V. Fioretti

5.0k total citations
148 papers, 2.2k citations indexed

About

V. Fioretti is a scholar working on Infectious Diseases, Nuclear and High Energy Physics and Food Science. According to data from OpenAlex, V. Fioretti has authored 148 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Infectious Diseases, 34 papers in Nuclear and High Energy Physics and 32 papers in Food Science. Recurrent topics in V. Fioretti's work include Salmonella and Campylobacter epidemiology (29 papers), Particle Detector Development and Performance (24 papers) and Viral gastroenteritis research and epidemiology (22 papers). V. Fioretti is often cited by papers focused on Salmonella and Campylobacter epidemiology (29 papers), Particle Detector Development and Performance (24 papers) and Viral gastroenteritis research and epidemiology (22 papers). V. Fioretti collaborates with scholars based in Italy, Germany and United Kingdom. V. Fioretti's co-authors include Ludovico Dipineto, Lucia Francesca Menna, Luca Borrelli, Antonio Santaniello, Antonino Pace, D. J. Alexander, Lynn Plowright, Jill Banks, Lorena Coretti and Paolo Cordioli and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Scientific Reports.

In The Last Decade

V. Fioretti

134 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Fioretti Italy 22 544 454 330 329 297 148 2.2k
Michael R. Hutchings United Kingdom 38 894 1.6× 882 1.9× 145 0.4× 900 2.7× 458 1.5× 132 4.4k
Laura L. Hungerford United States 28 603 1.1× 585 1.3× 227 0.7× 407 1.2× 104 0.4× 105 2.5k
H.K. Parmentier Netherlands 34 278 0.5× 168 0.4× 181 0.5× 374 1.1× 388 1.3× 113 3.7k
Amir Abdulmawjood Germany 26 524 1.0× 585 1.3× 611 1.9× 271 0.8× 817 2.8× 141 2.7k
David W. Hird United States 34 349 0.6× 482 1.1× 1.1k 3.3× 698 2.1× 196 0.7× 127 3.4k
Torsten Mörner Sweden 24 692 1.3× 235 0.5× 107 0.3× 289 0.9× 298 1.0× 67 1.8k
Jack C. Rhyan United States 34 654 1.2× 697 1.5× 404 1.2× 1.1k 3.3× 322 1.1× 116 3.0k
Ignasi Marco Spain 31 622 1.1× 421 0.9× 69 0.2× 788 2.4× 117 0.4× 158 3.0k
Chelsea G. Himsworth Canada 21 742 1.4× 192 0.4× 106 0.3× 138 0.4× 119 0.4× 92 1.8k
Elias Papadopoulos Greece 29 881 1.6× 225 0.5× 113 0.3× 328 1.0× 149 0.5× 185 3.4k

Countries citing papers authored by V. Fioretti

Since Specialization
Citations

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

Fields of papers citing papers by V. Fioretti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Fioretti

This figure shows the co-authorship network connecting the top 25 collaborators of V. Fioretti. A scholar is included among the top collaborators of V. Fioretti 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 V. Fioretti. V. Fioretti 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.
Borrelli, Luca, et al.. (2025). Antimicrobial resistance in wild game mammals: a glimpse into the contamination of wild habitats in a systematic review and meta-analysis. BMC Veterinary Research. 21(1). 14–14. 2 indexed citations
2.
Ciucă, Lavinia, Ludovico Dipineto, Laura Rinaldi, et al.. (2025). Exposure to selected pathogens in wild mammals from a rescue and rehabilitation center in southern Italy. One Health. 20. 101049–101049.
3.
Buono, Francesco, Nicola D’Alessio, A Pesce, et al.. (2024). Trichinella spp. in wolves (Canis lupus) and red foxes (Vulpes vulpes) of southern Italy. Research in Veterinary Science. 179. 105381–105381.
4.
Parmiggiani, N., A. Bulgarelli, A. de Rosa, et al.. (2024). A New Deep Learning Model to Detect Gamma-Ray Bursts in the AGILE Anticoincidence System. The Astrophysical Journal. 973(1). 63–63. 1 indexed citations
5.
Bulgarelli, A., Sami Caroff, G. De Cesare, et al.. (2024). The science alert generation system of the Cherenkov Telescope Array Observatory. SPIRE - Sciences Po Institutional REpository. 84–84.
6.
Russo, Tamara Pasqualina, et al.. (2024). Wild birds and the ecology of antimicrobial resistance: an approach to monitoring. Journal of Wildlife Management. 88(5). 4 indexed citations
7.
Parmiggiani, N., A. Bulgarelli, A. Ursi, et al.. (2023). A Deep-learning Anomaly-detection Method to Identify Gamma-Ray Bursts in the Ratemeters of the AGILE Anticoincidence System. The Astrophysical Journal. 945(2). 106–106. 8 indexed citations
8.
Lombardini, Marco, et al.. (2023). Associating Metrics of Hunting Effort with Hunting Rate: A Case Study with the Wild Boar Sus scrofa. Sustainability. 15(8). 6819–6819. 1 indexed citations
9.
Legnardi, Matteo, L. Grassi, Giovanni Franzo, et al.. (2022). Detection and Molecular Characterization of a Novel Species of Circovirus in a Tawny Owl (Strix aluco) in Southern Italy. Animals. 12(2). 135–135. 2 indexed citations
10.
Parmiggiani, N., A. Bulgarelli, V. Fioretti, et al.. (2021). A Deep Learning Method for AGILE-GRID Gamma-Ray Burst Detection. The Astrophysical Journal. 914(1). 67–67. 7 indexed citations
11.
Cuomo, Mariella, Luca Borrelli, Rosa Della Monica, et al.. (2021). DNA Methylation Profiles of Tph1A and BDNF in Gut and Brain of L. Rhamnosus-Treated Zebrafish. Biomolecules. 11(2). 142–142. 21 indexed citations
12.
Sgroi, Giovanni, Antonio Varcasia, Nicola D’Alessio, et al.. (2020). Taenia hydatigenacysticercosis in wild boar (Sus scrofa) from southern Italy: an epidemiological and molecular survey. Parasitology. 147(14). 1636–1642. 12 indexed citations
13.
Pilia, M., C. Pittori, M. Tavani, et al.. (2019). LIGO/Virgo S190814bv: Upper limits from AGILE-GRID observations. GRB Coordinates Network. 25335. 1.
14.
Russo, Tamara Pasqualina, Antonino Pace, Luca Borrelli, et al.. (2019). Microbiological survey of sugar gliders (Petaurus breviceps) kept as pets in Italy. Letters in Applied Microbiology. 69(6). 399–402. 1 indexed citations
15.
Lucarelli, F., F. Verrecchia, G. Piano, et al.. (2019). GRB 190501A: AGILE/GRID detection.. GCN. 24361. 1.
16.
Ursi, A., M. Tavani, M. Marisaldi, et al.. (2018). GRB 180111A: AGILE/MCAL detection.. IRIS UNIMORE (University of Modena and Reggio Emilia). 22321. 1.
17.
Conforti, Vito, M. Trifoglio, F. Gianotti, et al.. (2017). The Camera Server of the ASTRI SST-2M Telescopes Proposed for the Cherenkov Telescope Array. ASPC. 512. 635. 1 indexed citations
18.
Santaniello, Antonio, et al.. (2006). Detection of Shiga toxin-producing Escherichia coli O157 in living layer hens.. 1 indexed citations
19.
Magnino, Simone, Giovanni Conzo, V. Fioretti, et al.. (1996). An Outbreak of Pacheco's Parrot Disease in Psittacine Birds Recently Imported to Campania, Italy: Isolation of Psittacid Herpesvirus 2. Journal of Veterinary Medicine Series B. 43(1-10). 631–637. 9 indexed citations
20.
Fioretti, V.. (1961). Die Gaumenmandel : Darstellung der Biologie und Physiopathologie. Thieme eBooks. 6 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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