Letizia Amato

579 citations
17 papers · 410 indexed · h-index 11
Topics
Neuroscience and Neural Engineering (3 papers)Analytical Chemistry and Sensors (3 papers)Electrochemical Analysis and Applications (2 papers)
Partner nations
DenmarkItalySpain

In The Last Decade

Letizia Amato

16 papers receiving 394 citations

Peers

Letizia Amato
Comparison fields: 5 of 64
  • Biomedical Engineering 189
  • Electrical and Electronic Engineering 140
  • Materials Chemistry 62
  • Molecular Biology 55
  • Cellular and Molecular Neuroscience 48
Replace Maedehsadat Mousavi with:
Maedehsadat Mousavi Australia
Shubhangi Shukla United States
Soon Woo Jeong South Korea
Romina Rega Italy
Valerii Myndrul Poland
Liron Amir Israel
Guy Voirin Switzerland
Scherrine A. Tria France
Ivan Bobrinetskiy Russia
Shuju Zhao China
Letizia Amato relative to Maedehsadat Mousavi Australia Maedehsadat Mousavi's profile →
Citations per field
00.5×5.3×
Maedehsadat Mousavi · 1×
Citations per year

Countries citing papers authored by Letizia Amato

Since Specialization
Citations

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

Fields of papers citing papers by Letizia Amato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Letizia Amato

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 31
3 11
4 62
5 5
6 28
7 20
8
A Lab-on-a-disc platform for trapping of cells, monitoring of cell behaviour and evaluation of redox metabolism
1
9 63
10
Conducting pyrolysed carbon scaffold for tissue engineering
2
11 8
12 4
13 38
14 49
15 59
16 17
17 12

About Letizia Amato

Letizia Amato is a scholar working on Bioengineering, Filtration and Separation and Electrochemistry, having authored 17 papers that have together received 410 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (3 papers), Analytical Chemistry and Sensors (3 papers) and Electrochemical Analysis and Applications (2 papers). The work is most often cited by research in Bioengineering (36 citations), Electrochemistry (32 citations) and Biotechnology (40 citations). Letizia Amato has collaborated with scholars based in Denmark, Italy and Spain. Frequent co-authors include Anja Boisen, Arto Heiskanen, Robert Burger, Stephan Sylvest Keller, Jenny Emnéus, Maria Tenje, Eugenio Parente, Kinga Zór, Jan Hanuš and Francesco Fumagalli. Their work appears in journals such as Advanced Functional Materials, Carbon and Biosensors and Bioelectronics.

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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