Rosa‐Ana Risques

1.7k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Rosa‐Ana Risques is a scholar working on Pathology and Forensic Medicine, Cancer Research and Oncology. According to data from OpenAlex, Rosa‐Ana Risques has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 6 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Rosa‐Ana Risques's work include Cancer Genomics and Diagnostics (6 papers), Genetic factors in colorectal cancer (6 papers) and Colorectal Cancer Treatments and Studies (3 papers). Rosa‐Ana Risques is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Genetic factors in colorectal cancer (6 papers) and Colorectal Cancer Treatments and Studies (3 papers). Rosa‐Ana Risques collaborates with scholars based in Spain, United States and Canada. Rosa‐Ana Risques's co-authors include Peter S. Rabinovitch, Patricia L. Blount, Patricia C. Galipeau, Carissa A. Sanchez, Brian J. Reid, Carlo C. Maley, Jennifer C. Finley, Xiaohong Li, Thomas G. Paulson and Scott R. Kennedy and has published in prestigious journals such as Nature Genetics, Cancer Research and Oncogene.

In The Last Decade

Rosa‐Ana Risques

8 papers receiving 1.2k citations

Hit Papers

Genetic clonal diversity predicts progression to esophage... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rosa‐Ana Risques Spain 7 629 548 262 203 203 8 1.2k
Jennifer C. Finley United States 6 352 0.6× 300 0.5× 213 0.8× 129 0.6× 170 0.8× 7 961
Sara Widaa United Kingdom 3 762 1.2× 632 1.2× 354 1.4× 159 0.8× 266 1.3× 3 1.3k
Henry Lee-Six United Kingdom 8 566 0.9× 534 1.0× 362 1.4× 185 0.9× 171 0.8× 14 1.1k
Kerstin Haase Germany 11 1.1k 1.8× 1.1k 1.9× 544 2.1× 255 1.3× 436 2.1× 20 2.0k
Ruping Sun United States 12 613 1.0× 619 1.1× 257 1.0× 122 0.6× 172 0.8× 20 1.1k
Kenta Kawasaki Japan 14 516 0.8× 413 0.8× 1.1k 4.1× 126 0.6× 101 0.5× 37 1.6k
Marco L. Leung United States 7 939 1.5× 948 1.7× 499 1.9× 151 0.7× 222 1.1× 21 1.4k
Marcin Krzystanek Denmark 15 733 1.2× 611 1.1× 753 2.9× 157 0.8× 209 1.0× 21 1.4k
Collin Tokheim United States 16 912 1.4× 494 0.9× 343 1.3× 104 0.5× 179 0.9× 20 1.3k
Celina M. D’Cruz United States 16 1.1k 1.7× 299 0.5× 688 2.6× 230 1.1× 265 1.3× 38 1.8k

Countries citing papers authored by Rosa‐Ana Risques

Since Specialization
Citations

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

Fields of papers citing papers by Rosa‐Ana Risques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosa‐Ana Risques

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa‐Ana Risques. A scholar is included among the top collaborators of Rosa‐Ana Risques 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‐Ana Risques. Rosa‐Ana Risques 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.
Kennedy, Scott R., Michael W. Schmitt, Edward Fox, et al.. (2014). Detecting ultralow-frequency mutations by Duplex Sequencing. Nature Protocols. 9(11). 2586–2606. 314 indexed citations
2.
Mason, Caitlin, Rosa‐Ana Risques, Liren Xiao, et al.. (2013). Independent and combined effects of dietary weight loss and exercise on leukocyte telomere length in postmenopausal women. Obesity. 21(12). E549–54. 73 indexed citations
3.
Rodríguez, Jairo, Jordi Frigola, Elisenda Vendrell, et al.. (2006). Chromosomal Instability Correlates with Genome-wide DNA Demethylation in Human Primary Colorectal Cancers. Cancer Research. 66(17). 8462–9468. 243 indexed citations
4.
Maley, Carlo C., Patricia C. Galipeau, Jennifer C. Finley, et al.. (2006). Genetic clonal diversity predicts progression to esophageal adenocarcinoma. Nature Genetics. 38(4). 468–473. 517 indexed citations breakdown →
5.
Vendrell, Elisenda, Cristina Morales, Rosa‐Ana Risques, Gabriel Capellá, & Miguel A. Peinado. (2004). Genomic determinants of prognosis in colorectal cancer. Cancer Letters. 221(1). 1–9. 11 indexed citations
6.
Tarafa, Gemma, Esther Prat, Rosa‐Ana Risques, et al.. (2003). Common genetic evolutionary pathways in familial adenomatous polyposis tumors.. PubMed. 63(18). 5731–7. 10 indexed citations
7.
Risques, Rosa‐Ana, Vı́ctor Moreno, Eugenio Marcuello, et al.. (2001). Redefining the Significance of Aneuploidy in the Prognostic Assessment of Colorectal Cancer. Laboratory Investigation. 81(3). 307–315. 24 indexed citations
8.
Tórtola, Silvia, Eugenio Marcuello, Rosa‐Ana Risques, et al.. (1999). Overall deregulation in gene expression as a novel indicator of tumor aggressiveness in colorectal cancer. Oncogene. 18(30). 4383–4387. 4 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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