Michele Scialpi

2.7k citations
120 papers · 1.6k · h-index 26

Impact in

Papers in

Michele Scialpi

116 papers receiving 1.6k citations

Peers

Michele Scialpi
Comparison fields: 5 of 83
  • Radiology, Nuclear Medicine and Imaging 495
  • Pulmonary and Respiratory Medicine 699
  • Surgery 716
  • Rheumatology 232
  • Emergency Medicine 122
Replace Bruce A. Urban with:
Bruce A. Urban United States
David M. Einstein United States
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Gabriele Masselli Italy
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Citations per field
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Citations per year

Countries citing papers authored by Michele Scialpi

Since Specialization
Citations

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

Fields of papers citing papers by Michele Scialpi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200464
2 200663
3 200058
4 201657
5 201753
6 201746
7 201646
8 201543
9 201743
10 201342
11 200841
12 201138
13 201736
14 200435
15 201535
16 201833
17 201832
18
Detection and characterization of focal liver lesions by split-bolus multidetector-row CT: diagnostic accuracy and radiation dose in oncologic patients.
201432
19 199329
20 201728

About Michele Scialpi

Michele Scialpi is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Radiology, Nuclear Medicine and Imaging, Rheumatology and Oncology, having authored 120 papers that have together received 1.6k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (21 papers), Prostate Cancer Treatment and Research (19 papers), MRI in cancer diagnosis (14 papers), Urologic and reproductive health conditions (12 papers), Renal cell carcinoma treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Trauma Management and Diagnosis (8 papers) and Advanced X-ray and CT Imaging (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (495 citations), Pulmonary and Respiratory Medicine (699 citations), Surgery (716 citations), Rheumatology (232 citations) and Emergency Medicine (122 citations). Michele Scialpi has collaborated with scholars based in Italy, United States and Egypt. Frequent co-authors include Antonio Rotondò, Eugenio Martorana, Alfredo D’Andrea, Mariano Scaglione, Maria Cristina Aisa, Giuseppe Angelelli, Luca Brunese, Irene Piscioli, Roberto Grassi and Barbara Palumbo. Their work appears in journals such as European Radiology, Anticancer Research, European Journal of Radiology, Emergency Radiology and La radiologia medica.

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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