Federica Taioli

1.1k total citations
43 papers, 749 citations indexed

About

Federica Taioli is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Federica Taioli has authored 43 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cellular and Molecular Neuroscience, 16 papers in Neurology and 14 papers in Molecular Biology. Recurrent topics in Federica Taioli's work include Hereditary Neurological Disorders (34 papers), Genetic Neurodegenerative Diseases (15 papers) and Neurological diseases and metabolism (10 papers). Federica Taioli is often cited by papers focused on Hereditary Neurological Disorders (34 papers), Genetic Neurodegenerative Diseases (15 papers) and Neurological diseases and metabolism (10 papers). Federica Taioli collaborates with scholars based in Italy, United States and Canada. Federica Taioli's co-authors include Tiziana Cavallaro, Gian Maria Fabrizi, Ilaria Cabrini, Moreno Ferrarini, N. Rizzuto, Laura Bertolasi, Alessandro Simonati, G Fabrizi, Chiara Angiari and N. Rizzuto and has published in prestigious journals such as Brain, Neurology and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Federica Taioli

43 papers receiving 732 citations

Peers

Federica Taioli
Comparison fields: 5 of 60
  • Cellular and Molecular Neuroscience 547
  • Neurology 303
  • Molecular Biology 220
  • Neurology 189
  • Cell Biology 157
Replace J. Blake with:
J. Blake United Kingdom
Moreno Ferrarini Italy
Lucilla Nobbio Italy
Katrin Adlkofer Switzerland
Shawna Feely United States
Lorenzo Nanetti Italy
Е. Л. Дадали Russia
Yong Guo United States
Nazha Birouk France
R. J. Colello United Kingdom
J. Blake United Kingdom View profile →
Citations per field, relative to Federica Taioli
Federica Taioli · 1×
Citations per year, relative to Federica Taioli
Federica Taioli · 1×

Countries citing papers authored by Federica Taioli

Since Specialization
Citations

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

Fields of papers citing papers by Federica Taioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Taioli

This figure shows the co-authorship network connecting the top 25 collaborators of Federica Taioli. A scholar is included among the top collaborators of Federica Taioli 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 Taioli. Federica Taioli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 14
3 16
4 2
5 14
6 14
7 17
8 18
9 62
10 8
11 2
12 7
13 32
14 5
15 12
16 17
17 107
18 11
19 37
20 33

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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