G. Daune

425 citations
10 papers · 402 · h-index 7

Impact in

Papers in

    • Neurogenesis and neuroplasticity mechanisms 4
    • Peripheral Neuropathies and Disorders 3
    • Neuroinflammation and Neurodegeneration Mechanisms 3

G. Daune

10 papers receiving 365 citations

Peers

G. Daune
Comparison fields: 5 of 51
  • Developmental Neuroscience 52
  • Neurology 158
  • Biochemistry 48
  • Cellular and Molecular Neuroscience 62
  • Clinical Biochemistry 16
Replace Maria Cristina Principato with:
Maria Cristina Principato Italy
M. L. Harpin France
Kunihiko Suzuki United States
Luz-Oliva B. Norenberg United States
Roberto Bianchi Italy
Justyna Okarmus Denmark
Tae Hyuk Kang United States
Ubaldo Leli United States
Joanne Gerber Switzerland
Jennifer VARIN-SIMON France
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Citations per field
00.5×2×3.3×
Maria Cristina Principato · 1×
Citations per year

Countries citing papers authored by G. Daune

Since Specialization
Citations

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

Fields of papers citing papers by G. Daune

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside G. Daune, 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. Daune Line = papers co-authored together G. Daune links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 199282
2 199366
3 198964
4 198456
5 198252
6 198842
7 198927
8 19947
9 19854
10 19832

About G. Daune

G. Daune is a scholar working on Developmental Neuroscience, Neurology, Neurology, Cellular and Molecular Neuroscience and Clinical Biochemistry, having authored 10 papers that have together received 402 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (4 papers), Peripheral Neuropathies and Disorders (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Glycosylation and Glycoproteins Research (1 paper), Metabolism and Genetic Disorders (1 paper), Amino Acid Enzymes and Metabolism (1 paper) and Multiple Sclerosis Research Studies (1 paper). The work is most often cited by research in Developmental Neuroscience (52 citations), Neurology (158 citations), Biochemistry (48 citations), Cellular and Molecular Neuroscience (62 citations) and Clinical Biochemistry (16 citations). G. Daune has collaborated with scholars based in France and United States. Frequent co-authors include Richard H. Quarles, Gérard Labourdette, Marc Weibel, Monique Sensenbrenner, Brigitte Pettmann, Nikolaus Seiler, Robert G. Farrer, Marinos C. Dalakas, Fritz Gerhart and Robert M. Gould. Their work appears in journals such as International Journal of Developmental Neuroscience, Journal of Inherited Metabolic Disease, Journal of Neuroimmunology, Biochemical Journal and Annals of Neurology.

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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