Daniela Uberti

4.1k citations
105 papers · 3.3k indexed · h-index 37

Impact in

Papers in

    • DNA Repair Mechanisms 7
    • Mitochondrial Function and Pathology 7
    • RNA Research and Splicing 6
    • Cell death mechanisms and regulation 6
    • Alzheimer's disease research and treatments 35

Daniela Uberti

105 papers receiving 3.3k citations

Peers

Daniela Uberti
Comparison fields: 5 of 139
  • Biological Psychiatry 168
  • Developmental Neuroscience 162
  • Neurology 322
  • Physiology 998
  • Aging 55
Replace Wenhua Zheng with:
Wenhua Zheng China
Cristina Lanni Italy
Koji Aoyama Japan
Jeganathan Ramesh Babu United States
Daniel A. Linseman United States
Fábio Klamt Brazil
Tiina Suuronen Finland
Dora M. Kovacs United States
Subbiah Pugazhenthi United States
Takashi Morihara Japan
Daniela Uberti relative to Wenhua Zheng China Wenhua Zheng's profile →
Citations per field
00.5×1.5×1.8×
Wenhua Zheng · 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 199893
3 200392
4 201783
5 200482
6 201279
7 202177
8 200971
9 199971
10 201266
11 200264
12 200762
13 201261
14 200960
15 202160
16 201659
17 201956
18 201056
19 200551
20 201351

About Daniela Uberti

Daniela Uberti is a scholar working on Molecular Biology, Physiology, Oncology, Cellular and Molecular Neuroscience and Plant Science, having authored 105 papers that have together received 3.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (35 papers), Cancer-related Molecular Pathways (28 papers), Neuroscience and Neuropharmacology Research (8 papers), DNA Repair Mechanisms (7 papers), Mitochondrial Function and Pathology (7 papers), RNA Research and Splicing (6 papers), Cell death mechanisms and regulation (6 papers) and Tryptophan and brain disorders (5 papers). The work is most often cited by research in Biological Psychiatry (168 citations), Developmental Neuroscience (162 citations), Neurology (322 citations), Physiology (998 citations) and Aging (55 citations). Daniela Uberti has collaborated with scholars based in Italy, United States and Iran. 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, Journal of Neurochemistry, Alzheimer s & Dementia and Antioxidants.

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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