Silke Buda
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
Papers in
- Epidemiology 57
- Influenza Virus Research Studies 39
- Respiratory viral infections research 31
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- SARS-CoV-2 and COVID-19 Research 9
- Viral gastroenteritis research and epidemiology 6
- COVID-19 Clinical Research Studies 6
- Co-authors
- Walter Haas (40 shared papers)Udo Buchholz (23 shared papers)Kristin Tolksdorf (15 shared papers)Ekkehard Schuler (8 shared papers)Wei Cai (7 shared papers)Thorsten Wolff (7 shared papers)Brunhilde Schweiger (13 shared papers)Doris Altmann (6 shared papers)
In The Last Decade
Silke Buda
91 papers receiving 3.0k citations
Silke Buda's Hit Papers
Peers
Comparison fields: 5 of 153
- Modeling and Simulation 365
- Infectious Diseases 870
- Epidemiology 1.4k
- Health 110
- Agronomy and Crop Science 136
Countries citing papers authored by Silke Buda
This map shows the geographic impact of Silke Buda'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 Silke Buda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silke Buda more than expected).
Fields of papers citing papers by Silke Buda
This network shows the impact of papers produced by Silke Buda. 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 Silke Buda. The network helps show where Silke Buda may publish in the future.
Co-authors
The 25 scholars most cited alongside Silke Buda, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Risk Factors for Severe Outcomes following 2009 Influenza A (H1N1) Infection: A Global Pooled Analysis Hit paper breakdown → | 2011 | 562 |
| 2 | 2020 | 443 | |
| 3 | 2013 | 132 | |
| 4 | 2021 | 118 | |
| 5 | 2011 | 106 | |
| 6 | 2020 | 96 | |
| 7 | 2019 | 88 | |
| 8 | 2021 | 79 | |
| 9 | 2010 | 70 | |
| 10 | 2011 | 66 | |
| 11 | 2022 | 64 | |
| 12 | 2021 | 52 | |
| 13 | 2020 | 49 | |
| 14 | 2017 | 48 | |
| 15 | 2020 | 48 | |
| 16 | 2015 | 47 | |
| 17 | 2002 | 47 | |
| 18 | 2015 | 41 | |
| 19 | 2019 | 40 | |
| 20 | 2024 | 38 |
About Silke Buda
Silke Buda is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Health and Agronomy and Crop Science, having authored 95 papers that have together received 3.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (39 papers), Respiratory viral infections research (31 papers), Vaccine Coverage and Hesitancy (10 papers), COVID-19 epidemiological studies (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Health and Medical Studies (7 papers), Viral gastroenteritis research and epidemiology (6 papers) and COVID-19 Clinical Research Studies (6 papers). The work is most often cited by research in Modeling and Simulation (365 citations), Infectious Diseases (870 citations), Epidemiology (1.4k citations), Health (110 citations) and Agronomy and Crop Science (136 citations). Silke Buda has collaborated with scholars based in Germany, Sweden and Portugal. Frequent co-authors include Walter Haas, Udo Buchholz, Kristin Tolksdorf, Ekkehard Schuler, Wei Cai, Thorsten Wolff, Brunhilde Schweiger, Doris Altmann, Gérard Krause and Michaela Diercke. Their work appears in journals such as Eurosurveillance, Influenza and Other Respiratory Viruses, PLoS ONE, Emerging infectious diseases and BMC 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.