Eva Schuster
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
Papers in
-
- Cancer Genomics and Diagnostics 4
- Cancer-related molecular mechanisms research 4
- Oncology 13
- Cancer Cells and Metastasis 6
- HER2/EGFR in Cancer Research 3
- Lung Cancer Research Studies 2
- Co-authors
- Robert Zeillinger (32 shared papers)Dan Cacsire Castillo‐Tong (16 shared papers)Sepp Leodolter (8 shared papers)Georg Heinze (9 shared papers)Klaus F Czerwenka (6 shared papers)Alexander Reinthaller (4 shared papers)Nicole Concin (4 shared papers)Rafał Watrowski (9 shared papers)
In The Last Decade
Eva Schuster
37 papers receiving 910 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 219
- Reproductive Medicine 110
- Oncology 293
- Molecular Biology 450
- Genetics 120
Countries citing papers authored by Eva Schuster
This map shows the geographic impact of Eva Schuster'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 Eva Schuster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Schuster more than expected).
Fields of papers citing papers by Eva Schuster
This network shows the impact of papers produced by Eva Schuster. 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 Eva Schuster. The network helps show where Eva Schuster may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Schuster, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 102 | |
| 2 | 2007 | 91 | |
| 3 | 2005 | 76 | |
| 4 | Vascular endothelial growth factor splice variants and their prognostic value in breast and ovarian cancer. | 2002 | 73 |
| 5 | 2002 | 72 | |
| 6 | 2013 | 59 | |
| 7 | 2012 | 58 | |
| 8 | 2014 | 55 | |
| 9 | 2013 | 44 | |
| 10 | 2019 | 36 | |
| 11 | 2002 | 32 | |
| 12 | 2013 | 30 | |
| 13 | 2021 | 20 | |
| 14 | 2000 | 19 | |
| 15 | 2002 | 19 | |
| 16 | 2004 | 17 | |
| 17 | 2015 | 11 | |
| 18 | 2020 | 11 | |
| 19 | 2007 | 11 | |
| 20 | 2011 | 10 |
About Eva Schuster
Eva Schuster is a scholar working on Cancer Research, Oncology, Molecular Biology, Reproductive Medicine and Pathology and Forensic Medicine, having authored 39 papers that have together received 928 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Cancer Genomics and Diagnostics (4 papers), Cancer-related molecular mechanisms research (4 papers), Ovarian cancer diagnosis and treatment (3 papers), HER2/EGFR in Cancer Research (3 papers), Lung Cancer Research Studies (2 papers), Estrogen and related hormone effects (2 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Cancer Research (219 citations), Reproductive Medicine (110 citations), Oncology (293 citations), Molecular Biology (450 citations) and Genetics (120 citations). Eva Schuster has collaborated with scholars based in Austria, Germany and Belgium. Frequent co-authors include Robert Zeillinger, Dan Cacsire Castillo‐Tong, Sepp Leodolter, Georg Heinze, Klaus F Czerwenka, Alexander Reinthaller, Nicole Concin, Rafał Watrowski, Lukas Hefler and Armin Witt. Their work appears in journals such as Breast Cancer Research and Treatment, Tumor Biology, International Journal of Cancer, Clinical Cancer Research and BMC 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.