Roxane Legaie

1.7k total citations
8 papers, 125 citations indexed

About

Roxane Legaie is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Roxane Legaie has authored 8 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Roxane Legaie's work include Cancer Genomics and Diagnostics (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Molecular Biology Techniques and Applications (2 papers). Roxane Legaie is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Molecular Biology Techniques and Applications (2 papers). Roxane Legaie collaborates with scholars based in Australia, United Kingdom and New Zealand. Roxane Legaie's co-authors include Jonathan D. Moore, David A. Hodgson, Alexander Wentzel, Edward Morrissey, Antonio Rodríguez‐García, Margaret C. M. Smith, Kay Nieselt, Nigel J. Burroughs, Louise Thomas and Juan F. Martı́n and has published in prestigious journals such as Blood, Scientific Reports and British Journal of Cancer.

In The Last Decade

Roxane Legaie

7 papers receiving 124 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roxane Legaie Australia	5	81	32	28	18	14	8	125
Dahlia Kasimer Canada	7	123 1.5×	9 0.3×	37 1.3×	28 1.6×	53 3.8×	7	189
Adhish S. Walvekar India	9	181 2.2×	7 0.2×	26 0.9×	14 0.8×	15 1.1×	16	230
Aristeidis Sfakianos United Kingdom	8	262 3.2×	14 0.4×	14 0.5×	34 1.9×	8 0.6×	9	297
Patrick L. McAlpine Spain	5	105 1.3×	8 0.3×	10 0.4×	7 0.4×	21 1.5×	6	147
Françoise Ochsenbein France	6	209 2.6×	6 0.2×	29 1.0×	12 0.7×	22 1.6×	7	221
Martin Převorovský Czechia	10	213 2.6×	8 0.3×	21 0.8×	14 0.8×	9 0.6×	31	254
Tianlai Shi Switzerland	6	284 3.5×	13 0.4×	40 1.4×	18 1.0×	27 1.9×	7	334
Soak-Kuan Lai Singapore	7	233 2.9×	5 0.2×	25 0.9×	17 0.9×	11 0.8×	9	264
C. Denise Appel United States	9	277 3.4×	14 0.4×	15 0.5×	27 1.5×	70 5.0×	11	304
Andrea Panza Italy	4	354 4.4×	14 0.4×	61 2.2×	49 2.7×	7 0.5×	6	413

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-authorship network of co-authors of Roxane Legaie

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

All Works

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8 of 8 papers shown

1.

McEvoy, Christopher R., Catherine Mitchell, Owen W.J. Prall, et al.. (2025). The implementation of an RNA-based gene fusion assay into a diagnostic oncology department: an Australian perspective. Pathology. 57(5). 643–649.

2.

Dowling, Mark R., Javad Saghebi, Roxane Legaie, et al.. (2023). Clinical Utility of Circulating Tumor (ct)DNA Quantity and Kinetics in Patients Undergoing CAR T-Cell Therapy for Relapsed/Refractory Aggressive B-Cell Lymphoma. Blood. 142(Supplement 1). 7160–7160. 1 indexed citations

3.

Markham, John, Andrew Fellowes, Thomas Green, et al.. (2022). Predicting response to immune checkpoint blockade in NSCLC with tumour-only RNA-seq. British Journal of Cancer. 128(6). 1148–1154. 3 indexed citations

4.

Legaie, Roxane, Stacey J. Ellery, Trevor Wilson, et al.. (2017). De novo transcriptome assembly for the spiny mouse (Acomys cahirinus). Scientific Reports. 7(1). 8996–8996. 24 indexed citations

5.

Donovan, Prudence, Kathleen Cato, Roxane Legaie, et al.. (2014). Hyperdiploid tumor cells increase phenotypic heterogeneity within Glioblastoma tumors. Molecular BioSystems. 10(4). 741–758. 25 indexed citations

6.

Thomas, Louise, David A. Hodgson, Alexander Wentzel, et al.. (2011). Metabolic Switches and Adaptations Deduced from the Proteomes of Streptomyces coelicolor Wild Type and phoP Mutant Grown in Batch Culture. Molecular & Cellular Proteomics. 11(2). M111.013797–M111.013797. 54 indexed citations

7.

Hassani‐Pak, Keywan, et al.. (2010). Enhancing Data Integration with Text Analysis to Find Proteins Implicated in Plant Stress Response. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 7(3). 8 indexed citations

8.

Hassani‐Pak, Keywan, et al.. (2010). Enhancing Data Integration with Text Analysis to Find Proteins Implicated in Plant Stress Response. PubMed. 7(3). 10 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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