Daniela Uccelletti
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Orthodontics top 5%
Papers in
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- Fungal and yeast genetics research 21
- Gut microbiota and health 10
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- Graphene and Nanomaterials Applications 13
- Co-authors
- Claudio Palleschi (44 shared papers)Elena Zanni (26 shared papers)Maria Sabrina Sarto (20 shared papers)Giovanni De Bellis (12 shared papers)Emily Schifano (31 shared papers)Patrizia Mancini (20 shared papers)Antonella Polimeni (9 shared papers)Francesca Farina (13 shared papers)
- Journals
- Yeast (7 papers)Nanomaterials (5 papers)Journal of Nanobiotechnology (4 papers)Microbiology (4 papers)Applied Microbiology and Biotechnology (4 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Daniela Uccelletti
108 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 132
- Aging 174
- Orthodontics 104
- Periodontics 96
- Food Science 267
- Biomedical Engineering 643
Countries citing papers authored by Daniela Uccelletti
This map shows the geographic impact of Daniela Uccelletti'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 Uccelletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Uccelletti more than expected).
Fields of papers citing papers by Daniela Uccelletti
This network shows the impact of papers produced by Daniela Uccelletti. 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 Uccelletti. The network helps show where Daniela Uccelletti may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Uccelletti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 134 | |
| 2 | 1999 | 118 | |
| 3 | 2019 | 97 | |
| 4 | 2009 | 87 | |
| 5 | 2017 | 79 | |
| 6 | 2013 | 71 | |
| 7 | 2016 | 69 | |
| 8 | 2014 | 67 | |
| 9 | 2010 | 66 | |
| 10 | 2011 | 58 | |
| 11 | 2011 | 57 | |
| 12 | 2019 | 55 | |
| 13 | 2018 | 50 | |
| 14 | 2002 | 50 | |
| 15 | 2015 | 48 | |
| 16 | 2019 | 46 | |
| 17 | 2017 | 38 | |
| 18 | 2016 | 37 | |
| 19 | 2020 | 36 | |
| 20 | 2013 | 36 |
About Daniela Uccelletti
Daniela Uccelletti is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Aging and Food Science, having authored 111 papers that have together received 2.4k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (21 papers), Graphene and Nanomaterials Applications (13 papers), Genetics, Aging, and Longevity in Model Organisms (12 papers), Gut microbiota and health (10 papers), Endoplasmic Reticulum Stress and Disease (9 papers), Nanoparticles: synthesis and applications (8 papers), Genetic and rare skin diseases. (7 papers) and Probiotics and Fermented Foods (7 papers). The work is most often cited by research in Aging (174 citations), Orthodontics (104 citations), Periodontics (96 citations), Food Science (267 citations) and Biomedical Engineering (643 citations). Daniela Uccelletti has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Claudio Palleschi, Elena Zanni, Maria Sabrina Sarto, Giovanni De Bellis, Emily Schifano, Patrizia Mancini, Antonella Polimeni, Francesca Farina, Chiara Devirgiliis and V. Crescenzi. Their work appears in journals such as Yeast, Nanomaterials, Journal of Nanobiotechnology, Microbiology and Applied Microbiology and Biotechnology.
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.