Pierre Neuvial

116 total papers · 12.3k total citations
33 papers, 531 citations indexed

About

Pierre Neuvial is a scholar working on Molecular Biology, Statistics and Probability and Genetics. According to data from OpenAlex, Pierre Neuvial has authored 33 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Statistics and Probability and 8 papers in Genetics. Recurrent topics in Pierre Neuvial's work include Gene expression and cancer classification (12 papers), Statistical Methods and Inference (9 papers) and Statistical Methods in Clinical Trials (9 papers). Pierre Neuvial is often cited by papers focused on Gene expression and cancer classification (12 papers), Statistical Methods and Inference (9 papers) and Statistical Methods in Clinical Trials (9 papers). Pierre Neuvial collaborates with scholars based in France, United States and Spain. Pierre Neuvial's co-authors include Henrik Bengtsson, Emmanuel Barillot, Sandrine Dudoit, Laurent Jacob, Nathalie Vialaneix, Philippe Hupé, François Radvanyi, Terence P. Speed, Paul T. Spellman and Venkatraman Seshan and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Pierre Neuvial

32 papers receiving 526 citations

Author Peers

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

Author Last Decade Papers Cites
Pierre Neuvial 276 159 142 65 47 33 531
Nikolaos Ignatiadis 296 1.1× 78 0.5× 90 0.6× 77 1.2× 122 2.6× 11 554
Lorin Crawford 292 1.1× 173 1.1× 56 0.4× 9 0.1× 74 1.6× 39 584
Miranda van Uitert 196 0.7× 48 0.3× 84 0.6× 29 0.4× 36 0.8× 23 594
Mayetri Gupta 276 1.0× 59 0.4× 51 0.4× 44 0.7× 21 0.4× 24 456
George A. Komatsoulis 350 1.3× 67 0.4× 63 0.4× 15 0.2× 75 1.6× 28 615
Pasquale De Blasio 196 0.7× 73 0.5× 122 0.9× 7 0.1× 89 1.9× 32 547
Marco Giordan 263 1.0× 19 0.1× 60 0.4× 56 0.9× 82 1.7× 31 582
Wiebke Werft 295 1.1× 36 0.2× 136 1.0× 31 0.5× 123 2.6× 17 577
Lori Shepherd 249 0.9× 60 0.4× 115 0.8× 15 0.2× 87 1.9× 25 465
Serena G. Liao 243 0.9× 57 0.4× 125 0.9× 31 0.5× 129 2.7× 19 520

Countries citing papers authored by Pierre Neuvial

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Neuvial

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Neuvial

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Neuvial. A scholar is included among the top collaborators of Pierre Neuvial 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 Pierre Neuvial. Pierre Neuvial 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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