Uta Wagner

1.6k citations
19 papers · 1.3k · h-index 13

Impact in

Papers in

Uta Wagner

19 papers receiving 1.3k citations

Peers

Uta Wagner
Comparison fields: 5 of 86
  • Developmental Neuroscience 156
  • Cellular and Molecular Neuroscience 614
  • Neurology 146
  • Cell Biology 242
  • Physiology 354
Replace Tomoyo Ochiishi with:
Tomoyo Ochiishi Japan
Desheng Xu China
Jean‐Dominique Delcroix United States
Johanne Egge Rinholm Norway
Chang‐Lin Liang United States
Jocelyne Caboche France
Mei-Fang Xiao United States
Piotr Michaluk Poland
Yuxiang Xie United States
Peter A. Paskevich United States
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Citations per field
00.5×1.7×
Tomoyo Ochiishi · 1×
Citations per year

Countries citing papers authored by Uta Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Uta Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2000375
2 1996219
3 2012124
4 199787
5 200085
6 200183
7 199777
8 201555
9 199744
10
Tumor necrosis factor alpha promoter polymorphisms in patients with juvenile idiopathic arthritis.
200637
11 200332
12 200618
13 201416
14 201110
15
Corticotropin releasing hormone (CRH) response in patients with early rheumatoid arthritis due to polymorphisms in the CRH gene.
20126
16 20065
17 20005
18 20103
19 19852

About Uta Wagner

Uta Wagner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Cell Biology and Neurology, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Alzheimer's disease research and treatments (5 papers), Microtubule and mitosis dynamics (3 papers), Prion Diseases and Protein Misfolding (3 papers), Stress Responses and Cortisol (3 papers), Photoreceptor and optogenetics research (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Developmental Neuroscience (156 citations), Cellular and Molecular Neuroscience (614 citations), Neurology (146 citations), Cell Biology (242 citations) and Physiology (354 citations). Uta Wagner has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Andrew Matus, Heike Brinkhaus, Christopher C.J. Miller, Stefanie Kaech, Maria Fischer, Michelle A. Utton, Jean‐Marc Gallo, Sidney Cambridge, Tobias Bonhoeffer and Albrecht Kossel. Their work appears in journals such as Analytical Biochemistry, Hippocampus, Neuroscience, Acta Neuropathologica and Clinical Neuropathology.

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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