Massimo Imbriaco

6.7k citations
186 papers · 4.5k indexed · h-index 36
Topics
Cardiac Imaging and Diagnostics (33 papers)Lysosomal Storage Disorders Research (25 papers)Radiomics and Machine Learning in Medical Imaging (24 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood

In The Last Decade

Massimo Imbriaco

179 papers receiving 4.4k citations

Peers

Massimo Imbriaco
Comparison fields: 5 of 117
  • Radiology, Nuclear Medicine and Imaging 2.2k
  • Pulmonary and Respiratory Medicine 1.4k
  • Cardiology and Cardiovascular Medicine 817
  • Surgery 803
  • Oncology 683
Replace Jin Chul Paeng with:
Jin Chul Paeng South Korea
Giorgio Treglia Switzerland
Christian Rübe Germany
Patrick Veit‐Haibach Switzerland
Andrea Rockall United Kingdom
Ashkan A. Malayeri United States
Nathalie Lassau France
Clemens C. Cyran Germany
Nicola Schieda Canada
Michaël Soussan France
Massimo Imbriaco relative to Jin Chul Paeng South Korea Jin Chul Paeng's profile →
Citations per field
00.5×1.5×1.9×
Jin Chul Paeng · 1×
Citations per year

Countries citing papers authored by Massimo Imbriaco

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Imbriaco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Imbriaco

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Imbriaco. A scholar is included among the top collaborators of Massimo Imbriaco 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 Massimo Imbriaco. Massimo Imbriaco 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
#WorkIndexed citations
1 7
2 9
3 3
4 7
5 2
6 3
7 20
8 0
9 13
10 51
11 13
12 2
13 2
14 28
15 0
16 33
17 8
18
The many ways to myocardial perfusion imaging.
36
19 65
20
Single-phase helical CT protocol in the evaluation of patients with suspicion of pancreatic carcinoma
1

About Massimo Imbriaco

Massimo Imbriaco is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 186 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (33 papers), Lysosomal Storage Disorders Research (25 papers) and Radiomics and Machine Learning in Medical Imaging (24 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.2k citations), Pulmonary and Respiratory Medicine (1.4k citations) and Health Informatics (56 citations). Massimo Imbriaco has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Steven M. Larson, Henry Yeung, Yusuf E. Erdi, Marco Salvatore, Osama Mawlawi, John L. Humm, Alberto Cuocolo, Renato Cuocolo, Antonio Pisani and R.D. Finn. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

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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