Federica Pediconi

4.2k total citations
77 papers, 1.6k citations indexed

About

Federica Pediconi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Federica Pediconi has authored 77 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Pathology and Forensic Medicine and 19 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Federica Pediconi's work include MRI in cancer diagnosis (35 papers), Advanced MRI Techniques and Applications (18 papers) and Breast Lesions and Carcinomas (18 papers). Federica Pediconi is often cited by papers focused on MRI in cancer diagnosis (35 papers), Advanced MRI Techniques and Applications (18 papers) and Breast Lesions and Carcinomas (18 papers). Federica Pediconi collaborates with scholars based in Italy, United Kingdom and Netherlands. Federica Pediconi's co-authors include Carlo Catalano, Roberto Passariello, Alessandro Napoli, Francesco Fraioli, Massimiliano Danti, Andrea Laghi, Miles A. Kirchin, Francesca Galati, Veronica Rizzo and Antonella Roselli and has published in prestigious journals such as Hepatology, Radiology and American Journal of Roentgenology.

In The Last Decade

Federica Pediconi

73 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Federica Pediconi Italy 24 892 466 413 296 239 77 1.6k
Thi Dan Linh Nguyen‐Kim Switzerland 21 463 0.5× 581 1.2× 320 0.8× 268 0.9× 87 0.4× 73 1.6k
Kunihiko Fukuda Japan 23 709 0.8× 275 0.6× 389 0.9× 282 1.0× 101 0.4× 98 1.6k
L. Kopka Germany 18 1.1k 1.3× 332 0.7× 404 1.0× 404 1.4× 210 0.9× 49 1.6k
Lian‐Ming Wu China 25 924 1.0× 388 0.8× 664 1.6× 130 0.4× 77 0.3× 111 2.0k
Michael Fuchsjäger Austria 24 711 0.8× 566 1.2× 259 0.6× 118 0.4× 70 0.3× 102 1.6k
Hans‐Jürgen Brambs Germany 22 456 0.5× 701 1.5× 518 1.3× 95 0.3× 144 0.6× 47 1.5k
Hideomi Yamashita Japan 30 982 1.1× 1.6k 3.4× 819 2.0× 132 0.4× 168 0.7× 205 3.0k
Riccardo Ragona Italy 28 647 0.7× 1.3k 2.8× 871 2.1× 251 0.8× 167 0.7× 128 2.6k
Dawn Owen United States 27 774 0.9× 736 1.6× 391 0.9× 83 0.3× 171 0.7× 98 1.9k
Terue Okamura Japan 21 437 0.5× 358 0.8× 419 1.0× 219 0.7× 48 0.2× 71 1.4k

Countries citing papers authored by Federica Pediconi

Since Specialization
Citations

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

Fields of papers citing papers by Federica Pediconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Pediconi

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

All Works

20 of 20 papers shown
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Rizzo, Veronica, et al.. (2024). Probing clarity: AI-generated simplified breast imaging reports for enhanced patient comprehension powered by ChatGPT-4o. European Radiology Experimental. 8(1). 124–124. 7 indexed citations
4.
Athanasiou, Alexandra, et al.. (2024). ESR Essentials: diagnostic work-up in patients with symptomatic breast disease—practice recommendations by the European Society of Breast Imaging. European Radiology. 35(2). 723–732. 1 indexed citations
5.
Galati, Francesca, et al.. (2023). Pregnancy-Associated Breast Cancer: A Diagnostic and Therapeutic Challenge. Diagnostics. 13(4). 604–604. 16 indexed citations
6.
Galati, Francesca, et al.. (2022). Radiologic-pathologic correlation in breast cancer: do MRI biomarkers correlate with pathologic features and molecular subtypes?. European Radiology Experimental. 6(1). 39–39. 24 indexed citations
7.
Galati, Francesca, et al.. (2021). Breast imaging: Beyond the detection. European Journal of Radiology. 146. 110051–110051. 19 indexed citations
8.
Galati, Francesca, et al.. (2020). Can MRI Biomarkers Predict Triple-Negative Breast Cancer?. Diagnostics. 10(12). 1090–1090. 22 indexed citations
9.
Pediconi, Federica, Veronica Rizzo, Simone Schiaffino, et al.. (2020). Visceral adipose tissue area predicts intensive care unit admission in COVID-19 patients. Obesity Research & Clinical Practice. 15(1). 89–92. 18 indexed citations
10.
Galati, Francesca, et al.. (2018). Preoperative Staging in Women with Known Breast Cancer: Comparison between Digital Breast Tomosynthesis (DBT) and Magnetic Resonance Imaging (MRI). IRIS Research product catalog (Sapienza University of Rome). 7(2). 33–33. 1 indexed citations
11.
Verma, Garima, et al.. (2017). Microcalcification morphological descriptors and parenchyma fractal dimension hierarchically interact in breast cancer: A diagnostic perspective. Computers in Biology and Medicine. 93. 1–6. 14 indexed citations
12.
Bassetti, E., et al.. (2011). Breast prosthesis: Management of patients after plastic surgery. Journal of Ultrasound. 14(3). 113–121. 3 indexed citations
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Pediconi, Federica, Carlo Catalano, Antonella Roselli, et al.. (2009). The Challenge of Imaging Dense Breast Parenchyma. Investigative Radiology. 44(7). 412–421. 40 indexed citations
15.
Fraioli, Francesco, Alessandro Napoli, Federica Pediconi, et al.. (2007). Computer-aided Detection (CAD) in Lung Cancer Screening at Chest MDCT. Journal of Thoracic Imaging. 22(3). 241–246. 23 indexed citations
16.
Pediconi, Federica, Carlo Catalano, Antonella Roselli, et al.. (2007). Contrast-enhanced MR Mammography for Evaluation of the Contralateral Breast in Patients with Diagnosed Unilateral Breast Cancer or High-Risk Lesions1. Radiology. 243(3). 670–680. 63 indexed citations
17.
Pediconi, Federica, Carlo Catalano, Francesco Fraioli, et al.. (2005). Breast Lesion Detection and Characterization at Contrast-enhanced MR Mammography: Gadobenate Dimeglumine versus Gadopentetate Dimeglumine. Radiology. 237(1). 45–56. 69 indexed citations
18.
Pediconi, Federica, Antonella Roselli, Enrica Moriconi, et al.. (2005). CE-Magnetic Resonance Mammography for the evaluation of the contralateral breast in patients with diagnosed breast cancer.. PubMed. 110(1-2). 61–8. 12 indexed citations
19.
Fraioli, Francesco, Carlo Catalano, Vito Cantisani, et al.. (2005). Evaluation of effectiveness of a computer system (CAD) in the identification of lung nodules with low-dose MSCT: scanning technique and preliminary results.. PubMed. 109(1-2). 40–8. 6 indexed citations
20.
Catalano, Carlo, Andrea Laghi, Federica Pediconi, et al.. (2001). [Magnetic resonance angiography with contrast media in the study of carotid arteries].. PubMed. 101(1-2). 54–9. 5 indexed citations

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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