Grégory Nuel

1.6k total citations
58 papers, 758 citations indexed

About

Grégory Nuel is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Grégory Nuel has authored 58 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 19 papers in Artificial Intelligence and 13 papers in Genetics. Recurrent topics in Grégory Nuel's work include Gene expression and cancer classification (11 papers), Algorithms and Data Compression (9 papers) and Genetic Associations and Epidemiology (7 papers). Grégory Nuel is often cited by papers focused on Gene expression and cancer classification (11 papers), Algorithms and Data Compression (9 papers) and Genetic Associations and Epidemiology (7 papers). Grégory Nuel collaborates with scholars based in France, United States and Italy. Grégory Nuel's co-authors include Mickaël Guedj, Aurélien de Reyniès, Marine Jeanmougin, Caroline Paccard, Laëtitia Marisa, André Garcia, Anne‐Claude Camproux, Juliette Martin, Leslie Regad and Eiliv Lund and has published in prestigious journals such as PLoS ONE, Neurology and Scientific Reports.

In The Last Decade

Grégory Nuel

56 papers receiving 742 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Grégory Nuel France 17 389 110 97 77 72 58 758
Jasmin Bachmann Germany 4 467 1.2× 89 0.8× 67 0.7× 52 0.7× 53 0.7× 6 1.0k
Zhenqiu Liu United States 18 565 1.5× 84 0.8× 111 1.1× 47 0.6× 65 0.9× 48 1.1k
Li Li Hsiao United States 7 679 1.7× 135 1.2× 226 2.3× 223 2.9× 67 0.9× 8 1.4k
Dhammika Amaratunga United States 13 486 1.2× 106 1.0× 99 1.0× 18 0.2× 67 0.9× 49 1.0k
Xiaobai Zhang China 17 582 1.5× 63 0.6× 21 0.2× 54 0.7× 52 0.7× 44 858
Chen‐An Tsai Taiwan 20 681 1.8× 119 1.1× 104 1.1× 20 0.3× 34 0.5× 45 1.1k
Xiaojing Zheng United States 20 763 2.0× 100 0.9× 80 0.8× 45 0.6× 253 3.5× 67 1.5k
G. Bellu Italy 7 251 0.6× 66 0.6× 29 0.3× 50 0.6× 18 0.3× 9 643
Kousuke Tashiro Japan 17 692 1.8× 84 0.8× 60 0.6× 29 0.4× 62 0.9× 29 1.0k
Cliburn Chan United States 15 303 0.8× 34 0.3× 132 1.4× 40 0.5× 221 3.1× 56 855

Countries citing papers authored by Grégory Nuel

Since Specialization
Citations

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

Fields of papers citing papers by Grégory Nuel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grégory Nuel

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

All Works

20 of 20 papers shown
1.
Nuel, Grégory, et al.. (2024). Spline regression with automatic knot selection. Computational Statistics & Data Analysis. 202. 108043–108043.
2.
Wuillemin, Pierre-Henri, et al.. (2023). Gaussian Mixture Models in R. The R Journal. 15(2). 56–76. 2 indexed citations
3.
Alarcon, Flora, Violaine Planté‐Bordeneuve, & Grégory Nuel. (2023). Study of the parent-of-origin effect in monogenic diseases with variable age of onset. Application on ATTRv. PLoS ONE. 18(8). e0288958–e0288958. 2 indexed citations
4.
Cisneros‐Barroso, Eugenia, Flora Alarcon, Grégory Nuel, et al.. (2023). Disease risk estimates in V30M variant transthyretin amyloidosis (A-ATTRv) from Mallorca. Orphanet Journal of Rare Diseases. 18(1). 255–255. 1 indexed citations
5.
Hamzaoui, Nadim, Flora Alarcon, Nicolas Leulliot, et al.. (2020). Genetic, structural, and functional characterization of POLE polymerase proofreading variants allows cancer risk prediction. Genetics in Medicine. 22(9). 1533–1541. 15 indexed citations
6.
Ribeiro‐Parenti, Lara, Nicholas D. Nguyen, Muriel Hourseau, et al.. (2020). Long-term consequences of one anastomosis gastric bypass on esogastric mucosa in a preclinical rat model. Scientific Reports. 10(1). 7393–7393. 8 indexed citations
7.
Flatters, Delphine, et al.. (2018). SAFlex: A structural alphabet extension to integrate protein structural flexibility and missing data information. PLoS ONE. 13(7). e0198854–e0198854. 1 indexed citations
8.
9.
Hartmann, Alexander K. & Grégory Nuel. (2017). Using Triplet Ordering Preferences for Estimating Causal Effects in the Analysis of Gene Expression Data. PLoS ONE. 12(1). e0170514–e0170514. 1 indexed citations
10.
Hammami, Imen, Grégory Nuel, & André Garcia. (2013). Statistical Properties of Parasite Density Estimators in Malaria. PLoS ONE. 8(3). e51987–e51987. 7 indexed citations
11.
Hartmann, Alexander K., et al.. (2012). Computing Posterior Probabilities for Score-based Alignments Using ppALIGN. Statistical Applications in Genetics and Molecular Biology. 11(4). Article 1–Article 1. 8 indexed citations
12.
Golzio, Christelle, Emmanuelle Havis, Philippe Daubas, et al.. (2012). ISL1 Directly Regulates FGF10 Transcription during Human Cardiac Outflow Formation. PLoS ONE. 7(1). e30677–e30677. 35 indexed citations
13.
Nuel, Grégory & Jean‐Guillaume Dumas. (2012). Sparse approaches for the exact distribution of patterns in long state sequences generated by a Markov source. Theoretical Computer Science. 479. 22–42. 1 indexed citations
14.
Zaki, Nazar, et al.. (2011). Conotoxin protein classification using free scores of words and support vector machines. BMC Bioinformatics. 12(1). 217–217. 23 indexed citations
15.
Dumeaux, Vanessa, Anja Olsen, Grégory Nuel, et al.. (2010). Deciphering Normal Blood Gene Expression Variation—The NOWAC Postgenome Study. PLoS Genetics. 6(3). e1000873–e1000873. 51 indexed citations
16.
Nuel, Grégory, Leslie Regad, Juliette Martin, & Anne‐Claude Camproux. (2010). Exact distribution of a pattern in a set of random sequences generated by a Markov source: applications to biological data. Algorithms for Molecular Biology. 5(1). 15–15. 18 indexed citations
17.
Guedj, Mickaël, Stéphane Robin, Alain Célisse, & Grégory Nuel. (2009). Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation. BMC Bioinformatics. 10(1). 84–84. 19 indexed citations
18.
Nuel, Grégory. (2008). Pattern Markov Chains: Optimal Markov Chain Embedding Through Deterministic Finite Automata. Journal of Applied Probability. 45(1). 226–243. 22 indexed citations
19.
Nuel, Grégory. (2006). Effective p-value computations using Finite Markov Chain Imbedding (FMCI): application to local score and to pattern statistics. Algorithms for Molecular Biology. 1(1). 5–5. 25 indexed citations
20.
Nuel, Grégory, et al.. (2003). AMIGene: Annotation of Microbial Genes. HAL (Le Centre pour la Communication Scientifique Directe). 13(31). 3723–3726. 36 indexed citations

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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