MP Fantini

About

MP Fantini is a scholar working on Oncology, Surgery and Artificial Intelligence. According to data from OpenAlex, MP Fantini has authored 6 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Oncology, 1 paper in Surgery and 1 paper in Artificial Intelligence. Recurrent topics in MP Fantini’s work include Cancer Treatment and Pharmacology (1 paper), Telemedicine and Telehealth Implementation (1 paper) and COVID-19 and healthcare impacts (1 paper). MP Fantini is often cited by papers focused on Cancer Treatment and Pharmacology (1 paper), Telemedicine and Telehealth Implementation (1 paper) and COVID-19 and healthcare impacts (1 paper). MP Fantini collaborates with scholars based in Italy and United States. MP Fantini's co-authors include Massimo Masi, Maria Zannotti, Claudio Franceschi, F Bonetti, Federico Licastro, Eugenio Mocchegiani, Ν. Fabris, Mariella Chiricolo, Paolo Paolucci and Marco Montalti and has published in prestigious journals such as The Journal of Immunology, European Journal of Public Health and PubMed.

In The Last Decade

Co-authorship network of co-authors of MP Fantini i

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Fields of papers citing papers by MP Fantini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by MP Fantini

Since Specialization

Citations

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