Vasiliki Anest

1.6k total citations
9 papers, 1.3k citations indexed

About

Vasiliki Anest is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Vasiliki Anest has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Vasiliki Anest's work include NF-κB Signaling Pathways (6 papers), interferon and immune responses (2 papers) and Cancer-related gene regulation (2 papers). Vasiliki Anest is often cited by papers focused on NF-κB Signaling Pathways (6 papers), interferon and immune responses (2 papers) and Cancer-related gene regulation (2 papers). Vasiliki Anest collaborates with scholars based in United States, France and Germany. Vasiliki Anest's co-authors include Albert S. Baldwin, Julie L. Hanson, Patricia C. Cogswell, Kris A. Steinbrecher, Brian D. Strahl, Jeffrey S. Rubin, Aykut Üren, Frieda Reichsman, Donald P. Bottaro and William G. Taylor and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Vasiliki Anest

8 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vasiliki Anest United States	8	963	533	312	230	109	9	1.3k
Sridevi Gottipati United States	7	900 0.9×	289 0.5×	534 1.7×	307 1.3×	61 0.6×	7	1.5k
Gabriele Bucci Italy	15	1.1k 1.1×	382 0.7×	272 0.9×	129 0.6×	78 0.7×	28	1.6k
Claudia Mertens United States	15	1.3k 1.3×	391 0.7×	182 0.6×	328 1.4×	83 0.8×	18	1.6k
Laurent Pouyet France	15	810 0.8×	225 0.4×	321 1.0×	313 1.4×	72 0.7×	18	1.4k
Sarah Oikemus United States	11	674 0.7×	263 0.5×	151 0.5×	175 0.8×	123 1.1×	14	989
Andrei Zlobin United States	13	1.1k 1.2×	261 0.5×	114 0.4×	381 1.7×	101 0.9×	18	1.4k
Jifang Wen China	22	833 0.9×	437 0.8×	123 0.4×	236 1.0×	127 1.2×	62	1.3k
Sergei Chuvpilo Germany	21	1.1k 1.1×	449 0.8×	865 2.8×	311 1.4×	104 1.0×	31	1.8k
William J. Magner United States	13	646 0.7×	253 0.5×	388 1.2×	215 0.9×	40 0.4×	33	1.0k

Countries citing papers authored by Vasiliki Anest

Since Specialization

Citations

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

Fields of papers citing papers by Vasiliki Anest

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasiliki Anest

This figure shows the co-authorship network connecting the top 25 collaborators of Vasiliki Anest. A scholar is included among the top collaborators of Vasiliki Anest 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 Vasiliki Anest. Vasiliki Anest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Hanson, Julie L., Kris A. Steinbrecher, Albert S. Baldwin, et al.. (2019). A nucleosomal function for IκB kinase-α in NF-κB-dependent gene expression. UNC Libraries.

Hawkins, Peter G., et al.. (2009). Promoter targeted small RNAs induce long-term transcriptional gene silencing in human cells. Nucleic Acids Research. 37(9). 2984–2995. 160 indexed citations

Duncan, Elizabeth A., Vasiliki Anest, Patricia C. Cogswell, & Albert S. Baldwin. (2006). The Kinases MSK1 and MSK2 Are Required for Epidermal Growth Factor-induced, but Not Tumor Necrosis Factor-induced, Histone H3 Ser10 Phosphorylation. Journal of Biological Chemistry. 281(18). 12521–12525. 35 indexed citations

Anest, Vasiliki, Patricia C. Cogswell, & Albert S. Baldwin. (2004). IκB Kinase α and p65/RelA Contribute to Optimal Epidermal Growth Factor-induced c-fos Gene Expression Independent of IκBα Degradation. Journal of Biological Chemistry. 279(30). 31183–31189. 61 indexed citations

Anest, Vasiliki, Julie L. Hanson, Patricia C. Cogswell, et al.. (2003). A nucleosomal function for IκB kinase-α in NF-κB-dependent gene expression. Nature. 423(6940). 659–663. 445 indexed citations

Hanson, Julie L., et al.. (2003). Oncoprotein Suppression of Tumor Necrosis Factor-induced NFκB Activation Is Independent of Raf-controlled Pathways. Journal of Biological Chemistry. 278(37). 34910–34917. 24 indexed citations

Yoshino, Kiyoshi, Jeffrey S. Rubin, Kathleen G. Higinbotham, et al.. (2001). Secreted Frizzled-related proteins can regulate metanephric development. Mechanisms of Development. 102(1-2). 45–55. 93 indexed citations

Westerheide, Sandy D., Marty W. Mayo, Vasiliki Anest, Julie L. Hanson, & Albert S. Baldwin. (2001). The Putative Oncoprotein Bcl-3 Induces Cyclin D1 To Stimulate G₁ Transition. Molecular and Cellular Biology. 21(24). 8428–8436. 156 indexed citations

Üren, Aykut, Frieda Reichsman, Vasiliki Anest, et al.. (2000). Secreted Frizzled-related Protein-1 Binds Directly to Wingless and Is a Biphasic Modulator of Wnt Signaling. Journal of Biological Chemistry. 275(6). 4374–4382. 320 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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