Fabiola Paiar

165 papers receiving 3.4k citations

Peers

Fabiola Paiar
Comparison fields: 5 of 109
  • Otorhinolaryngology 616
  • Cancer Research 746
  • Radiation 319
  • Obstetrics and Gynecology 222
  • Pulmonary and Respiratory Medicine 863
Replace James P. Morden with:
James P. Morden United Kingdom
Ulrike Schick France
Alba Fiorentino Italy
Cordula Petersen Germany
Rosario Mazzola Italy
Jong Hoon Kim South Korea
Masahiko Oguchi Japan
Takeshi Kodaira Japan
Khalil Sultanem Canada
William J. Spanos United States
Fabiola Paiar relative to James P. Morden United Kingdom James P. Morden's profile →
Citations per field
00.5×2×3×4×4.5×
James P. Morden · 1×
Citations per year

Countries citing papers authored by Fabiola Paiar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Fabiola Paiar Line = papers co-authored together Fabiola Paiar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 173 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015369
2 2015171
3 2005117
4 2012114
5 200994
6 201287
7 201186
8 200378
9 201973
10 201771
11 201969
12 200567
13 201665
14 201860
15 201650
16 200648
17 201346
18 202145
19 201543
20 200337

About Fabiola Paiar

Fabiola Paiar is a scholar working on Otorhinolaryngology, Cancer Research, Radiation, Pulmonary and Respiratory Medicine and Oncology, having authored 173 papers that have together received 3.5k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (26 papers), Breast Cancer Treatment Studies (20 papers), Advanced Radiotherapy Techniques (17 papers), Glioma Diagnosis and Treatment (15 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Endometrial and Cervical Cancer Treatments (9 papers), Dysphagia Assessment and Management (8 papers) and Brain Metastases and Treatment (6 papers). The work is most often cited by research in Otorhinolaryngology (616 citations), Cancer Research (746 citations), Radiation (319 citations), Obstetrics and Gynecology (222 citations) and Pulmonary and Respiratory Medicine (863 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, Calogero Saieva, Stefano Maria Magrini, Icro Meattini, Giampaolo Biti, Simonetta Bianchi and Livia Marrazzo. Their work appears in journals such as La radiologia medica, International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology, Anticancer Research 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.

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