Francesca Gullo

1.2k citations
34 papers · 953 indexed · h-index 18
Topics
Neuroscience and Neural Engineering (12 papers)Neural dynamics and brain function (11 papers)Neuroscience and Neuropharmacology Research (10 papers)

In The Last Decade

Francesca Gullo

32 papers receiving 942 citations

Peers

Francesca Gullo
Comparison fields: 5 of 106
  • Molecular Biology 438
  • Cellular and Molecular Neuroscience 296
  • Genetics 185
  • Surgery 127
  • Cognitive Neuroscience 113
Replace Colin P. Glover with:
Colin P. Glover United Kingdom
Anna Papazoglou Germany
Kayoko Tsukita Japan
Uwe Leimer Germany
Wang Zheng China
Alexandre Favereaux France
Jelena Mojsilovic‐Petrovic United States
Alfia Khaibullina United States
Xavier Miró Spain
Raffaella Mariotti Italy
Francesca Gullo relative to Colin P. Glover United Kingdom Colin P. Glover's profile →
Citations per field
00.5×1.5×2.3×
Colin P. Glover · 1×
Citations per year

Countries citing papers authored by Francesca Gullo

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Gullo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Gullo

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Gullo. A scholar is included among the top collaborators of Francesca Gullo 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 Francesca Gullo. Francesca Gullo 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 0
2 0
3 6
4 34
5 32
6 8
7 32
8 49
9 10
10 1
11 26
12 210
13 45
14 1
15 41
16 25
17 25
18 2
19 4
20 1

About Francesca Gullo

Francesca Gullo is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 34 papers that have together received 953 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (12 papers), Neural dynamics and brain function (11 papers) and Neuroscience and Neuropharmacology Research (10 papers). The work is most often cited by research in Genetics (185 citations), Cellular and Molecular Neuroscience (296 citations) and Developmental Neuroscience (58 citations). Francesca Gullo has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Enzo Wanke, Mark van der Garde, Suzanne M. Watt, Marzia Lecchi, Cheen P. Khoo, Rosalba Camicia, Daniel Markeson, Jaap Jan Zwaginga, Cosimo De Bari and Elena Dossi. Their work appears in journals such as Bioinformatics, Development and Journal of Neurophysiology.

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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