Oriana D’Ecclesiis
- Pathology and Forensic Medicine
- Infectious Diseases
- Nutrition and Dietetics
- Oncology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Sara GandiniSara RaimondiFederica BellerbaAurora GaetaSusanna ChioccaChiara MartinoliSaverio CainiPatrizia Gnagnarella
- Topics
- COVID-19 and Mental Health (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)MRI in cancer diagnosis (3 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Oriana D’Ecclesiis
24 papers receiving 220 citations
Peers
Comparison fields: 5 of 70
- Pathology and Forensic Medicine 46
- Infectious Diseases 46
- Nutrition and Dietetics 42
- Oncology 39
- Radiology, Nuclear Medicine and Imaging 39
Countries citing papers authored by Oriana D’Ecclesiis
This map shows the geographic impact of Oriana D’Ecclesiis'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 Oriana D’Ecclesiis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oriana D’Ecclesiis more than expected).
Fields of papers citing papers by Oriana D’Ecclesiis
This network shows the impact of papers produced by Oriana D’Ecclesiis. 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 Oriana D’Ecclesiis. The network helps show where Oriana D’Ecclesiis may publish in the future.
Co-authorship network of co-authors of Oriana D’Ecclesiis
This figure shows the co-authorship network connecting the top 25 collaborators of Oriana D’Ecclesiis. A scholar is included among the top collaborators of Oriana D’Ecclesiis 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 Oriana D’Ecclesiis. Oriana D’Ecclesiis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 12 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 15 | |
| 14 | 14 | |
| 15 | 30 | |
| 16 | 6 | |
| 17 | 13 | |
| 18 | 11 | |
| 19 | 54 | |
| 20 | 13 |
About Oriana D’Ecclesiis
Oriana D’Ecclesiis is a scholar working on Modeling and Simulation, Otorhinolaryngology and Pathology and Forensic Medicine, having authored 25 papers that have together received 227 indexed citations. Recurring topics across this work include COVID-19 and Mental Health (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Otorhinolaryngology (19 citations), Nutrition and Dietetics (42 citations) and Pathology and Forensic Medicine (46 citations). Oriana D’Ecclesiis has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Sara Gandini, Sara Raimondi, Federica Bellerba, Aurora Gaeta, Susanna Chiocca, Chiara Martinoli, Saverio Caini, Patrizia Gnagnarella, Stefania Canova and Roberta Palorini. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.