Daniela Mauceri
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Cell Biology top 10%
- Neurology top 10%
- Co-authors
- Mónica Di LucaFabrizio GardoniHilmar BadingFlaminio CattabeniElena MarcelloH. Eckehard FreitagAndreas JerominCarlo Sala
- Topics
- Neuroscience and Neuropharmacology Research (11 papers)Axon Guidance and Neuronal Signaling (5 papers)Histone Deacetylase Inhibitors Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- GermanyItalyUnited States
In The Last Decade
Daniela Mauceri
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 611
- Cellular and Molecular Neuroscience 604
- Physiology 304
- Cell Biology 152
- Neurology 125
Countries citing papers authored by Daniela Mauceri
This map shows the geographic impact of Daniela Mauceri'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 Mauceri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Mauceri more than expected).
Fields of papers citing papers by Daniela Mauceri
This network shows the impact of papers produced by Daniela Mauceri. 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 Mauceri. The network helps show where Daniela Mauceri may publish in the future.
Co-authorship network of co-authors of Daniela Mauceri
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Mauceri. A scholar is included among the top collaborators of Daniela Mauceri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela Mauceri. Daniela Mauceri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 16 | |
| 4 | 12 | |
| 5 | 30 | |
| 6 | 35 | |
| 7 | 15 | |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 15 | |
| 11 | 29 | |
| 12 | 22 | |
| 13 | 95 | |
| 14 | 51 | |
| 15 | 86 | |
| 16 | 120 | |
| 17 | 36 | |
| 18 | 60 | |
| 19 | 75 | |
| 20 | 88 |
About Daniela Mauceri
Daniela Mauceri is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Axon Guidance and Neuronal Signaling (5 papers) and Histone Deacetylase Inhibitors Research (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (604 citations), Neurology (125 citations) and Developmental Neuroscience (55 citations). Daniela Mauceri has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Mónica Di Luca, Fabrizio Gardoni, Hilmar Bading, Flaminio Cattabeni, Elena Marcello, H. Eckehard Freitag, Andreas Jeromin, Carlo Sala, Ana M.M. Oliveira and C. Peter Bengtson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.