Leonardo Setti

55 papers receiving 2.1k citations

Leonardo Setti's Hit Papers

SARS-Cov-2RNA found on particulate matter of Bergamo in Northern Italy: First evidence 2020 · 368 citations
3680+2+4Years since publication100200300

Peers

Leonardo Setti
Comparison fields: 5 of 136
  • Modeling and Simulation 194
  • Health, Toxicology and Mutagenesis 318
  • Pollution 193
  • Biotechnology 138
  • Global and Planetary Change 317
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Citations per field
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Citations per year

Countries citing papers authored by Leonardo Setti

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Setti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Leonardo Setti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Leonardo Setti Line = papers co-authored together Leonardo Setti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SARS-Cov-2RNA found on particulate matter of Bergamo in Northern Italy: First evidence
Hit paper breakdown →
2020368
2 2020172
3 2004169
4 202091
5 200172
6 200767
7 200767
8 199862
9 199958
10 201257
11 201750
12 200450
13 200949
14 200446
15 199944
16 200743
17 200743
18 199340
19 200737
20 201635

About Leonardo Setti

Leonardo Setti is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Polymers and Plastics, Molecular Biology and Mechanical Engineering, having authored 59 papers that have together received 2.1k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (9 papers), Conducting polymers and applications (9 papers), Catalysis and Hydrodesulfurization Studies (9 papers), Microbial bioremediation and biosurfactants (5 papers), Microbial Fuel Cells and Bioremediation (4 papers), Enzyme Catalysis and Immobilization (4 papers), Biochemical and biochemical processes (3 papers) and TiO2 Photocatalysis and Solar Cells (3 papers). The work is most often cited by research in Modeling and Simulation (194 citations), Health, Toxicology and Mutagenesis (318 citations), Pollution (193 citations), Biotechnology (138 citations) and Global and Planetary Change (317 citations). Leonardo Setti has collaborated with scholars based in Italy, Spain and Romania. Frequent co-authors include Pier Giorgio Pifferi, Alessandro Fraleoni‐Morgera, Gaetano Lanzarini, Barbara Ballarin, Fabrizio Passarini, Prisco Piscitelli, Pierluigi Barbieri, Gianluigi de Gennaro, Alessandro Miani and Carlo Piana. Their work appears in journals such as Biotechnology Letters, Enzyme and Microbial Technology, Process Biochemistry, Canadian Journal of Microbiology and Bioresource Technology.

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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