Eric I. Danek

510 total citations
8 papers, 410 citations indexed

About

Eric I. Danek is a scholar working on Molecular Biology, Cell Biology and Infectious Diseases. According to data from OpenAlex, Eric I. Danek has authored 8 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cell Biology and 1 paper in Infectious Diseases. Recurrent topics in Eric I. Danek's work include Protein Kinase Regulation and GTPase Signaling (4 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Eric I. Danek is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (4 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Eric I. Danek collaborates with scholars based in Canada, France and United States. Eric I. Danek's co-authors include Nathalie Lamarche‐Vane, Ibtissem Triki, Joseph Tcherkezian, Thomas Walz, Sarah Jenna, Mayya Mériane, Evelyne Bloch‐Gallego, Sarah McFarlane, Christine A. Webber and Andreas D. Schenk and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Eric I. Danek

8 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric I. Danek Canada 7 183 127 116 92 63 8 410
Daniel J. Goetschius United States 8 149 0.8× 144 1.1× 48 0.4× 59 0.6× 33 0.5× 14 301
Julia Gilden United States 7 237 1.3× 172 1.4× 59 0.5× 40 0.4× 16 0.3× 11 460
H. Norbert Lanners United States 14 126 0.7× 42 0.3× 161 1.4× 94 1.0× 47 0.7× 26 633
Erlinda Fernández Spain 12 167 0.9× 25 0.2× 121 1.0× 48 0.5× 36 0.6× 16 385
Nadine Jarousse United States 15 185 1.0× 133 1.0× 76 0.7× 52 0.6× 131 2.1× 21 474
Lawrence A. Schriefer United States 15 485 2.7× 127 1.0× 50 0.4× 40 0.4× 16 0.3× 27 763
Mhairi C. Ferguson United Kingdom 5 125 0.7× 99 0.8× 76 0.7× 28 0.3× 15 0.2× 5 334
Zhiguo Liang United States 9 203 1.1× 54 0.4× 90 0.8× 45 0.5× 59 0.9× 12 451
Marcus Glittenberg United Kingdom 8 166 0.9× 39 0.3× 39 0.3× 63 0.7× 23 0.4× 9 399
Allison K. Timmons United States 12 185 1.0× 90 0.7× 48 0.4× 60 0.7× 96 1.5× 14 438

Countries citing papers authored by Eric I. Danek

Since Specialization
Citations

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

Fields of papers citing papers by Eric I. Danek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric I. Danek. 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 Eric I. Danek. The network helps show where Eric I. Danek may publish in the future.

Co-authorship network of co-authors of Eric I. Danek

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

All Works

8 of 8 papers shown
1.
He, Yi, Marie-Anne Goyette, Nadia Boufaied, et al.. (2023). CdGAP is a talin-binding protein and a target of TGF-β signaling that promotes HER2-positive breast cancer growth and metastasis. Cell Reports. 42(8). 112936–112936. 3 indexed citations
2.
Ferrón, François, Zongli Li, Eric I. Danek, et al.. (2011). The Hexamer Structure of the Rift Valley Fever Virus Nucleoprotein Suggests a Mechanism for its Assembly into Ribonucleoprotein Complexes. PLoS Pathogens. 7(5). e1002030–e1002030. 97 indexed citations
3.
Rahmeh, Amal, Andreas D. Schenk, Eric I. Danek, et al.. (2010). Molecular architecture of the vesicular stomatitis virus RNA polymerase. Proceedings of the National Academy of Sciences. 107(46). 20075–20080. 80 indexed citations
4.
Tcherkezian, Joseph, et al.. (2006). The human orthologue of CdGAP is a phosphoprotein and a GTPase‐activating protein for Cdc42 and Rac1 but not RhoA. Biology of the Cell. 98(8). 445–456. 26 indexed citations
5.
Danek, Eric I., Joseph Tcherkezian, Ibtissem Triki, Mayya Mériane, & Nathalie Lamarche‐Vane. (2006). Glycogen Synthase Kinase-3 Phosphorylates CdGAP at a Consensus ERK 1 Regulatory Site. Journal of Biological Chemistry. 282(6). 3624–3631. 7 indexed citations
6.
Tcherkezian, Joseph, Eric I. Danek, Sarah Jenna, Ibtissem Triki, & Nathalie Lamarche‐Vane. (2005). Extracellular Signal-Regulated Kinase 1 Interacts with and Phosphorylates CdGAP at an Important Regulatory Site. Molecular and Cellular Biology. 25(15). 6314–6329. 30 indexed citations
7.
Mériane, Mayya, Joseph Tcherkezian, Christine A. Webber, et al.. (2004). Phosphorylation of DCC by Fyn mediates Netrin-1 signaling in growth cone guidance. The Journal of Cell Biology. 167(4). 687–698. 98 indexed citations
8.
Jenna, Sarah, Natasha K. Hussain, Eric I. Danek, et al.. (2002). The Activity of the GTPase-activating Protein CdGAP Is Regulated by the Endocytic Protein Intersectin. Journal of Biological Chemistry. 277(8). 6366–6373. 69 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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