Stefanie Aust
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Reproductive Medicine top 2%
- Ovarian cancer diagnosis and treatment
Papers in
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- Ovarian cancer diagnosis and treatment 23
- Oncology 13
- Inflammatory Biomarkers in Disease Prognosis 6
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Dietmar Pils (28 shared papers)Anna Bachmayr-Heyda (14 shared papers)Katharina Auer (10 shared papers)Robert Zeillinger (15 shared papers)Nyamdelger Sukhbaatar (5 shared papers)Agnes T. Reiner (4 shared papers)Christoph Grimm (25 shared papers)Thomas W. Grunt (2 shared papers)
In The Last Decade
Stefanie Aust
57 papers receiving 1.9k citations
Stefanie Aust's Hit Papers
Peers
Comparison fields: 5 of 99
- Cancer Research 673
- Reproductive Medicine 273
- Oncology 340
- Molecular Biology 911
- Obstetrics and Gynecology 71
Countries citing papers authored by Stefanie Aust
This map shows the geographic impact of Stefanie Aust'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 Stefanie Aust with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefanie Aust more than expected).
Fields of papers citing papers by Stefanie Aust
This network shows the impact of papers produced by Stefanie Aust. 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 Stefanie Aust. The network helps show where Stefanie Aust may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefanie Aust, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Correlation of circular RNA abundance with proliferation – exemplified with colorectal and ovarian cancer, idiopathic lung fibrosis and normal human tissues Hit paper breakdown → | 2015 | 607 |
| 2 | 2015 | 123 | |
| 3 | 2015 | 99 | |
| 4 | 2013 | 96 | |
| 5 | 2016 | 55 | |
| 6 | 2017 | 54 | |
| 7 | 2013 | 54 | |
| 8 | 2020 | 53 | |
| 9 | 2012 | 52 | |
| 10 | 2010 | 48 | |
| 11 | 2017 | 46 | |
| 12 | 2015 | 39 | |
| 13 | 2011 | 36 | |
| 14 | 2012 | 36 | |
| 15 | 2016 | 36 | |
| 16 | 2016 | 35 | |
| 17 | 2019 | 32 | |
| 18 | 2013 | 30 | |
| 19 | 2017 | 29 | |
| 20 | 2011 | 26 |
About Stefanie Aust
Stefanie Aust is a scholar working on Reproductive Medicine, Oncology, Cancer Research, Molecular Biology and Immunology, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (23 papers), Inflammatory Biomarkers in Disease Prognosis (6 papers), Cancer, Lipids, and Metabolism (5 papers), Cancer-related molecular mechanisms research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immune Cell Function and Interaction (4 papers), Immune cells in cancer (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Cancer Research (673 citations), Reproductive Medicine (273 citations), Oncology (340 citations), Molecular Biology (911 citations) and Obstetrics and Gynecology (71 citations). Stefanie Aust has collaborated with scholars based in Austria, Germany and Belgium. Frequent co-authors include Dietmar Pils, Anna Bachmayr-Heyda, Katharina Auer, Robert Zeillinger, Nyamdelger Sukhbaatar, Agnes T. Reiner, Christoph Grimm, Thomas W. Grunt, Stephan Polterauer and Ildikó Mesteri. Their work appears in journals such as Cancers, Journal of Personalized Medicine, Scientific Reports, Oncotarget 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.