Massimo Daprà

555 citations
10 papers · 456 · h-index 8

Impact in

    • Advanced MRI Techniques and Applications
    • MRI in cancer diagnosis
    • Cardiac Imaging and Diagnostics
    • Medical Imaging Techniques and Applications
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Massimo Daprà

10 papers receiving 444 citations

Peers

Massimo Daprà
Comparison fields: 5 of 37
  • Radiology, Nuclear Medicine and Imaging 232
  • Hepatology 36
  • Materials Chemistry 170
  • Pulmonary and Respiratory Medicine 36
  • Biophysics 6
Replace Chikashi Negishi with:
Chikashi Negishi United States
K.-P. Lodemann Germany
Klaus‐Peter Lodemann Germany
Klaus P. Aicher Germany
Stephen Eaton United States
JOHN W. WELLS United States
Anthony Brito United States
W R Press Germany
H. Graf Germany
G Pirovano Italy
Massimo Daprà relative to Chikashi Negishi United States Chikashi Negishi's profile →
Citations per field
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Chikashi Negishi · 1×
Citations per year

Countries citing papers authored by Massimo Daprà

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Daprà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1997236
2 200568
3 199432
4 199131
5 200230
6 200328
7 199719
8 19977
9 20034
10 20021

About Massimo Daprà

Massimo Daprà is a scholar working on Radiology, Nuclear Medicine and Imaging, Materials Chemistry, Nephrology, Epidemiology and Emergency Medicine, having authored 10 papers that have together received 456 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (7 papers), Lanthanide and Transition Metal Complexes (5 papers), MRI in cancer diagnosis (3 papers), Dendrimers and Hyperbranched Polymers (1 paper), Cardiac Arrest and Resuscitation (1 paper), Acute Kidney Injury Research (1 paper), Liver Disease and Transplantation (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (232 citations), Hepatology (36 citations), Materials Chemistry (170 citations), Pulmonary and Respiratory Medicine (36 citations) and Biophysics (6 citations). Massimo Daprà has collaborated with scholars based in Italy, Germany and Netherlands. Frequent co-authors include Friedrich Cavagna, Fabio Maggioni, Bruce G. Jenkins, Vito Lorusso, Alberto Spinazzi, Christoph de Haën, Stefan G. Ruehm, Pasquina Marzola, Angelo Vanzulli and Mathias Goyen. Their work appears in journals such as Investigative Radiology, European Radiology, Academic Radiology, Radiology and Journal of Magnetic Resonance Imaging.

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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