Guillem Rigaill

2.4k citations

41 papers · 1.4k indexed · h-index 19

Co-authors: Paul Fearnhead Thierry Dubois Anne Vincent‐Salomon Virginie Maire Toby Dylan Hocking Marc‐Henri Stern Robert Maidstone Gordon C. Tucker
Topics: Gene expression and cancer classification (14 papers)Bioinformatics and Genomic Networks (6 papers)Genomics and Phylogenetic Studies (5 papers)
Cited by: Statistics and Probability Cancer Research Molecular Biology
Journals: Proceedings of the National Academy of Sciences Nucleic Acids Research Journal of the American Statistical Association
Partner nations: France United Kingdom United States

In The Last Decade

Guillem Rigaill

40 papers receiving 1.4k citations

Peers

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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20 of 20 papers shown

#	Work	Indexed citations
1	DiffSegR: an RNA-seq data driven method for differential expression analysis using changepoint detection 2023 ·NAR Genomics and Bioinformatics ·(unknown),Étienne Delannoy,(unknown),Elodie Gilbault,Olivier Loudet,Benoît Castandet,Guillem Rigaill	2
2	Adjusting the adjusted Rand Index 2022 ·Computational Statistics ·(unknown),Julien Chiquet,Guillem Rigaill	14
3	Strive or thrive: Trends in Phytophthora capsici gene expression in partially resistant pepper 2022 ·Frontiers in Plant Science ·(unknown),Emmanuel Szadkowski,(unknown),Véronique Brunaud,Guillem Rigaill,Bernard Caromel,Joël Chadœuf,(unknown),(unknown),Ingo Hein,Kurt Lamour,Sandrine Balzergue,Véronique Lefèbvre	3
4	Genome-Wide Identification of Key Components of RNA Silencing in Two Phaseolus vulgaris Genotypes of Contrasting Origin and Their Expression Analyses in Response to Fungal Infection 2021 ·Genes ·(unknown),Manon Richard,Vincent Thareau,(unknown),(unknown),Guillem Rigaill,Stéphanie Pflieger,Ariane Gratias,Valérie Geffroy	7
5	Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models 2021 ·BMC Bioinformatics ·(unknown),Guillem Rigaill,Toby Dylan Hocking	3
6	Wide cross‐species RNA‐Seq comparison reveals convergent molecular mechanisms involved in nickel hyperaccumulation across dicotyledons 2020 ·New Phytologist ·Vanesa S. García de la Torre,Clarisse Majorel,Guillem Rigaill,(unknown),Ludivine Soubigou‐Taconnat,Yohan Pillon,(unknown),Sébastien Thomine,Bruno Fogliani,Valérie Burtet‐Sarramegna,Sylvain Merlot	28
7	Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise 2020 ·arXiv (Cornell University) ·(unknown),Guillem Rigaill,(unknown),Paul Fearnhead	19
8	Fast tree aggregation for consensus hierarchical clustering 2020 ·BMC Bioinformatics ·(unknown),Julien Chiquet,Florence Jaffrézic,Guillem Rigaill	12
9	Adjacency-constrained hierarchical clustering of a band similarity\n matrix with application to Genomics 2019 ·arXiv (Cornell University) ·Christophe Ambroise,(unknown),Pierre Neuvial,Guillem Rigaill,Nathalie Vialaneix	16
10	Protein arginine methyltransferase 5: A novel therapeutic target for triple‐negative breast cancers 2019 ·Cancer Medicine ·(unknown),(unknown),Virginie Maire,(unknown),Fariba Némati,Laëtitia Lesage,Fabienne Pierre,Mengliang Ye,(unknown),(unknown),Didier Meseure,Nicolás André,Guillem Rigaill,Elisabetta Marangoni,Elaine Del Nery,Sergio Roman‐Roman,Thierry Dubois	57
11	Screening populations for copy number variation using genotyping-by-sequencing: a proof of concept using soybean fast neutron mutants 2019 ·BMC Genomics ·(unknown),Davoud Torkamaneh,Guillem Rigaill,Brian Boyle,Adrian O. Stec,Robert M. Stupar,François Belzile	4
12	Bioinformatic Analysis of Chloroplast Gene Expression and RNA Posttranscriptional Maturations Using RNA Sequencing 2018 ·Methods in molecular biology ·(unknown),Guillem Rigaill,Véronique Brunaud,Claire Lurin,Étienne Delannoy	11
13	A Multiattribute Gaussian Graphical Model for Inferring Multiscale Regulatory Networks: An Application in Breast Cancer 2018 ·Methods in molecular biology ·Julien Chiquet,Guillem Rigaill,(unknown)	9
14	Unraveling the early molecular and physiological mechanisms involved in response to phenanthrene exposure 2016 ·BMC Genomics ·(unknown),Ludivine Taconnat,Evangelos Barbas,Guillem Rigaill,Olivier Catrice,Delphine Bernard,Abdelilah Benamar,David Macherel,Abdelhak El Amrani,Richard Berthomé	21
15	Transcriptome Analysis of Wnt3a-Treated Triple-Negative Breast Cancer Cells 2015 ·PLoS ONE ·Sylvie Maubant,Bruno Tesson,Virginie Maire,Mengliang Ye,Guillem Rigaill,David Gentien,Francisco Cruzalegui,Gordon C. Tucker,Sergio Roman‐Roman,Thierry Dubois	61
16	GEM2Net: from gene expression modeling to -omics networks, a new CATdb module to investigate Arabidopsis thaliana genes involved in stress response 2014 ·Nucleic Acids Research ·(unknown),(unknown),Cécile Guichard,(unknown),Guillem Rigaill,Étienne Delannoy,Jean‐Pierre Renou,Sandrine Balzergue,Tristan Mary‐Huard,Sébastien Aubourg,Marie‐Laure Martin‐Magniette,Véronique Brunaud	10
17	Identifying subgroup markers in heterogeneous populations 2013 ·Nucleic Acids Research ·Jorma J. de Ronde,Guillem Rigaill,Sven Rottenberg,Sjoerd Rodenhuis,Lodewyk F.A. Wessels	16
18	TTK/hMPS1 Is an Attractive Therapeutic Target for Triple-Negative Breast Cancer 2013 ·PLoS ONE ·Virginie Maire,Céline Baldeyron,Marion Richardson,Bruno Tesson,Anne Vincent‐Salomon,Eléonore Gravier,Bérengère Marty-Prouvost,Leanne de Koning,Guillem Rigaill,Aurélie Dumont,David Gentien,Emmanuel Barillot,Sergio Roman‐Roman,Stéphane Depil,Francisco Cruzalegui,Alain Pierré,Gordon C. Tucker,Thierry Dubois	119
19	A Generic Implementation of the Pruned Dynamic Programing Algorithm 2012 ·arXiv (Cornell University) ·Alice Cleynen,(unknown),Guillem Rigaill	4
20	Frequent PTEN genomic alterations and activated phosphatidylinositol 3-kinase pathway in basal-like breast cancer cells 2008 ·Breast Cancer Research ·(unknown),Virginie Maire,Eléonore Gravier,Guillem Rigaill,Anne Vincent‐Salomon,(unknown),Ingrid Lebigot,(unknown),(unknown),Pierre Gestraud,Philippe Hupé,Emmanuel Barillot,Francisco Cruzalegui,Gordon C. Tucker,Marc‐Henri Stern,Jean Paul Thiery,John A. Hickman,Thierry Dubois	170

About Guillem Rigaill

Guillem Rigaill is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gene expression and cancer classification (14 papers), Bioinformatics and Genomic Networks (6 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Statistics and Probability (146 citations), Cancer Research (243 citations) and Molecular Biology (791 citations). Guillem Rigaill has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Paul Fearnhead, Thierry Dubois, Anne Vincent‐Salomon, Virginie Maire, Toby Dylan Hocking, Marc‐Henri Stern, Robert Maidstone, Gordon C. Tucker, Francisco Cruzalegui and Étienne Delannoy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of the American Statistical Association.

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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