Laetitia Lebrun

665 total citations
25 papers, 402 citations indexed

About

Laetitia Lebrun is a scholar working on Genetics, Neurology and Molecular Biology. According to data from OpenAlex, Laetitia Lebrun has authored 25 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 8 papers in Neurology and 6 papers in Molecular Biology. Recurrent topics in Laetitia Lebrun's work include Glioma Diagnosis and Treatment (14 papers), Brain Metastases and Treatment (3 papers) and COVID-19 Clinical Research Studies (3 papers). Laetitia Lebrun is often cited by papers focused on Glioma Diagnosis and Treatment (14 papers), Brain Metastases and Treatment (3 papers) and COVID-19 Clinical Research Studies (3 papers). Laetitia Lebrun collaborates with scholars based in Belgium, France and Spain. Laetitia Lebrun's co-authors include Isabelle Salmon, Nicky D’Haene, Christine Decaestecker, Olivier De Witte, Marie-Lucie Racu, Sandrine Rorive, Sarah De Clercq, Calliope Maris, Lorenzo Peluso and Philomène Lavis and has published in prestigious journals such as Scientific Reports, Critical Care and Journal of Neuropathology & Experimental Neurology.

In The Last Decade

Laetitia Lebrun

22 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laetitia Lebrun Belgium 10 181 147 95 68 64 25 402
Reinhard Motz Austria 6 71 0.4× 68 0.5× 101 1.1× 45 0.7× 39 0.6× 9 365
Deepak Atri United States 7 174 1.0× 123 0.8× 19 0.2× 161 2.4× 118 1.8× 13 503
Maria Giuseppina Cefalo Italy 14 36 0.2× 48 0.3× 66 0.7× 76 1.1× 85 1.3× 43 407
Gervith Reyes-Soto Mexico 8 27 0.1× 52 0.4× 58 0.6× 69 1.0× 102 1.6× 32 371
Chelsea Kotch United States 4 96 0.5× 102 0.7× 24 0.3× 59 0.9× 131 2.0× 13 315
Mohammad Amin Habibi Iran 10 25 0.1× 110 0.7× 44 0.5× 34 0.5× 45 0.7× 125 371
Giovanni Grillo Italy 13 17 0.1× 55 0.4× 103 1.1× 117 1.7× 66 1.0× 49 486
Ricardo Reis Brazil 8 16 0.1× 76 0.5× 136 1.4× 92 1.4× 30 0.5× 15 291
Sudhamshi Toom United States 5 307 1.7× 338 2.3× 7 0.1× 50 0.7× 150 2.3× 12 626
Yuming Sun China 10 73 0.4× 161 1.1× 37 0.4× 24 0.4× 37 0.6× 33 363

Countries citing papers authored by Laetitia Lebrun

Since Specialization
Citations

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

Fields of papers citing papers by Laetitia Lebrun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laetitia Lebrun

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

All Works

20 of 20 papers shown
1.
2.
Lebrun, Laetitia, Olivier De Witte, Fabienne Escande, et al.. (2025). Diagnostic impact of DNA methylation classification in adult and pediatric CNS tumors. Scientific Reports. 15(1). 2857–2857. 3 indexed citations
3.
Sieben, Anne, Claude Van Campenhout, Nicky D’Haene, et al.. (2024). Rare Oncogenic Fusions in Pediatric Central Nervous System Tumors: A Case Series and Literature Review. Cancers. 16(19). 3344–3344. 1 indexed citations
4.
Witte, Olivier De, Claudine Heinrichs, Isabelle Salmon, et al.. (2024). Childhood craniopharyngioma: a retrospective study of children followed in Hôpital Universitaire de Bruxelles. Frontiers in Endocrinology. 15. 1297132–1297132. 2 indexed citations
5.
Duerinck, Johnny, Xenia Geeraerts, Freya Vaeyens, et al.. (2024). Intracranial administration of anti-PD-1 and anti-CTLA-4 immune checkpoint-blocking monoclonal antibodies in patients with recurrent high-grade glioma. Neuro-Oncology. 26(12). 2208–2221. 11 indexed citations
6.
Lebrun, Laetitia, Lara Absil, Myriam Remmelink, et al.. (2023). SARS-Cov-2 infection and neuropathological findings: a report of 18 cases and review of the literature. Acta Neuropathologica Communications. 11(1). 78–78. 15 indexed citations
7.
Lebrun, Laetitia & Isabelle Salmon. (2023). Pathology and new insights in thyroid neoplasms in the 2022 WHO classification. Current Opinion in Oncology. 36(1). 13–21. 15 indexed citations
8.
Lebrun, Laetitia, Claude Van Campenhout, Valentina Lolli, et al.. (2023). Clinicopathological and molecular characterization of a case classified by DNA‑methylation profiling as “CNS embryonal tumor with BRD4–LEUTX fusion”. Acta Neuropathologica Communications. 11(1). 46–46. 7 indexed citations
9.
Lebrun, Laetitia, et al.. (2023). Pathology and new insights in central nervous system lymphomas. Current Opinion in Oncology. 35(5). 347–356. 8 indexed citations
10.
11.
Racu, Marie-Lucie, Laetitia Lebrun, Andréa Alex Schiavo, et al.. (2022). The Role of SMAD4 Inactivation in Epithelial–Mesenchymal Plasticity of Pancreatic Ductal Adenocarcinoma: The Missing Link?. Cancers. 14(4). 973–973. 18 indexed citations
12.
Racu, Marie-Lucie, Sylvie Luce, Laetitia Lebrun, et al.. (2022). Dabrafenib monotherapy for a recurrent BRAFV600E-mutated TTF-1-positive posterior pituitary tumor. Acta Neurochirurgica. 164(3). 737–742. 4 indexed citations
13.
Debeir, Olivier, Christine Decaestecker, Thierry Metens, et al.. (2021). Voxelwise Principal Component Analysis of Dynamic [S-Methyl-11C]Methionine PET Data in Glioma Patients. Cancers. 13(10). 2342–2342. 9 indexed citations
14.
Lebrun, Laetitia, Christine Decaestecker, Yves‐Rémi Van Eycke, et al.. (2021). Initial Condition Assessment for Reaction-Diffusion Glioma Growth Models: A Translational MRI-Histology (In)Validation Study. arXiv (Cornell University). 3 indexed citations
15.
Caruana, Giorgia, et al.. (2021). The dark side of SARS-CoV-2 rapid antigen testing: screening asymptomatic patients. New Microbes and New Infections. 42. 100899–100899. 18 indexed citations
16.
Lebrun, Laetitia, Martin Bizet, Bárbara Meléndez, et al.. (2021). Analyses of DNA Methylation Profiling in the Diagnosis of Intramedullary Astrocytomas. Journal of Neuropathology & Experimental Neurology. 80(7). 663–673. 9 indexed citations
17.
Lebrun, Laetitia, Bárbara Meléndez, Nancy De Nève, et al.. (2020). Clinical, radiological and molecular characterization of intramedullary astrocytomas. Acta Neuropathologica Communications. 8(1). 128–128. 19 indexed citations
18.
D’Haene, Nicky, Bárbara Meléndez, Nancy De Nève, et al.. (2019). Design and Validation of a Gene-Targeted, Next-Generation Sequencing Panel for Routine Diagnosis in Gliomas. Cancers. 11(6). 773–773. 20 indexed citations
19.
Lebrun, Laetitia, Marie Le Mercier, Bárbara Meléndez, Isabelle Salmon, & Nicky D’Haene. (2019). A 47‐year‐old man with a recurrent glioma. Brain Pathology. 29(4). 581–582.
20.
Lebrun, Laetitia, Marie Le Mercier, Justine Allard, et al.. (2018). UCA1 overexpression is associated with less aggressive subtypes of bladder cancer. Oncology Reports. 40(5). 2497–2506. 16 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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