Fabio Lisi

800 total citations · 1 hit paper
25 papers, 601 citations indexed

About

Fabio Lisi is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Fabio Lisi has authored 25 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Biomedical Engineering and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Fabio Lisi's work include Advanced Biosensing Techniques and Applications (4 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Fabio Lisi is often cited by papers focused on Advanced Biosensing Techniques and Applications (4 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Fabio Lisi collaborates with scholars based in Australia, Japan and Italy. Fabio Lisi's co-authors include J. Justin Gooding, Rona Chandrawati, Joshua R. Peterson, Alexander N. Zelikin, Paolo Falcaro, Anita J. Hill, Kang Liang, Richard D. Tilley, Luca Malfatti and Padmavathy Bakthavathsalam and has published in prestigious journals such as Advanced Materials, Nature Communications and Chemistry of Materials.

In The Last Decade

Fabio Lisi

24 papers receiving 596 citations

Hit Papers

Machine learning in point-of-care testing: innovations, c... 2025 2026 2025 10 20 30 40

Peers

Fabio Lisi
Comparison fields: 5 of 109
  • Materials Chemistry 204
  • Biomedical Engineering 179
  • Molecular Biology 163
  • Inorganic Chemistry 142
  • Electrical and Electronic Engineering 128
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Pierre Karam Lebanon View profile →
Citations per field, relative to Fabio Lisi
Fabio Lisi · 1×
Citations per year, relative to Fabio Lisi
Fabio Lisi · 1×

Countries citing papers authored by Fabio Lisi

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Lisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Lisi

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Lisi. A scholar is included among the top collaborators of Fabio Lisi 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 Fabio Lisi. Fabio Lisi 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
Machine learning in point-of-care testing: innovations, challenges, and opportunities breakdown →
47
2 0
3 4
4 4
5 2
6 1
7 47
8 77
9 1
10 5
11 14
12 33
13 51
14 19
15 84
16 23
17 12
18 18
19 64
20 8

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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