Daniela Stauffer
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Plant Gene Expression Analysis 2
- Receptor Mechanisms and Signaling 2
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- Neuroscience and Neural Engineering 1
- Co-authors
- Giorgio Rovelli (9 shared papers)Jean‐Philippe Pin (2 shared papers)Bruno Martoglio (2 shared papers)Jaroslav Blahoš (2 shared papers)Ehud Hauben (1 shared paper)Elena Friedmann (1 shared paper)Peer‐Hendrik Kuhn (1 shared paper)Stefan F. Lichtenthaler (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Gene (1 paper)Nature Cell Biology (1 paper)Journal of Neuroscience (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- SwitzerlandItalyFrance
In The Last Decade
Daniela Stauffer
13 papers receiving 783 citations
Peers
Comparison fields: 5 of 87
- Cellular and Molecular Neuroscience 285
- Neurology 126
- Molecular Biology 538
- Cell Biology 110
- Neurology 39
Countries citing papers authored by Daniela Stauffer
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 256 | |
| 2 | 2006 | 163 | |
| 3 | 2012 | 59 | |
| 4 | 2016 | 50 | |
| 5 | 2005 | 49 | |
| 6 | 2001 | 41 | |
| 7 | 1999 | 37 | |
| 8 | 2003 | 34 | |
| 9 | 2013 | 33 | |
| 10 | 2013 | 31 | |
| 11 | 2006 | 23 | |
| 12 | 2015 | 19 | |
| 13 | Estrogen Receptor alpha (ER alpha) and Estrogen Related Receptor alpha (ERR alpha) are both transcriptional regulators of the Runx2-I isoform | 2013 | 2 |
About Daniela Stauffer
Daniela Stauffer is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Oncology and Genetics, having authored 13 papers that have together received 797 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (4 papers), Plant Gene Expression Analysis (2 papers), Receptor Mechanisms and Signaling (2 papers), Estrogen and related hormone effects (2 papers), Peptidase Inhibition and Analysis (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), Neuroscience and Neural Engineering (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (285 citations), Neurology (126 citations), Molecular Biology (538 citations), Cell Biology (110 citations) and Neurology (39 citations). Daniela Stauffer has collaborated with scholars based in Switzerland, Italy and France. Frequent co-authors include Giorgio Rovelli, Jean‐Philippe Pin, Bruno Martoglio, Jaroslav Blahoš, Ehud Hauben, Elena Friedmann, Peer‐Hendrik Kuhn, Stefan F. Lichtenthaler, Simone Schleeger and Sarah Vreugde. Their work appears in journals such as Journal of Biological Chemistry, Gene, Nature Cell Biology, Journal of Neuroscience and Bioorganic & Medicinal Chemistry Letters.
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.