Rosa‐Ana Risques

8 papers receiving 1.2k citations

Hit Papers

Genetic clonal diversity predicts progression to esophageal adenocarcinoma 2006 · 517 citations
5170+6+13Years since publication100200300400500

Peers

Rosa‐Ana Risques
Comparison fields: 5 of 84
  • Cancer Research 548
  • Aging 39
  • Pathology and Forensic Medicine 203
  • Modeling and Simulation 49
  • Oncology 262
Replace Jennifer C. Finley with:
Jennifer C. Finley United States
Sara Widaa United Kingdom
Henry Lee-Six United Kingdom
Kerstin Haase Germany
Kenta Kawasaki Japan
Celina M. D’Cruz United States
Ruping Sun United States
Marco L. Leung United States
Shannon R. Payne United States
Sander R. van Hooff Netherlands
Rosa‐Ana Risques relative to Jennifer C. Finley United States Jennifer C. Finley's profile →
Citations per field
00.5×3.9×
Jennifer C. Finley · 1×
Citations per year

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-authors

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

All Works

8 of 8 papers shown
#Work
1
Genetic clonal diversity predicts progression to esophageal adenocarcinoma
Hit paper breakdown →
2006517
2 2014314
3 2006243
4 201373
5 200124
6 200411
7
Common genetic evolutionary pathways in familial adenomatous polyposis tumors.
200310
8 19994

About Rosa‐Ana Risques

Rosa‐Ana Risques is a scholar working on Pathology and Forensic Medicine, Cancer Research, Oncology, Molecular Biology and Surgery, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Genetic factors in colorectal cancer (6 papers), Colorectal Cancer Treatments and Studies (3 papers), Epigenetics and DNA Methylation (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Molecular Biology Techniques and Applications (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Cancer Research (548 citations), Aging (39 citations), Pathology and Forensic Medicine (203 citations), Modeling and Simulation (49 citations) and Oncology (262 citations). Rosa‐Ana Risques has collaborated with scholars based in Spain, United States and Canada. Frequent co-authors include Peter S. Rabinovitch, Patricia C. Galipeau, Jennifer C. Finley, Brian J. Reid, Thomas G. Paulson, Patricia L. Blount, Carlo C. Maley, Xiaohong Li, Carissa A. Sanchez and Jesse J. Salk. Their work appears in journals such as Nature Genetics, Cancer Letters, Laboratory Investigation, Oncogene and Nature Protocols.

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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