Gaia Spadarella

30 papers and 711 indexed citations i.

About

Gaia Spadarella is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Gaia Spadarella has authored 30 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Epidemiology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Gaia Spadarella’s work include Radiomics and Machine Learning in Medical Imaging (8 papers), Atrial Fibrillation Management and Outcomes (5 papers) and Hemophilia Treatment and Research (5 papers). Gaia Spadarella is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Atrial Fibrillation Management and Outcomes (5 papers) and Hemophilia Treatment and Research (5 papers). Gaia Spadarella collaborates with scholars based in Italy, Germany and Russia. Gaia Spadarella's co-authors include Alessandro Di Minno, Renato Cuocolo, Lorenzo Ugga, Giovanni Di Minno, Roberta Lupoli, Elena Tremoli, Matteo Nicola Dario Di Minno, Pasquale Ambrosino, Mauro Pepi and B. Frigerio and has published in prestigious journals such as Clinical Endocrinology, European Radiology and Cancers.

In The Last Decade

Co-authorship network of co-authors of Gaia Spadarella i

Fields of papers citing papers by Gaia Spadarella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gaia Spadarella

Since Specialization
Citations

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