Hamza Lasla

895 total citations
13 papers, 592 citations indexed

About

Hamza Lasla is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hamza Lasla has authored 13 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hamza Lasla's work include Breast Cancer Treatment Studies (4 papers), Bioinformatics and Genomic Networks (4 papers) and Gene expression and cancer classification (4 papers). Hamza Lasla is often cited by papers focused on Breast Cancer Treatment Studies (4 papers), Bioinformatics and Genomic Networks (4 papers) and Gene expression and cancer classification (4 papers). Hamza Lasla collaborates with scholars based in France, Australia and Netherlands. Hamza Lasla's co-authors include Pascal Jézéquel, Mario Campone, Wilfried Gouraud, Catherine Guérin‐Charbonnel, Delphine Loussouarn, Véronique Verrièle, Philippe Juin, Catherine Guette, Antoine Vanier and L. Campion and has published in prestigious journals such as Nature Communications, Oncogene and PROTEOMICS.

In The Last Decade

Hamza Lasla

12 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamza Lasla France 8 304 232 220 175 118 13 592
Yanan Wang China 16 472 1.6× 158 0.7× 357 1.6× 94 0.5× 69 0.6× 55 716
Angelo Gámez‐Pozo Spain 15 427 1.4× 169 0.7× 257 1.2× 151 0.9× 48 0.4× 51 718
Ashkan Shahbandi United States 7 231 0.8× 200 0.9× 124 0.6× 62 0.4× 112 0.9× 11 507
Simona Cristea United States 14 476 1.6× 214 0.9× 303 1.4× 90 0.5× 76 0.6× 21 699
Amr H. Allam Australia 10 193 0.6× 173 0.7× 110 0.5× 57 0.3× 62 0.5× 15 423
Daniel Bethmann Germany 14 163 0.5× 241 1.0× 101 0.5× 54 0.3× 154 1.3× 28 450
Samir Jain India 4 376 1.2× 259 1.1× 142 0.6× 52 0.3× 204 1.7× 9 666
Pedro Marques Ramos Switzerland 9 251 0.8× 161 0.7× 90 0.4× 62 0.4× 65 0.6× 18 557
Jonas Windhager Switzerland 4 367 1.2× 299 1.3× 174 0.8× 62 0.4× 258 2.2× 6 649
Daniel Roden Australia 10 431 1.4× 142 0.6× 181 0.8× 46 0.3× 163 1.4× 18 582

Countries citing papers authored by Hamza Lasla

Since Specialization
Citations

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

Fields of papers citing papers by Hamza Lasla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamza Lasla

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

All Works

13 of 13 papers shown
1.
Jézéquel, Pascal, Hamza Lasla, Wilfried Gouraud, et al.. (2024). Mesenchymal-like immune-altered is the fourth robust triple-negative breast cancer molecular subtype. Breast Cancer. 31(5). 825–840. 3 indexed citations
2.
Clavreul, Anne, Catherine Guette, Hamza Lasla, et al.. (2024). Proteomics of tumor and serum samples from isocitrate dehydrogenase‐wildtype glioblastoma patients: is the detoxification of reactive oxygen species associated with shorter survival?. Molecular Oncology. 18(11). 2783–2800. 5 indexed citations
3.
Basseville, Agnès, Wilfried Gouraud, Hamza Lasla, et al.. (2022). Brain Neural Progenitors are New Predictive Biomarkers for Breast Cancer Hormonotherapy. Cancer Research Communications. 2(8). 857–869. 2 indexed citations
4.
Morel, Olivier, Pascal Jézéquel, Hamza Lasla, et al.. (2022). Prognostic Value of Metabolic, Volumetric and Textural Parameters of Baseline [18F]FDG PET/CT in Early Triple-Negative Breast Cancer. Cancers. 14(3). 637–637. 24 indexed citations
5.
Jézéquel, Pascal, Wilfried Gouraud, Agnès Basseville, et al.. (2021). Intérêt de l’outil web bc-GenExMiner en oncologie. Bulletin du Cancer. 108(11). 1057–1064.
6.
Jézéquel, Pascal, Wilfried Gouraud, Catherine Guérin‐Charbonnel, et al.. (2021). bc-GenExMiner 4.5: new mining module computes breast cancer differential gene expression analyses. Database. 2021. 127 indexed citations
7.
Bourgeois, Nathalie, Laurent Maillet, Fabien Gautier, et al.. (2020). STING-dependent paracriny shapes apoptotic priming of breast tumors in response to anti-mitotic treatment. Nature Communications. 11(1). 259–259. 78 indexed citations
8.
Michel, Bertrand, Hamza Lasla, Wilfried Gouraud, et al.. (2020). Development of an absolute assignment predictor for triple-negative breast cancer subtyping using machine learning approaches. Computers in Biology and Medicine. 129. 104171–104171. 12 indexed citations
9.
Jézéquel, Pascal, Olivier Kerdraon, Hubert Hondermarck, et al.. (2019). Identification of three subtypes of triple-negative breast cancer with potential therapeutic implications. Breast Cancer Research. 21(1). 65–65. 76 indexed citations
10.
Jézéquel, Pascal, Catherine Guette, Hamza Lasla, et al.. (2019). iTRAQ‐Based Quantitative Proteomic Analysis Strengthens Transcriptomic Subtyping of Triple‐Negative Breast Cancer Tumors. PROTEOMICS. 19(21-22). e1800484–e1800484. 12 indexed citations
11.
Chiche, Aurélie, Mathilde Romagnoli, Valérie Petit, et al.. (2016). p53 deficiency induces cancer stem cell pool expansion in a mouse model of triple-negative breast tumors. Oncogene. 36(17). 2355–2365. 19 indexed citations
12.
Jézéquel, Pascal, Hamza Lasla, Wilfried Gouraud, et al.. (2015). Gene-expression signature functional annotation of breast cancer tumours in function of age. BMC Medical Genomics. 8(1). 80–80. 6 indexed citations
13.
Jézéquel, Pascal, Delphine Loussouarn, Catherine Guérin‐Charbonnel, et al.. (2015). Gene-expression molecular subtyping of triple-negative breast cancer tumours: importance of immune response. Breast Cancer Research. 17(1). 43–43. 228 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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