Uta Wagner

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

Impact in

Papers in

Uta Wagner

20 papers receiving 1.3k citations

Peers

Uta Wagner
Comparison fields: 5 of 87
  • Developmental Neuroscience 161
  • Cellular and Molecular Neuroscience 618
  • Neurology 137
  • Physiology 352
  • Cell Biology 237
Replace Tomoyo Ochiishi with:
Tomoyo Ochiishi Japan
Desheng Xu China
Jean‐Dominique Delcroix United States
Jocelyne Caboche France
Johanne Egge Rinholm Norway
Piotr Michaluk Poland
Shigeo Uchino Japan
Umar Yazdani United States
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Yuxiang Xie United States
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Citations per field
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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

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000392
2 1996226
3 2012128
4 200091
5 199789
6 200187
7 199780
8 201557
9 199747
10
Tumor necrosis factor alpha promoter polymorphisms in patients with juvenile idiopathic arthritis.
200637
11 200334
12 200620
13 201417
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 20104
19 19852
20
Berichte aus den Randbezirken der Erwachsenenbildung
20161

About Uta Wagner

Uta Wagner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Physiology and Behavioral Neuroscience, having authored 22 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 (4 papers), Microtubule and mitosis dynamics (3 papers), Prion Diseases and Protein Misfolding (3 papers), Photoreceptor and optogenetics research (3 papers), Stress Responses and Cortisol (3 papers), Sociology and Education Studies (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Developmental Neuroscience (161 citations), Cellular and Molecular Neuroscience (618 citations), Neurology (137 citations), Physiology (352 citations) and Cell Biology (237 citations). Uta Wagner has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Andrew Matus, Heike Brinkhaus, Christopher C.J. Miller, Stefanie Kaech, Maria Fischer, Michelle A. Utton, Jean‐Marc Gallo, Tobias Bonhoeffer, Sidney Cambridge and Albrecht Kossel. Their work appears in journals such as Analytical Biochemistry, Hippocampus, Hormone and Metabolic Research, Proceedings of the National Academy of Sciences and Biochemical Journal.

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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