Barbara Le Bras

16 total papers · 876 total citations
11 papers, 694 citations indexed

About

Barbara Le Bras is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Molecular Biology. According to data from OpenAlex, Barbara Le Bras has authored 11 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 6 papers in Developmental Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Barbara Le Bras's work include Neuroscience and Neuropharmacology Research (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Axon Guidance and Neuronal Signaling (4 papers). Barbara Le Bras is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Axon Guidance and Neuronal Signaling (4 papers). Barbara Le Bras collaborates with scholars based in France, Spain and Belgium. Barbara Le Bras's co-authors include Erika Bullier, François Couraud, Jean‐Léon Thomas, Bernard Zalc, Marc Davenne, Katharina Heydon, Nathalie Spassky, Fernando de Castro, Evelyne Bloch‐Gallego and Alain Chédotal and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and Current Biology.

In The Last Decade

Barbara Le Bras

11 papers receiving 687 citations

Author Peers

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

Author Last Decade Papers Cites
Barbara Le Bras 382 315 282 135 119 11 694
V. Kriho 263 0.7× 261 0.8× 305 1.1× 91 0.7× 70 0.6× 22 616
Baofeng Ma 373 1.0× 398 1.3× 182 0.6× 171 1.3× 56 0.5× 18 773
G. Michailov 490 1.3× 266 0.8× 277 1.0× 64 0.5× 87 0.7× 7 782
Julia Patzig 253 0.7× 411 1.3× 224 0.8× 145 1.1× 144 1.2× 18 714
Motoyuki Hirasawa 249 0.7× 389 1.2× 191 0.7× 60 0.4× 195 1.6× 11 736
Philip C. Buttery 273 0.7× 329 1.0× 221 0.8× 77 0.6× 104 0.9× 17 666
R. K. Small 299 0.8× 320 1.0× 320 1.1× 115 0.9× 86 0.7× 11 729
Lai Man Natalie Wu 242 0.6× 417 1.3× 207 0.7× 93 0.7× 149 1.3× 11 774
Vilma Schonmann 166 0.4× 366 1.2× 291 1.0× 90 0.7× 76 0.6× 19 620
H Antonicek 303 0.8× 526 1.7× 153 0.5× 59 0.4× 111 0.9× 9 769

Countries citing papers authored by Barbara Le Bras

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Le Bras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara Le Bras. 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 Barbara Le Bras. The network helps show where Barbara Le Bras may publish in the future.

Co-authorship network of co-authors of Barbara Le Bras

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Le Bras. A scholar is included among the top collaborators of Barbara Le Bras 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 Barbara Le Bras. Barbara Le Bras 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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