Daniela Stauffer

1k citations
14 papers · 871 · h-index 12

Impact in

Papers in

    • Parkinson's Disease Mechanisms and Treatments 5
    • Receptor Mechanisms and Signaling 2
    • Ubiquitin and proteasome pathways 2
    • Cell death mechanisms and regulation 1
    • Renal and related cancers 1

Daniela Stauffer

14 papers receiving 848 citations

Peers

Daniela Stauffer
Comparison fields: 5 of 68
  • Neurology 130
  • Cellular and Molecular Neuroscience 134
  • Molecular Biology 406
  • Cancer Research 70
  • Cell Biology 55
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Yuhsuke Ohmi Japan
Orie Tajima Japan
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Daniela Stauffer relative to Elena Chiricozzi Italy Elena Chiricozzi's profile →
Citations per field
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Elena Chiricozzi · 1×
Citations per year

Countries citing papers authored by Daniela Stauffer

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Stauffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2001277
2 2006175
3 201264
4 201658
5 200555
6 200142
7 201339
8 199937
9 201335
10 200332
11 200624
12 201519
13 202112
14
Estrogen Receptor alpha (ER alpha) and Estrogen Related Receptor alpha (ERR alpha) are both transcriptional regulators of the Runx2-I isoform
20132

About Daniela Stauffer

Daniela Stauffer is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Genetics and Cancer Research, having authored 14 papers that have together received 871 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Receptor Mechanisms and Signaling (2 papers), Ubiquitin and proteasome pathways (2 papers), Estrogen and related hormone effects (2 papers), Protease and Inhibitor Mechanisms (1 paper), Alzheimer's disease research and treatments (1 paper), Cell death mechanisms and regulation (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Neurology (130 citations), Cellular and Molecular Neuroscience (134 citations), Molecular Biology (406 citations), Cancer Research (70 citations) and Cell Biology (55 citations). Daniela Stauffer has collaborated with scholars based in Switzerland, Italy and France. Frequent co-authors include Giorgio Rovelli, Jean‐Philippe Pin, Jaroslav Blahoš, Bruno Martoglio, Peer‐Hendrik Kuhn, Elena Friedmann, Stefan F. Lichtenthaler, Ehud Hauben, Simone Schleeger and Sarah Vreugde. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, European Journal of Pharmacology, Journal of Neuroscience and PLoS ONE.

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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