Maria Maiello
- Cardiology and Cardiovascular Medicine top 5%
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Physiology
- Epidemiology
- Co-authors
- Pasquale PalmieroMarco Matteo CicconeVincenza SpallonePietro ScicchitanoRoberto PedrinelliMatteo CameliPier Sergio SabaPietro Amedeo Modesti
- Topics
- Cardiovascular Function and Risk Factors (16 papers)Blood Pressure and Hypertension Studies (13 papers)Cardiovascular Health and Disease Prevention (11 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismAnesthesiology and Pain Medicine
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Maria Maiello
51 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Cardiology and Cardiovascular Medicine 613
- Surgery 242
- Endocrinology, Diabetes and Metabolism 187
- Physiology 182
- Epidemiology 112
Countries citing papers authored by Maria Maiello
This map shows the geographic impact of Maria Maiello'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 Maiello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Maiello more than expected).
Fields of papers citing papers by Maria Maiello
This network shows the impact of papers produced by Maria Maiello. 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 Maiello. The network helps show where Maria Maiello may publish in the future.
Co-authorship network of co-authors of Maria Maiello
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Maiello. A scholar is included among the top collaborators of Maria Maiello 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 Maiello. Maria Maiello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 14 | |
| 3 | 11 | |
| 4 | 49 | |
| 5 | Preclinical atherosclerosis, metabolic syndrome and risk of cardiovascular events | 1 |
| 6 | 47 | |
| 7 | 14 | |
| 8 | 9 | |
| 9 | 52 | |
| 10 | 13 | |
| 11 | 23 | |
| 12 | 32 | |
| 13 | 26 | |
| 14 | 9 | |
| 15 | 0 | |
| 16 | 14 | |
| 17 | Lateral ventricle subependymomas. Case report taking into particular consideration the aspects of magnetic resonance and review of the literature. | 1 |
| 18 | 44 | |
| 19 | 46 | |
| 20 | 3 |
About Maria Maiello
Maria Maiello is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Critical Care and Intensive Care Medicine, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (16 papers), Blood Pressure and Hypertension Studies (13 papers) and Cardiovascular Health and Disease Prevention (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (613 citations), Endocrinology, Diabetes and Metabolism (187 citations) and Anesthesiology and Pain Medicine (41 citations). Maria Maiello has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Pasquale Palmiero, Marco Matteo Ciccone, Vincenza Spallone, Pietro Scicchitano, Roberto Pedrinelli, Matteo Cameli, Pier Sergio Saba, Pietro Amedeo Modesti, Salvatore Novo and G. Menzinger. Their work appears in journals such as Diabetes Care, Nephrology Dialysis Transplantation and Diabetic Medicine.
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.