Francesca Cutrupi

652 total citations
8 papers, 390 citations indexed

About

Francesca Cutrupi is a scholar working on Infectious Diseases, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Francesca Cutrupi has authored 8 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 5 papers in Biomedical Engineering and 2 papers in Molecular Biology. Recurrent topics in Francesca Cutrupi's work include SARS-CoV-2 detection and testing (7 papers), Biosensors and Analytical Detection (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Francesca Cutrupi is often cited by papers focused on SARS-CoV-2 detection and testing (7 papers), Biosensors and Analytical Detection (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Francesca Cutrupi collaborates with scholars based in Italy, Austria and Guatemala. Francesca Cutrupi's co-authors include Paola Foladori, Serena Manara, Giuseppina La Rosa, Federica Pinto, Laura Bruni, Francesca Malpei, Nicola Segata, Elisabetta Suffredini, Olfa Mahjoub and Adriana Osińska and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Environmental Science and Pollution Research.

In The Last Decade

Francesca Cutrupi

8 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesca Cutrupi Italy 6 328 155 68 54 42 8 390
Anna Gigantiello Italy 3 349 1.1× 146 0.9× 67 1.0× 40 0.7× 55 1.3× 4 423
Janvi Raval India 3 325 1.0× 156 1.0× 48 0.7× 62 1.1× 37 0.9× 4 380
Shalina Shahin United States 4 381 1.2× 223 1.4× 67 1.0× 75 1.4× 36 0.9× 8 458
Lauren Ward United States 6 381 1.2× 218 1.4× 67 1.0× 74 1.4× 37 0.9× 8 447
Kyle Curtis United States 5 323 1.0× 202 1.3× 45 0.7× 66 1.2× 23 0.5× 9 380
Newsha Ghaeli United States 5 661 2.0× 353 2.3× 110 1.6× 110 2.0× 66 1.6× 5 734
Aidan R. Foster United States 5 337 1.0× 214 1.4× 62 0.9× 58 1.1× 21 0.5× 6 363
Sarah M. Prasek United States 5 344 1.0× 217 1.4× 64 0.9× 59 1.1× 22 0.5× 8 369
Jamie Mitchell United States 3 309 0.9× 196 1.3× 40 0.6× 62 1.1× 23 0.5× 5 341
Laura Roldan-Hernandez United States 7 413 1.3× 247 1.6× 50 0.7× 90 1.7× 24 0.6× 9 457

Countries citing papers authored by Francesca Cutrupi

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Cutrupi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Cutrupi

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

All Works

8 of 8 papers shown
1.
Foladori, Paola, et al.. (2024). Normalization of viral loads in Wastewater-Based Epidemiology using routine parameters: One year monitoring of SARS-CoV-2 in urban and tourist sewersheds. Journal of Hazardous Materials. 478. 135352–135352. 7 indexed citations
2.
Cutrupi, Francesca, et al.. (2024). Towards monitoring the invisible threat: a global approach for tackling AMR in water resources and environment. Frontiers in Water. 6. 7 indexed citations
3.
Cutrupi, Francesca, et al.. (2023). SARS-CoV-2 removal in municipal wastewater treatment plants: Focus on conventional activated sludge, membrane bioreactor and anaerobic digestion. The Science of The Total Environment. 906. 167434–167434. 4 indexed citations
4.
Cutrupi, Francesca, Michele Rossi, Elisa Poznanski, et al.. (2023). Evaluation of concentration procedures, sample pre-treatment, and storage condition for the detection of SARS-CoV-2 in wastewater. Environmental Science and Pollution Research. 30(48). 106660–106670. 5 indexed citations
5.
Cutrupi, Francesca, et al.. (2022). The wave of the SARS-CoV-2 Omicron variant resulted in a rapid spike and decline as highlighted by municipal wastewater surveillance. Environmental Technology & Innovation. 28. 102667–102667. 22 indexed citations
6.
Cutrupi, Francesca, et al.. (2021). Surveillance of SARS-CoV-2 in extensive monitoring of municipal wastewater: key issues to yield reliable results. Water Science & Technology. 84(12). 3508–3514. 7 indexed citations
7.
Foladori, Paola, et al.. (2021). Coronaviruses and SARS-CoV-2 in sewerage and their removal: Step by step in wastewater treatment plants. Environmental Research. 207. 112204–112204. 34 indexed citations
8.
Foladori, Paola, Francesca Cutrupi, Nicola Segata, et al.. (2020). SARS-CoV-2 from faeces to wastewater treatment: What do we know? A review. The Science of The Total Environment. 743. 140444–140444. 304 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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