Guillem Rigaill

14 papers and 600 indexed citations i.

About

Guillem Rigaill is a scholar working on Molecular Biology, Genetics and Statistics and Probability. According to data from OpenAlex, Guillem Rigaill has authored 14 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Statistics and Probability. Recurrent topics in Guillem Rigaill’s work include Gene expression and cancer classification (8 papers), Genomic variations and chromosomal abnormalities (5 papers) and Statistical Methods and Inference (5 papers). Guillem Rigaill is often cited by papers focused on Gene expression and cancer classification (8 papers), Genomic variations and chromosomal abnormalities (5 papers) and Statistical Methods and Inference (5 papers). Guillem Rigaill collaborates with scholars based in France, United States and Morocco. Guillem Rigaill's co-authors include Emmanuel Barillot, Tatiana Popova, Élodie Manié, Dominique Stoppa‐Lyonnet, Marc‐Henri Stern, Renaud Poincloux, Graça Raposo, Floria Lizárraga, Guillaume Montagnac and Isabelle Bonne and has published in prestigious journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Guillem Rigaill i

Fields of papers citing papers by Guillem Rigaill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guillem Rigaill

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025