Isabel Cuartas

2.5k citations
8 papers · 1.0k · h-index 6

Impact in

  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways
  • Genetics top 5%
    • Glioma Diagnosis and Treatment

Papers in

    • TGF-β signaling in diseases 4
    • Ubiquitin and proteasome pathways 1
    • Cancer Cells and Metastasis 3

Isabel Cuartas

8 papers receiving 1.0k citations

Peers

Isabel Cuartas
Comparison fields: 5 of 69
  • Oncology 438
  • Genetics 172
  • Cancer Research 218
  • Molecular Biology 715
  • Immunology 121
Replace Sana Yokoi with:
Sana Yokoi Japan
Steven N. Quayle United States
Bastien Job France
Demirkan Gursel United States
Zachary A. Kohutek United States
Steve Woolfenden United States
Noriaki Sugawa Japan
Saket Jain United States
H-J. Su Huang United States
Michimasa Nozaki Japan
Isabel Cuartas relative to Sana Yokoi Japan Sana Yokoi's profile →
Citations per field
00.5×1.5×
Sana Yokoi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Isabel Cuartas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Isabel Cuartas Line = papers co-authored together Isabel Cuartas links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2009436
2 2012343
3 2014151
4 201875
5 201725
6 20248
7
Receptor Inhibitors Target the CD44(high)/Id1(high) Glioma-Initiating Cell Population in Human Glioblastoma
20105
8 20101

About Isabel Cuartas

Isabel Cuartas is a scholar working on Molecular Biology, Oncology, Genetics, Cell Biology and Immunology and Allergy, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (4 papers), Cancer Cells and Metastasis (3 papers), Cell Adhesion Molecules Research (2 papers), Glioma Diagnosis and Treatment (2 papers), Caveolin-1 and cellular processes (1 paper), Ubiquitin and proteasome pathways (1 paper), Microtubule and mitosis dynamics (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Oncology (438 citations), Genetics (172 citations), Cancer Research (218 citations), Molecular Biology (715 citations) and Immunology (121 citations). Isabel Cuartas has collaborated with scholars based in Spain, United States and Ireland. Frequent co-authors include Joan Seoane, José Baselga, Ignasi Barba, Juan Sahuquillo, David García‐Dorado, Gerard Folch, María A. Poca, Judit Anido, Silvia Peñuelas and Alba Gonzàlez-Juncà. Their work appears in journals such as Clinical Cancer Research, Nature Communications, Cancer Cell, Nature Medicine and Annals of Oncology.

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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