Lars Schaade
Impact in
- Modeling and Simulation top 2%
- 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
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
Papers in
-
- SARS-CoV-2 and COVID-19 Research 19
- SARS-CoV-2 detection and testing 14
- Epidemiology 20
- Herpesvirus Infections and Treatments 7
- Co-authors
- Klaus Ritter (15 shared papers)Andreas Nitsche (29 shared papers)Martin Häusler (4 shared papers)Michael Kleines (9 shared papers)Joerg Doellinger (8 shared papers)Osamah Hamouda (5 shared papers)Marica Grossegesse (9 shared papers)Klaus Schweizer (2 shared papers)
- Journals
- Eurosurveillance (7 papers)Scientific Reports (3 papers)Journal of Proteome Research (3 papers)Medical Microbiology and Immunology (3 papers)Viruses (3 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Lars Schaade
82 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 106
- Modeling and Simulation 162
- Infectious Diseases 552
- Virology 82
- Epidemiology 399
- Endocrinology 47
Countries citing papers authored by Lars Schaade
This map shows the geographic impact of Lars Schaade'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 Lars Schaade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Schaade more than expected).
Fields of papers citing papers by Lars Schaade
This network shows the impact of papers produced by Lars Schaade. 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 Lars Schaade. The network helps show where Lars Schaade may publish in the future.
Co-authors
The 25 scholars most cited alongside Lars Schaade, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 127 | |
| 2 | 2013 | 113 | |
| 3 | 2000 | 98 | |
| 4 | 2003 | 96 | |
| 5 | 2002 | 82 | |
| 6 | 2021 | 36 | |
| 7 | 2012 | 35 | |
| 8 | 2012 | 33 | |
| 9 | 2002 | 32 | |
| 10 | 2013 | 31 | |
| 11 | 2022 | 29 | |
| 12 | 2015 | 28 | |
| 13 | 2020 | 27 | |
| 14 | 2021 | 25 | |
| 15 | 2021 | 23 | |
| 16 | 2015 | 23 | |
| 17 | 2021 | 22 | |
| 18 | 2010 | 21 | |
| 19 | 2022 | 21 | |
| 20 | 2021 | 20 |
About Lars Schaade
Lars Schaade is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Modeling and Simulation and Virology, having authored 87 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (19 papers), SARS-CoV-2 detection and testing (14 papers), COVID-19 epidemiological studies (12 papers), Poxvirus research and outbreaks (10 papers), Vaccine Coverage and Hesitancy (8 papers), Bacillus and Francisella bacterial research (8 papers), Immune responses and vaccinations (7 papers) and Herpesvirus Infections and Treatments (7 papers). The work is most often cited by research in Modeling and Simulation (162 citations), Infectious Diseases (552 citations), Virology (82 citations), Epidemiology (399 citations) and Endocrinology (47 citations). Lars Schaade has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Klaus Ritter, Andreas Nitsche, Martin Häusler, Michael Kleines, Joerg Doellinger, Osamah Hamouda, Marica Grossegesse, Klaus Schweizer, Ute Rexroth and Alexander Ullrich. Their work appears in journals such as Eurosurveillance, Scientific Reports, Journal of Proteome Research, Medical Microbiology and Immunology and Viruses.
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.