Laetitia Lebrun

21 papers and 352 indexed citations i.

About

Laetitia Lebrun is a scholar working on Genetics, Neurology and Molecular Biology. According to data from OpenAlex, Laetitia Lebrun has authored 21 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 7 papers in Neurology and 5 papers in Molecular Biology. Recurrent topics in Laetitia Lebrun’s work include Glioma Diagnosis and Treatment (10 papers), COVID-19 Clinical Research Studies (3 papers) and Brain Metastases and Treatment (2 papers). Laetitia Lebrun is often cited by papers focused on Glioma Diagnosis and Treatment (10 papers), COVID-19 Clinical Research Studies (3 papers) and Brain Metastases and Treatment (2 papers). Laetitia Lebrun collaborates with scholars based in Belgium, United States and France. Laetitia Lebrun's co-authors include Isabelle Salmon, Nicky D’Haene, Christine Decaestecker, Sandrine Rorive, Marie-Lucie Racu, Olivier De Witte, Calliope Maris, Sarah De Clercq, Ricardo De Mendonça and Myriam Remmelink and has published in prestigious journals such as Journal of Neuropathology & Experimental Neurology, Critical Care and Neuro-Oncology.

In The Last Decade

Co-authorship network of co-authors of Laetitia Lebrun i

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.

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025