E. Y. Skolnik

3.1k total citations · 3 hit papers
10 papers, 2.7k citations indexed

About

E. Y. Skolnik is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, E. Y. Skolnik has authored 10 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cell Biology and 1 paper in Surgery. Recurrent topics in E. Y. Skolnik's work include Protein Kinase Regulation and GTPase Signaling (10 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). E. Y. Skolnik is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (10 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). E. Y. Skolnik collaborates with scholars based in United States, Germany and Canada. E. Y. Skolnik's co-authors include Joseph Schlessinger, Ben Margolis, Andreas Batzer, Jonathan Backer, Chi‐Hon Lee, Patrick J Hu, Daniel J. Chin, Steven E. Shoelson, Xiao‐Jian Sun and Martin G. Myers and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The EMBO Journal.

In The Last Decade

E. Y. Skolnik

10 papers receiving 2.6k citations

Hit Papers

Phosphatidylinositol 3′-kinase is activated by associatio... 1992 2026 2003 2014 1992 1993 1993 250 500 750

Peers

E. Y. Skolnik
Vered Ribon United States
Christopher J. Molloy United States
S Nishibe United States
Andrew J. Garton United States
C M Heyworth United Kingdom
Karin Mellström United States
Alejandra Tomás United Kingdom
Michael A. Shia United States
E. Y. Skolnik
Citations per year, relative to E. Y. Skolnik E. Y. Skolnik (= 1×) peers Maria Rozakis-Adcock

Countries citing papers authored by E. Y. Skolnik

Since Specialization
Citations

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

Fields of papers citing papers by E. Y. Skolnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Y. Skolnik. 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 E. Y. Skolnik. The network helps show where E. Y. Skolnik may publish in the future.

Co-authorship network of co-authors of E. Y. Skolnik

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

All Works

10 of 10 papers shown
1.
She, Hongyun, Jian Tang, Riko Nishimura, et al.. (1997). Wiskott-Aldrich syndrome protein is associated with the adapter protein Grb2 and the epidermal growth factor receptor in living cells.. Molecular Biology of the Cell. 8(9). 1709–1721. 104 indexed citations
2.
Isakoff, Steven J., et al.. (1995). The inability of phosphatidylinositol 3-kinase activation to stimulate GLUT4 translocation indicates additional signaling pathways are required for insulin-stimulated glucose uptake.. Proceedings of the National Academy of Sciences. 92(22). 10247–10251. 119 indexed citations
3.
Margolis, Ben & E. Y. Skolnik. (1994). Activation of Ras by receptor tyrosine kinases.. Journal of the American Society of Nephrology. 5(6). 1288–1299. 130 indexed citations
4.
Batzer, Andreas, et al.. (1994). Hierarchy of Binding Sites for Grb2 and Shc on the Epidermal Growth Factor Receptor. Molecular and Cellular Biology. 14(8). 5192–5201. 141 indexed citations
5.
Skolnik, E. Y., Chi‐Hon Lee, Andreas Batzer, et al.. (1993). The SH2/SH3 domain-containing protein GRB2 interacts with tyrosine-phosphorylated IRS1 and Shc: implications for insulin control of ras signalling.. The EMBO Journal. 12(5). 1929–1936. 628 indexed citations breakdown →
6.
Skolnik, E. Y., Andreas Batzer, Chi‐Hon Lee, et al.. (1993). The Function of GRB2 in Linking the Insulin Receptor to Ras Signaling Pathways. Science. 260(5116). 1953–1955. 538 indexed citations breakdown →
7.
Hu, Patrick J, Ben Margolis, E. Y. Skolnik, et al.. (1992). Interaction of Phosphatidylinositol 3-Kinase-Associated p85 with Epidermal Growth Factor and Platelet-Derived Growth Factor Receptors. Molecular and Cellular Biology. 12(3). 981–990. 94 indexed citations
8.
Li, W, Patrick J Hu, E. Y. Skolnik, A Ullrich, & Joseph Schlessinger. (1992). The SH2 and SH3 Domain-Containing Nek Protein Is Oncogenic and a Common Target for Phosphorylation by Different Surface Receptors. Molecular and Cellular Biology. 12(12). 5824–5833. 29 indexed citations
9.
Backer, Jonathan, Martin G. Myers, Steven E. Shoelson, et al.. (1992). Phosphatidylinositol 3′-kinase is activated by association with IRS-1 during insulin stimulation.. The EMBO Journal. 11(9). 3469–3479. 891 indexed citations breakdown →
10.
Cannizzaro, Linda A., E. Y. Skolnik, Ben Margolis, et al.. (1991). The human gene encoding phosphatidylinositol-3 kinase associated p85 alpha is at chromosome region 5q12-13.. Cancer Research. 51(14). 3818–20. 6 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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