Rosa Arribas

604 total citations
8 papers, 507 citations indexed

About

Rosa Arribas is a scholar working on Pathology and Forensic Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Rosa Arribas has authored 8 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Rosa Arribas's work include Genetic factors in colorectal cancer (6 papers), Colorectal Cancer Treatments and Studies (4 papers) and Cancer Genomics and Diagnostics (2 papers). Rosa Arribas is often cited by papers focused on Genetic factors in colorectal cancer (6 papers), Colorectal Cancer Treatments and Studies (4 papers) and Cancer Genomics and Diagnostics (2 papers). Rosa Arribas collaborates with scholars based in Spain, United States and Russia. Rosa Arribas's co-authors include Miguel A. Peinado, Silvia Tórtola, Karl Hartmut Richter, Holger M. Reichardt, Günther Schütz, Peter Angel, Jan Tuckermann, Gabriel Capellá, Gemma Aiza and Manuel Perucho and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Cell Biology and British Journal of Cancer.

In The Last Decade

Rosa Arribas

8 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rosa Arribas Spain 8 232 205 200 159 118 8 507
Sabine Franke Germany 11 139 0.6× 100 0.5× 281 1.4× 146 0.9× 150 1.3× 24 557
T. Steinbrueck United States 8 164 0.7× 131 0.6× 281 1.4× 140 0.9× 189 1.6× 9 529
C.A. Haiman United States 6 267 1.2× 89 0.4× 356 1.8× 102 0.6× 155 1.3× 7 609
Cathy A.J. Bosch Netherlands 10 215 0.9× 136 0.7× 267 1.3× 255 1.6× 205 1.7× 19 650
Ira Kogan Israel 8 309 1.3× 93 0.5× 410 2.0× 135 0.8× 58 0.5× 9 656
Neelam G. Shah India 13 338 1.5× 128 0.6× 225 1.1× 102 0.6× 42 0.4× 23 591
Françoise Dessarps-Freichey France 5 204 0.9× 57 0.3× 186 0.9× 103 0.6× 111 0.9× 6 385
Jenny Varley United Kingdom 11 194 0.8× 58 0.3× 224 1.1× 74 0.5× 71 0.6× 14 378
Louise James United Kingdom 11 177 0.8× 79 0.4× 280 1.4× 237 1.5× 144 1.2× 18 616
Emmanuel Tubacher France 8 95 0.4× 111 0.5× 465 2.3× 170 1.1× 131 1.1× 11 708

Countries citing papers authored by Rosa Arribas

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Arribas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosa Arribas

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Arribas. A scholar is included among the top collaborators of Rosa Arribas 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 Rosa Arribas. Rosa Arribas 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.
Ribas, Maria, Rosa Arribas, F. García, et al.. (2000). Cytogenetic Characterization of Two Colon Cell Lines by Using Conventional G-Banding, Comparative Genomic Hybridization, and Whole Chromosome Painting. Cancer Genetics and Cytogenetics. 121(1). 17–21. 53 indexed citations
2.
Arribas, Rosa, Rosa Ana Risques, Gemma Aiza, et al.. (1999). Tracking recurrent quantitative genomic alterations in colorectal cancer: allelic losses in chromosome 4 correlate with tumor aggressiveness.. PubMed. 79(2). 111–22. 29 indexed citations
3.
Tuckermann, Jan, Holger M. Reichardt, Rosa Arribas, et al.. (1999). The DNA Binding-Independent Function of the Glucocorticoid Receptor Mediates Repression of Ap-1–Dependent Genes in Skin. The Journal of Cell Biology. 147(7). 1365–1370. 168 indexed citations
4.
Tórtola, Silvia, Eugenio Marcuello, Isabel González‐Álvarez, et al.. (1999). p53 and K-ras Gene Mutations Correlate With Tumor Aggressiveness But Are Not of Routine Prognostic Value in Colorectal Cancer. Journal of Clinical Oncology. 17(5). 1375–1375. 115 indexed citations
5.
Arribas, Rosa, Maria Ribas, Rosa Ana Risques, et al.. (1999). Prospective assessment of allelic losses at 4p14-16 in colorectal cancer: two mutational patterns and a locus associated with poorer survival.. PubMed. 5(11). 3454–9. 41 indexed citations
6.
Arribas, Rosa, et al.. (1998). Moderate amplifications of the c-myc gene correlate with molecular and clinicopathological parameters in colorectal cancer. British Journal of Cancer. 77(12). 2349–2356. 31 indexed citations
7.
Arribas, Rosa, Gabriel Capellá, Silvia Tórtola, et al.. (1997). Assessment of genomic damage in colorectal cancer by DNA fingerprinting: prognostic applications.. Journal of Clinical Oncology. 15(10). 3230–3240. 44 indexed citations
8.

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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