Ute Eberle
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 10%
Papers in
-
- SARS-CoV-2 detection and testing 10
- SARS-CoV-2 and COVID-19 Research 6
-
- Advanced biosensing and bioanalysis techniques 1
- RNA and protein synthesis mechanisms 1
- Co-authors
- Nikolaus Ackermann (12 shared papers)Andreas Sing (12 shared papers)Volker Fingerle (6 shared papers)Bernhard Liebl (7 shared papers)Alexandra Dangel (4 shared papers)Regina Konrad (3 shared papers)Katja Bengs (2 shared papers)Anja Berger (1 shared paper)
In The Last Decade
Ute Eberle
15 papers receiving 388 citations
Peers
Comparison fields: 5 of 64
- Infectious Diseases 280
- Modeling and Simulation 21
- General Dentistry 6
- Biomedical Engineering 132
- Endocrinology 11
Countries citing papers authored by Ute Eberle
This map shows the geographic impact of Ute Eberle'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 Ute Eberle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute Eberle more than expected).
Fields of papers citing papers by Ute Eberle
This network shows the impact of papers produced by Ute Eberle. 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 Ute Eberle. The network helps show where Ute Eberle may publish in the future.
Co-authors
The 25 scholars most cited alongside Ute Eberle, 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 | 2020 | 113 | |
| 2 | 2020 | 100 | |
| 3 | 2010 | 44 | |
| 4 | 2021 | 34 | |
| 5 | 2018 | 25 | |
| 6 | 2021 | 18 | |
| 7 | 2017 | 15 | |
| 8 | 2021 | 13 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 5 | |
| 12 | 2016 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2003 | 3 | |
| 15 | 2021 | 1 | |
| 16 | 2025 | 0 |
About Ute Eberle
Ute Eberle is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 396 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (10 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Biosensors and Analytical Detection (4 papers), Influenza Virus Research Studies (2 papers), Respiratory viral infections research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), COVID-19 diagnosis using AI (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Infectious Diseases (280 citations), Modeling and Simulation (21 citations), General Dentistry (6 citations), Biomedical Engineering (132 citations) and Endocrinology (11 citations). Ute Eberle has collaborated with scholars based in Germany, Sweden and Ireland. Frequent co-authors include Nikolaus Ackermann, Andreas Sing, Volker Fingerle, Bernhard Liebl, Alexandra Dangel, Regina Konrad, Katja Bengs, Anja Berger, Armin Baiker and Lena Mautner. Their work appears in journals such as Eurosurveillance, Epidemiology and Infection, Infection, Virology Journal and Infection and Immunity.
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.