Giulia Ferrari‐Toninelli

1.1k citations
30 papers · 880 indexed · h-index 20
Topics
Alzheimer's disease research and treatments (6 papers)Neuroscience and Neuropharmacology Research (5 papers)Microtubule and mitosis dynamics (5 papers)

In The Last Decade

Giulia Ferrari‐Toninelli

30 papers receiving 871 citations

Peers

Giulia Ferrari‐Toninelli
Comparison fields: 5 of 105
  • Molecular Biology 389
  • Cellular and Molecular Neuroscience 183
  • Physiology 178
  • Neurology 147
  • Neurology 106
Replace Gum Hwa Lee with:
Gum Hwa Lee South Korea
Vega García‐Escudero Spain
Nina Vartiainen Finland
Yuen-Ting Cheung Hong Kong
Varsha Shukla United States
Shin Bi Oh South Korea
G.A. MacGibbon New Zealand
Sukumal Chongthammakun Thailand
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Dean A. Le United States
Giulia Ferrari‐Toninelli relative to Gum Hwa Lee South Korea Gum Hwa Lee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Giulia Ferrari‐Toninelli

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Ferrari‐Toninelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giulia Ferrari‐Toninelli. 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 Giulia Ferrari‐Toninelli. The network helps show where Giulia Ferrari‐Toninelli may publish in the future.

Co-authorship network of co-authors of Giulia Ferrari‐Toninelli

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Ferrari‐Toninelli. A scholar is included among the top collaborators of Giulia Ferrari‐Toninelli 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 Giulia Ferrari‐Toninelli. Giulia Ferrari‐Toninelli 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
#WorkIndexed citations
1 19
2 51
3 13
4 17
5 4
6 42
7 9
8 56
9 41
10 21
11 115
12 13
13 6
14 3
15 10
16 27
17 38
18 14
19 33
20 21

About Giulia Ferrari‐Toninelli

Giulia Ferrari‐Toninelli is a scholar working on Developmental Neuroscience, Neurology and Cell Biology, having authored 30 papers that have together received 880 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Microtubule and mitosis dynamics (5 papers). The work is most often cited by research in Developmental Neuroscience (96 citations), Biological Psychiatry (38 citations) and Neurology (106 citations). Giulia Ferrari‐Toninelli has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Maurizio Memo, Sara Anna Bonini, Daniela Uberti, Giuseppina Maccarinelli, Mariagrazia Grilli, Andrea Mastinu, Paola Bettinsoli, Mery Montinaro, Giovanna Cenini and Laura Buizza. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and 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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