Massimo Piredda

514 citations
6 papers · 311 · h-index 6

Impact in

  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications
    • Tissue Engineering and Regenerative Medicine
    • Cardiac Structural Anomalies and Repair

Papers in

Massimo Piredda

6 papers receiving 306 citations

Peers

Massimo Piredda
Comparison fields: 5 of 53
  • Biomaterials 146
  • Surgery 177
  • Behavioral Neuroscience 14
  • Molecular Medicine 18
  • Neurology 42
Replace Yingsheng Xu with:
Yingsheng Xu China
Keshav Goël United States
Bingbo Bao China
Enrico Pusineri Italy
Michael Doser Germany
Jin hwan Yoon South Korea
Megan M. Marlow United States
Robin Duelen Belgium
Tomasz Kowalski United States
David S. Jones United States
Massimo Piredda relative to Yingsheng Xu China Yingsheng Xu's profile →
Citations per field
00.5×4.7×
Yingsheng Xu · 1×
Citations per year

Countries citing papers authored by Massimo Piredda

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Piredda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2015123
2 2015108
3 198945
4 200420
5 19998
6 19897

About Massimo Piredda

Massimo Piredda is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism and Biomedical Engineering, having authored 6 papers that have together received 311 indexed citations. Recurring topics across this work include Pharmacological Effects and Toxicity Studies (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Mechanical Circulatory Support Devices (2 papers), Neurological and metabolic disorders (2 papers), Metabolism and Genetic Disorders (1 paper), Epilepsy research and treatment (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Biomaterials (146 citations), Surgery (177 citations), Behavioral Neuroscience (14 citations), Molecular Medicine (18 citations) and Neurology (42 citations). Massimo Piredda has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Hani N. Sabbah, Andrew J.S. Coats, Luca Bettari, Scott D. Solomon, Robert D. Dowling, Enrico Pusineri, Bridget‐Anne Kirwan, Stefan D. Anker, Maurizio Volterrani and Andy Hinson. Their work appears in journals such as European Journal of Heart Failure, Neurology, Journal of Neurology, European Heart Journal and Brain Research.

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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