Maria De Risi

795 citations
14 papers · 359 · h-index 11

Impact in

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

Papers in

Maria De Risi

13 papers receiving 356 citations

Peers

Maria De Risi
Comparison fields: 5 of 59
  • Physiology 138
  • Neurology 77
  • Physiology 24
  • Neurology 40
  • Cell Biology 74
Replace Caleb Pitcairn with:
Caleb Pitcairn United States
Harry Samaroo United States
Anabela Silva‐Fernandes Portugal
Anne Boyer‐Boiteau United States
Romana Tomasoni Italy
Marcin Maj Poland
Nathan D. Okerlund United States
Diana Tănase United States
Ivan Rattray United Kingdom
Péter Szocsics Hungary
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Citations per field
00.5×3.4×
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 201663
2 201760
3 202040
4 202138
5 202034
6 202033
7 202126
8 202217
9 202217
10 201914
11 202310
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 359 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (6 papers), Cellular transport and secretion (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Autism Spectrum Disorder Research (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurological disorders and treatments (2 papers), Cannabis and Cannabinoid Research (2 papers) and Memory and Neural Mechanisms (2 papers). The work is most often cited by research in Physiology (138 citations), Neurology (77 citations), Physiology (24 citations), Neurology (40 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, Paolo Calabresi, Giulia Torromino, Attilio Iemolo, Gian Carlo Bellenchi, Lucio Annunziato and Barbara Picconi. Their work appears in journals such as Nature Communications, Molecular Therapy, npj Parkinson s Disease, EMBO Molecular Medicine and Behavioural Brain 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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