Angelo Mazza

2.7k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

Angelo Mazza is a scholar working on Infectious Diseases, Surgery and Obstetrics and Gynecology. According to data from OpenAlex, Angelo Mazza has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Surgery and 3 papers in Obstetrics and Gynecology. Recurrent topics in Angelo Mazza's work include COVID-19 Clinical Research Studies (5 papers), Kawasaki Disease and Coronary Complications (4 papers) and COVID-19 Impact on Reproduction (3 papers). Angelo Mazza is often cited by papers focused on COVID-19 Clinical Research Studies (5 papers), Kawasaki Disease and Coronary Complications (4 papers) and COVID-19 Impact on Reproduction (3 papers). Angelo Mazza collaborates with scholars based in Italy. Angelo Mazza's co-authors include Lorenzo D’Antiga, Annalisa Gervasoni, Ezio Bonanomi, Maurizio Ruggeri, Laura Martelli, Matteo Ciuffreda, Lucio Verdoni, Emanuele Nicastro, Angelo Di Giorgio and Ahmad Kantar and has published in prestigious journals such as The Lancet, The Journal of Pediatrics and Current Opinion in Immunology.

In The Last Decade

Angelo Mazza

6 papers receiving 1.6k citations

Hit Papers

An outbreak of severe Kawasaki-like disease at the Italia... 2020 2026 2022 2024 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angelo Mazza Italy 4 1.0k 890 344 331 273 8 1.6k
Lucio Verdoni Italy 6 1.1k 1.0× 900 1.0× 352 1.0× 379 1.1× 279 1.0× 9 1.7k
Maurizio Ruggeri Italy 8 1.0k 1.0× 963 1.1× 342 1.0× 347 1.0× 274 1.0× 14 1.8k
Ezio Bonanomi Italy 12 1.1k 1.1× 922 1.0× 341 1.0× 394 1.2× 277 1.0× 44 2.0k
Priyen Shah United Kingdom 3 1.1k 1.1× 687 0.8× 306 0.9× 353 1.1× 328 1.2× 3 1.4k
Adriana Tremoulet United States 6 1.2k 1.1× 690 0.8× 306 0.9× 367 1.1× 329 1.2× 7 1.5k
Matteo Ciuffreda Italy 12 1.2k 1.1× 880 1.0× 367 1.1× 483 1.5× 294 1.1× 35 2.0k
Annalisa Gervasoni Italy 7 1.0k 1.0× 878 1.0× 341 1.0× 343 1.0× 275 1.0× 12 1.7k
Marilyn McDougall United Kingdom 6 970 0.9× 661 0.7× 268 0.8× 323 1.0× 270 1.0× 14 1.4k
Mark Gorelik United States 14 1.2k 1.2× 596 0.7× 243 0.7× 436 1.3× 324 1.2× 31 1.8k
Filip Kučera United Kingdom 6 984 0.9× 611 0.7× 274 0.8× 304 0.9× 269 1.0× 18 1.3k

Countries citing papers authored by Angelo Mazza

Since Specialization
Citations

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

Fields of papers citing papers by Angelo Mazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelo Mazza

This figure shows the co-authorship network connecting the top 25 collaborators of Angelo Mazza. A scholar is included among the top collaborators of Angelo Mazza 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 Angelo Mazza. Angelo Mazza 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.
Verdoni, Lucio, Angelo Mazza, Laura Martelli, et al.. (2025). The outcome of severe MIS-C managed at the Italian epicenter of the SARS-CoV-2 epidemic: a follow-up study of 50 consecutive patients. Current Opinion in Immunology. 97. 102659–102659.
2.
Caldarelli, Valeria, Federica Porcaro, Paola Di Filippo, et al.. (2022). Long-Term Ventilation in Children with Medical Complexity: A Challenging Issue. Children. 9(11). 1700–1700. 3 indexed citations
3.
Mazza, Angelo, et al.. (2021). Impact of Ethnicity on COVID-19 Related Hospitalizations in Children During the First Pandemic Wave in Northern Italy. Frontiers in Pediatrics. 9. 625398–625398. 2 indexed citations
4.
Mazza, Angelo, Angelo Di Giorgio, Laura Martelli, et al.. (2021). Patterns of Presentation of SARS-CoV-2 Infection in Children. Experience at the Italian Epicentre of the Pandemic. Frontiers in Pediatrics. 9. 629040–629040. 4 indexed citations
5.
Nicastro, Emanuele, Angelo Mazza, Annalisa Gervasoni, Angelo Di Giorgio, & Lorenzo D’Antiga. (2020). A Pediatric Emergency Department Protocol to Avoid Intrahospital Spread of SARS-CoV-2 during the Outbreak in Bergamo, Italy. The Journal of Pediatrics. 222. 231–235. 18 indexed citations
6.
Verdoni, Lucio, Angelo Mazza, Annalisa Gervasoni, et al.. (2020). An outbreak of severe Kawasaki-like disease at the Italian epicentre of the SARS-CoV-2 epidemic: an observational cohort study. The Lancet. 395(10239). 1771–1778. 1564 indexed citations breakdown →
7.
Kantar, Ahmad, et al.. (2020). COVID-19 and children with Down syndrome: is there any real reason to worry? Two case reports with severe course. BMC Pediatrics. 20(1). 561–561. 21 indexed citations
8.
Drago, Gaspare, et al.. (1994). [Total gastrectomy: a comparison between manual and mechanical sutures].. PubMed. 49(1-2). 21–5. 1 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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