G. Labourdette

4.6k citations
79 papers · 3.9k indexed · h-index 36

Impact in

Papers in

G. Labourdette

79 papers receiving 3.8k citations

Peers

G. Labourdette
Comparison fields: 5 of 99
  • Developmental Neuroscience 1.3k
  • Cellular and Molecular Neuroscience 1.5k
  • Neurology 468
  • Molecular Biology 2.5k
  • Cell Biology 532
Replace Jane E. Bottenstein with:
Jane E. Bottenstein United States
Peter E. Braun Canada
Barbara A. Barres United States
Patrizia Casaccia‐Bonnefil United States
Dennis S. Rice United States
Anna Logvinova United States
Sung Ok Yoon United States
Bernard Zalc France
Rashmi Bansal United States
Danielle Pham-Dinh France
G. Labourdette relative to Jane E. Bottenstein United States Jane E. Bottenstein's profile →
Citations per field
00.5×3.1×
Jane E. Bottenstein · 1×
Citations per year

Countries citing papers authored by G. Labourdette

Since Specialization
Citations

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

Fields of papers citing papers by G. Labourdette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Labourdette, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Labourdette Line = papers co-authored together G. Labourdette links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201092
2 20065
3 2004131
4 19959
5 199419
6 199217
7 19929
8 199214
9 19913
10 199117
11 19907
12 199046
13 19897
14 198921
15 19894
16 19888
17 198812
18 198854
19 198847
20 198778

About G. Labourdette

G. Labourdette is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Cancer Research and Hepatology, having authored 79 papers that have together received 3.9k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (21 papers), Neurogenesis and neuroplasticity mechanisms (19 papers), Fibroblast Growth Factor Research (16 papers), Nerve injury and regeneration (7 papers), Mitochondrial Function and Pathology (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Liver physiology and pathology (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Developmental Neuroscience (1.3k citations), Cellular and Molecular Neuroscience (1.5k citations), Neurology (468 citations), Molecular Biology (2.5k citations) and Cell Biology (532 citations). G. Labourdette has collaborated with scholars based in France, Canada and United States. Frequent co-authors include M. Sensenbrenner, Brigitte Pettmann, M. Weibel, C. Gensburger, Frédéric Perraud, Alexander Marks, Klaus Unsicker, Roman Schmidt, G. Vincendon and François Besnard. Their work appears in journals such as International Journal of Developmental Neuroscience, Developmental Neuroscience, FEBS Letters, Glia and Journal of Cellular Physiology.

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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