Marco Giannetto

1.9k total citations
72 papers, 1.5k citations indexed

About

Marco Giannetto is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Marco Giannetto has authored 72 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 31 papers in Biomedical Engineering and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Marco Giannetto's work include Advanced biosensing and bioanalysis techniques (26 papers), Biosensors and Analytical Detection (18 papers) and Electrochemical Analysis and Applications (13 papers). Marco Giannetto is often cited by papers focused on Advanced biosensing and bioanalysis techniques (26 papers), Biosensors and Analytical Detection (18 papers) and Electrochemical Analysis and Applications (13 papers). Marco Giannetto collaborates with scholars based in Italy, Spain and United States. Marco Giannetto's co-authors include Maria Careri, Monica Mattarozzi, Giovanni Mori, Simone Fortunati, Federica Bianchi, Renato Seeber, Giorgia Mori, Ilaria De Munari, Valentina Bianchi and Alessandro Mangia and has published in prestigious journals such as Analytical Chemistry, Food Chemistry and ACS Applied Materials & Interfaces.

In The Last Decade

Marco Giannetto

67 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marco Giannetto Italy 24 577 536 359 211 203 72 1.5k
Reza Hajian Iran 22 838 1.5× 483 0.9× 516 1.4× 100 0.5× 353 1.7× 39 1.7k
Yunchun Liu China 23 745 1.3× 591 1.1× 390 1.1× 181 0.9× 228 1.1× 48 1.7k
Sadagopan Krishnan United States 23 939 1.6× 783 1.5× 740 2.1× 186 0.9× 363 1.8× 81 2.0k
Ying‐Lin Zhou China 29 1.4k 2.4× 728 1.4× 695 1.9× 178 0.8× 466 2.3× 98 2.7k
Wei Liao China 21 817 1.4× 473 0.9× 244 0.7× 377 1.8× 76 0.4× 56 1.6k
Yıldız Uludağ Türkiye 20 839 1.5× 956 1.8× 276 0.8× 183 0.9× 72 0.4× 31 1.6k
Yuh‐Shyong Yang Taiwan 28 1.1k 1.9× 924 1.7× 733 2.0× 103 0.5× 79 0.4× 114 2.3k
Alex Fragoso Spain 31 1.3k 2.3× 666 1.2× 782 2.2× 602 2.9× 304 1.5× 107 2.9k
Bingying Jiang China 28 1.6k 2.8× 877 1.6× 347 1.0× 230 1.1× 263 1.3× 99 2.1k
Jiří Kudr Czechia 19 563 1.0× 613 1.1× 312 0.9× 93 0.4× 177 0.9× 46 1.6k

Countries citing papers authored by Marco Giannetto

Since Specialization
Citations

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

Fields of papers citing papers by Marco Giannetto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Giannetto

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Giannetto. A scholar is included among the top collaborators of Marco Giannetto 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 Marco Giannetto. Marco Giannetto 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
1.
Mena, Pedro, Marco Giannetto, Simone Fortunati, et al.. (2025). Harnessing Vinylogy with Radicals: Photoinduced γ‐Benzylation Reactions of 2‐Silyloxyfurans. Advanced Synthesis & Catalysis. 367(16).
2.
Mattarozzi, Monica, et al.. (2025). Machine learning and evolutionary computation on e-nose datasets: A preliminary approach to ergot alkaloid detection in wheat. Chemometrics and Intelligent Laboratory Systems. 268. 105574–105574.
3.
Chamorro-García, Alejandro, Simone Fortunati, Marco Giannetto, et al.. (2024). Synthetic Protein-to-DNA Input Exchange for Protease Activity Detection Using CRISPR-Cas12a. Analytical Chemistry. 96(47). 18645–18654. 7 indexed citations
4.
Bianchi, Valentina, Stefano Cagnoni, Andrea Boni, et al.. (2024). Model-Based design of a Machine Learning algorithm for on-site food authenticity testing. 43–47. 1 indexed citations
5.
Fortunati, Simone, Monica Mattarozzi, Andrea Boni, et al.. (2024). Evaluation of a Voltametric E-Tongue Combined with Data Preprocessing for Fast and Effective Machine Learning-Based Classification of Tomato Purées by Cultivar. Sensors. 24(11). 3586–3586. 5 indexed citations
6.
Mattarozzi, Monica, et al.. (2022). Metrological traceability in process analytical technologies and point-of-need technologies for food safety and quality control: not a straightforward issue. Analytical and Bioanalytical Chemistry. 415(1). 119–135. 11 indexed citations
7.
Fortunati, Simone, Marco Giannetto, Andrea Rozzi, Roberto Corradini, & Maria Careri. (2021). PNA-functionalized magnetic microbeads as substrates for enzyme-labelled voltammetric genoassay for DNA sensing applied to identification of GMO in food. Analytica Chimica Acta. 1153. 338297–338297. 7 indexed citations
8.
Mattarozzi, Monica, Marco Giannetto, & Maria Careri. (2020). Electrochemical immunomagnetic assay as biosensing strategy for determination of ovarian cancer antigen HE4 in human serum. Talanta. 217. 120991–120991. 17 indexed citations
9.
Fortunati, Simone, et al.. (2019). Single-Walled Carbon Nanotubes as Enhancing Substrates for PNA-Based Amperometric Genosensors. Sensors. 19(3). 588–588. 15 indexed citations
12.
Giannetto, Marco, et al.. (2016). Competitive immunosensor based on gliadin immobilization on disposable carbon-nanogold screen-printed electrodes for rapid determination of celiotoxic prolamins. Analytical and Bioanalytical Chemistry. 408(26). 7289–7298. 21 indexed citations
13.
Orsi, Davide, et al.. (2016). Electrochemical decompatibilisation leads to morphology rearrangements in host–guest polymer blend films. Soft Matter. 12(24). 5353–5358. 2 indexed citations
15.
Feigenbaum, Alexandre, Roberta Pinalli, Marco Giannetto, & Susan Barlow. (2014). Reliability of the TTC approach: Learning from inclusion of pesticide active substances in the supporting database. Food and Chemical Toxicology. 75. 24–38. 22 indexed citations
18.
Giannetto, Marco, Elisabetta Maiolini, Elida Nora Ferri, et al.. (2012). Competitive amperometric immunosensor based on covalent linking of a protein conjugate to dendrimer-functionalised nanogold substrate for the determination of 2,4,6-trinitrotoluene. Analytical and Bioanalytical Chemistry. 405(2-3). 737–743. 14 indexed citations
19.
Giannetto, Marco, Lisa Elviri, Maria Careri, Alessandro Mangia, & Giovanni Mori. (2010). A voltammetric immunosensor based on nanobiocomposite materials for the determination of alpha-fetoprotein in serum. Biosensors and Bioelectronics. 26(5). 2232–2236. 65 indexed citations
20.
Bianchi, Federica, et al.. (2007). Multivariate calibration on NIR data: Development of a model for the rapid evaluation of ethanol content in bakery products. Analytica Chimica Acta. 603(1). 8–12. 9 indexed citations

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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