Daniela Kauer-Dorner
Impact in
- Cancer Research top 10%
- Breast Cancer Treatment Studies
- Radiation top 5%
- Advanced Radiotherapy Techniques
Papers in
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- Breast Cancer Treatment Studies 15
-
- Breast Lesions and Carcinomas 8
- Co-authors
- Alexandra Resch (4 shared papers)Vratislav Strnad (7 shared papers)Jean‐Michel Hannoun‐Lévi (2 shared papers)György Kovács (5 shared papers)Peter Niehoff (5 shared papers)Richard Pötter (4 shared papers)Kristina Lössl (4 shared papers)Tibor Major (3 shared papers)
In The Last Decade
Daniela Kauer-Dorner
18 papers receiving 381 citations
Peers
Comparison fields: 5 of 42
- Cancer Research 276
- Radiation 142
- Pathology and Forensic Medicine 181
- Health Informatics 7
- Oncology 85
Countries citing papers authored by Daniela Kauer-Dorner
This map shows the geographic impact of Daniela Kauer-Dorner'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 Kauer-Dorner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Kauer-Dorner more than expected).
Fields of papers citing papers by Daniela Kauer-Dorner
This network shows the impact of papers produced by Daniela Kauer-Dorner. 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 Kauer-Dorner. The network helps show where Daniela Kauer-Dorner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Kauer-Dorner, 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 | 2013 | 104 | |
| 2 | 2015 | 96 | |
| 3 | 2011 | 65 | |
| 4 | 2019 | 26 | |
| 5 | 2014 | 17 | |
| 6 | 2010 | 16 | |
| 7 | 2008 | 15 | |
| 8 | 2018 | 12 | |
| 9 | 2024 | 9 | |
| 10 | 2009 | 5 | |
| 11 | 2012 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2018 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2016 | 2 | |
| 16 | 2016 | 2 | |
| 17 | 2013 | 1 | |
| 18 | 2025 | 1 |
About Daniela Kauer-Dorner
Daniela Kauer-Dorner is a scholar working on Cancer Research, Pathology and Forensic Medicine, Radiation, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 385 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (15 papers), Advanced Radiotherapy Techniques (8 papers), Breast Lesions and Carcinomas (8 papers), Cancer Treatment and Pharmacology (4 papers), Breast Implant and Reconstruction (4 papers), Effects of Radiation Exposure (3 papers), Vascular Tumors and Angiosarcomas (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Cancer Research (276 citations), Radiation (142 citations), Pathology and Forensic Medicine (181 citations), Health Informatics (7 citations) and Oncology (85 citations). Daniela Kauer-Dorner has collaborated with scholars based in Austria, Germany and Hungary. Frequent co-authors include Alexandra Resch, Vratislav Strnad, Jean‐Michel Hannoun‐Lévi, György Kovács, Peter Niehoff, Richard Pötter, Kristina Lössl, Tibor Major, Erik Van Limbergen and Csaba Polgár. Their work appears in journals such as Radiotherapy and Oncology, Brachytherapy, Strahlentherapie und Onkologie, International Journal of Radiation Oncology*Biology*Physics and Annals of Surgical Oncology.
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.