S. Cima

18 papers and 222 indexed citations i.

About

S. Cima is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, S. Cima has authored 18 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Oncology. Recurrent topics in S. Cima’s work include Breast Cancer Treatment Studies (4 papers), Advanced Radiotherapy Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). S. Cima is often cited by papers focused on Breast Cancer Treatment Studies (4 papers), Advanced Radiotherapy Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). S. Cima collaborates with scholars based in Italy, Switzerland and United States. S. Cima's co-authors include Andrea Galuppi, Pierandrea De Iaco, Anna Myriam Perrone, A.G. Morganti, Arianna Heyer, Marco Ceresoli, Gabriela Elisa Nita, S. Cammelli, Luca Ansaloni and Giulia Montori and has published in prestigious journals such as World Journal of Gastroenterology, Radiotherapy and Oncology and Gynecologic Oncology.

In The Last Decade

Co-authorship network of co-authors of S. Cima i

Fields of papers citing papers by S. Cima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by S. Cima

Since Specialization
Citations

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