Enida Bufi

1.1k citations
37 papers · 875 · h-index 15

Impact in

    • MRI in cancer diagnosis
    • Radiomics and Machine Learning in Medical Imaging
    • Advanced Neuroimaging Techniques and Applications
    • Medical Imaging Techniques and Applications
    • Advanced MRI Techniques and Applications
    • Breast Cancer Treatment Studies

Papers in

Enida Bufi

37 papers receiving 860 citations

Peers

Enida Bufi
Comparison fields: 5 of 45
  • Radiology, Nuclear Medicine and Imaging 504
  • Cancer Research 149
  • Pathology and Forensic Medicine 130
  • Genetics 27
  • Oncology 54
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Jose Net United States
Gianfranco Paride Scaperrotta Italy
Lawrence Danso Buadu Japan
Hae Kyoung Jung South Korea
Liulu Zhang China
Dorota J. Wisner United States
Lothar Ponhold Austria
Christopher A. Peters United States
Ko Woon Park South Korea
Chiara Coriani Italy
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Citations per field
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Citations per year

Countries citing papers authored by Enida Bufi

Since Specialization
Citations

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

Fields of papers citing papers by Enida Bufi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Enida Bufi, 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 Enida Bufi Line = papers co-authored together Enida Bufi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010113
2 201272
3 201871
4 201261
5 201157
6 200947
7 201546
8 201440
9 201436
10 201535
11 202133
12 201130
13 201027
14
Unenhanced breast magnetic resonance imaging: detection of breast cancer.
201622
15 201820
16 202015
17 201815
18 202214
19 202214
20 202312

About Enida Bufi

Enida Bufi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 875 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (16 papers), Breast Lesions and Carcinomas (11 papers), Breast Cancer Treatment Studies (9 papers), Breast Implant and Reconstruction (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Cancer Genomics and Diagnostics (2 papers), AI in cancer detection (2 papers) and Body Contouring and Surgery (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (504 citations), Cancer Research (149 citations), Pathology and Forensic Medicine (130 citations), Genetics (27 citations) and Oncology (54 citations). Enida Bufi has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include Paolo Carlo Belli, Melania Costantini, Pierluigi Maria Rinaldi, Lorenzo Bonomo, Gianluca Franceschini, Lorenzo Bonomo, Michela Giuliani, Riccardo M. Manfredi, Gianluigi Petrone and Rossella Rella. Their work appears in journals such as Cancers, Clinical Breast Cancer, La radiologia medica, Diagnostic and Interventional Imaging and European Journal of Radiology.

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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