Simona D’Antoni

1.1k citations
26 papers · 952 · h-index 17

Impact in

Papers in

    • Genetics and Neurodevelopmental Disorders 14
    • Genomic variations and chromosomal abnormalities 2
    • RNA modifications and cancer 5
    • Ubiquitin and proteasome pathways 3
    • RNA Research and Splicing 3

Simona D’Antoni

23 papers receiving 937 citations

Peers

Simona D’Antoni
Comparison fields: 5 of 73
  • Cellular and Molecular Neuroscience 320
  • Genetics 397
  • Developmental Neuroscience 50
  • Cognitive Neuroscience 238
  • Neurology 78
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Citations per field
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Citations per year

Countries citing papers authored by Simona D’Antoni

Since Specialization
Citations

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

Fields of papers citing papers by Simona D’Antoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simona D’Antoni. 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 Simona D’Antoni. The network helps show where Simona D’Antoni may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005115
2 2012110
3 200899
4 201482
5 201368
6 200652
7 200751
8 201649
9 201543
10 201342
11 201840
12 201935
13 201130
14 200430
15 201426
16 201723
17 201521
18 202110
19 20237
20 20107

About Simona D’Antoni

Simona D’Antoni is a scholar working on Genetics, Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 26 papers that have together received 952 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (14 papers), Neuroscience and Neuropharmacology Research (6 papers), RNA modifications and cancer (5 papers), Autism Spectrum Disorder Research (4 papers), Ubiquitin and proteasome pathways (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers), RNA Research and Splicing (3 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (320 citations), Genetics (397 citations), Developmental Neuroscience (50 citations), Cognitive Neuroscience (238 citations) and Neurology (78 citations). Simona D’Antoni has collaborated with scholars based in Italy, Netherlands and France. Frequent co-authors include Maria Vincenza Catania, C. Bonaccorso, S Musumeci, Michela Spatuzza, Ferdinando Nicoletti, Eleonora Aronica, Lucia Ciranna, Antonio Berretta, Anna Maria Giuffrida‐Stella and Ben A. Oostra. Their work appears in journals such as Neurobiology of Disease, Neurochemical Research, Neuroscience & Biobehavioral Reviews, Human Molecular Genetics and Molecular Neurobiology.

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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