Lorenzo Preda
Impact in
- Otorhinolaryngology top 1%
- Head and Neck Cancer Studies
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
Papers in
-
- Head and Neck Cancer Studies 26
-
- MRI in cancer diagnosis 18
- Radiomics and Machine Learning in Medical Imaging 18
- Medical Imaging Techniques and Applications 11
- Co-authors
- Massimo BellomiGiuseppe RennePaul SummersLuke BonelloMohssen AnsarinGiuseppe PetraliaRoberto DoreA La Fianza
- Journals
- European Radiology (14 papers)La radiologia medica (8 papers)Radiotherapy and Oncology (7 papers)Cancers (5 papers)Insights into Imaging (5 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Lorenzo Preda
177 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 125
- Otorhinolaryngology 374
- Radiology, Nuclear Medicine and Imaging 1.1k
- Oral Surgery 328
- Pulmonary and Respiratory Medicine 981
- Oncology 555
Countries citing papers authored by Lorenzo Preda
This map shows the geographic impact of Lorenzo Preda'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 Lorenzo Preda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenzo Preda more than expected).
Fields of papers citing papers by Lorenzo Preda
This network shows the impact of papers produced by Lorenzo Preda. 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 Lorenzo Preda. The network helps show where Lorenzo Preda may publish in the future.
Co-authors
The 25 scholars most cited alongside Lorenzo Preda, 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 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 11 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 10 | |
| 12 | 2020 | 13 | |
| 13 | 2020 | 6 | |
| 14 | 2020 | 10 | |
| 15 | 2020 | 86 | |
| 16 | 2016 | 6 | |
| 17 | 2016 | 2 | |
| 18 | 2015 | 24 | |
| 19 | 2014 | 7 | |
| 20 | 2014 | 18 |
About Lorenzo Preda
Lorenzo Preda is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging, Health Informatics, Pulmonary and Respiratory Medicine and Oral Surgery, having authored 186 papers that have together received 3.3k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (26 papers), MRI in cancer diagnosis (18 papers), Radiomics and Machine Learning in Medical Imaging (18 papers), Lung Cancer Diagnosis and Treatment (15 papers), Sarcoma Diagnosis and Treatment (13 papers), Salivary Gland Tumors Diagnosis and Treatment (12 papers), Medical Imaging Techniques and Applications (11 papers) and Advanced Radiotherapy Techniques (10 papers). The work is most often cited by research in Otorhinolaryngology (374 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Oral Surgery (328 citations), Pulmonary and Respiratory Medicine (981 citations) and Oncology (555 citations). Lorenzo Preda has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Massimo Bellomi, Giuseppe Renne, Paul Summers, Luke Bonello, Mohssen Ansarin, Giuseppe Petralia, Roberto Dore, A La Fianza, Francesco Svelto and Maurizio Bozzi. Their work appears in journals such as European Radiology, La radiologia medica, Radiotherapy and Oncology, Cancers and Insights into Imaging.
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.