Deborah Pietrobono

675 citations
28 papers · 479 indexed · h-index 15
  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments 9
    • Botulinum Toxin and Related Neurological Disorders 2
    • Neuroblastoma Research and Treatments 2
    • Parkinson's Disease Mechanisms and Treatments 9
    • Botulinum Toxin and Related Neurological Disorders 2
    • Neuroblastoma Research and Treatments 2
    • Alzheimer's disease research and treatments 10
    • Adenosine and Purinergic Signaling 3
    • Alzheimer's disease research and treatments 10
    • Adenosine and Purinergic Signaling 3
    • Glioma Diagnosis and Treatment 3
    • Extracellular vesicles in disease 2
    • Epigenetics and DNA Methylation 2

Deborah Pietrobono

28 papers receiving 472 citations

Peers

Deborah Pietrobono
Comparison fields: 5 of 79
  • Neurology 105
  • Neurology 49
  • Physiology 137
  • Biochemistry 34
  • Physiology 21
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Countries citing papers authored by Deborah Pietrobono

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Pietrobono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20222
3 202118
4 202115
5 202114
6 202018
7 202011
8 20201
9 201921
10 201916
11 201928
12 201967
13 201856
14 201818
15 201819
16 201725
17 201731
18 201718
19 20178
20 200414

About Deborah Pietrobono

Deborah Pietrobono is a scholar working on Neurology, Physiology and Physiology, having authored 28 papers that have together received 479 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (10 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Glioma Diagnosis and Treatment (3 papers), Adenosine and Purinergic Signaling (3 papers), Extracellular vesicles in disease (2 papers), Epigenetics and DNA Methylation (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Neurology (105 citations), Neurology (49 citations) and Physiology (137 citations). Deborah Pietrobono has collaborated with scholars based in Italy and United States. Frequent co-authors include Claudia Martini, Simona Daniele, Maria Letizia Trincavelli, Chiara Giacomelli, Grazia Chiellini, Simona Sestito, Simona Rapposelli, Ferdinando Franzoni, Luciana Marinelli and Ettore Novellino. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

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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