Michaela Cellina
- Health Informatics top 1%
- Otorhinolaryngology top 2%
- Sinusitis and nasal conditions 20
- Oral Surgery top 2%
- Dental Radiography and Imaging 10
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- Radiomics and Machine Learning in Medical Imaging 24
- COVID-19 diagnosis using AI 10
- Archeology top 2%
- Forensic Anthropology and Bioarchaeology Studies 9
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- Head and Neck Surgical Oncology 14
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- Advanced X-ray and CT Imaging 14
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- Lymphatic System and Diseases 10
- Co-authors
- Giancarlo OlivaDaniele GibelliMaurizio CèC MartinenghiChiarella SforzaChiara FloridiAntonio Giancarlo OlivaGiovanni Irmici
- Journals
- La radiologia medica (9 papers)Applied Sciences (9 papers)Journal of Craniofacial Surgery (6 papers)
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
Michaela Cellina
112 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 130
- Health Informatics 139
- Otorhinolaryngology 184
- Oral Surgery 197
- Radiology, Nuclear Medicine and Imaging 610
- Archeology 131
Countries citing papers authored by Michaela Cellina
This map shows the geographic impact of Michaela Cellina'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 Michaela Cellina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Cellina more than expected).
Fields of papers citing papers by Michaela Cellina
This network shows the impact of papers produced by Michaela Cellina. 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 Michaela Cellina. The network helps show where Michaela Cellina may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michaela Cellina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 7 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 17 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 72 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 15 | |
| 16 | 2020 | 1 | |
| 17 | 2020 | 8 | |
| 18 | 2020 | 4 | |
| 19 | 2019 | 42 | |
| 20 | 2018 | 36 |
About Michaela Cellina
Michaela Cellina is a scholar working on Otorhinolaryngology, Health Informatics, Radiology, Nuclear Medicine and Imaging, Oral Surgery and Neurology, having authored 121 papers that have together received 1.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (24 papers), Sinusitis and nasal conditions (20 papers), Head and Neck Surgical Oncology (14 papers), Advanced X-ray and CT Imaging (14 papers), COVID-19 diagnosis using AI (10 papers), Lymphatic System and Diseases (10 papers), Dental Radiography and Imaging (10 papers) and Forensic Anthropology and Bioarchaeology Studies (9 papers). The work is most often cited by research in Health Informatics (139 citations), Otorhinolaryngology (184 citations), Oral Surgery (197 citations), Radiology, Nuclear Medicine and Imaging (610 citations) and Archeology (131 citations). Michaela Cellina has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Giancarlo Oliva, Daniele Gibelli, Maurizio Cè, C Martinenghi, Chiarella Sforza, Chiara Floridi, Antonio Giancarlo Oliva, Giovanni Irmici, Marta Panzeri and Sergio Papa. Their work appears in journals such as La radiologia medica, Applied Sciences, Journal of Craniofacial Surgery, International Journal of Legal Medicine and Critical Reviews™ in Oncogenesis.
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.