Mariarosa Perotti

579 citations
16 papers · 495 indexed · h-index 8
Topics
Cardiac Imaging and Diagnostics (5 papers)Advanced MRI Techniques and Applications (5 papers)Cardiovascular Function and Risk Factors (3 papers)
Partner nations
ItalySwedenUnited States

In The Last Decade

Mariarosa Perotti

14 papers receiving 479 citations

Peers

Mariarosa Perotti
Comparison fields: 5 of 82
  • Molecular Biology 268
  • Immunology 66
  • Radiology, Nuclear Medicine and Imaging 63
  • Cardiology and Cardiovascular Medicine 61
  • Oncology 47
Replace Yan Meng with:
Yan Meng China
Suguru Matsumoto Japan
Cliff Hurd United States
Maria Teresa Rizzo United States
Heung Kyu Ro South Korea
David H. Burgess Sweden
Michele Raviscioni Italy
Laura Blinderman United States
Xiaohui Hu China
P.I. Lundmo Norway
Mariarosa Perotti relative to Yan Meng China Yan Meng's profile →
Citations per field
00.5×4.7×
Yan Meng · 1×
Citations per year

Countries citing papers authored by Mariarosa Perotti

Since Specialization
Citations

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

Fields of papers citing papers by Mariarosa Perotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariarosa Perotti

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 7
3 30
4 1
5 38
6 4
7 4
8 1
9
[Echocardiographic assessment of alcohol consumers in different clinical stages].
0
10
Tumor necrosis factor alpha induces apoptosis in mammary adenocarcinoma cells by an increase in intranuclear free Ca2+ concentration and DNA fragmentation.
170
11 71
12 75
13 40
14 5
15 44
16 5

About Mariarosa Perotti

Mariarosa Perotti is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Science Applications and Biophysics, having authored 16 papers that have together received 495 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (5 papers), Advanced MRI Techniques and Applications (5 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Reproductive Medicine (35 citations), Toxicology (14 citations) and Molecular Biology (268 citations). Mariarosa Perotti has collaborated with scholars based in Italy, Sweden and United States. Frequent co-authors include Sten Orrenius, Francesca Mirabelli, Filippo Taddei, Giorgio Bellomo, Winston A. Anderson, G Finardi, Pierluigi Nicotera, Alberto Salis, H. Swift and Mariapia Vairetti. Their work appears in journals such as FEBS Letters, Biochemical Pharmacology and Biology of Reproduction.

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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