Michael Seilmaier
Impact in
- Infectious Diseases top 0.2%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
Papers in
-
- Vector-borne infectious diseases 7
-
- Viral Infections and Vectors 6
- SARS-CoV-2 and COVID-19 Research 3
- Antifungal resistance and susceptibility 2
- Co-authors
- Clemens‐Martin WendtnerWolfgang GuggemosRoman WölfelSabine ZangeMichael HöelscherChristian DrostenPatrick VollmarSebastian Brünink
- Journals
- Eurosurveillance (2 papers)Nature (2 papers)Infection (1 paper)International Journal of Molecular Sciences (1 paper)Emerging infectious diseases (1 paper)
- Partner nations
- GermanyEstoniaUnited Kingdom
In The Last Decade
Michael Seilmaier
21 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Infectious Diseases 3.4k
- Modeling and Simulation 644
- General Dentistry 160
- Neurology 530
- Virology 119
Countries citing papers authored by Michael Seilmaier
This map shows the geographic impact of Michael Seilmaier'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 Michael Seilmaier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Seilmaier more than expected).
Fields of papers citing papers by Michael Seilmaier
This network shows the impact of papers produced by Michael Seilmaier. 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 Michael Seilmaier. The network helps show where Michael Seilmaier may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Seilmaier, 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 | 2024 | 2 | |
| 2 | 2022 | 109 | |
| 3 | 2020 | 54 | |
| 4 | Virological assessment of hospitalized patients with COVID-2019 Hit paper breakdown → | 2020 | 4187 |
| 5 | 2020 | 19 | |
| 6 | 2018 | 2 | |
| 7 | 2016 | 10 | |
| 8 | 2016 | 4 | |
| 9 | 2016 | 3 | |
| 10 | 2015 | 50 | |
| 11 | 2015 | 22 | |
| 12 | 2015 | 7 | |
| 13 | 2014 | 18 | |
| 14 | 2014 | 20 | |
| 15 | 2013 | 5 | |
| 16 | 2011 | 2 | |
| 17 | 2010 | 3 | |
| 18 | 2009 | 2 | |
| 19 | 2008 | 2 | |
| 20 | 2004 | 7 |
About Michael Seilmaier
Michael Seilmaier is a scholar working on Parasitology, Infectious Diseases, Public Health, Environmental and Occupational Health, Modeling and Simulation and Virology, having authored 21 papers that have together received 4.5k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (7 papers), Viral Infections and Vectors (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Travel-related health issues (3 papers), Zoonotic diseases and public health (3 papers), Malaria Research and Control (3 papers), Antifungal resistance and susceptibility (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Infectious Diseases (3.4k citations), Modeling and Simulation (644 citations), General Dentistry (160 citations), Neurology (530 citations) and Virology (119 citations). Michael Seilmaier has collaborated with scholars based in Germany, Estonia and United Kingdom. Frequent co-authors include Clemens‐Martin Wendtner, Wolfgang Guggemos, Roman Wölfel, Sabine Zange, Michael Höelscher, Christian Drosten, Patrick Vollmar, Sebastian Brünink, Tobias Bleicker and Rosina Ehmann. Their work appears in journals such as Eurosurveillance, Nature, Infection, International Journal of Molecular Sciences and Emerging infectious diseases.
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.