Daniela Kandioler-Eckersberger
- Oncology top 10%
- Cancer Research top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Pulmonary and Respiratory Medicine
- Co-authors
- Michael GnantR. JakeszElisabeth JanschekMargaretha RudasS. KappelChristian LudwigMartina MittlböckHermine Schlagbauer‐Wadl
- Topics
- Cancer-related Molecular Pathways (4 papers)Breast Cancer Treatment Studies (2 papers)HER2/EGFR in Cancer Research (2 papers)
In The Last Decade
Daniela Kandioler-Eckersberger
11 papers receiving 560 citations
Peers
Comparison fields: 5 of 56
- Oncology 389
- Cancer Research 235
- Molecular Biology 220
- Radiology, Nuclear Medicine and Imaging 106
- Pulmonary and Respiratory Medicine 81
Countries citing papers authored by Daniela Kandioler-Eckersberger
This map shows the geographic impact of Daniela Kandioler-Eckersberger'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 Kandioler-Eckersberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Kandioler-Eckersberger more than expected).
Fields of papers citing papers by Daniela Kandioler-Eckersberger
This network shows the impact of papers produced by Daniela Kandioler-Eckersberger. 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 Kandioler-Eckersberger. The network helps show where Daniela Kandioler-Eckersberger may publish in the future.
Co-authorship network of co-authors of Daniela Kandioler-Eckersberger
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Kandioler-Eckersberger. A scholar is included among the top collaborators of Daniela Kandioler-Eckersberger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela Kandioler-Eckersberger. Daniela Kandioler-Eckersberger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 5 | |
| 3 | 13 | |
| 4 | Evaluation of the United States Food and Drug Administration-approved scoring and test system of HER-2 protein expression in breast cancer. | 159 |
| 5 | 12 | |
| 6 | 51 | |
| 7 | 2 | |
| 8 | TP53 mutation and p53 overexpression for prediction of response to neoadjuvant treatment in breast cancer patients. | 222 |
| 9 | 42 | |
| 10 | 29 | |
| 11 | 3 |
About Daniela Kandioler-Eckersberger
Daniela Kandioler-Eckersberger is a scholar working on Archeology, Cancer Research and Oncology, having authored 11 papers that have together received 583 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Breast Cancer Treatment Studies (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Cancer Research (235 citations), Oncology (389 citations) and Radiology, Nuclear Medicine and Imaging (106 citations). Daniela Kandioler-Eckersberger has collaborated with scholars based in Austria, Germany and Canada. Frequent co-authors include Michael Gnant, R. Jakesz, Elisabeth Janschek, Margaretha Rudas, S. Kappel, Christian Ludwig, Martina Mittlböck, Hermine Schlagbauer‐Wadl, Catharina Wenzel and G Steger. Their work appears in journals such as Journal of Hepatology, British Journal of Cancer and European Journal of Cancer.
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.