Margit Rosner
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Immunology top 5%
Papers in
-
- Renal and related cancers 24
- PI3K/AKT/mTOR signaling in cancer 21
- Pluripotent Stem Cells Research 21
- CRISPR and Genetic Engineering 6
- Physiology 24
- Tuberous Sclerosis Complex Research 22
- Co-authors
- Markus Hengstschläger (92 shared papers)Helmut Dolznig (12 shared papers)Georg Krupitza (5 shared papers)Nina Kramer (5 shared papers)Angelika Walzl (2 shared papers)Christine Unger (1 shared paper)Katharina Schipany (13 shared papers)Gert Lübec (20 shared papers)
- Journals
- Amino Acids (15 papers)Oncogene (8 papers)Human Molecular Genetics (6 papers)Mutation Research/Reviews in Mutation Research (5 papers)Stem Cells Translational Medicine (4 papers)
- Partner nations
- AustriaUnited StatesSwitzerland
In The Last Decade
Margit Rosner
97 papers receiving 4.1k citations
Margit Rosner's Hit Papers
Peers
Comparison fields: 5 of 132
- Genetics 371
- Immunology 653
- Molecular Biology 2.2k
- Oncology 649
- Cancer Research 345
Countries citing papers authored by Margit Rosner
This map shows the geographic impact of Margit Rosner'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 Margit Rosner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margit Rosner more than expected).
Fields of papers citing papers by Margit Rosner
This network shows the impact of papers produced by Margit Rosner. 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 Margit Rosner. The network helps show where Margit Rosner may publish in the future.
Co-authors
The 25 scholars most cited alongside Margit Rosner, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | In vitro cell migration and invasion assays Hit paper breakdown → | 2012 | 937 |
| 2 | The TSC-mTOR Signaling Pathway Regulates the Innate Inflammatory Response Hit paper breakdown → | 2008 | 675 |
| 3 | 2008 | 204 | |
| 4 | 2011 | 125 | |
| 5 | 2009 | 124 | |
| 6 | 2004 | 116 | |
| 7 | 2008 | 113 | |
| 8 | 2013 | 110 | |
| 9 | 2003 | 87 | |
| 10 | 2011 | 72 | |
| 11 | 2007 | 63 | |
| 12 | 2010 | 63 | |
| 13 | 2009 | 61 | |
| 14 | 2010 | 58 | |
| 15 | 2015 | 51 | |
| 16 | 2002 | 51 | |
| 17 | 2006 | 50 | |
| 18 | 2004 | 50 | |
| 19 | 2005 | 50 | |
| 20 | 2007 | 49 |
About Margit Rosner
Margit Rosner is a scholar working on Molecular Biology, Physiology, Oncology, Cell Biology and Pediatrics, Perinatology and Child Health, having authored 97 papers that have together received 4.2k indexed citations. Recurring topics across this work include Renal and related cancers (24 papers), Tuberous Sclerosis Complex Research (22 papers), PI3K/AKT/mTOR signaling in cancer (21 papers), Pluripotent Stem Cells Research (21 papers), Prenatal Screening and Diagnostics (11 papers), Mesenchymal stem cell research (9 papers), Microtubule and mitosis dynamics (8 papers) and CRISPR and Genetic Engineering (6 papers). The work is most often cited by research in Genetics (371 citations), Immunology (653 citations), Molecular Biology (2.2k citations), Oncology (649 citations) and Cancer Research (345 citations). Margit Rosner has collaborated with scholars based in Austria, United States and Switzerland. Frequent co-authors include Markus Hengstschläger, Helmut Dolznig, Georg Krupitza, Nina Kramer, Angelika Walzl, Christine Unger, Katharina Schipany, Gert Lübec, Angelika Freilinger and Alessandro Valli. Their work appears in journals such as Amino Acids, Oncogene, Human Molecular Genetics, Mutation Research/Reviews in Mutation Research and Stem Cells Translational Medicine.
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.