Maria De Risi

754 citations
14 papers · 342 · h-index 10

Impact in

    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Lysosomal Storage Disorders Research
    • Alzheimer's disease research and treatments

Papers in

Maria De Risi

13 papers receiving 340 citations

Peers

Maria De Risi
Comparison fields: 5 of 59
  • Neurology 83
  • Physiology 138
  • Neurology 41
  • Physiology 22
  • Cell Biology 74
Replace Caleb Pitcairn with:
Caleb Pitcairn United States
Harry Samaroo United States
Anabela Silva‐Fernandes Portugal
Anne Boyer‐Boiteau United States
Marcin Maj Poland
Magdalena Guerra‐Crespo Mexico
Nathan D. Okerlund United States
Ivan Rattray United Kingdom
Ozlem Bozdagi-Gunal United States
Zoë Bichler United States
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Citations per field
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Caleb Pitcairn · 1×
Citations per year

Countries citing papers authored by Maria De Risi

Since Specialization
Citations

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

Fields of papers citing papers by Maria De Risi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria De Risi. 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 Maria De Risi. The network helps show where Maria De Risi may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201660
2 201757
3 202038
4 202135
5 202033
6 202031
7 202125
8 202217
9 202216
10 201914
11 20239
12 20186
13 20251
14 20250

About Maria De Risi

Maria De Risi is a scholar working on Physiology, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology and Cell Biology, having authored 14 papers that have together received 342 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (6 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Cellular transport and secretion (4 papers), Autism Spectrum Disorder Research (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Memory and Neural Mechanisms (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Neurology (83 citations), Physiology (138 citations), Neurology (41 citations), Physiology (22 citations) and Cell Biology (74 citations). Maria De Risi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Elvira De Leonibus, Alessandro Fraldi, Nicolina Cristina Sorrentino, Irene Sambri, Gian Carlo Bellenchi, Giulia Torromino, Attilio Iemolo, Veronica Ghiglieri, Paolo Calabresi and Stefano Puglisi‐Allegra. Their work appears in journals such as Nature Communications, Molecular Therapy, Scientific Reports, Behavioural Brain Research and Brain.

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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