Fabio Marazzi

759 citations
51 papers · 399 indexed · h-index 12
Topics
Breast Cancer Treatment Studies (18 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)Cancer Treatment and Pharmacology (6 papers)
Partner nations
ItalyUnited StatesFrance

In The Last Decade

Fabio Marazzi

41 papers receiving 391 citations

Peers

Fabio Marazzi
Comparison fields: 5 of 81
  • Oncology 156
  • Pulmonary and Respiratory Medicine 100
  • Radiology, Nuclear Medicine and Imaging 91
  • Cancer Research 76
  • Surgery 59
Replace Maciej Trojanowski with:
Maciej Trojanowski Poland
Anne-Birgitte Jacobsen Norway
William Bodner United States
Chie Masaki Japan
Sernaz Uzunoğlu Türkiye
Assaf Moore Israel
M.J. Tennapel United States
Kathryn Monson United Kingdom
Camilla Molich Hoff Denmark
Farooq Mirza United States
Fabio Marazzi relative to Maciej Trojanowski Poland Maciej Trojanowski's profile →
Citations per field
00.5×1.7×
Maciej Trojanowski · 1×
Citations per year

Countries citing papers authored by Fabio Marazzi

Since Specialization
Citations

This map shows the geographic impact of Fabio Marazzi'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 Fabio Marazzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Marazzi more than expected).

Fields of papers citing papers by Fabio Marazzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio Marazzi. 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 Fabio Marazzi. The network helps show where Fabio Marazzi may publish in the future.

Co-authorship network of co-authors of Fabio Marazzi

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Marazzi. A scholar is included among the top collaborators of Fabio Marazzi 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 Fabio Marazzi. Fabio Marazzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Mola di Monte Gelato (Mazzano Romano - VT): notizie preliminari sulle campagne di scavo 1986-1988 e considerazioni sulle origini dell'incastellamento in Etruria Meridionale alla luce di nuovi dati archeologici
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About Fabio Marazzi

Fabio Marazzi is a scholar working on Cancer Research, Oncology and Radiation, having authored 51 papers that have together received 399 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (18 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Cancer Treatment and Pharmacology (6 papers). The work is most often cited by research in Otorhinolaryngology (34 citations), Oncology (156 citations) and Cancer Research (76 citations). Fabio Marazzi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Vincenzo Valentini, Valeria Masiello, Luca Tagliaferri, Gianluca Franceschini, Riccardo Masetti, Valentina Lancellotta, Maria Antonietta Gambacorta, Bruno Fionda, Giuseppe Colloca and Andrea D’Aviero. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Annals of Oncology.

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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