Guillem Rigaill

49 total papers · 1.1k total citations
15 papers, 630 citations indexed

About

Guillem Rigaill is a scholar working on Molecular Biology, Genetics and Statistics and Probability. According to data from OpenAlex, Guillem Rigaill has authored 15 papers receiving a total of 630 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), Statistical Methods and Inference (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). Guillem Rigaill is often cited by papers focused on Gene expression and cancer classification (8 papers), Statistical Methods and Inference (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). Guillem Rigaill collaborates with scholars based in France, United States and United Kingdom. Guillem Rigaill's co-authors include Emmanuel Barillot, Dominique Stoppa‐Lyonnet, Marc‐Henri Stern, Élodie Manié, Tatiana Popova, Floria Lizárraga, Isabelle Bonne, Philippe Chavrier, Gaëlle Le Dez and Stéphane Robin and has published in prestigious journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

Guillem Rigaill

14 papers receiving 613 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Guillem Rigaill 244 175 174 122 74 15 630
Kamil Erguler 211 0.9× 46 0.3× 68 0.4× 61 0.5× 33 0.4× 22 689
Živana Težak 448 1.8× 110 0.6× 169 1.0× 40 0.3× 18 0.2× 21 772
Nikolaos Ignatiadis 296 1.2× 90 0.5× 78 0.4× 40 0.3× 77 1.0× 11 554
Claudia Bredel 505 2.1× 237 1.4× 79 0.5× 60 0.5× 7 0.1× 9 710
Ingrid Lönnstedt 559 2.3× 66 0.4× 176 1.0× 21 0.2× 61 0.8× 17 788
Andreas Voß 238 1.0× 129 0.7× 28 0.2× 26 0.2× 5 0.1× 44 653
Yafei Wang 261 1.1× 155 0.9× 27 0.2× 70 0.6× 6 0.1× 32 578
Ke Yuan 253 1.0× 161 0.9× 67 0.4× 17 0.1× 7 0.1× 51 606
James H. Wright 417 1.7× 101 0.6× 92 0.5× 29 0.2× 9 0.1× 19 756
Raphaël Thuret 492 2.0× 39 0.2× 78 0.4× 75 0.6× 3 0.0× 17 630

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).

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.

Co-authorship network of co-authors of Guillem Rigaill

This figure shows the co-authorship network connecting the top 25 collaborators of Guillem Rigaill. A scholar is included among the top collaborators of Guillem Rigaill 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 Guillem Rigaill. Guillem Rigaill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026