Daniela Uberti

4.2k citations
105 papers · 3.4k · h-index 38

Impact in

Papers in

    • DNA Repair Mechanisms 7
    • Cell death mechanisms and regulation 6
    • RNA Research and Splicing 5
    • Genomics, phytochemicals, and oxidative stress 5
    • Alzheimer's disease research and treatments 31

Daniela Uberti

105 papers receiving 3.3k citations

Peers

Daniela Uberti
Comparison fields: 5 of 139
  • Biological Psychiatry 137
  • Developmental Neuroscience 151
  • Neurology 288
  • Physiology 869
  • Aging 55
Replace Cristina Lanni with:
Cristina Lanni Italy
Wenhua Zheng China
Koji Aoyama Japan
Thangiah Geetha United States
Jeganathan Ramesh Babu United States
Daniel A. Linseman United States
Fábio Klamt Brazil
Nico Mitro Italy
Tiina Suuronen Finland
Jia Yao United States
Daniela Uberti relative to Cristina Lanni Italy Cristina Lanni's profile →
Citations per field
00.5×1.5×2.1×
Cristina Lanni · 1×
Citations per year

Countries citing papers authored by Daniela Uberti

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Uberti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001202
2 200393
3 199892
4 201783
5 200482
6 201280
7 202178
8 200972
9 199971
10 201266
11 200264
12 202163
13 201663
14 200762
15 201262
16 200960
17 201957
18 201056
19 201352
20 200551

About Daniela Uberti

Daniela Uberti is a scholar working on Molecular Biology, Physiology, Oncology, Cellular and Molecular Neuroscience and Cancer Research, having authored 105 papers that have together received 3.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (31 papers), Cancer-related Molecular Pathways (27 papers), DNA Repair Mechanisms (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Cell death mechanisms and regulation (6 papers), RNA Research and Splicing (5 papers), Genomics, phytochemicals, and oxidative stress (5 papers) and Advanced Glycation End Products research (5 papers). The work is most often cited by research in Biological Psychiatry (137 citations), Developmental Neuroscience (151 citations), Neurology (288 citations), Physiology (869 citations) and Aging (55 citations). Daniela Uberti has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Maurizio Memo, Giulia Abate, Cristina Lanni, Marco Racchi, Stefano Govoni, Giulia Ferrari‐Toninelli, Sara Anna Bonini, Mariagrazia Grilli, Wiramon Rungratanawanich and Mariagrazia Marziano. Their work appears in journals such as Amino Acids, Nutrients, Alzheimer s & Dementia, Journal of Neurochemistry and Neurochemical Research.

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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