Marganit Farago

1.3k total citations
24 papers, 1.0k citations indexed

About

Marganit Farago is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Marganit Farago has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Immunology. Recurrent topics in Marganit Farago's work include PI3K/AKT/mTOR signaling in cancer (4 papers), Cancer-related gene regulation (4 papers) and Ubiquitin and proteasome pathways (3 papers). Marganit Farago is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (4 papers), Cancer-related gene regulation (4 papers) and Ubiquitin and proteasome pathways (3 papers). Marganit Farago collaborates with scholars based in Israel, United States and Canada. Marganit Farago's co-authors include David C. Seldin, Isabel Domínguez, Esther Landesman‐Bollag, Robert D. Cardiff, Nicolas Currier, Gail E. Sonenshein, Shulamit Katzav, David H. Sherr, Irit Alkalay and Andrea Rosner and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Marganit Farago

24 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marganit Farago Israel 15 656 189 168 154 134 24 1.0k
Somesh Baranwal United States 21 771 1.2× 247 1.3× 96 0.6× 382 2.5× 63 0.5× 36 1.2k
Xiuhua Liu China 17 437 0.7× 135 0.7× 95 0.6× 44 0.3× 59 0.4× 47 666
Minghui He China 15 862 1.3× 113 0.6× 153 0.9× 254 1.6× 76 0.6× 35 1.3k
Gerson Moura Ferreira Brazil 11 350 0.5× 181 1.0× 110 0.7× 166 1.1× 59 0.4× 26 659
Chantal Augeron France 15 688 1.0× 291 1.5× 148 0.9× 105 0.7× 171 1.3× 18 1.2k
Yihan Zhang China 13 574 0.9× 88 0.5× 84 0.5× 269 1.7× 66 0.5× 54 805
Chanchal Sadhu United States 17 551 0.8× 146 0.8× 326 1.9× 37 0.2× 124 0.9× 31 1.2k
Kiichi Ishikawa Japan 25 933 1.4× 102 0.5× 81 0.5× 71 0.5× 122 0.9× 68 1.5k
Corina Borghouts Germany 20 875 1.3× 265 1.4× 96 0.6× 82 0.5× 51 0.4× 29 1.2k
Kosj Yamoah United States 12 925 1.4× 334 1.8× 137 0.8× 95 0.6× 89 0.7× 16 1.2k

Countries citing papers authored by Marganit Farago

Since Specialization
Citations

This map shows the geographic impact of Marganit Farago'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 Marganit Farago with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marganit Farago more than expected).

Fields of papers citing papers by Marganit Farago

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marganit Farago. 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 Marganit Farago. The network helps show where Marganit Farago may publish in the future.

Co-authorship network of co-authors of Marganit Farago

This figure shows the co-authorship network connecting the top 25 collaborators of Marganit Farago. A scholar is included among the top collaborators of Marganit Farago 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 Marganit Farago. Marganit Farago 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.
Farago, Marganit, et al.. (2022). Vav1 accelerates Ras-driven lung cancer and modulates its tumor microenvironment.. Cellular Signalling. 97. 110395–110395. 8 indexed citations
2.
Farago, Marganit, et al.. (2022). Vav1 Promotes B-Cell Lymphoma Development. Cells. 11(6). 949–949. 7 indexed citations
3.
Farago, Marganit, Y. Yehuda, Rena Levin-Klein, et al.. (2021). Chromosomal coordination and differential structure of asynchronous replicating regions. Nature Communications. 12(1). 1035–1035. 9 indexed citations
4.
Farago, Marganit, et al.. (2020). Vav1 and mutant K-Ras synergize in the early development of pancreatic ductal adenocarcinoma in mice. Life Science Alliance. 3(5). e202000661–e202000661. 14 indexed citations
5.
Farago, Marganit, et al.. (2019). Vav1 mutations: What makes them oncogenic?. Cellular Signalling. 65. 109438–109438. 11 indexed citations
6.
Farago, Marganit, et al.. (2018). Vav1 mutations identified in human cancers give rise to different oncogenic phenotypes. Oncogenesis. 7(10). 80–80. 15 indexed citations
7.
Farago, Marganit, Merav Hecht, Reba Condiotti, et al.. (2017). Programming asynchronous replication in stem cells. Nature Structural & Molecular Biology. 24(12). 1132–1138. 6 indexed citations
8.
Farago, Marganit, et al.. (2014). Vav1 promotes lung cancer growth by instigating tumor-microenvironment cross-talk via growth factor secretion. Oncotarget. 5(19). 9214–9226. 14 indexed citations
9.
Farago, Marganit, et al.. (2013). Vav1 Fine Tunes p53 Control of Apoptosis versus Proliferation in Breast Cancer. PLoS ONE. 8(1). e54321–e54321. 31 indexed citations
10.
Ramel, Damien, Marganit Farago, Carlos M. Luque, et al.. (2013). The GEF Vav regulates guided cell migration by coupling guidance receptor signalling to local Rac activation. Journal of Cell Science. 126(Pt 10). 2285–93. 34 indexed citations
11.
Farago, Marganit, Chaggai Rosenbluh, S. P. Schlesinger, et al.. (2012). Clonal allelic predetermination of immunoglobulin-κ rearrangement. Nature. 490(7421). 561–565. 34 indexed citations
12.
Nadler, Chen, Kobi Baruch, Simi Kobi, et al.. (2010). The Type III Secretion Effector NleE Inhibits NF-κB Activation. PLoS Pathogens. 6(1). e1000743–e1000743. 142 indexed citations
13.
Abu-Remaileh, Monther, Marganit Farago, Irit Alkalay, et al.. (2010). Oct‐3/4 regulates stem cell identity and cell fate decisions by modulating Wnt/β‐catenin signalling. The EMBO Journal. 29(19). 3236–3248. 53 indexed citations
14.
Farago, Marganit, et al.. (2010). Tyrosine Residues at the Carboxyl Terminus of Vav1 Play an Important Role in Regulation of Its Biological Activity. Journal of Biological Chemistry. 285(30). 23075–23085. 21 indexed citations
15.
Navon, Ami, et al.. (2009). Direct proteasome binding and subsequent degradation of unspliced XBP‐1 prevent its intracellular aggregation. FEBS Letters. 584(1). 67–73. 14 indexed citations
16.
Schlezinger, Jennifer J., Donghui Liu, Marganit Farago, et al.. (2006). A role for the aryl hydrocarbon receptor in mammary gland tumorigenesis. Biological Chemistry. 387(9). 1175–87. 100 indexed citations
17.
Seldin, David C., et al.. (2005). CK2 as a positive regulator of Wnt signalling and tumourigenesis. Molecular and Cellular Biochemistry. 274(1-2). 63–67. 108 indexed citations
18.
Farago, Marganit, Isabel Domínguez, Esther Landesman‐Bollag, et al.. (2005). Kinase-Inactive Glycogen Synthase Kinase 3β Promotes Wnt Signaling and Mammary Tumorigenesis. Cancer Research. 65(13). 5792–5801. 129 indexed citations
19.
Farago, Marganit, et al.. (2003). Rpb4p, a Subunit of RNA Polymerase II, Mediates mRNA Export during Stress. Molecular Biology of the Cell. 14(7). 2744–2755. 60 indexed citations
20.
Cohen, Cyril J., et al.. (2002). Direct detection and quantitation of a distinct T-cell epitope derived from tumor-specific epithelial cell-associated mucin using human recombinant antibodies endowed with the antigen-specific, major histocompatibility complex-restricted specificity of T cells.. PubMed. 62(20). 5835–44. 47 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.

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