Stephan Becker
- Infectious Diseases top 0.05%
- Viral Infections and Outbreaks Research 129
- Viral Infections and Vectors 84
- Viral gastroenteritis research and epidemiology 50
- SARS-CoV-2 and COVID-19 Research 34
- Emergency Medical Services top 0.2%
- Disaster Response and Management 15
- Modeling and Simulation top 0.5%
- Computational Theory and Mathematics top 0.2%
- Epidemiology top 0.5%
- Hepatitis B Virus Studies 37
- Virology and Viral Diseases 12
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- Animal Virus Infections Studies 14
- Co-authors
- Larissa KolesnikovaHans‐Dieter KlenkChristian DrostenElke MühlbergerLucie SauerheringKatharina RoxLinlin ZhangRolf Hilgenfeld
- Journals
- Journal of Virology (35 papers)The Journal of Infectious Diseases (14 papers)Virology (10 papers)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Stephan Becker
171 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Infectious Diseases 8.7k
- Emergency Medical Services 782
- Modeling and Simulation 449
- Computational Theory and Mathematics 1.5k
- Epidemiology 2.9k
Countries citing papers authored by Stephan Becker
This map shows the geographic impact of Stephan Becker'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 Stephan Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Becker more than expected).
Fields of papers citing papers by Stephan Becker
This network shows the impact of papers produced by Stephan Becker. 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 Stephan Becker. The network helps show where Stephan Becker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephan Becker, 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 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 7 | |
| 10 | 2021 | 12 | |
| 11 | 2020 | 23 | |
| 12 | Crystal structure of SARS-CoV-2 main protease provides a basis for design of improved α-ketoamide inhibitorsbreakdown → | 2020 | 2334 |
| 13 | 2020 | 12 | |
| 14 | 2017 | 50 | |
| 15 | 2013 | 82 | |
| 16 | 2003 | 396 | |
| 17 | 2001 | 46 | |
| 18 | 1998 | 188 | |
| 19 | 1995 | 137 | |
| 20 | 1990 | 12 |
About Stephan Becker
Stephan Becker is a scholar working on Infectious Diseases, Emergency Medical Services, Epidemiology, Modeling and Simulation and Animal Science and Zoology, having authored 174 papers that have together received 12.0k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (129 papers), Viral Infections and Vectors (84 papers), Viral gastroenteritis research and epidemiology (50 papers), Hepatitis B Virus Studies (37 papers), SARS-CoV-2 and COVID-19 Research (34 papers), Disaster Response and Management (15 papers), Animal Virus Infections Studies (14 papers) and Virology and Viral Diseases (12 papers). The work is most often cited by research in Infectious Diseases (8.7k citations), Emergency Medical Services (782 citations), Modeling and Simulation (449 citations), Computational Theory and Mathematics (1.5k citations) and Epidemiology (2.9k citations). Stephan Becker has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Larissa Kolesnikova, Hans‐Dieter Klenk, Christian Drosten, Elke Mühlberger, Lucie Sauerhering, Katharina Rox, Linlin Zhang, Rolf Hilgenfeld, Xinyuanyuan Sun and Daizong Lin. Their work appears in journals such as Journal of Virology, The Journal of Infectious Diseases, Virology, Journal of General Virology and Journal of Magnetism and Magnetic Materials.
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.