Eva Schuster
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 10
- Cancer-related molecular mechanisms research 4
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment 6
- Oncology top 10%
- Cancer Cells and Metastasis 7
- HER2/EGFR in Cancer Research 3
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- Glutathione Transferases and Polymorphisms 3
- Molecular Biology Techniques and Applications 3
- Obstetrics and Gynecology top 10%
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- Monoclonal and Polyclonal Antibodies Research 3
Eva Schuster
35 papers receiving 858 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 281
- Reproductive Medicine 137
- Oncology 333
- Molecular Biology 486
- Obstetrics and Gynecology 46
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 6 | |
| 8 | HER2 Codon 655 (Ile/Val) Polymorphism and Breast Cancer in Austrian Women. | 2015 | 7 |
| 9 | 2015 | 10 | |
| 10 | 2013 | 54 | |
| 11 | 2013 | 41 | |
| 12 | 2013 | 30 | |
| 13 | 2012 | 51 | |
| 14 | 2011 | 9 | |
| 15 | 2007 | 11 | |
| 16 | 2006 | 99 | |
| 17 | 2004 | 4 | |
| 18 | Vascular endothelial growth factor splice variants and their prognostic value in breast and ovarian cancer. | 2002 | 73 |
| 19 | 2002 | 19 | |
| 20 | 2002 | 31 |
About Eva Schuster
Eva Schuster is a scholar working on Cancer Research, Reproductive Medicine, Oncology, Molecular Biology and Immunology, having authored 37 papers that have together received 867 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Cancer Cells and Metastasis (7 papers), Ovarian cancer diagnosis and treatment (6 papers), Cancer-related molecular mechanisms research (4 papers), HER2/EGFR in Cancer Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Glutathione Transferases and Polymorphisms (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Cancer Research (281 citations), Reproductive Medicine (137 citations), Oncology (333 citations), Molecular Biology (486 citations) and Obstetrics and Gynecology (46 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, K. Czerwenka, Nicole Concin, Lukas Hefler, Rafał Watrowski, P Speiser and Alexander Reinthaller. Their work appears in journals such as Clinical Cancer Research, Breast Cancer Research and Treatment, Tumor Biology, BMC Cancer and International 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.