Maria Rita Migliorino

40 papers and 2.2k indexed citations i.

About

Maria Rita Migliorino is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Maria Rita Migliorino has authored 40 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Pulmonary and Respiratory Medicine, 32 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Maria Rita Migliorino’s work include Lung Cancer Treatments and Mutations (34 papers), Lung Cancer Research Studies (17 papers) and Lung Cancer Diagnosis and Treatment (14 papers). Maria Rita Migliorino is often cited by papers focused on Lung Cancer Treatments and Mutations (34 papers), Lung Cancer Research Studies (17 papers) and Lung Cancer Diagnosis and Treatment (14 papers). Maria Rita Migliorino collaborates with scholars based in Italy, United States and South Korea. Maria Rita Migliorino's co-authors include Yi−Long Wu, Adam Płużański, Ki Hyeong Lee, Kazuhiko Nakagawa, Tony Mok, Rafael Rosell, Xiangdong Zhou, Ying Cheng, Seiji Niho and J. Corral and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and The Lancet Oncology.

In The Last Decade

Co-authorship network of co-authors of Maria Rita Migliorino i

Fields of papers citing papers by Maria Rita Migliorino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Rita Migliorino. 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 Maria Rita Migliorino. The network helps show where Maria Rita Migliorino may publish in the future.

Countries citing papers authored by Maria Rita Migliorino

Since Specialization
Citations

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