José M. Izquierdo

11.1k total citations
73 papers, 2.2k citations indexed

About

José M. Izquierdo is a scholar working on Molecular Biology, Immunology and Clinical Biochemistry. According to data from OpenAlex, José M. Izquierdo has authored 73 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 14 papers in Immunology and 9 papers in Clinical Biochemistry. Recurrent topics in José M. Izquierdo's work include RNA modifications and cancer (28 papers), RNA Research and Splicing (27 papers) and ATP Synthase and ATPases Research (22 papers). José M. Izquierdo is often cited by papers focused on RNA modifications and cancer (28 papers), RNA Research and Splicing (27 papers) and ATP Synthase and ATPases Research (22 papers). José M. Izquierdo collaborates with scholars based in Spain, Sweden and France. José M. Izquierdo's co-authors include José M. Cuezva, Juan Valcárcel, Concepción Martínez, José Alcalde, Daniel Bilbao, Sophie Bonnal, Roderic Guigó, Robert Castelo, Miguel López de Heredia and Raquel Ruz Reyes and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

José M. Izquierdo

70 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José M. Izquierdo Spain 28 1.8k 340 231 195 167 73 2.2k
G Grimber France 24 1.2k 0.6× 172 0.5× 233 1.0× 176 0.9× 141 0.8× 48 2.1k
Oleg Denisenko United States 24 1.9k 1.0× 261 0.8× 198 0.9× 27 0.1× 127 0.8× 54 2.4k
Chiara Romano Italy 23 562 0.3× 200 0.6× 107 0.5× 88 0.5× 103 0.6× 67 1.4k
Evarist Planet Switzerland 20 1.5k 0.8× 149 0.4× 163 0.7× 31 0.2× 216 1.3× 33 2.0k
Ryutaro Shirakawa Japan 23 673 0.4× 84 0.2× 323 1.4× 40 0.2× 167 1.0× 51 1.5k
Andrea Dörner Germany 27 827 0.5× 114 0.3× 176 0.8× 115 0.6× 125 0.7× 45 1.6k
Claude Besmond France 26 952 0.5× 119 0.3× 143 0.6× 208 1.1× 124 0.7× 72 1.9k
Peng Yao United States 23 1.4k 0.8× 484 1.4× 274 1.2× 19 0.1× 60 0.4× 56 1.9k
Richard DeMarco United States 17 651 0.4× 158 0.5× 561 2.4× 321 1.6× 78 0.5× 26 1.5k
Lorenza Ronfani Italy 11 811 0.4× 173 0.5× 750 3.2× 635 3.3× 76 0.5× 12 1.8k

Countries citing papers authored by José M. Izquierdo

Since Specialization
Citations

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

Fields of papers citing papers by José M. Izquierdo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José M. Izquierdo. 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 José M. Izquierdo. The network helps show where José M. Izquierdo may publish in the future.

Co-authorship network of co-authors of José M. Izquierdo

This figure shows the co-authorship network connecting the top 25 collaborators of José M. Izquierdo. A scholar is included among the top collaborators of José M. Izquierdo 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 José M. Izquierdo. José M. Izquierdo 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.
Velasco, Beatriz, José Alcalde, & José M. Izquierdo. (2025). Welander distal myopathy-associated TIA1 mutation exacerbates P-body and stress granule dynamics concomitant with nucleolar stress under oxidative stress. Genes & Diseases. 12(6). 101543–101543.
2.
Izquierdo, José M., et al.. (2024). Bibliometric Overview on T-Cell Intracellular Antigens and Their Pathological Implications. Biology. 13(3). 195–195. 1 indexed citations
3.
4.
Izquierdo, José M.. (2024). Mitochondria–cGAS–STING axis is a potential therapeutic target for senescence-dependent inflammaging-associated neurodegeneration. Neural Regeneration Research. 20(3). 805–807. 1 indexed citations
5.
Izquierdo, José M.. (2023). Chromatin‐transcription interface: The secret of eternal youth?. Aging Cell. 22(9). e13927–e13927. 1 indexed citations
6.
Izquierdo, José M., et al.. (2021). A novel bipartite antitermination system widespread in conjugative elements of Gram-positive bacteria. Nucleic Acids Research. 49(10). 5553–5567. 8 indexed citations
7.
Alcalde, José, et al.. (2018). A Heterologous Cell Model for Studying the Role of T-Cell Intracellular Antigen 1 in Welander Distal Myopathy. Molecular and Cellular Biology. 39(1). 12 indexed citations
8.
9.
Izquierdo, José M., et al.. (2014). Long-term reduction of T-cell intracellular antigens leads to increased beta-actin expression. Molecular Cancer. 13(1). 90–90. 7 indexed citations
10.
Barrero, Juan J., et al.. (2013). Identification of a set of miRNAs differentially expressed in transiently TIA-depleted HeLa cells by genome-wide profiling. BMC Molecular Biology. 14(1). 4–4. 29 indexed citations
11.
Zabaleta, Jon, et al.. (2011). Survival after lung metastasectomy for colorectal cancer: Importance of previous liver metastasis as a prognostic factor. European Journal of Surgical Oncology. 37(9). 786–790. 71 indexed citations
12.
13.
Izquierdo, José M.. (2010). Cell-specific regulation of Fas exon 6 splicing mediated by Hu antigen R. Biochemical and Biophysical Research Communications. 402(2). 324–328. 21 indexed citations
14.
Reyes, Raquel Ruz & José M. Izquierdo. (2008). Half pint couples transcription and splicing of eIF4E-1,2 gene during fly development. Biochemical and Biophysical Research Communications. 374(4). 758–762. 3 indexed citations
15.
Izquierdo, José M. & José M. Cuezva. (2004). Epigenetic regulation of the binding activity of translation inhibitory proteins that bind the 3′ untranslated region of β-F1-ATPase mRNA by adenine nucleotides and the redox state. Archives of Biochemistry and Biophysics. 433(2). 481–486. 17 indexed citations
16.
Heredia, Miguel López de, José M. Izquierdo, & José M. Cuezva. (2000). A Conserved Mechanism for Controlling the Translation of β-F1-ATPase mRNA between the Fetal Liver and Cancer Cells. Journal of Biological Chemistry. 275(10). 7430–7437. 57 indexed citations
17.
Egea, Gustavo, et al.. (1997). mRNA encoding the β-subunit of the mitochondrial F1-ATPase complex is a localized mRNA in rat hepatocytes. Biochemical Journal. 322(2). 557–565. 46 indexed citations
18.
Izquierdo, José M. & José M. Cuezva. (1993). Evidence of Post-transcriptional Regulation in Mammalian Mitochondrial Biogenesis. Biochemical and Biophysical Research Communications. 196(1). 55–60. 30 indexed citations
19.
Izquierdo, José M. & José M. Cuezva. (1993). Thyroid hormones promote transcriptional activation of the nuclear gene coding for mitochondrial β‐F1ATPase in rat liver. FEBS Letters. 323(1-2). 109–112. 37 indexed citations
20.
Izquierdo, José M., et al.. (1990). Postnatal mitochondrial differentiation in rat liver. Regulation by thyroid hormones of the beta-subunit of the mitochondrial F1-ATPase complex.. Journal of Biological Chemistry. 265(16). 9090–9097. 80 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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