research 6
- Pneumonia and Respiratory Infections 2
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- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- L Matter (8 shared papers)Daniel Trachsel (1 shared paper)Thomas Hofmann (3 shared papers)Timo D. Stark (3 shared papers)K Schopfer (3 shared papers)Frank Bally (3 shared papers)Kurt Eggenberger (1 shared paper)Meri Gorgievski-Hrisoho (1 shared paper)
- Journals
- Journal of Agricultural and Food Chemistry (3 papers)European Journal of Epidemiology (2 papers)Journal of Microbiological Methods (1 paper)Journal of Clinical Microbiology (1 paper)Medicine (1 paper)
- Partner nations
- SwitzerlandGermanyAustria
In The Last Decade
Daniel Germann
14 papers receiving 456 citations
Peers
Comparison fields: 5 of 67
- Epidemiology 359
- Health 76
- Infectious Diseases 141
- Microbiology 39
- Horticulture 4
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 | 106 | |
| 2 | 1999 | 87 | |
| 3 | 1998 | 57 | |
| 4 | 1997 | 56 | |
| 5 | 1996 | 54 | |
| 6 | 1996 | 39 | |
| 7 | 1997 | 29 | |
| 8 | 2019 | 20 | |
| 9 | 2013 | 19 | |
| 10 | 2019 | 16 | |
| 11 | 1995 | 16 | |
| 12 | 1998 | 12 | |
| 13 | 1995 | 2 | |
| 14 | Age-stratified seroprevalence of measles, mumps and rubella (MMR) virus infections in Switzerland after the introduction of MMR | 1997 | 1 |
| 15 | 2000 | 0 | |
| 16 | 1995 | 0 |
About Daniel Germann
Daniel Germann is a scholar working on Epidemiology, Infectious Diseases, Health, Biochemistry and Food Science, having authored 16 papers that have together received 514 indexed citations. Recurring topics across this work include Virology and Viral Diseases (8 papers), Respiratory viral infections research (6 papers), Vaccine Coverage and Hesitancy (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Phytochemicals and Antioxidant Activities (2 papers), COVID-19 epidemiological studies (2 papers), Pneumonia and Respiratory Infections (2 papers) and Food Chemistry and Fat Analysis (2 papers). The work is most often cited by research in Epidemiology (359 citations), Health (76 citations), Infectious Diseases (141 citations), Microbiology (39 citations) and Horticulture (4 citations). Daniel Germann has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include L Matter, Daniel Trachsel, Thomas Hofmann, Timo D. Stark, K Schopfer, Frank Bally, Kurt Eggenberger, Meri Gorgievski-Hrisoho, Pierre–Yves Bochud and Jacques Billé. Their work appears in journals such as Journal of Agricultural and Food Chemistry, European Journal of Epidemiology, Journal of Microbiological Methods, Journal of Clinical Microbiology and Medicine.
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.