Matteo Morello

2.2k citations
26 papers · 1.4k · h-index 12

Impact in

Papers in

Matteo Morello

19 papers receiving 1.4k citations

Peers

Matteo Morello
Comparison fields: 5 of 78
  • Cancer Research 738
  • Immunology and Allergy 126
  • Molecular Biology 1.1k
  • Cell Biology 248
  • Immunology 125
Replace Andrew J. McKenzie with:
Andrew J. McKenzie United States
Takeharu Sakamoto Japan
Hoanh Tran United States
Alexei A. Goltsov United States
Victor Stastny United States
Tim Eiseler Germany
Koichi Nagasaki Japan
Christelle Benaud France
Melody Stallings‐Mann United States
Lucia Cappabianca Italy
Matteo Morello relative to Andrew J. McKenzie United States Andrew J. McKenzie's profile →
Citations per field
00.5×1.5×2.4×
Andrew J. McKenzie · 1×
Citations per year

Countries citing papers authored by Matteo Morello

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Morello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009334
2 2012331
3 2013185
4 2009114
5 201397
6 201280
7 200862
8 201961
9 200859
10 201326
11 201124
12 202116
13
[Diagnostic imaging of aortic pseudoaneurysm: study of 4 clinical cases].
19965
14 20244
15
The Myocardial Performance Index detects chronic cardiac allograft dysfunction sooner than other methods.
20064
16 20224
17 20212
18 20242
19 20211
20 20240

About Matteo Morello

Matteo Morello is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Cancer Research and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), Cardiac Imaging and Diagnostics (3 papers), Caveolin-1 and cellular processes (3 papers), MicroRNA in disease regulation (2 papers), Cancer, Lipids, and Metabolism (2 papers), Circular RNAs in diseases (2 papers), Heat shock proteins research (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Cancer Research (738 citations), Immunology and Allergy (126 citations), Molecular Biology (1.1k citations), Cell Biology (248 citations) and Immunology (125 citations). Matteo Morello has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Michael R. Freeman, Dolores Di Vizio, Francesca Demichelis, Rosalyn M. Adam, Martin H. Hager, Mark A. Rubin, Michael P. Lisanti, Jayoung Kim, Neil A. Bhowmick and Wei Yang. Their work appears in journals such as Journal of the American Society of Echocardiography, Cell Cycle, Endocrinology, Journal of Clinical Medicine 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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