Caroline Le Gall

1.6k citations
10 papers · 1.0k indexed · 1 hit paper · h-index 7

Caroline Le Gall

10 papers receiving 1.0k citations

Hit Papers

A comprehensive evaluation of normalization methods for I...8602012202620162021250500750

Peers

Caroline Le Gall
Comparison fields: 5 of 124
  • Cancer Research 190
  • Molecular Biology 666
  • Aging 10
  • Immunology 99
  • Genetics 98
Replace Marine Jeanmougin with:
Marine Jeanmougin Norway
Guillemette Marot France
John A. Dawson United States
Samad Lotia United States
Kunxian Shu China
Alexander Sherstnev United Kingdom
Alexander Sturn Austria
Marta Grzelak United Kingdom
Mingze Bai China
Pedro Furió‐Tarí Spain
Caroline Le Gall relative to Marine Jeanmougin Norway Marine Jeanmougin's profile →
Citations per field
00.5×1.5×
Marine Jeanmougin · 1×
Citations per year

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

The 25 scholars most cited alongside Caroline Le Gall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Caroline Le Gall Line = papers co-authored together Caroline Le Gall links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20221
2 20173
3 201544
4 201412
5 201420
6 201251
7
A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysisbreakdown →
2012860
8
Integration and variable selection of ‘omics’ data sets with PLS: a survey
20118
9 20064
10 200321

About Caroline Le Gall

Caroline Le Gall is a scholar working on Statistics, Probability and Uncertainty, Nephrology and Biochemistry, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Genomics and Phylogenetic Studies (2 papers), Advanced Statistical Process Monitoring (2 papers), Foot and Ankle Surgery (1 paper), Tendon Structure and Treatment (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Pluripotent Stem Cells Research (1 paper) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). The work is most often cited by research in Cancer Research (190 citations), Molecular Biology (666 citations) and Aging (10 citations). Caroline Le Gall has collaborated with scholars based in France, United States and Australia. Frequent 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. Their work appears in journals such as Bioinformatics, PLoS ONE and Journal of Investigative Dermatology.

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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