Mariele Gatto

116 papers and 3.3k indexed citations i.

About

Mariele Gatto is a scholar working on Rheumatology, Immunology and Epidemiology. According to data from OpenAlex, Mariele Gatto has authored 116 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Rheumatology, 60 papers in Immunology and 27 papers in Epidemiology. Recurrent topics in Mariele Gatto’s work include Systemic Lupus Erythematosus Research (69 papers), Monoclonal and Polyclonal Antibodies Research (21 papers) and Inflammatory Myopathies and Dermatomyositis (20 papers). Mariele Gatto is often cited by papers focused on Systemic Lupus Erythematosus Research (69 papers), Monoclonal and Polyclonal Antibodies Research (21 papers) and Inflammatory Myopathies and Dermatomyositis (20 papers). Mariele Gatto collaborates with scholars based in Italy, Sweden and United States. Mariele Gatto's co-authors include Andrea Doria, Luca Iaccarino, Leonardo Punzi, Margherita Zen, Anna Ghirardello, Silvano Bettio, Nicola Bassi, Linda Nalotto, Francesca Saccon and Maddalena Larosa and has published in prestigious journals such as The Journal of Experimental Medicine, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Mariele Gatto i

Fields of papers citing papers by Mariele Gatto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mariele Gatto

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025