Caroline Le Gall

1.6k total citations · 1 hit paper
10 papers, 1.0k citations indexed

About

Caroline Le Gall is a scholar working on Molecular Biology, Statistics, Probability and Uncertainty and Surgery. According to data from OpenAlex, Caroline Le Gall has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Statistics, Probability and Uncertainty and 1 paper in Surgery. Recurrent topics in Caroline Le Gall's work include Gene expression and cancer classification (3 papers), Genomics and Phylogenetic Studies (2 papers) and Advanced Statistical Process Monitoring (2 papers). Caroline Le Gall is often cited by papers focused on Gene expression and cancer classification (3 papers), Genomics and Phylogenetic Studies (2 papers) and Advanced Statistical Process Monitoring (2 papers). Caroline Le Gall collaborates with scholars based in France, United States and Australia. Caroline Le Gall's co-authors include Marie‐Agnès Dillies, David Castel, Marine Jeanmougin, Jordi Estellé, Dénis Laloë, Brigitte Schaeffer, Mickaël Guedj, Stéphane Le Crom, Julie Aubert and Nicolas Servant and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Investigative Dermatology.

In The Last Decade

Caroline Le Gall

10 papers receiving 1.0k citations

Hit Papers

A comprehensive evaluation of normalization methods for I... 2012 2026 2016 2021 2012 250 500 750

Peers

Caroline Le Gall
Samad Lotia United States
John A. Dawson United States
Xiaoman Li United States
Caroline Le Gall
Citations per year, relative to Caroline Le Gall Caroline Le Gall (= 1×) peers Guillemette Marot

Countries citing papers authored by Caroline Le Gall

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Le Gall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline Le Gall. 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 Caroline Le Gall. The network helps show where Caroline Le Gall may publish in the future.

Co-authorship network of co-authors of Caroline Le Gall

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

All Works

10 of 10 papers shown
1.
Gall, Caroline Le, et al.. (2022). Functional and radiological outcome of subtalar arthroereisis for flexible pes planovalgus in children: A retrospective analysis. Orthopaedics & Traumatology Surgery & Research. 110(5). 103488–103488. 1 indexed citations
2.
Valsesia, Armand, Caroline Le Gall, Claudia Armenise, et al.. (2017). Multiple hot-deck imputation for network inference from RNA sequencing data. Bioinformatics. 34(10). 1726–1732. 3 indexed citations
3.
Pappas, Derek, Pierre‐Antoine Gourraud, Caroline Le Gall, et al.. (2015). Proceedings: Human Leukocyte Antigen Haplo-Homozygous Induced Pluripotent Stem Cell Haplobank Modeled After the California Population: Evaluating Matching in a Multiethnic and Admixed Population. Stem Cells Translational Medicine. 4(5). 413–418. 44 indexed citations
4.
Montastier, Émilie, Sébastien Dejean, Caroline Le Gall, et al.. (2014). Adipose Tissue CIDEA Is Associated, Independently of Weight Variation, to Change in Insulin Resistance during a Longitudinal Weight Control Dietary Program in Obese Individuals. PLoS ONE. 9(7). e98707–e98707. 12 indexed citations
5.
Lacroix, Chrystelle, Cécile Caubet, Anne Gonzalez de Peredo, et al.. (2014). Label-free Quantitative Urinary Proteomics Identifies the Arginase Pathway as a New Player in Congenital Obstructive Nephropathy. Molecular & Cellular Proteomics. 13(12). 3421–3434. 20 indexed citations
6.
Gourraud, Pierre‐Antoine, Caroline Le Gall, E. Puzenat, et al.. (2012). Why Statistics Matter: Limited Inter-Rater Agreement Prevents Using the Psoriasis Area and Severity Index as a Unique Determinant of Therapeutic Decision in Psoriasis. Journal of Investigative Dermatology. 132(9). 2171–2175. 51 indexed citations
7.
Dillies, Marie‐Agnès, Andréa Rau, Julie Aubert, et al.. (2012). A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis. Briefings in Bioinformatics. 14(6). 671–683. 860 indexed citations breakdown →
8.
Cao, Kim‐Anh Lê & Caroline Le Gall. (2011). Integration and variable selection of ‘omics’ data sets with PLS: a survey. Queensland's institutional digital repository (The University of Queensland). 152(2). 77–96. 8 indexed citations
9.
Besse, Philippe & Caroline Le Gall. (2006). Application and Reliability of Change-Point Analyses for Detecting a Defective Stage in Integrated Circuit Manufacturing. Communications in Statistics - Simulation and Computation. 35(2). 479–496. 4 indexed citations
10.
Gall, Caroline Le, et al.. (2003). Yield improvement using statistical analysis of process dates. IEEE Transactions on Semiconductor Manufacturing. 16(3). 535–542. 21 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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