Raphaela Schwentner
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Sarcoma Diagnosis and Treatment
Papers in
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- RNA Research and Splicing 8
- RNA modifications and cancer 7
- Ubiquitin and proteasome pathways 2
- Protein Degradation and Inhibitors 2
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- Histiocytic Disorders and Treatments 9
- Co-authors
- Heinrich Kovar (19 shared papers)Maximilian Kauer (14 shared papers)Gunhild Jug (9 shared papers)Caroline Hutter (11 shared papers)Dave N.T. Aryee (10 shared papers)Jozef Ban (6 shared papers)D N T Aryee (4 shared papers)Paul S. Meltzer (3 shared papers)
- Journals
- Cancer Research (5 papers)Oncotarget (4 papers)Oncogene (3 papers)Blood (3 papers)Blood Advances (2 papers)
- Partner nations
- AustriaUnited StatesSlovakia
In The Last Decade
Raphaela Schwentner
29 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 71
- Cancer Research 253
- Pulmonary and Respiratory Medicine 338
- Geriatrics and Gerontology 27
- Oncology 199
- Physiology 190
Countries citing papers authored by Raphaela Schwentner
This map shows the geographic impact of Raphaela Schwentner'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 Raphaela Schwentner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaela Schwentner more than expected).
Fields of papers citing papers by Raphaela Schwentner
This network shows the impact of papers produced by Raphaela Schwentner. 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 Raphaela Schwentner. The network helps show where Raphaela Schwentner may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaela Schwentner, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 86 | |
| 2 | 2008 | 83 | |
| 3 | 2017 | 80 | |
| 4 | 2011 | 79 | |
| 5 | 2012 | 73 | |
| 6 | 2014 | 61 | |
| 7 | 2010 | 61 | |
| 8 | 2020 | 61 | |
| 9 | 2014 | 51 | |
| 10 | 2017 | 41 | |
| 11 | 2013 | 40 | |
| 12 | 2019 | 38 | |
| 13 | 2021 | 37 | |
| 14 | 2015 | 35 | |
| 15 | 2013 | 33 | |
| 16 | 2017 | 29 | |
| 17 | 2018 | 27 | |
| 18 | 2017 | 23 | |
| 19 | 2018 | 20 | |
| 20 | 2018 | 18 |
About Raphaela Schwentner
Raphaela Schwentner is a scholar working on Molecular Biology, Physiology, Immunology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Histiocytic Disorders and Treatments (9 papers), RNA Research and Splicing (8 papers), RNA modifications and cancer (7 papers), Sarcoma Diagnosis and Treatment (6 papers), Mast cells and histamine (4 papers), interferon and immune responses (3 papers), Ubiquitin and proteasome pathways (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Cancer Research (253 citations), Pulmonary and Respiratory Medicine (338 citations), Geriatrics and Gerontology (27 citations), Oncology (199 citations) and Physiology (190 citations). Raphaela Schwentner has collaborated with scholars based in Austria, United States and Slovakia. Frequent co-authors include Heinrich Kovar, Maximilian Kauer, Gunhild Jug, Caroline Hutter, Dave N.T. Aryee, Jozef Ban, D N T Aryee, Paul S. Meltzer, Max Kauer and Milen Minkov. Their work appears in journals such as Cancer Research, Oncotarget, Oncogene, Blood and Blood Advances.
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.