Virág Vas

32 papers and 855 indexed citations i.

About

Virág Vas is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Virág Vas has authored 32 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Cell Biology. Recurrent topics in Virág Vas’s work include Mesenchymal stem cell research (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). Virág Vas is often cited by papers focused on Mesenchymal stem cell research (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). Virág Vas collaborates with scholars based in Hungary, United States and Germany. Virág Vas's co-authors include Ferenc Uher, Judit Kiss, Éva Monostori, László Buday, Veronika S. Urbán, János Kovács, Elen Gócza, Hartmut Geiger, Gyöngyi Kudlik and Gina Marka and has published in prestigious journals such as Nature, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Virág Vas i

Fields of papers citing papers by Virág Vas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Virág Vas

Since Specialization
Citations

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).

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.

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2025