Michela Gabelloni
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 10%
- Biomedical Engineering
- Surgery
- Oncology
- Co-authors
- Emanuele NeriLorenzo FaggioniDania CioniCamilla ScapicchioLuca SabaAndrea BarucciVincenza GranataFrancesca Coppola
- Topics
- Radiomics and Machine Learning in Medical Imaging (19 papers)Advanced X-ray and CT Imaging (9 papers)Hepatocellular Carcinoma Treatment and Prognosis (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Environmental Research and Public HealthFrontiers in Psychology
In The Last Decade
Michela Gabelloni
42 papers receiving 931 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Radiology, Nuclear Medicine and Imaging 650
- Pulmonary and Respiratory Medicine 248
- Biomedical Engineering 212
- Surgery 192
- Oncology 178
Countries citing papers authored by Michela Gabelloni
This map shows the geographic impact of Michela Gabelloni'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 Michela Gabelloni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michela Gabelloni more than expected).
Fields of papers citing papers by Michela Gabelloni
This network shows the impact of papers produced by Michela Gabelloni. 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 Michela Gabelloni. The network helps show where Michela Gabelloni may publish in the future.
Co-authorship network of co-authors of Michela Gabelloni
This figure shows the co-authorship network connecting the top 25 collaborators of Michela Gabelloni. A scholar is included among the top collaborators of Michela Gabelloni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michela Gabelloni. Michela Gabelloni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 18 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 26 | |
| 10 | 29 | |
| 11 | 7 | |
| 12 | 7 | |
| 13 | 13 | |
| 14 | 14 | |
| 15 | A deep look into radiomicsbreakdown → | 259 |
| 16 | 39 | |
| 17 | 8 | |
| 18 | 37 | |
| 19 | 8 | |
| 20 | 43 |
About Michela Gabelloni
Michela Gabelloni is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 42 papers that have together received 939 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (19 papers), Advanced X-ray and CT Imaging (9 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). The work is most often cited by research in Health Informatics (69 citations), Radiology, Nuclear Medicine and Imaging (650 citations) and Hepatology (63 citations). Michela Gabelloni has collaborated with scholars based in Italy, Spain and Austria. Frequent co-authors include Emanuele Neri, Lorenzo Faggioni, Dania Cioni, Camilla Scapicchio, Luca Saba, Andrea Barucci, Vincenza Granata, Francesca Coppola, Giacomo Aringhieri and Roberta Fusco. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Frontiers in Psychology.
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.