Laetitia Lebrun

46 total papers · 645 total citations
24 papers, 390 citations indexed

About

Laetitia Lebrun is a scholar working on Genetics, Neurology and Molecular Biology. According to data from OpenAlex, Laetitia Lebrun has authored 24 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 14 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 (13 papers), COVID-19 Clinical Research Studies (3 papers) and Brain Metastases and Treatment (3 papers). Laetitia Lebrun is often cited by papers focused on Glioma Diagnosis and Treatment (13 papers), COVID-19 Clinical Research Studies (3 papers) and Brain Metastases and Treatment (3 papers). Laetitia Lebrun collaborates with scholars based in Belgium, France and United States. 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, Fabio Silvio Taccone and Ricardo De Mendonça 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 384 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Laetitia Lebrun	180	142	89	65	63	24	390
Yufeng Shang	130 0.7×	94 0.7×	51 0.6×	129 2.0×	108 1.7×	30	437
Zhaoxia Ma	139 0.8×	152 1.1×	151 1.7×	106 1.6×	37 0.6×	17	383
María López‐Lasanta	87 0.5×	39 0.3×	54 0.6×	88 1.4×	56 0.9×	23	445
Igor Giarretta	79 0.4×	64 0.5×	51 0.6×	148 2.3×	65 1.0×	27	396
Christine Lombard	56 0.3×	94 0.7×	19 0.2×	72 1.1×	52 0.8×	33	403
Rebecca Hasseli	84 0.5×	59 0.4×	17 0.2×	65 1.0×	67 1.1×	26	338
Gervith Reyes-Soto	27 0.1×	50 0.4×	56 0.6×	67 1.0×	100 1.6×	32	361
Darius Kalasauskas	25 0.1×	74 0.5×	94 1.1×	39 0.6×	28 0.4×	36	349
Katerina Stefanaki	37 0.2×	38 0.3×	29 0.3×	78 1.2×	118 1.9×	28	372
Tejaswi Kandula	60 0.3×	89 0.6×	42 0.5×	91 1.4×	147 2.3×	21	434

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

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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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