Emilio Itarte

1.8k total citations
74 papers, 1.6k citations indexed

About

Emilio Itarte is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Emilio Itarte has authored 74 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 22 papers in Cell Biology and 9 papers in Plant Science. Recurrent topics in Emilio Itarte's work include Protein Kinase Regulation and GTPase Signaling (13 papers), Endoplasmic Reticulum Stress and Disease (12 papers) and Phytase and its Applications (9 papers). Emilio Itarte is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (13 papers), Endoplasmic Reticulum Stress and Disease (12 papers) and Phytase and its Applications (9 papers). Emilio Itarte collaborates with scholars based in Spain, Italy and United States. Emilio Itarte's co-authors include Maria Plana, Kuo‐Ping Huang, Joan J. Guinovart, Francesc Miró‐Mur, Franc Llorens, Mercè Pérez‐Riba, Joan Massagué, Carlos J. Ciudad, Eduard Sarró and Lorenzo A. Pinna and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Emilio Itarte

73 papers receiving 1.5k citations

Peers

Emilio Itarte
Niels J. F. van den Broek Netherlands
Kristin K. Nelson United States
R C Inhorn United States
Kunimi Kikuchi Japan
Sejeong Shin United States
Mustapha Kandouz United States
Daniel J. Price United States
Yongmun Choi South Korea
Vivian Fu United States
Jyoti Athanikar United States
Niels J. F. van den Broek Netherlands
Emilio Itarte
Citations per year, relative to Emilio Itarte Emilio Itarte (= 1×) peers Niels J. F. van den Broek

Countries citing papers authored by Emilio Itarte

Since Specialization
Citations

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

Fields of papers citing papers by Emilio Itarte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emilio Itarte

This figure shows the co-authorship network connecting the top 25 collaborators of Emilio Itarte. A scholar is included among the top collaborators of Emilio Itarte 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 Emilio Itarte. Emilio Itarte 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.
Vilardell, Jordi, Christian Borgo, Eduard Sarró, et al.. (2020). Effects of CK2β subunit down-regulation on Akt signalling in HK-2 renal cells. PLoS ONE. 15(1). e0227340–e0227340. 11 indexed citations
2.
Vilardell, Jordi, Eduard Sarró, Thaïs Cuadros, et al.. (2017). Under-expression of CK2β subunit in ccRCC represents a complementary biomarker of p-STAT3 Ser727 that correlates with patient survival. Oncotarget. 9(5). 5736–5751. 15 indexed citations
3.
Ferrer‐Font, Laura, et al.. (2015). Protein Kinase CK2 Content in GL261 Mouse Glioblastoma. Pathology & Oncology Research. 22(3). 633–637. 5 indexed citations
4.
Cuadros, Thaïs, Eduard Sarró, Maya R. Vilà, et al.. (2014). HAVCR/KIM-1 Activates the IL-6/STAT-3 Pathway in Clear Cell Renal Cell Carcinoma and Determines Tumor Progression and Patient Outcome. Cancer Research. 74(5). 1416–1428. 76 indexed citations
5.
Martínez-Høyer, Sergio, Álvaro Aranguren‐Ibáñez, Javier Garcı́a-Garcı́a, et al.. (2013). Protein kinase CK2-dependent phosphorylation of the human Regulators of Calcineurin reveals a novel mechanism regulating the calcineurin–NFATc signaling pathway. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1833(10). 2311–2321. 14 indexed citations
6.
Sarró, Eduard, Conxita Jacobs-Cachá, Emilio Itarte, & Anna Meseguer. (2011). A pharmacologically-based array to identify targets of cyclosporine A-induced toxicity in cultured renal proximal tubule cells. Toxicology and Applied Pharmacology. 258(2). 275–287. 18 indexed citations
7.
Gil, Carles, Eduard Sarró, Roger Cubí, et al.. (2010). Protein kinase CK2 associates to lipid rafts and its pharmacological inhibition enhances neurotransmitter release. FEBS Letters. 585(2). 414–420. 13 indexed citations
8.
Vera, Jorge, Josep Marı́a Estanyol, Núria Canela-Canela, et al.. (2007). Proteomic analysis of SET‐binding proteins. PROTEOMICS. 7(4). 578–587. 24 indexed citations
9.
García‐García, Lourdes, et al.. (2002). PP1/PP2A phosphatases inhibitors okadaic acid and calyculin A block ERK5 activation by growth factors and oxidative stress. FEBS Letters. 523(1-3). 90–94. 45 indexed citations
10.
Miró‐Mur, Francesc, Franc Llorens, Nerea Roher, et al.. (2002). Persistent nuclear accumulation of protein kinase CK2 during the G1-phase of the cell cycle does not depend on the ERK1/2 pathway but requires active protein synthesis. Archives of Biochemistry and Biophysics. 406(2). 165–172. 3 indexed citations
11.
Miravet, Susana, José Piedra, Francesc Miró‐Mur, et al.. (2002). The Transcriptional Factor Tcf-4 Contains Different Binding Sites for β-Catenin and Plakoglobin. Journal of Biological Chemistry. 277(3). 1884–1891. 100 indexed citations
12.
Roher, Nerea, Francesc Miró‐Mur, Brigitte Boldyreff, et al.. (2001). The C‐terminal domain of human grp94 protects the catalytic subunit of protein kinase CK2 (CK2α) against thermal aggregation. European Journal of Biochemistry. 268(2). 429–436. 16 indexed citations
13.
Roher, Nerea, Stefania Sarno, Francesc Miró‐Mur, et al.. (2001). The carboxy‐terminal domain of Grp94 binds to protein kinase CK2α but not to CK2 holoenzyme. FEBS Letters. 505(1). 42–46. 11 indexed citations
14.
Roher, Nerea, et al.. (1998). Protein kinase CK2 is altered in insulin‐resistant genetically obese (fa/fa) rats. FEBS Letters. 437(3). 211–215. 4 indexed citations
15.
Trujillo, Ramón, Francesc Miró‐Mur, Maria Plana, et al.. (1997). Substrates for Protein Kinase CK2 in Insulin Receptor Preparations from Rat Liver Membranes: Identification of a 210-kDa Protein Substrate as the Dimeric Form of Endoplasmin. Archives of Biochemistry and Biophysics. 344(1). 18–28. 12 indexed citations
16.
Gil, Carles, Maria Plana, Marta Riera, & Emilio Itarte. (1996). Rat Liver pp49, a Protein That Forms Complexes with Protein Kinase CK2, Is Composed of the β and the γ Subunits of Translation Initiation Factor eIF-2. Biochemical and Biophysical Research Communications. 225(3). 1052–1057. 5 indexed citations
17.
Biosca, Josep A., et al.. (1993). Characterization of the hepatic insulin receptor undergoing internalization through clathrin‐coated vesicles and endosomes. FEBS Letters. 334(3). 286–288. 8 indexed citations
18.
Vilà, Jordi, D. Michael Payne, Thomas F. Zioncheck, et al.. (1990). Phosphorylation and activation of p40 tyrosine kinase by casein kinase‐1. FEBS Letters. 264(1). 21–24. 2 indexed citations
19.
Vilà, Jordi, et al.. (1989). Phosphorylation of protein kinase C by casein kinase‐1. FEBS Letters. 255(1). 205–208. 9 indexed citations
20.
Pérez‐Riba, Mercè, et al.. (1988). Phosphorylation of hepatic insulin receptor by casein kinase 2. FEBS Letters. 232(1). 130–134. 26 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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