Daniela Zöller
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research
Papers in
-
- COVID-19 Clinical Research Studies 6
- Genetics 4
- Neurogenetic and Muscular Disorders Research 4
- Co-authors
- Harald Binder (20 shared papers)Jakob Neubauer (1 shared paper)Alexander Rau (1 shared paper)Johanna Nattenmüller (1 shared paper)Hien Duy Tran (1 shared paper)Maximilian Frederik Russe (1 shared paper)Fabian Bamberg (1 shared paper)Marco Reisert (1 shared paper)
- Journals
- BMC Medical Research Methodology (3 papers)Journal of Medical Internet Research (3 papers)JAMA Network Open (2 papers)EClinicalMedicine (2 papers)Nature Medicine (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Daniela Zöller
53 papers receiving 925 citations
Peers
Comparison fields: 5 of 65
- Health Informatics 104
- Genetics 143
- Otorhinolaryngology 26
- Neurology 42
- Oncology 60
Countries citing papers authored by Daniela Zöller
This map shows the geographic impact of Daniela Zöller'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 Daniela Zöller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Zöller more than expected).
Fields of papers citing papers by Daniela Zöller
This network shows the impact of papers produced by Daniela Zöller. 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 Daniela Zöller. The network helps show where Daniela Zöller may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Zöller, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 117 | |
| 2 | 2021 | 83 | |
| 3 | 2022 | 62 | |
| 4 | 2022 | 54 | |
| 5 | 2018 | 46 | |
| 6 | 2024 | 41 | |
| 7 | 2018 | 38 | |
| 8 | 2022 | 32 | |
| 9 | 2019 | 29 | |
| 10 | 2022 | 27 | |
| 11 | 2022 | 24 | |
| 12 | 2022 | 24 | |
| 13 | 2023 | 24 | |
| 14 | 2022 | 23 | |
| 15 | 2021 | 21 | |
| 16 | 2018 | 20 | |
| 17 | 2021 | 20 | |
| 18 | 2023 | 19 | |
| 19 | 2018 | 18 | |
| 20 | 2021 | 17 |
About Daniela Zöller
Daniela Zöller is a scholar working on Infectious Diseases, Genetics, Clinical Psychology, Statistics and Probability and Otorhinolaryngology, having authored 54 papers that have together received 954 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), Neurogenetic and Muscular Disorders Research (4 papers), Child Abuse and Trauma (3 papers), Privacy-Preserving Technologies in Data (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Head and Neck Cancer Studies (2 papers), Mobile Health and mHealth Applications (2 papers) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Health Informatics (104 citations), Genetics (143 citations), Otorhinolaryngology (26 citations), Neurology (42 citations) and Oncology (60 citations). Daniela Zöller has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Harald Binder, Jakob Neubauer, Alexander Rau, Johanna Nattenmüller, Hien Duy Tran, Maximilian Frederik Russe, Fabian Bamberg, Marco Reisert, Stephan Rau and Oliver J. Muensterer. Their work appears in journals such as BMC Medical Research Methodology, Journal of Medical Internet Research, JAMA Network Open, EClinicalMedicine and Nature Medicine.
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.