Virág Vas

1.5k total citations
32 papers, 894 citations indexed

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 894 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 PI3K/AKT/mTOR signaling in cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Mesenchymal stem cell research (5 papers). Virág Vas is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Mesenchymal stem cell research (5 papers). Virág Vas collaborates with scholars based in Hungary, United States and Germany. Virág Vas's 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 and has published in prestigious journals such as Nature, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Virág Vas

31 papers receiving 882 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Virág Vas Hungary 15 472 241 189 160 149 32 894
Hae Young Song South Korea 18 535 1.1× 299 1.2× 185 1.0× 49 0.3× 190 1.3× 21 990
Sally K. Martin Australia 18 553 1.2× 158 0.7× 194 1.0× 393 2.5× 133 0.9× 27 1.2k
Hema Vasavada United States 11 480 1.0× 85 0.4× 110 0.6× 165 1.0× 161 1.1× 16 901
Waylan Bessler United States 14 503 1.1× 152 0.6× 159 0.8× 39 0.2× 115 0.8× 21 984
Polyxenie E. Spoerri United States 12 626 1.3× 184 0.8× 113 0.6× 75 0.5× 81 0.5× 15 1.2k
David A. Rider United Kingdom 15 295 0.6× 196 0.8× 250 1.3× 35 0.2× 118 0.8× 26 790
Dan Link United States 6 390 0.8× 108 0.4× 70 0.4× 189 1.2× 144 1.0× 11 753
Yuan Zhu Germany 19 802 1.7× 166 0.7× 114 0.6× 52 0.3× 106 0.7× 48 2.0k
Nicolas Prévost United States 14 440 0.9× 162 0.7× 97 0.5× 552 3.5× 176 1.2× 21 1.2k
Anna Rita Torella Italy 6 444 0.9× 226 0.9× 180 1.0× 48 0.3× 92 0.6× 8 714

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).

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.

Co-authorship network of co-authors of Virág Vas

This figure shows the co-authorship network connecting the top 25 collaborators of Virág Vas. A scholar is included among the top collaborators of Virág Vas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Virág Vas. Virág Vas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Pancsa, Rita, et al.. (2024). Unveiling epithelial plasticity regulation in lung cancer: Exploring the cross-talk among Tks4 scaffold protein partners. Molecular Biology of the Cell. 35(8). ar111–ar111. 1 indexed citations
3.
Lovrics, Anna, et al.. (2024). Predictive value analysis of the interaction network of Tks4 scaffold protein in colon cancer. Frontiers in Molecular Biosciences. 11. 1414805–1414805.
4.
Takács, Tamás, et al.. (2024). Insulin receptor substrate 1 is a novel member of EGFR signaling in pancreatic cells. European Journal of Cell Biology. 103(4). 151457–151457. 3 indexed citations
5.
Takács, Tamás, et al.. (2023). Studying the Association of TKS4 and CD2AP Scaffold Proteins and Their Implications in the Partial Epithelial–Mesenchymal Transition (EMT) Process. International Journal of Molecular Sciences. 24(20). 15136–15136. 5 indexed citations
6.
Buday, László & Virág Vas. (2020). Novel regulation of Ras proteins by direct tyrosine phosphorylation and dephosphorylation. Cancer and Metastasis Reviews. 39(4). 1067–1073. 22 indexed citations
7.
Takács, Tamás, et al.. (2020). The effects of mutant Ras proteins on the cell signalome. Cancer and Metastasis Reviews. 39(4). 1051–1065. 43 indexed citations
8.
Kudlik, Gyöngyi, Tamás Takács, László Radnai, et al.. (2020). Advances in Understanding TKS4 and TKS5: Molecular Scaffolds Regulating Cellular Processes from Podosome and Invadopodium Formation to Differentiation and Tissue Homeostasis. International Journal of Molecular Sciences. 21(21). 8117–8117. 22 indexed citations
9.
Vas, Virág, Tamás Kovács, Gyöngyi Kudlik, et al.. (2019). Significance of the Tks4 scaffold protein in bone tissue homeostasis. Scientific Reports. 9(1). 5781–5781. 11 indexed citations
10.
Borbély, Sándor, Viktor Kis, Virág Vas, et al.. (2019). Dendritic spine morphology and memory formation depend on postsynaptic Caskin proteins. Scientific Reports. 9(1). 16843–16843. 23 indexed citations
11.
Radnai, László, Gergő Gógl, Orsolya Tőke, et al.. (2019). Structural insights into the tyrosine phosphorylation–mediated inhibition of SH3 domain–ligand interactions. Journal of Biological Chemistry. 294(12). 4608–4620. 14 indexed citations
12.
Vas, Virág, Gyöngyi Kudlik, Dávid Ernszt, et al.. (2019). Analysis of Tks4 Knockout Mice Suggests a Role for Tks4 in Adipose Tissue Homeostasis in the Context of Beigeing. Cells. 8(8). 831–831. 8 indexed citations
13.
Giaimo, Benedetto Daniele, Peggy Schwarz, Karin Soller, et al.. (2017). Heterodimerization of AML1/ETO with CBFβ is required for leukemogenesis but not for myeloproliferation. Leukemia. 31(11). 2491–2502. 20 indexed citations
14.
Kudlik, Gyöngyi, Dávid Ernszt, Krisztián Kvell, et al.. (2016). The scaffold protein Tks4 is required for the differentiation of mesenchymal stromal cells (MSCs) into adipogenic and osteogenic lineages. Scientific Reports. 6(1). 34280–34280. 19 indexed citations
15.
Florian, Maria Carolina, Kalpana Nattamai, Gina Marka, et al.. (2013). A canonical to non-canonical Wnt signalling switch in haematopoietic stem-cell ageing. Nature. 503(7476). 392–396. 221 indexed citations
16.
Raveh-Amit, Hadas, et al.. (2013). Tissue resident stem cells: till death do us part. Biogerontology. 14(6). 573–590. 29 indexed citations
17.
Vas, Virág, et al.. (2012). Contribution of an Aged Microenvironment to Aging-Associated Myeloproliferative Disease. PLoS ONE. 7(2). e31523–e31523. 42 indexed citations
18.
Luttun, Aernout, Beatriz Pelacho, Terry C. Burns, et al.. (2007). Transcriptional characterization of the notch signaling pathway in rodent multipotent adult progenitor cells. Pathology & Oncology Research. 13(4). 302–310. 7 indexed citations
19.
Varga, Gergely, Judit Kiss, Judit Várkonyi, et al.. (2007). Inappropriate notch activity and limited mesenchymal stem cell plasticity in the bone marrow of patients with myelodysplastic syndromes. Pathology & Oncology Research. 13(4). 311–319. 35 indexed citations
20.
Vas, Virág, et al.. (2002). Alternative views of tissue stem cell plasticity. PubMed. 32(3). 175–190. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026