Federica Campanelli

890 citations
16 papers · 372 indexed · 1 hit paper · h-index 10
Topics
Neurological disorders and treatments (10 papers)Neuroscience and Neuropharmacology Research (7 papers)Parkinson's Disease Mechanisms and Treatments (7 papers)
Partner nations
ItalyFranceDenmark

In The Last Decade

Federica Campanelli

14 papers receiving 370 citations

Hit Papers

Advances in understanding the function of alpha-synuclein...20232026202420252023255075

Peers

Federica Campanelli
Comparison fields: 5 of 69
  • Neurology 154
  • Cellular and Molecular Neuroscience 134
  • Physiology 113
  • Molecular Biology 68
  • Neurology 67
Replace Yongchul Jang with:
Yongchul Jang United States
Insu Kwon United States
Dieter Volc Austria
Jeremiah K. Britt United States
Lucy Farrimond United Kingdom
Victor Li United States
Rodrigo G. Mira Chile
Arlene A. Tan United States
Héctor González-Usigli Mexico
Tracy L. Niedzielko United States
Federica Campanelli relative to Yongchul Jang United States Yongchul Jang's profile →
Citations per field
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Yongchul Jang · 1×
Citations per year

Countries citing papers authored by Federica Campanelli

Since Specialization
Citations

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

Fields of papers citing papers by Federica Campanelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Campanelli

This figure shows the co-authorship network connecting the top 25 collaborators of Federica Campanelli. A scholar is included among the top collaborators of Federica Campanelli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Federica Campanelli. Federica Campanelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 0
3 76
4
Advances in understanding the function of alpha-synuclein: implications for Parkinson’s diseasebreakdown →
76
5 37
6 6
7 52
8 11
9 6
10 4
11 16
12 22
13 22
14 7
15 10
16 27

About Federica Campanelli

Federica Campanelli is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology, having authored 16 papers that have together received 372 indexed citations. Recurring topics across this work include Neurological disorders and treatments (10 papers), Neuroscience and Neuropharmacology Research (7 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). The work is most often cited by research in Neurology (154 citations), Neurology (67 citations) and Cellular and Molecular Neuroscience (134 citations). Federica Campanelli has collaborated with scholars based in Italy, France and Denmark. Frequent co-authors include Veronica Ghiglieri, Gioia Marino, Paolo Calabresi, Giuseppina Natale, Giulia Di Lazzaro, Barbara Picconi, Anna Picca, Angelica Carandina, Hélio José Coelho‐Júnior and Evelyn Ferri. Their work appears in journals such as Brain, International Journal of Molecular Sciences and Science Advances.

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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2026