Dagmar Galter

7.6k citations
76 papers · 5.6k indexed · h-index 39

Impact in

Papers in

    • Nuclear Receptors and Signaling 20
    • Nerve injury and regeneration 12
    • Neurotransmitter Receptor Influence on Behavior 6
    • Parkinson's Disease Mechanisms and Treatments 28
    • Neurological disorders and treatments 6

Dagmar Galter

76 papers receiving 5.5k citations

Peers

Dagmar Galter
Comparison fields: 5 of 132
  • Cellular and Molecular Neuroscience 1.7k
  • Neurology 1.4k
  • Neurology 556
  • Developmental Neuroscience 267
  • Biological Psychiatry 107
Replace Takashi Taniguchi with:
Takashi Taniguchi Japan
Eunsung Junn United States
Luis Barbeito Uruguay
Yuji Owada Japan
Paul R. Heath United Kingdom
Mariana Pehar United States
Matthew J. LaVoie United States
Jan Lewerenz Germany
Qian Cai United States
Jacqueline de Belleroche United Kingdom
Dagmar Galter relative to Takashi Taniguchi Japan Takashi Taniguchi's profile →
Citations per field
00.5×1.5×2.3×
Takashi Taniguchi · 1×
Citations per year

Countries citing papers authored by Dagmar Galter

Since Specialization
Citations

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

Fields of papers citing papers by Dagmar Galter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dagmar Galter, 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 Dagmar Galter Line = papers co-authored together Dagmar Galter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201735
2 201520
3 20156
4 201226
5 20125
6 201015
7 200967
8 200835
9 20081
10 2007467
11 200745
12 200726
13 200720
14 20068
15 2005152
16 200120
17 199935
18 199647
19 199513
20 1994233

About Dagmar Galter

Dagmar Galter is a scholar working on Cellular and Molecular Neuroscience, Neurology, Developmental Neuroscience, Neurology and Molecular Biology, having authored 76 papers that have together received 5.6k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (28 papers), Nuclear Receptors and Signaling (20 papers), Nerve injury and regeneration (12 papers), Alzheimer's disease research and treatments (8 papers), Mitochondrial Function and Pathology (6 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), RNA regulation and disease (6 papers) and Neurological disorders and treatments (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Neurology (1.4k citations), Neurology (556 citations), Developmental Neuroscience (267 citations) and Biological Psychiatry (107 citations). Dagmar Galter has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Wulf Dröge, Sabine Mihm, Klaus Unsicker, Marie Westerlund, Mügen Terzioglu, Mats I. Ekstrand, Andrea Carmine, Andrea Carmine Belin, Sandra Gellhaar and Kerstin Krieglstein. Their work appears in journals such as The FASEB Journal, Neurobiology of Disease, FEBS Journal, Cell and Tissue Research and Proceedings of the National Academy of Sciences.

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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