Roxane Legaie

1.8k citations
9 papers · 130 · h-index 5

Impact in

Papers in

    • Bioinformatics and Genomic Networks 2
    • Genomics and Phylogenetic Studies 2
    • Biomedical Text Mining and Ontologies 2
    • Molecular Biology Techniques and Applications 2
    • Genetics, Bioinformatics, and Biomedical Research 2
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • CAR-T cell therapy research 1

Roxane Legaie

7 papers receiving 129 citations

Peers

Roxane Legaie
Comparison fields: 5 of 48
  • Pharmacology 30
  • Cancer Research 18
  • Molecular Biology 70
  • Cell Biology 14
  • Plant Science 26
Replace Thuy Minh Nguyen with:
Thuy Minh Nguyen Japan
Ze‐Shiang Lin United States
Dahlia Kasimer Canada
Qiongqiong Wu China
Hanane Ennajdaoui United States
Srividya Vaidyanathan Australia
Stefanie Etzold Germany
Adhish S. Walvekar India
Consuelo J. Alvarez United States
Roxane Legaie relative to Thuy Minh Nguyen Japan Thuy Minh Nguyen's profile →
Citations per field
00.5×3.3×
Thuy Minh Nguyen · 1×
Citations per year

Countries citing papers authored by Roxane Legaie

Since Specialization
Citations

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

Fields of papers citing papers by Roxane Legaie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roxane Legaie, 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 Roxane Legaie Line = papers co-authored together Roxane Legaie links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201155
2 201427
3 201726
4 201010
5 20108
6 20223
7 20231
8 20250
9 20250

About Roxane Legaie

Roxane Legaie is a scholar working on Molecular Biology, Oncology, Cancer Research, Organic Chemistry and Surgery, having authored 9 papers that have together received 130 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Phylogenetic Studies (2 papers), Biomedical Text Mining and Ontologies (2 papers), Molecular Biology Techniques and Applications (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), CAR-T cell therapy research (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Pharmacology (30 citations), Cancer Research (18 citations), Molecular Biology (70 citations), Cell Biology (14 citations) and Plant Science (26 citations). Roxane Legaie has collaborated with scholars based in Australia, United Kingdom and Germany. Frequent co-authors include Jonathan D. Moore, Antonio Rodríguez‐García, Edward Morrissey, Wolfgang Wohlleben, Margaret C. M. Smith, Elizabeth M. H. Wellington, Trond E. Ellingsen, Kay Nieselt, Louise Thomas and Alexander Wentzel. Their work appears in journals such as Journal of Molecular Diagnostics, Molecular BioSystems, Blood, Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics and Molecular & Cellular Proteomics.

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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