Daniela Uccelletti

2.9k citations
111 papers · 2.3k · h-index 27

Impact in

Papers in

Daniela Uccelletti

108 papers receiving 2.2k citations

Peers

Daniela Uccelletti
Comparison fields: 5 of 131
  • Aging 170
  • Orthodontics 98
  • Periodontics 93
  • Food Science 251
  • Biomedical Engineering 580
Replace Xiang‐Rong Cheng with:
Xiang‐Rong Cheng China
Tikam Chand Dakal India
Sam Dukan France
Armanda Pugnaloni Italy
Claudio Palleschi Italy
Olesja Bondarenko Estonia
Yi Yang China
Suresh K. Verma India
Xuan Li China
О. N. Ilinskaya Russia
Daniela Uccelletti relative to Xiang‐Rong Cheng China Xiang‐Rong Cheng's profile →
Citations per field
00.5×6.5×
Xiang‐Rong Cheng · 1×
Citations per year

Countries citing papers authored by Daniela Uccelletti

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniela Uccelletti Line = papers co-authored together Daniela Uccelletti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012121
2 1999105
3 201991
4 200981
5 201777
6 201065
7 201663
8 201362
9 201158
10 201457
11 201156
12 201954
13 200250
14 201945
15 201845
16 201737
17 201335
18 201533
19 202033
20 202033

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 2.3k 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 (170 citations), Orthodontics (98 citations), Periodontics (93 citations), Food Science (251 citations) and Biomedical Engineering (580 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, Emily Schifano, Giovanni De Bellis, Patrizia Mancini, Antonella Polimeni, Francesca Farina, Chiara Devirgiliis and Francesca Pagnanelli. Their work appears in journals such as Yeast, Nanomaterials, Applied Microbiology and Biotechnology, Microbiology and Journal of Nanobiotechnology.

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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