Daniela Zöller
Impact in
- Genetics top 10%
- Neurogenetic and Muscular Disorders Research
Papers in
-
- Statistical Methods and Inference 3
- Oncology 7
- COVID-19 and healthcare impacts 4
- Inflammatory Biomarkers in Disease Prognosis 2
- Co-authors
- Harald Binder (19 shared papers)Oliver J. Muensterer (1 shared paper)Arndt Weinmann (4 shared papers)Hauke Lang (3 shared papers)Martin Franz Sprinzl (3 shared papers)Hamimatunnisa Johar (6 shared papers)Georg Schomerus (6 shared papers)Seryan Atasoy (6 shared papers)
- Journals
- BMC Medical Research Methodology (3 papers)Journal of Medical Internet Research (3 papers)JAMA Network Open (2 papers)EClinicalMedicine (2 papers)Biometrical Journal (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Daniela Zöller
51 papers receiving 789 citations
Peers
Comparison fields: 5 of 94
- Genetics 151
- Health Informatics 12
- Otorhinolaryngology 21
- Oncology 110
- Infectious Diseases 68
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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 83 | |
| 2 | 2022 | 63 | |
| 3 | 2022 | 52 | |
| 4 | 2018 | 46 | |
| 5 | 2024 | 39 | |
| 6 | 2018 | 38 | |
| 7 | 2022 | 32 | |
| 8 | 2019 | 29 | |
| 9 | 2022 | 26 | |
| 10 | 2023 | 24 | |
| 11 | 2022 | 24 | |
| 12 | 2022 | 23 | |
| 13 | 2022 | 22 | |
| 14 | 2021 | 21 | |
| 15 | 2018 | 20 | |
| 16 | 2018 | 18 | |
| 17 | 2021 | 18 | |
| 18 | 2021 | 17 | |
| 19 | 2023 | 17 | |
| 20 | 2023 | 17 |
About Daniela Zöller
Daniela Zöller is a scholar working on Statistics and Probability, Oncology, Clinical Psychology, Genetics and Infectious Diseases, having authored 53 papers that have together received 813 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Neurogenetic and Muscular Disorders Research (4 papers), COVID-19 and healthcare impacts (4 papers), Child Abuse and Trauma (3 papers), Child and Adolescent Health (3 papers), Statistical Methods and Inference (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers) and Head and Neck Cancer Studies (2 papers). The work is most often cited by research in Genetics (151 citations), Health Informatics (12 citations), Otorhinolaryngology (21 citations), Oncology (110 citations) and Infectious Diseases (68 citations). Daniela Zöller has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Harald Binder, Oliver J. Muensterer, Arndt Weinmann, Hauke Lang, Martin Franz Sprinzl, Hamimatunnisa Johar, Georg Schomerus, Seryan Atasoy, Sandra C. Koch and Peter Robert Galle. Their work appears in journals such as BMC Medical Research Methodology, Journal of Medical Internet Research, JAMA Network Open, EClinicalMedicine and Biometrical Journal.
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.