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
-
- Molecular Biology Techniques and Applications 2
- Oncology 13
- Cancer Cells and Metastasis 7
- HER2/EGFR in Cancer Research 3
- Lung Cancer Research Studies 2
- Co-authors
- Robert Zeillinger (33 shared papers)Dan Cacsire Castillo‐Tong (15 shared papers)Sepp Leodolter (7 shared papers)Georg Heinze (9 shared papers)K. Czerwenka (6 shared papers)Rafał Watrowski (9 shared papers)Nicole Concin (4 shared papers)Jalid Sehouli (6 shared papers)
In The Last Decade
Eva Schuster
36 papers receiving 864 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 211
- Reproductive Medicine 95
- Oncology 281
- Molecular Biology 423
- Obstetrics and Gynecology 28
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 99 | |
| 2 | 2007 | 86 | |
| 3 | Vascular endothelial growth factor splice variants and their prognostic value in breast and ovarian cancer. | 2002 | 73 |
| 4 | 2005 | 72 | |
| 5 | 2002 | 70 | |
| 6 | 2014 | 55 | |
| 7 | 2013 | 54 | |
| 8 | 2012 | 52 | |
| 9 | 2013 | 42 | |
| 10 | 2019 | 36 | |
| 11 | 2002 | 31 | |
| 12 | 2013 | 30 | |
| 13 | 2021 | 21 | |
| 14 | 2002 | 19 | |
| 15 | 2004 | 18 | |
| 16 | 2007 | 11 | |
| 17 | 2011 | 10 | |
| 18 | 2015 | 10 | |
| 19 | 2011 | 9 | |
| 20 | The -463G/A polymorphism in myeloperoxidase gene and cervical cancer. | 2007 | 9 |
About Eva Schuster
Eva Schuster is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Genetics, having authored 37 papers that have together received 873 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), Cancer Genomics and Diagnostics (6 papers), Cancer-related molecular mechanisms research (4 papers), Ovarian cancer diagnosis and treatment (3 papers), HER2/EGFR in Cancer Research (3 papers), Molecular Biology Techniques and Applications (2 papers), Estrogen and related hormone effects (2 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Cancer Research (211 citations), Reproductive Medicine (95 citations), Oncology (281 citations), Molecular Biology (423 citations) and Obstetrics and Gynecology (28 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, Rafał Watrowski, Nicole Concin, Jalid Sehouli, Elena Ioana Braicu and Lukas Hefler. 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.