Thomas Scheier
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS drug development and treatment
Papers in
-
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 4
- SARS-CoV-2 detection and testing 3
- Antimicrobial Resistance in Staphylococcus 3
- Co-authors
- Silvio D. Brugger (18 shared papers)Peter W. Schreiber (12 shared papers)Philipp K. Buehler (7 shared papers)Huldrych F. Günthard (8 shared papers)Daniel A. Hofmaenner (5 shared papers)Reto A. Schuepbach (5 shared papers)Dominique L. Braun (5 shared papers)Jürg Böni (3 shared papers)
- Journals
- Journal of Hospital Infection (4 papers)Burns (2 papers)iScience (2 papers)Antimicrobial Resistance and Infection Control (2 papers)Emerging infectious diseases (2 papers)
- Partner nations
- SwitzerlandCanadaUnited Kingdom
In The Last Decade
Thomas Scheier
31 papers receiving 269 citations
Peers
Comparison fields: 5 of 66
- Infectious Diseases 116
- General Dentistry 7
- Virology 13
- Applied Microbiology and Biotechnology 5
- Modeling and Simulation 11
Countries citing papers authored by Thomas Scheier
This map shows the geographic impact of Thomas Scheier'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 Thomas Scheier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Scheier more than expected).
Fields of papers citing papers by Thomas Scheier
This network shows the impact of papers produced by Thomas Scheier. 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 Thomas Scheier. The network helps show where Thomas Scheier may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Scheier, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 41 | |
| 2 | 2021 | 36 | |
| 3 | 2021 | 24 | |
| 4 | 2022 | 19 | |
| 5 | 2021 | 18 | |
| 6 | 2022 | 14 | |
| 7 | 2020 | 12 | |
| 8 | 2021 | 11 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2024 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2021 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2025 | 3 |
About Thomas Scheier
Thomas Scheier is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Neurology and Modeling and Simulation, having authored 34 papers that have together received 273 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 epidemiological studies (3 papers), Biosensors and Analytical Detection (3 papers), SARS-CoV-2 detection and testing (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Long-Term Effects of COVID-19 (3 papers) and Infection Control and Ventilation (2 papers). The work is most often cited by research in Infectious Diseases (116 citations), General Dentistry (7 citations), Virology (13 citations), Applied Microbiology and Biotechnology (5 citations) and Modeling and Simulation (11 citations). Thomas Scheier has collaborated with scholars based in Switzerland, Canada and United Kingdom. Frequent co-authors include Silvio D. Brugger, Peter W. Schreiber, Philipp K. Buehler, Huldrych F. Günthard, Daniel A. Hofmaenner, Reto A. Schuepbach, Dominique L. Braun, Jürg Böni, Idoia Busnadiego and Pascal M. Frey. Their work appears in journals such as Journal of Hospital Infection, Burns, iScience, Antimicrobial Resistance and Infection Control 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.