Isabel Cuartas

2.5k total citations
8 papers, 1.0k citations indexed

About

Isabel Cuartas is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Isabel Cuartas has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Genetics. Recurrent topics in Isabel Cuartas's work include TGF-β signaling in diseases (4 papers), Cancer Cells and Metastasis (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Isabel Cuartas is often cited by papers focused on TGF-β signaling in diseases (4 papers), Cancer Cells and Metastasis (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Isabel Cuartas collaborates with scholars based in Spain, United States and Netherlands. Isabel Cuartas's co-authors include Joan Seoane, José Baselga, Juan Sahuquillo, David García‐Dorado, Ignasi Barba, Gerard Folch, María A. Poca, Judit Anido, Silvia Peñuelas and Alba Gonzàlez-Juncà and has published in prestigious journals such as Nature Medicine, Nature Communications and Cancer Cell.

In The Last Decade

Isabel Cuartas

8 papers receiving 989 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabel Cuartas Spain 6 731 463 242 187 138 8 1.0k
Karina J. Yoon United States 18 777 1.1× 409 0.9× 168 0.7× 110 0.6× 128 0.9× 48 1.1k
Demirkan Gursel United States 19 491 0.7× 270 0.6× 284 1.2× 243 1.3× 112 0.8× 32 970
Cristel V. Camacho United States 14 952 1.3× 575 1.2× 293 1.2× 170 0.9× 81 0.6× 21 1.3k
Amber Heath United States 4 598 0.8× 719 1.6× 558 2.3× 195 1.0× 126 0.9× 5 1.2k
Gregory Foltz United States 15 546 0.7× 261 0.6× 337 1.4× 142 0.8× 67 0.5× 17 856
Kara White Moyes United States 12 416 0.6× 387 0.8× 164 0.7× 84 0.4× 220 1.6× 17 924
Federica Ruffini Italy 20 637 0.9× 461 1.0× 197 0.8× 65 0.3× 178 1.3× 30 936
Stephanie Smith‐Berdan United States 13 473 0.6× 460 1.0× 186 0.8× 102 0.5× 290 2.1× 18 1.1k
Tushar Tomar Netherlands 14 436 0.6× 219 0.5× 266 1.1× 151 0.8× 93 0.7× 21 747
Markus Bredel United States 15 565 0.8× 251 0.5× 199 0.8× 276 1.5× 58 0.4× 28 914

Countries citing papers authored by Isabel Cuartas

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Cuartas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabel Cuartas

This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Cuartas. A scholar is included among the top collaborators of Isabel Cuartas 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 Isabel Cuartas. Isabel Cuartas 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.
Bonfill‐Teixidor, Ester, Alexandra Arias, Isabel Cuartas, et al.. (2024). Cervical Cancer Evades the Host Immune System through the Inhibition of Type I Interferon and CXCL9 by LIF. Clinical Cancer Research. 30(19). 4505–4516. 5 indexed citations
2.
Liu, Qi, Lin Ma, Trevor J. Jones, et al.. (2018). Subjugation of TGFβ Signaling by Human Papilloma Virus in Head and Neck Squamous Cell Carcinoma Shifts DNA Repair from Homologous Recombination to Alternative End Joining. Clinical Cancer Research. 24(23). 6001–6014. 72 indexed citations
3.
Huber‐Ruano, Isabel, C. Raventós, Isabel Cuartas, et al.. (2017). An antisense oligonucleotide targeting TGF-β2 inhibits lung metastasis and induces CD86 expression in tumor-associated macrophages. Annals of Oncology. 28(9). 2278–2285. 24 indexed citations
4.
Annibali, Daniela, Jonathan R. Whitfield, Emilia Favuzzi, et al.. (2014). Myc inhibition is effective against glioma and reveals a role for Myc in proficient mitosis. Nature Communications. 5(1). 4632–4632. 145 indexed citations
5.
Eichhorn, Pieter J.A., Laura Rodón, Alba Gonzàlez-Juncà, et al.. (2012). USP15 stabilizes TGF-β receptor I and promotes oncogenesis through the activation of TGF-β signaling in glioblastoma. Nature Medicine. 18(3). 429–435. 332 indexed citations
6.
Anido, Judit, Andrea Sáez‐Borderías, Alba Gonzàlez-Juncà, et al.. (2010). Receptor Inhibitors Target the CD44(high)/Id1(high) Glioma-Initiating Cell Population in Human Glioblastoma. 18(6). 655–668. 5 indexed citations
7.
Anido, Judit, Andrea Sáez‐Borderías, Alba Gonzàlez-Juncà, et al.. (2010). 40 TGFβ receptor inhibitors target the CD44high/Id1high glioma stem cell population in human glioblastoma. European Journal of Cancer Supplements. 8(5). 10–11. 1 indexed citations
8.
Peñuelas, Silvia, Judit Anido, Gerard Folch, et al.. (2009). TGF-β Increases Glioma-Initiating Cell Self-Renewal through the Induction of LIF in Human Glioblastoma. Cancer Cell. 15(4). 315–327. 419 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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