Francesco De Martino

12 papers and 103 indexed citations i.

About

Francesco De Martino is a scholar working on Molecular Biology, Artificial Intelligence and Oncology. According to data from OpenAlex, Francesco De Martino has authored 12 papers receiving a total of 103 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Oncology. Recurrent topics in Francesco De Martino’s work include Ocular Oncology and Treatments (3 papers), AI in cancer detection (3 papers) and Cell Image Analysis Techniques (2 papers). Francesco De Martino is often cited by papers focused on Ocular Oncology and Treatments (3 papers), AI in cancer detection (3 papers) and Cell Image Analysis Techniques (2 papers). Francesco De Martino collaborates with scholars based in Italy. Francesco De Martino's co-authors include Daniela Russo, Gennaro Ilardi, Francesco Merolla, Stefania Staibano, Silvia Varricchio, Massimo Mascolo, Rosa Maria Di Crescenzo, Andrea Pennisi, Daniele Nardi and Domenico D. Bloisi and has published in prestigious journals such as International Journal of Molecular Sciences, Cancers and Frontiers in Oncology.

In The Last Decade

Co-authorship network of co-authors of Francesco De Martino i

Fields of papers citing papers by Francesco De Martino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesco De Martino. 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 Francesco De Martino. The network helps show where Francesco De Martino may publish in the future.

Countries citing papers authored by Francesco De Martino

Since Specialization
Citations

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