M. F. Loreto

12 papers and 792 indexed citations i.

About

M. F. Loreto is a scholar working on Immunology, Epidemiology and Physiology. According to data from OpenAlex, M. F. Loreto has authored 12 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 3 papers in Epidemiology and 2 papers in Physiology. Recurrent topics in M. F. Loreto’s work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and Influenza Virus Research Studies (2 papers). M. F. Loreto is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and Influenza Virus Research Studies (2 papers). M. F. Loreto collaborates with scholars based in Italy, United States and Croatia. M. F. Loreto's co-authors include Massimo De Martinis, Lia Ginaldi, Daniela Quaglino, L. Marini, Marco Modesti, Annamaria D’Ostilio, Marcello Corsi, J. C. Pechèré, Marie‐Laure Michel and Janine Michel and has published in prestigious journals such as The Journal of Immunology, Life Sciences and AJP Gastrointestinal and Liver Physiology.

In The Last Decade

Co-authorship network of co-authors of M. F. Loreto i

Fields of papers citing papers by M. F. Loreto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. F. Loreto. 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 M. F. Loreto. The network helps show where M. F. Loreto may publish in the future.

Countries citing papers authored by M. F. Loreto

Since Specialization
Citations

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