Carme Cortina

2.7k citations
13 papers · 1.6k indexed · 1 hit paper · h-index 11

Carme Cortina

13 papers receiving 1.6k citations

Hit Papers

Stromal gene expression defines poor-prognosis subtypes i...7752015202620182022250500750

Peers

Carme Cortina
Comparison fields: 5 of 92
  • Oncology 778
  • Cancer Research 362
  • Cell Biology 233
  • Molecular Biology 906
  • Cellular and Molecular Neuroscience 223
Replace Matthias A. Karajannis with:
Matthias A. Karajannis United States
Keltouma Driouch France
Yvan H. Chanthery United States
Linsey B. Reavie United States
Wei‐Ching Liang United States
Nathalie Baeza France
Annie S.Y. Chan China
David Tran United States
Thiennga K. Nguyen United States
Caroline A. Nebhan United States
Carme Cortina relative to Matthias A. Karajannis United States Matthias A. Karajannis's profile →
Citations per field
00.5×1.5×2.2×
Matthias A. Karajannis · 1×
Citations per year

Countries citing papers authored by Carme Cortina

Since Specialization
Citations

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

Fields of papers citing papers by Carme Cortina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Carme Cortina, 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 Carme Cortina Line = papers co-authored together Carme Cortina links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202412
2 20241
3 202230
4 202049
5 201789
6 20174
7
Stromal gene expression defines poor-prognosis subtypes in colorectal cancerbreakdown →
2015775
8 2014102
9 201426
10 2013118
11 201249
12 2011129
13 2007223

About Carme Cortina

Carme Cortina is a scholar working on Aging, Oncology and Molecular Biology, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), CRISPR and Genetic Engineering (4 papers), Renal and related cancers (3 papers), RNA modifications and cancer (2 papers), Pluripotent Stem Cells Research (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Oncology (778 citations), Cancer Research (362 citations) and Cell Biology (233 citations). Carme Cortina has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Eduard Batlle, Marta Sevillano, Elena Sancho, Mar Iglesias, Xavier Hernando‐Momblona, Sergio Palomo‐Ponce, Camille Stephan‐Otto Attolini, Sébastien Tosi, Alexandre Calon and Clara Morral. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Nature Genetics.

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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