Fabiola Paiar
- Otorhinolaryngology top 0.5%
- Head and Neck Cancer Studies 30
- Radiation top 1%
- Advanced Radiotherapy Techniques 30
- Cancer Research top 2%
- Breast Cancer Treatment Studies 21
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- Sarcoma Diagnosis and Treatment 11
- Oncology top 5%
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- Glioma Diagnosis and Treatment 15
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- Head and Neck Surgical Oncology 14
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- Medical Imaging Techniques and Applications 13
- Radiomics and Machine Learning in Medical Imaging 13
- Co-authors
- Lorenzo LiviGabriele SimontacchiFrancesco PasqualettiRiccardo MorgantiGiampaolo BitiCalogero SaievaStefano Maria MagriniIcro Meattini
- Journals
- La radiologia medica (12 papers)International Journal of Radiation Oncology*Biology*Physics (10 papers)Anticancer Research (7 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Fabiola Paiar
144 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 106
- Otorhinolaryngology 680
- Radiation 489
- Cancer Research 721
- Pulmonary and Respiratory Medicine 1.0k
- Oncology 829
Countries citing papers authored by Fabiola Paiar
This map shows the geographic impact of Fabiola Paiar'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 Fabiola Paiar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabiola Paiar more than expected).
Fields of papers citing papers by Fabiola Paiar
This network shows the impact of papers produced by Fabiola Paiar. 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 Fabiola Paiar. The network helps show where Fabiola Paiar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fabiola Paiar, 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 | 2024 | 8 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 7 | |
| 9 | 2021 | 19 | |
| 10 | 2021 | 14 | |
| 11 | 2020 | 2 | |
| 12 | 2017 | 5 | |
| 13 | 2017 | 26 | |
| 14 | 2015 | 40 | |
| 15 | 2013 | 13 | |
| 16 | 2012 | 3 | |
| 17 | 2011 | 1 | |
| 18 | 2011 | 8 | |
| 19 | 2009 | 1 | |
| 20 | 2005 | 57 |
About Fabiola Paiar
Fabiola Paiar is a scholar working on Otorhinolaryngology, Radiation, Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 148 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (30 papers), Head and Neck Cancer Studies (30 papers), Breast Cancer Treatment Studies (21 papers), Glioma Diagnosis and Treatment (15 papers), Head and Neck Surgical Oncology (14 papers), Medical Imaging Techniques and Applications (13 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Sarcoma Diagnosis and Treatment (11 papers). The work is most often cited by research in Otorhinolaryngology (680 citations), Radiation (489 citations), Cancer Research (721 citations), Pulmonary and Respiratory Medicine (1.0k citations) and Oncology (829 citations). Fabiola Paiar has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Lorenzo Livi, Gabriele Simontacchi, Francesco Pasqualetti, Riccardo Morganti, Giampaolo Biti, Calogero Saieva, Stefano Maria Magrini, Icro Meattini, Simonetta Bianchi and L. Marrazzo. Their work appears in journals such as La radiologia medica, International Journal of Radiation Oncology*Biology*Physics, Anticancer Research, Radiotherapy and Oncology and Journal of Contemporary Brachytherapy.
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.