Massimo Scaglia

23 papers and 469 indexed citations i.

About

Massimo Scaglia is a scholar working on Parasitology, Endocrinology and Infectious Diseases. According to data from OpenAlex, Massimo Scaglia has authored 23 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Parasitology, 8 papers in Endocrinology and 7 papers in Infectious Diseases. Recurrent topics in Massimo Scaglia’s work include Parasitic Infections and Diagnostics (14 papers), Amoebic Infections and Treatments (6 papers) and Toxoplasma gondii Research Studies (6 papers). Massimo Scaglia is often cited by papers focused on Parasitic Infections and Diagnostics (14 papers), Amoebic Infections and Treatments (6 papers) and Toxoplasma gondii Research Studies (6 papers). Massimo Scaglia collaborates with scholars based in Italy, United States and Germany. Massimo Scaglia's co-authors include S. Gatti, C. Cevini, Govinda S. Visvesvara, Antonella Bruno, Lihua Xiao, Luciano Sacchi, R. Michel, Pierre Pernin, Johan F. De Jonckheere and A. M. Bernuzzi and has published in prestigious journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy and Emerging infectious diseases.

In The Last Decade

Co-authorship network of co-authors of Massimo Scaglia i

Fields of papers citing papers by Massimo Scaglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Scaglia

Since Specialization
Citations

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

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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2025