Stefano Cataldi

475 citations
8 papers · 274 · h-index 7

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neurological diseases and metabolism
    • Neuroscience and Neuropharmacology Research
    • Nuclear Receptors and Signaling
    • Nerve injury and regeneration

Papers in

    • Neurotransmitter Receptor Influence on Behavior 3
    • Neuroscience and Neuropharmacology Research 2
    • Genetic Neurodegenerative Diseases 1
    • Neurological disorders and treatments 4
    • Parkinson's Disease Mechanisms and Treatments 4

Stefano Cataldi

8 papers receiving 273 citations

Peers

Stefano Cataldi
Comparison fields: 5 of 55
  • Neurology 178
  • Cellular and Molecular Neuroscience 121
  • Neurology 52
  • Cell Biology 51
  • Biological Psychiatry 7
Replace Ashley E. Gonzalez with:
Ashley E. Gonzalez United States
Kimberley J. Billingsley United States
Eiko N. Minakawa Japan
Sonja Blumenstock Germany
Mónica Díez-Fairén Spain
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Katrina Albert Finland
Zinah Wassouf Germany
Fergil Mills Canada
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Citations per field
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Citations per year

Countries citing papers authored by Stefano Cataldi

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Cataldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201766
2 201853
3 202052
4 202147
5 201537
6 202012
7 20226
8 20241

About Stefano Cataldi

Stefano Cataldi is a scholar working on Cellular and Molecular Neuroscience, Neurology, Cell Biology, Cognitive Neuroscience and Infectious Diseases, having authored 8 papers that have together received 274 indexed citations. Recurring topics across this work include Neurological disorders and treatments (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Zebrafish Biomedical Research Applications (1 paper), Neural dynamics and brain function (1 paper), Genetic Neurodegenerative Diseases (1 paper) and Cellular transport and secretion (1 paper). The work is most often cited by research in Neurology (178 citations), Cellular and Molecular Neuroscience (121 citations), Neurology (52 citations), Cell Biology (51 citations) and Biological Psychiatry (7 citations). Stefano Cataldi has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include David Sulzer, Matthew J. Farrer, Austen J. Milnerwood, Igor Tatarnikov, Jaskaran Khinda, Maria Concetta Miniaci, Chelsie Kadgien, Robert H. Edwards, Eugene V. Mosharov and Se Joon Choi. Their work appears in journals such as FEBS Journal, eLife, Parkinsonism & Related Disorders, eNeuro and npj Parkinson s Disease.

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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