Daniela De Martino

15 papers and 428 indexed citations i.

About

Daniela De Martino is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Daniela De Martino has authored 15 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Daniela De Martino’s work include Cancer Mechanisms and Therapy (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Cancer-related Molecular Pathways (2 papers). Daniela De Martino is often cited by papers focused on Cancer Mechanisms and Therapy (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Cancer-related Molecular Pathways (2 papers). Daniela De Martino collaborates with scholars based in Italy, United States and Germany. Daniela De Martino's co-authors include Jose Javier Bravo‐Cordero, Massimo Zollo, Michela Ranieri, Valeria Di Dato, Antonio Di Cristofano, Natascia Marino, Daniela Spano, Luigi Navas, Lucia Liguori and Viviana Vastolo and has published in prestigious journals such as Cancer Research, Nature Chemical Biology and Cancer Letters.

In The Last Decade

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

Fields of papers citing papers by Daniela De Martino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela De Martino

Since Specialization
Citations

This map shows the geographic impact of Daniela 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 Daniela 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 Daniela 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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