Maria-Giulia Perrelli
- Pathology and Forensic Medicine top 2%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Emergency Medicine top 5%
- Physiology top 10%
- Co-authors
- Cláudia PennaPasquale PagliaroFrancesca TullioCarmelina AngottiFrancesca MoroGiuseppe PoliRaffaella MastrocolaAnnalisa Merlino
- Topics
- Cardiac Ischemia and Reperfusion (14 papers)Cardiac Arrest and Resuscitation (6 papers)Nitric Oxide and Endothelin Effects (4 papers)
In The Last Decade
Maria-Giulia Perrelli
20 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 93
- Pathology and Forensic Medicine 587
- Molecular Biology 468
- Cardiology and Cardiovascular Medicine 225
- Emergency Medicine 224
- Physiology 204
Countries citing papers authored by Maria-Giulia Perrelli
This map shows the geographic impact of Maria-Giulia Perrelli'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 Maria-Giulia Perrelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria-Giulia Perrelli more than expected).
Fields of papers citing papers by Maria-Giulia Perrelli
This network shows the impact of papers produced by Maria-Giulia Perrelli. 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 Maria-Giulia Perrelli. The network helps show where Maria-Giulia Perrelli may publish in the future.
Co-authorship network of co-authors of Maria-Giulia Perrelli
This figure shows the co-authorship network connecting the top 25 collaborators of Maria-Giulia Perrelli. A scholar is included among the top collaborators of Maria-Giulia Perrelli 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 Maria-Giulia Perrelli. Maria-Giulia Perrelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Mitochondrial Sources of ROS in Cardio Protection and Ischemia/Reperfusion Injury | 2 |
| 3 | 39 | |
| 4 | 58 | |
| 5 | 13 | |
| 6 | 130 | |
| 7 | 26 | |
| 8 | 150 | |
| 9 | 269 | |
| 10 | 25 | |
| 11 | Postconditioning (PostC)-like cardioprotective effects by chromogranin A (CgA)-derived catestatin (CTS) in isolated hearts is mediated by RISK (reperfusion injury salvage kinases) pathway. | 1 |
| 12 | 90 | |
| 13 | 105 | |
| 14 | 61 | |
| 15 | 66 | |
| 16 | 35 | |
| 17 | Effect of the cannabinoid CB1 receptor antagonist SR 141716 in a rat model of liver inflammation | 1 |
| 18 | 95 | |
| 19 | 8 | |
| 20 | 45 |
About Maria-Giulia Perrelli
Maria-Giulia Perrelli is a scholar working on Developmental Neuroscience, Pathology and Forensic Medicine and Emergency Medicine, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (14 papers), Cardiac Arrest and Resuscitation (6 papers) and Nitric Oxide and Endothelin Effects (4 papers). The work is most often cited by research in Developmental Neuroscience (179 citations), Pathology and Forensic Medicine (587 citations) and Emergency Medicine (224 citations). Maria-Giulia Perrelli has collaborated with scholars based in Italy and Spain. Frequent co-authors include Cláudia Penna, Pasquale Pagliaro, Francesca Tullio, Carmelina Angotti, Francesca Moro, Giuseppe Poli, Raffaella Mastrocola, Annalisa Merlino, Manuela Aragno and Juan Carlos Cutrìn. Their work appears in journals such as Biochemical Journal, Free Radical Biology and Medicine and Kidney International.
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.