Massimo Lombardi

14.1k citations
271 papers · 7.3k indexed · h-index 48

Impact in

Papers in

Massimo Lombardi

256 papers receiving 7.1k citations

Peers

Massimo Lombardi
Comparison fields: 5 of 140
  • Cardiology and Cardiovascular Medicine 3.9k
  • Radiology, Nuclear Medicine and Imaging 3.1k
  • Genetics 1.1k
  • Hematology 928
  • Surgery 1.4k
Replace Peter Gatehouse with:
Peter Gatehouse United Kingdom
Andrew E. Arai United States
Jonathan Hill United Kingdom
Frank M. Bengel Germany
Marianna Fontana United Kingdom
Riemer H. J. A. Slart Netherlands
Raymond Y. Kwong United States
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Tomas G. Neilan United States
Nagara Tamaki Japan
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Citations per field
00.5×1.7×
Peter Gatehouse · 1×
Citations per year

Countries citing papers authored by Massimo Lombardi

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Lombardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
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10 202217
11 202112
12 20215
13 201926
14
Retinal Stem Cells Reprogramming
20180
15 20178
16 20164
17 2011120
18
Clinical correlates of myocardial salvage index in acute ST-segment elevation myocardial infarction: a magnetic resonance imaging study
20091
19
Standardized T2* Map of Normal Human Heart in Vivo To Correct T2* Segmental Artifacts: a multislace, multiecho T2* approach for cardiac iron overloaded patients
20075
20 20079

About Massimo Lombardi

Massimo Lombardi is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Genetics, Hematology and Biophysics, having authored 271 papers that have together received 7.3k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (92 papers), Advanced MRI Techniques and Applications (90 papers), Cardiovascular Function and Risk Factors (54 papers), Hemoglobinopathies and Related Disorders (42 papers), Cardiomyopathy and Myosin Studies (32 papers), Iron Metabolism and Disorders (30 papers), Advanced NMR Techniques and Applications (20 papers) and Cardiac electrophysiology and arrhythmias (17 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.9k citations), Radiology, Nuclear Medicine and Imaging (3.1k citations), Genetics (1.1k citations), Hematology (928 citations) and Surgery (1.4k citations). Massimo Lombardi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Vincenzo Positano, Giovanni Donato Aquaro, Daniele De Marchi, Alessandro Pingitore, Luigi Landini, Pier Giorgio Masci, Alessia Pepe, Maria Filomena Santarelli, Juerg Schwitter and Andrea Barison. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, European Heart Journal, Journal of Magnetic Resonance Imaging, Blood and International Journal of Cardiology.

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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