Filippo Mangiapane

993 citations
12 papers · 694 indexed · h-index 9
Topics
Colorectal Cancer Screening and Detection (6 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Colorectal Cancer Surgical Treatments (4 papers)
Partner nations
ItalyJapanSpain

In The Last Decade

Filippo Mangiapane

12 papers receiving 672 citations

Peers

Filippo Mangiapane
Comparison fields: 5 of 34
  • Oncology 423
  • Radiology, Nuclear Medicine and Imaging 285
  • Pulmonary and Respiratory Medicine 213
  • Hepatology 169
  • Surgery 140
Replace Federica De Muzio with:
Federica De Muzio Italy
Maria Chiara Brunese Italy
Zhihui Fan China
Xavier Montanyà Spain
Jeongin Yoo South Korea
Mark D. Hohenwalter United States
Ana L. Keppke United States
Cosmin Caraiani Romania
Alessandro Posa Italy
Ryoji Takada Japan
Filippo Mangiapane relative to Federica De Muzio Italy Federica De Muzio's profile →
Citations per field
00.5×2.6×
Federica De Muzio · 1×
Citations per year

Countries citing papers authored by Filippo Mangiapane

Since Specialization
Citations

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

Fields of papers citing papers by Filippo Mangiapane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filippo Mangiapane

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 124
2 47
3 202
4 5
5 56
6 91
7 105
8 23
9
Multislice spiral CT colonography in the evaluation of colorectal neoplasms.
26
10
Triple-phase multislice CT in patients at high risk for hepatocelluar carcinoma
2
11 9
12
Multiphase multislice spiral CT for liver assessment: optimization in cirrhotic patients.
4

About Filippo Mangiapane

Filippo Mangiapane is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 12 papers that have together received 694 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Colorectal Cancer Surgical Treatments (4 papers). The work is most often cited by research in Hepatology (169 citations), Oncology (423 citations) and Radiology, Nuclear Medicine and Imaging (285 citations). Filippo Mangiapane has collaborated with scholars based in Italy, Japan and Spain. Frequent co-authors include Roberto Passariello, Riccardo Iannaccone, Andrea Laghi, Carlo Catalano, Francesca Piacentini, Italo Nofroni, Masatoshi Hori, Takamichi Murakami, Plinio Rossi and A Schillaci. Their work appears in journals such as Circulation, Gastroenterology and 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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