Virág Vas
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 5
- PI3K/AKT/mTOR signaling in cancer 5
- Genetics 8
- Mesenchymal stem cell research 5
- Co-authors
- Ferenc Uher (9 shared papers)Éva Monostori (2 shared papers)Judit Kiss (4 shared papers)László Buday (21 shared papers)Veronika S. Urbán (2 shared papers)Elen Gócza (1 shared paper)János Kovács (2 shared papers)Hartmut Geiger (3 shared papers)
- Journals
- Cells (4 papers)International Journal of Molecular Sciences (4 papers)Scientific Reports (3 papers)Stem Cells (2 papers)Pathology & Oncology Research (2 papers)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Virág Vas
31 papers receiving 897 citations
Peers
Comparison fields: 5 of 82
- Genetics 214
- Hematology 150
- Aging 18
- Immunology 145
- Molecular Biology 426
Countries citing papers authored by Virág Vas
This map shows the geographic impact of Virág Vas'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 Virág Vas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virág Vas more than expected).
Fields of papers citing papers by Virág Vas
This network shows the impact of papers produced by Virág Vas. 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 Virág Vas. The network helps show where Virág Vas may publish in the future.
Co-authors
The 25 scholars most cited alongside Virág Vas, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 223 | |
| 2 | 2007 | 216 | |
| 3 | 2005 | 50 | |
| 4 | 2020 | 44 | |
| 5 | 2012 | 42 | |
| 6 | 2021 | 36 | |
| 7 | 2007 | 35 | |
| 8 | 2013 | 29 | |
| 9 | 2019 | 25 | |
| 10 | 2020 | 23 | |
| 11 | 2020 | 22 | |
| 12 | 2017 | 20 | |
| 13 | 2016 | 19 | |
| 14 | 2018 | 19 | |
| 15 | 2019 | 14 | |
| 16 | 2019 | 14 | |
| 17 | 2008 | 13 | |
| 18 | 2019 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2025 | 8 |
About Virág Vas
Virág Vas is a scholar working on Molecular Biology, Genetics, Oncology, Hematology and Cell Biology, having authored 33 papers that have together received 908 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Mesenchymal stem cell research (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cancer Cells and Metastasis (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Acute Myeloid Leukemia Research (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Genetics (214 citations), Hematology (150 citations), Aging (18 citations), Immunology (145 citations) and Molecular Biology (426 citations). Virág Vas has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Ferenc Uher, Éva Monostori, Judit Kiss, László Buday, Veronika S. Urbán, Elen Gócza, János Kovács, Hartmut Geiger, Gyöngyi Kudlik and Tamás Takács. Their work appears in journals such as Cells, International Journal of Molecular Sciences, Scientific Reports, Stem Cells and Pathology & Oncology Research.
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.