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
Papers in
-
- SARS-CoV-2 detection and testing 9
- SARS-CoV-2 and COVID-19 Research 6
-
- Respiratory viral infections research 2
- Influenza Virus Research Studies 2
- 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 396 citations
Peers
Comparison fields: 5 of 60
- Infectious Diseases 252
- General Dentistry 6
- Modeling and Simulation 16
- Biomedical Engineering 127
- 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 | 115 | |
| 2 | 2020 | 104 | |
| 3 | 2010 | 48 | |
| 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 | 2003 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2021 | 1 | |
| 16 | 2025 | 0 | |
| 17 | [The course of compulsive disease in childhood and adolescence]. | 1988 | 0 |
About Ute Eberle
Ute Eberle is a scholar working on Infectious Diseases, Epidemiology, Biomedical Engineering, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 407 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (9 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Biosensors and Analytical Detection (4 papers), Respiratory viral infections research (2 papers), Influenza Virus Research Studies (2 papers), Adolescent and Pediatric Healthcare (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper) and Hepatitis Viruses Studies and Epidemiology (1 paper). The work is most often cited by research in Infectious Diseases (252 citations), General Dentistry (6 citations), Modeling and Simulation (16 citations), Biomedical Engineering (127 citations) and Endocrinology (11 citations). Ute Eberle has collaborated with scholars based in Germany, Ireland and Sweden. Frequent co-authors include Nikolaus Ackermann, Andreas Sing, Volker Fingerle, Bernhard Liebl, Alexandra Dangel, Regina Konrad, Katja Bengs, Anja Berger, Lena Mautner and Armin Baiker. Their work appears in journals such as Eurosurveillance, Epidemiology and Infection, Infection and Immunity, Virology Journal and Novartis Foundation symposium.
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.